Applying Light Natural Language Processing to Ad-Hoc Cross Language Information Retrieval. - Christina Lioma; Craig Macdonald; Ben He; Vassilis Plachouras; Iadh Ounis (CLEF (Working Notes), 2005)

University of Glasgow at WebCLEF 2005: Experiments in per-field Normalisation and Language Specific Stemming. - Craig Macdonald; Vassilis Plachouras; Ben He; Christina Lioma; Iadh Ounis (CLEF (Working Notes), 2005)

Terrier Information Retrieval Platform. - Iadh Ounis; Gianni Amati; Vassilis Plachouras; Ben He; Craig Macdonald; Douglas Johnson (ECIR, 2005)

University of Glasgow at TREC 2005: Experiments in Terabyte and Enterprise Tracks with Terrier. - Craig Macdonald; Ben He; Vassilis Plachouras; Iadh Ounis (TREC, 2005)

Voting for candidates: adapting data fusion techniques for an expert search task. - Craig Macdonald; Iadh Ounis (CIKM, 2006)

Combining fields in known-item email search. - Craig Macdonald; Iadh Ounis (SIGIR, 2006)

Searching for expertise using the terrier platform. - Craig Macdonald; Iadh Ounis (SIGIR, 2006)

University of Glasgow at TREC 2006: Experiments in Terabyte and Enterprise Tracks with Terrier. - Christina Lioma; Craig Macdonald; Vassilis Plachouras; Jie Peng 003; Ben He; Iadh Ounis (TREC, 2006)

Overview of the TREC 2006 Blog Track. - Iadh Ounis; Craig Macdonald; Maarten de Rijke; Gilad Mishne; Ian Soboroff (TREC, 2006)

Expertise drift and query expansion in expert search. - Craig Macdonald; Iadh Ounis (CIKM, 2007)

Using Relevance Feedback in Expert Search. - Craig Macdonald; Iadh Ounis (ECIR, 2007)

Combination of Document Priors in Web Information Retrieval. - Jie Peng 003; Craig Macdonald; Ben He; Iadh Ounis (RIAO, 2007)

Incorporating term dependency in the dfr framework. - Jie Peng 003; Craig Macdonald; Ben He; Vassilis Plachouras; Iadh Ounis (SIGIR, 2007)

University of Glasgow at TREC 2007: Experiments in Blog and Enterprise Tracks with Terrier. - David Hannah; Craig Macdonald; Jie Peng 003; Ben He; Iadh Ounis (TREC, 2007)

Overview of the TREC 2007 Blog Track. - Craig Macdonald; Iadh Ounis; Ian Soboroff (TREC, 2007)

An effective statistical approach to blog post opinion retrieval. - Ben He; Craig Macdonald; Jiyin He; Iadh Ounis (CIKM, 2008)

Key blog distillation: ranking aggregates. - Craig Macdonald; Iadh Ounis (CIKM, 2008)

Analysis of Link Graph Compression Techniques. - David Hannah; Craig Macdonald; Iadh Ounis (ECIR, 2008)

High Quality Expertise Evidence for Expert Search. - Craig Macdonald; David Hannah; Iadh Ounis (ECIR, 2008)

Expert Search Evaluation by Supporting Documents. - Craig Macdonald; Iadh Ounis (ECIR, 2008)

On the TREC Blog Track. - Iadh Ounis; Craig Macdonald; Ian Soboroff (ICWSM, 2008)

Retrieval sensitivity under training using different measures. - Ben He; Craig Macdonald; Iadh Ounis (SIGIR, 2008)

Ranking opinionated blog posts using OpinionFinder. - Ben He; Craig Macdonald; Iadh Ounis (SIGIR, 2008)

Limits of opinion-finding baseline systems. - Craig Macdonald; Ben He; Iadh Ounis; Ian Soboroff (SIGIR, 2008)

Automatic document prior feature selection for web retrieval. - Jie Peng 003; Craig Macdonald; Iadh Ounis (SIGIR, 2008)

University of Glasgow at TREC 2008: Experiments in Blog, Enterprise, and Relevance Feedback Tracks with Terrier. - Ben He; Craig Macdonald; Iadh Ounis; Jie Peng 003; Rodrygo L. T. Santos (TREC, 2008)

Overview of the TREC 2008 Blog Track. - Iadh Ounis; Craig MacDonald; Ian Soboroff (TREC, 2008)

Voting techniques for expert search. - Craig Macdonald; Iadh Ounis (Knowl. Inf. Syst., 2008)

The influence of the document ranking in expert search. - Craig Macdonald; Iadh Ounis (CIKM, 2009)

A study of selective collection enrichment for enterprise search. - Jie Peng 003; Craig Macdonald; Ben He; Iadh Ounis (CIKM, 2009)

Integrating Proximity to Subjective Sentences for Blog Opinion Retrieval. - Rodrygo L. T. Santos; Ben He; Craig Macdonald; Iadh Ounis (ECIR, 2009)

On perfect document rankings for expert search. - Craig Macdonald; Iadh Ounis (SIGIR, 2009)

Is spam an issue for opinionated blog post search? - Craig Macdonald; Iadh Ounis; Ian Soboroff (SIGIR, 2009)

Usefulness of click-through data in expert search. - Craig Macdonald; Ryen W. White (SIGIR, 2009)

On single-pass indexing with MapReduce. - Richard McCreadie; Craig Macdonald; Iadh Ounis (SIGIR, 2009)

Comparing Distributed Indexing: To MapReduce or Not? - Richard McCreadie; Craig Macdonald; Iadh Ounis (LSDS-IR@SIGIR, 2009)

Expertise search in academia using facets. - Duncan McDougall; Craig Macdonald (SIGIR, 2009)

Overview of the TREC 2009 Blog Track. - Craig Macdonald; Iadh Ounis; Ian Soboroff (TREC, 2009)

University of Glasgow at TREC 2009: Experiments with Terrier. - Richard McCreadie; Craig Macdonald; Iadh Ounis; Jie Peng 003; Rodrygo L. T. Santos (TREC, 2009)

Usefulness of quality click-through data for training. - Craig Macdonald; Iadh Ounis (WSCD@WSDM, 2009)

Searching for Expertise: Experiments with the Voting Model. - Craig Macdonald; Iadh Ounis (Comput. J., 2009)

The voting model for people search. - Craig Macdonald (SIGIR Forum, 2009)

The voting model for people search. - Craig Macdonald (2009)

WEB Information Retrieval Models. - Craig Macdonald; Iadh Ounis (Encyclopedia of Database Systems, 2009)

Spam detection with a content-based random-walk algorithm. - F. Javier Ortega; Craig Macdonald; José A. Troyano; Fermín L. Cruz (SMUC@CIKM, 2010)

Selectively diversifying web search results. - Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (CIKM, 2010)

Learning to Select a Ranking Function. - Jie Peng 003; Craig Macdonald; Iadh Ounis (ECIR, 2010)

Explicit Search Result Diversification through Sub-queries. - Rodrygo L. T. Santos; Jie Peng 003; Craig Macdonald; Iadh Ounis (ECIR, 2010)

News article ranking: leveraging the wisdom of bloggers. - Richard McCreadie; Craig Macdonald; Iadh Ounis (RIAO, 2010)

Voting for related entities. - Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (RIAO, 2010)

Efficient Dynamic Pruning with Proximity Support. - Nicola Tonellotto; Craig Macdonald; Iadh Ounis (LSDS-IR@SIGIR, 2010)

University of Glasgow at TREC 2010: Experiments with Terrier in Blog and Web Tracks. - Rodrygo L. T. Santos; Richard McCreadie; Craig Macdonald; Iadh Ounis (TREC, 2010)

Exploiting query reformulations for web search result diversification. - Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (WWW, 2010)

Blog track research at TREC. - Craig Macdonald; Rodrygo L. T. Santos; Iadh Ounis; Ian Soboroff (SIGIR Forum, 2010)

Effectiveness beyond the first crawl tier. - Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (CIKM, 2011)

Learning Models for Ranking Aggregates. - Craig Macdonald; Iadh Ounis (ECIR, 2011)

Protocol-Driven Searches for Medical and Health-Sciences Systematic Reviews. - Matt-Mouley Bouamrane; Craig Macdonald; Iadh Ounis; Frances S. Mair (ICTIR, 2011)

On Upper Bounds for Dynamic Pruning. - Craig Macdonald; Nicola Tonellotto; Iadh Ounis (ICTIR, 2011)

Aggregated Search Result Diversification. - Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (ICTIR, 2011)

Combining Textual Content and Hyperlinks in Web Spam Detection. - F. Javier Ortega; Craig Macdonald; José A. Troyano; Fermín L. Cruz; Fernando Enríquez (NLDB, 2011)

University of Glasgow at the NTCIR-9 Intent task: Experiments with Terrier on Subtopic Mining and Document Ranking. - Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (NTCIR, 2011)

Disambiguating biomedical acronyms using EMIM. - Nut Limsopatham; Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (SIGIR, 2011)

Intent-aware search result diversification. - Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (SIGIR, 2011)

On the suitability of diversity metrics for learning-to-rank for diversity. - Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (SIGIR, 2011)

How diverse are web search results? - Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (SIGIR, 2011)

Effect of different docid orderings on dynamic pruning retrieval strategies. - Nicola Tonellotto; Craig Macdonald; Iadh Ounis (SIGIR, 2011)

Sparse Spatial Selection for Novelty-Based Search Result Diversification. - Veronica Gil-Costa; Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (SPIRE, 2011)

A Learned Approach for Ranking News in Real-Time Using the Blogosphere. - Richard McCreadie; Craig Macdonald; Iadh Ounis (SPIRE, 2011)

University of Glasgow at Medical Records Track: Experiments with Terrier. - Nut Limsopatham; Craig Macdonald; Iadh Ounis; Graham McDonald; Matt-Mouley Bouamrane (TREC, 2011)

University of Glasgow at TREC 2011: Experiments with Terrier in Crowdsourcing, Microblog, and Web Tracks. - Richard McCreadie; Craig Macdonald; Rodrygo L. T. Santos; Iadh Ounis (TREC, 2011)

Overview of the TREC 2011 Microblog Track. - Iadh Ounis; Craig Macdonald; Jimmy Lin; Ian Soboroff (TREC, 2011)

Mimicking Web search engines for expert search. - Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (Inf. Process. Manag., 2011)

The 1st international workshop on diversity in document retrieval. - Craig Macdonald; Charles L. A. Clarke; Jun Wang 012 (SIGIR Forum, 2011)

Upper-bound approximations for dynamic pruning. - Craig Macdonald; Iadh Ounis; Nicola Tonellotto (ACM Trans. Inf. Syst., 2011)

On the usefulness of query features for learning to rank. - Craig Macdonald; Rodrygo L. T. Santos; Iadh Ounis (CIKM, 2012)

An examination of content farms in web search using crowdsourcing. - Richard McCreadie; Craig Macdonald; Iadh Ounis; Jim Giles; Ferris Jabr (CIKM, 2012)

Evaluating Real-Time Search over Tweets. - Dean McCullough; Jimmy Lin; Craig Macdonald; Iadh Ounis; Richard McCreadie (ICWSM, 2012)

SMART: An Open Source Framework for Searching the Physical World. - M-Dyaa Albakour; Craig Macdonald; Iadh Ounis; Aristodemos Pnevmatikakis; John Soldatos 001 (OSIR@SIGIR, 2012)

Scheduling queries across replicas. - Ana Freire; Craig Macdonald; Nicola Tonellotto; Iadh Ounis; Fidel Cacheda (SIGIR, 2012)

Exploiting term dependence while handling negation in medical search. - Nut Limsopatham; Craig Macdonald; Richard McCreadie; Iadh Ounis (SIGIR, 2012)

From Puppy to Maturity: Experiences in Developing Terrier. - Craig Macdonald; Richard McCreadie; Rodrygo L. T. Santos; Iadh Ounis (OSIR@SIGIR, 2012)

Learning to predict response times for online query scheduling. - Craig Macdonald; Nicola Tonellotto; Iadh Ounis (SIGIR, 2012)

Effect of dynamic pruning safety on learning to rank effectiveness. - Craig Macdonald; Nicola Tonellotto; Iadh Ounis (SIGIR, 2012)

CrowdTerrier: automatic crowdsourced relevance assessments with terrier. - Richard McCreadie; Craig Macdonald; Iadh Ounis (SIGIR, 2012)

On building a reusable Twitter corpus. - Richard McCreadie; Ian Soboroff; Jimmy Lin; Craig Macdonald; Iadh Ounis; Dean McCullough (SIGIR, 2012)

University of Glasgow at TREC 2012: Experiments with Terrier in Medical Records, Microblog, and Web Tracks. - Nut Limsopatham; Richard McCreadie; M-Dyaa Albakour; Craig Macdonald; Rodrygo L. T. Santos; Iadh Ounis (TREC, 2012)

Overview of the TREC-2012 Microblog Track. - Ian Soboroff; Iadh Ounis; Craig Macdonald; Jimmy Lin (TREC, 2012)

2nd international workshop on diversity in document retrieval (DDR 2012). - Craig Macdonald; Jun Wang 012; Charles L. A. Clarke (WSDM, 2012)

Multimedia search over integrated social and sensor networks. - John Soldatos 001; Moez Draief; Craig Macdonald; Iadh Ounis (WWW (Companion Volume), 2012)

Information Retrieval on the Blogosphere. - Rodrygo L. T. Santos; Craig Macdonald; Richard McCreadie; Iadh Ounis; Ian Soboroff (Found. Trends Inf. Retr., 2012)

MapReduce indexing strategies: Studying scalability and efficiency. - Richard McCreadie; Craig Macdonald; Iadh Ounis (Inf. Process. Manag., 2012)

On the role of novelty for search result diversification. - Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (Inf. Retr., 2012)

Scalable distributed event detection for Twitter. - Richard McCreadie; Craig Macdonald; Iadh Ounis; Miles Osborne; Sasa Petrovic (IEEE BigData, 2013)

On sparsity and drift for effective real-time filtering in microblogs. - M-Dyaa Albakour; Craig Macdonald; Iadh Ounis (CIKM, 2013)

Load-sensitive selective pruning for distributed search. - Daniele Broccolo; Craig Macdonald; Salvatore Orlando 001; Iadh Ounis; Raffaele Perego 001; Fabrizio Silvestri; Nicola Tonellotto (CIKM, 2013)

Using historical click data to increase interleaving sensitivity. - Eugene Kharitonov; Craig Macdonald; Pavel Serdyukov; Iadh Ounis (CIKM, 2013)

Intent models for contextualising and diversifying query suggestions. - Eugene Kharitonov; Craig Macdonald; Pavel Serdyukov; Iadh Ounis (CIKM, 2013)

Learning to handle negated language in medical records search. - Nut Limsopatham; Craig Macdonald; Iadh Ounis (CIKM, 2013)

Learning to selectively rank patients' medical history. - Nut Limsopatham; Craig Macdonald; Iadh Ounis (CIKM, 2013)

University of Glasgow at CLEF 2013: Experiments in eHealth Task 3 with Terrier. - Nut Limsopatham; Craig Macdonald; Iadh Ounis (CLEF (Working Notes), 2013)

Hybrid Query Scheduling for a Replicated Search Engine. - Ana Freire; Craig Macdonald; Nicola Tonellotto; Iadh Ounis; Fidel Cacheda (ECIR, 2013)

Aggregating Evidence from Hospital Departments to Improve Medical Records Search. - Nut Limsopatham; Craig Macdonald; Iadh Ounis (ECIR, 2013)

A Task-Specific Query and Document Representation for Medical Records Search. - Nut Limsopatham; Craig Macdonald; Iadh Ounis (ECIR, 2013)

Can Twitter Replace Newswire for Breaking News? - Sasa Petrovic; Miles Osborne; Richard McCreadie; Craig Macdonald; Iadh Ounis; Luke Shrimpton (ICWSM, 2013)

Identifying local events by using microblogs as social sensors. - M-Dyaa Albakour; Craig Macdonald; Iadh Ounis (OAIR, 2013)

Inferring conceptual relationships to improve medical records search. - Nut Limsopatham; Craig Macdonald; Iadh Ounis (OAIR, 2013)

Relevance in microblogs: enhancing tweet retrieval using hyperlinked documents. - Richard McCreadie; Craig Macdonald (OAIR, 2013)

Selecting effective expansion terms for diversity. - Saul Vargas; Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (OAIR, 2013)

User model-based metrics for offline query suggestion evaluation. - Eugene Kharitonov; Craig Macdonald; Pavel Serdyukov; Iadh Ounis (SIGIR, 2013)

Learning to combine representations for medical records search. - Nut Limsopatham; Craig Macdonald; Iadh Ounis (SIGIR, 2013)

News vertical search: when and what to display to users. - Richard McCreadie; Craig Macdonald; Iadh Ounis (SIGIR, 2013)

Query Processing in Highly-Loaded Search Engines. - Daniele Broccolo; Craig Macdonald; Salvatore Orlando 001; Iadh Ounis; Raffaele Perego 001; Fabrizio Silvestri; Nicola Tonellotto (SPIRE, 2013)

University of Glasgow at TREC 2013: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Web Tracks. - Richard McCreadie; M-Dyaa Albakour; Stuart Mackie; Nut Limsopatham; Craig Macdonald; Iadh Ounis; Bekir Taner Dinçer (TREC, 2013)

Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2013). - Nicola Tonellotto; Craig Macdonald; Ismail Sengör Altingövde (WSDM, 2013)

Efficient and effective retrieval using selective pruning. - Nicola Tonellotto; Craig Macdonald; Iadh Ounis (WSDM, 2013)

The whens and hows of learning to rank for web search. - Craig Macdonald; Rodrygo L. T. Santos; Iadh Ounis (Inf. Retr., 2013)

Identifying top news using crowdsourcing. - Richard McCreadie; Craig Macdonald; Iadh Ounis (Inf. Retr., 2013)

Introduction to the special issue on search intents and diversification. - Tetsuya Sakai; Noriko Kando; Craig Macdonald; Ian Soboroff (Inf. Retr., 2013)

Learning to rank query suggestions for adhoc and diversity search. - Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (Inf. Retr., 2013)

Modelling efficient novelty-based search result diversification in metric spaces. - Veronica Gil-Costa; Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (J. Discrete Algorithms, 2013)

About learning models with multiple query-dependent features. - Craig Macdonald; Rodrygo L. T. Santos; Iadh Ounis; Ben He (ACM Trans. Inf. Syst., 2013)

Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media. - Miles Osborne; Sean Moran; Richard McCreadie; Alexander von Lünen; Martin D. Sykora; Amparo Elizabeth Cano; Neil Ireson; Craig Macdonald; Iadh Ounis; Yulan He 001; Tom Jackson 001; Fabio Ciravegna; et al. (ACL (System Demonstrations), 2014)

SmartVenues: Recommending Popular and Personalised Venues in a City. - Romain Deveaud; M-Dyaa Albakour; Jarana Manotumruksa; Craig Macdonald; Iadh Ounis (CIKM, 2014)

On the Importance of Venue-Dependent Features for Learning to Rank Contextual Suggestions. - Romain Deveaud; M-Dyaa Albakour; Craig Macdonald; Iadh Ounis (CIKM, 2014)

Modelling Relevance towards Multiple Inclusion Criteria when Ranking Patients. - Nut Limsopatham; Craig Macdonald; Iadh Ounis (CIKM, 2014)

Incremental Update Summarization: Adaptive Sentence Selection based on Prevalence and Novelty. - Richard McCreadie; Craig Macdonald; Iadh Ounis (CIKM, 2014)

Comparing Algorithms for Microblog Summarisation. - Stuart Mackie; Richard McCreadie; Craig Macdonald; Iadh Ounis (CLEF, 2014)

A Study of Personalised Medical Literature Search. - Richard McCreadie; Craig Macdonald; Iadh Ounis; Jon Brassey (CLEF, 2014)

University of Glasgow Terrier Team / Project Abacá at RepLab 2014: Reputation Dimensions Task. - Graham McDonald; Romain Deveaud; Richard McCreadie; Timothy Gollins; Craig Macdonald; Iadh Ounis (CLEF (Working Notes), 2014)

Information Access in Smart Cities (i-ASC). - M-Dyaa Albakour; Craig Macdonald; Iadh Ounis; Charles L. A. Clarke; Veli Bicer (ECIR, 2014)

On Inverted Index Compression for Search Engine Efficiency. - Matteo Catena; Craig Macdonald; Iadh Ounis (ECIR, 2014)

Tackling Biased Baselines in the Risk-Sensitive Evaluation of Retrieval Systems. - Bekir Taner Dinçer; Iadh Ounis; Craig Macdonald (ECIR, 2014)

Towards a Classifier for Digital Sensitivity Review. - Graham McDonald; Craig Macdonald; Iadh Ounis; Timothy Gollins (ECIR, 2014)

Diversifying contextual suggestions from location-based social networks. - M-Dyaa Albakour; Romain Deveaud; Craig Macdonald; Iadh Ounis (IIiX, 2014)

On choosing an effective automatic evaluation metric for microblog summarisation. - Stuart Mackie; Richard McCreadie; Craig Macdonald; Iadh Ounis (IIiX, 2014)

Hypothesis testing for the risk-sensitive evaluation of retrieval systems. - Bekir Taner Dinçer; Craig Macdonald; Iadh Ounis (SIGIR, 2014)

On Using Information Retrieval for the Selection and Sensitivity Review of Digital Public Records. - Timothy Gollins; Graham McDonald; Craig Macdonald; Iadh Ounis (PIR@SIGIR, 2014)

TREC 2014 Web Track Overview. - Kevyn Collins-Thompson; Craig Macdonald; Paul N. Bennett; Fernando Diaz 001; Ellen M. Voorhees (TREC, 2014)

University of Glasgow at TREC 2014: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Web Tracks. - Richard McCreadie; Romain Deveaud; M-Dyaa Albakour; Stuart Mackie; Nut Limsopatham; Craig Macdonald; Iadh Ounis; Thibaut Thonet; Bekir Taner Dinçer (TREC, 2014)

Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2014). - Ismail Sengör Altingövde; Berkant Barla Cambazoglu; Craig Macdonald; Nicola Tonellotto (WSDM, 2014)

A self-adapting latency/power tradeoff model for replicated search engines. - Ana Freire; Craig Macdonald; Nicola Tonellotto; Iadh Ounis; Fidel Cacheda (WSDM, 2014)

Report on the 1st International Workshop on Information Access in Smart Cities (i-ASC 2014). - M-Dyaa Albakour; Craig Macdonald; Iadh Ounis; Charles L. A. Clarke; Veli Bicer (SIGIR Forum, 2014)

Semi-Automated Text Classification for Sensitivity Identification. - Giacomo Berardi; Andrea Esuli; Craig Macdonald; Iadh Ounis; Fabrizio Sebastiani 001 (CIKM, 2015)

Experiments with a Venue-Centric Model for Personalisedand Time-Aware Venue Suggestion. - Romain Deveaud; M-Dyaa Albakour; Craig Macdonald; Iadh Ounis (CIKM, 2015)

Generalized Team Draft Interleaving. - Eugene Kharitonov; Craig Macdonald; Pavel Serdyukov; Iadh Ounis (CIKM, 2015)

Modelling the Usefulness of Document Collections for Query Expansion in Patient Search. - Nut Limsopatham; Craig Macdonald; Iadh Ounis (CIKM, 2015)

UCUI'15: The 1st International Workshop on Understanding the City with Urban Informatics. - Yashar Moshfeghi; Iadh Ounis; Craig Macdonald; Joemon M. Jose; Peter Triantafillou; Mark Livingston; Piyushimita Thakuriah (CIKM, 2015)

Suggestion contextuelle composite. - Thibaut Thonet; Romain Deveaud; Iadh Ounis; Craig Macdonald (CORIA, 2015)

Constructing Sailing Match Race Schedules: Round-Robin Pairing Lists. - Craig Macdonald; Ciaran McCreesh; Alice Miller 001; Patrick Prosser (CP, 2015)

Transferring Learning To Rank Models for Web Search. - Craig Macdonald; Bekir Taner Dinçer; Iadh Ounis (ICTIR, 2015)

Using Part-of-Speech N-grams for Sensitive-Text Classification. - Graham McDonald; Craig Macdonald; Iadh Ounis (ICTIR, 2015)

Tweet Enrichment for Effective Dimensions Classification in Online Reputation Management. - Graham McDonald; Romain Deveaud; Richard McCreadie; Craig Macdonald; Iadh Ounis (ICWSM, 2015)

Analysing Compression Techniques for In-Memory Collaborative Filtering. - Saúl Vargas; Craig Macdonald; Iadh Ounis (RecSys Posters, 2015)

Using Sensor Metadata Streams to Identify Topics of Local Events in the City. - M-Dyaa Albakour; Craig Macdonald; Iadh Ounis (SIGIR, 2015)

Load-sensitive CPU Power Management for Web Search Engines. - Matteo Catena; Craig Macdonald; Nicola Tonellotto (SIGIR, 2015)

Topic-centric Classification of Twitter User's Political Orientation. - Anjie Fang; Iadh Ounis; Philip Habel; Craig Macdonald; Nut Limsopatham (SIGIR, 2015)

Optimised Scheduling of Online Experiments. - Eugene Kharitonov; Craig Macdonald; Pavel Serdyukov; Iadh Ounis (SIGIR, 2015)

Sequential Testing for Early Stopping of Online Experiments. - Eugene Kharitonov; Aleksandr Vorobev; Craig Macdonald; Pavel Serdyukov; Iadh Ounis (SIGIR, 2015)

Comparing Approaches for Query Autocompletion. - Giovanni Di Santo; Richard McCreadie; Craig Macdonald; Iadh Ounis (SIGIR, 2015)

University of Glasgow at TREC 2015: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Dynamic Domain Tracks. - Richard McCreadie; Saul Vargas; Craig MacDonald; Iadh Ounis; Stuart Mackie; Jarana Manotumruksa; Graham McDonald (TREC, 2015)

SUPER: Towards the use of Social Sensors for Security Assessments and Proactive Management of Emergencies. - Richard McCreadie; Karolin Kappler; Andreas Kaltenbrunner; Magdalini Kardara; Craig Macdonald; John Soldatos 001; Iadh Ounis (WWW (Companion Volume), 2015)

Crowdsourced Rumour Identification During Emergencies. - Richard McCreadie; Craig Macdonald; Iadh Ounis (WWW (Companion Volume), 2015)

Search Result Diversification. - Rodrygo L. T. Santos; Craig MacDonald; Iadh Ounis (Found. Trends Inf. Retr., 2015)

Queuing Theory-based Latency/Power Tradeoff Models for Replicated Search Engines. - Ana Freire; Craig Macdonald; Nicola Tonellotto; Iadh Ounis; Fidel Cacheda (J. Univers. Comput. Sci., 2015)

Regularising Factorised Models for Venue Recommendation using Friends and their Comments. - Jarana Manotumruksa; Craig MacDonald; Iadh Ounis (CIKM, 2016)

Predicting Contextually Appropriate Venues in Location-Based Social Networks. - Jarana Manotumruksa; Craig MacDonald; Iadh Ounis (CLEF, 2016)

Topics in Tweets: A User Study of Topic Coherence Metrics for Twitter Data. - Anjie Fang; Craig Macdonald; Iadh Ounis; Philip Habel (ECIR, 2016)

Toward Reproducible Baselines: The Open-Source IR Reproducibility Challenge. - Jimmy Lin; Matt Crane; Andrew Trotman; Jamie Callan; Ishan Chattopadhyaya; John Foley; Grant Ingersoll; Craig MacDonald; Sebastiano Vigna (ECIR, 2016)

Experiments in Newswire Summarisation. - Stuart Mackie; Richard McCreadie; Craig Macdonald; Iadh Ounis (ECIR, 2016)

Comparing Overall and Targeted Sentiments in Social Media during Crises. - Saul Vargas; Richard McCreadie; Craig MacDonald; Iadh Ounis (ICWSM, 2016)

Risk-Sensitive Evaluation and Learning to Rank using Multiple Baselines. - Bekir Taner Dinçer; Craig Macdonald; Iadh Ounis (SIGIR, 2016)

Examining the Coherence of the Top Ranked Tweet Topics. - Anjie Fang; Craig Macdonald; Iadh Ounis; Philip Habel (SIGIR, 2016)

Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data. - Anjie Fang; Craig Macdonald; Iadh Ounis; Philip Habel (SIGIR, 2016)

EAIMS: Emergency Analysis Identification and Management System. - Richard McCreadie; Craig Macdonald; Iadh Ounis (SIGIR, 2016)

Enhancing First Story Detection using Word Embeddings. - Sean Moran; Richard McCreadie; Craig Macdonald; Iadh Ounis (SIGIR, 2016)

University of Glasgow Terrier Team at TREC 2016: Experiments in Contextual Suggestions. - Jarana Manotumruksa; Craig MacDonald; Iadh Ounis (TREC, 2016)

Modelling User Preferences using Word Embeddings for Context-Aware Venue Recommendation. - Jarana Manotumruksa; Craig MacDonald; Iadh Ounis (CoRR, 2016)

Emergency Identification and Analysis with EAIMS. - Richard McCreadie; Craig MacDonald; Iadh Ounis (CoRR, 2016)

Exploring Social Media for Event Attendance. - Vinicius Monteiro de Lira; Craig Macdonald; Iadh Ounis; Raffaele Perego 001; Chiara Renso; Valéria Cesário Times (ASONAM, 2017)

Analyzing Disproportionate Reaction via Comparative Multilingual Targeted Sentiment in Twitter. - Karin Sim Smith; Richard McCreadie; Craig Macdonald; Iadh Ounis (ASONAM, 2017)

Transfer Learning for Multi-language Twitter Election Classification. - Xiao Yang 004; Richard McCreadie; Craig Macdonald; Iadh Ounis (ASONAM, 2017)

A Deep Recurrent Collaborative Filtering Framework for Venue Recommendation. - Jarana Manotumruksa; Craig Macdonald; Iadh Ounis (CIKM, 2017)

A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation. - Jarana Manotumruksa; Craig Macdonald; Iadh Ounis (CIKM, 2017)

Exploring Time-Sensitive Variational Bayesian Inference LDA for Social Media Data. - Anjie Fang; Craig Macdonald; Iadh Ounis; Philip Habel; Xiao Yang 004 (ECIR, 2017)

Matrix Factorisation with Word Embeddings for Rating Prediction on Location-Based Social Networks. - Jarana Manotumruksa; Craig Macdonald; Iadh Ounis (ECIR, 2017)

Enhancing Sensitivity Classification with Semantic Features Using Word Embeddings. - Graham McDonald; Craig Macdonald; Iadh Ounis (ECIR, 2017)

On the Additivity and Weak Baselines for Search Result Diversification Research. - Mehmet Akcay; Ismail Sengor Altingovde; Craig Macdonald; Iadh Ounis (ICTIR, 2017)

Upper Bound Approximation for BlockMaxWand. - Craig Macdonald; Nicola Tonellotto (ICTIR, 2017)

Efficient & Effective Selective Query Rewriting with Efficiency Predictions. - Craig MacDonald; Nicola Tonellotto; Iadh Ounis (SIGIR, 2017)

A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences. - Graham McDonald; Nicolás García-Pedrajas; Craig Macdonald; Iadh Ounis (SIGIR, 2017)

Inferring Conceptual Relationships When Ranking Patients. - Nut Limsopatham; Craig MacDonald; Iadh Ounis (CoRR, 2017)

Report on the Information Retrieval Festival (IRFest2017). - Leif Azzopardi; Craig Macdonald; Iadh Ounis; Martin Halvey (SIGIR Forum, 2017)

BigDataStack: A Holistic Data-Driven Stack for Big Data Applications and Operations. - Dimosthenis Kyriazis; Christos Doulkeridis; Panagiotis Gouvas; Ricardo Jiménez-Peris; Ana Juan Ferrer; Leonidas Kallipolitis; Pavlos Kranas; George Kousiouris; Craig Macdonald; Richard McCreadie; Yosef Moatti; Apostolos Papageorgiou; et al. (BigData Congress, 2018)

An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter. - Anjie Fang; Iadh Ounis; Craig MacDonald; Philip Habel; Xiaoyu Xiong; Haitao Yu 003 (CIKM, 2018)

Learning to Geolocalise Tweets at a Fine-Grained Level. - Jorge David Gonzalez Paule; Yashar Moshfeghi; Craig Macdonald; Iadh Ounis (CIKM, 2018)

Agile Information Retrieval Experimentation with Terrier Notebooks. - Craig Macdonald; Richard McCreadie; Iadh Ounis (DESIRES, 2018)

On the Cost of Negation for Dynamic Pruning. - Joel M. Mackenzie; Craig Macdonald; Falk Scholer; J. Shane Culpepper (ECIR, 2018)

Active Learning Strategies for Technology Assisted Sensitivity Review. - Graham McDonald; Craig Macdonald; Iadh Ounis (ECIR, 2018)

Towards Maximising Openness in Digital Sensitivity Review Using Reviewing Time Predictions. - Graham McDonald; Craig Macdonald; Iadh Ounis (ECIR, 2018)

On Refining Twitter Lists as Ground Truth Data for Multi-community User Classification. - Ting Su 003; Anjie Fang; Richard McCreadie; Craig Macdonald; Iadh Ounis (ECIR, 2018)

On the Reproducibility and Generalisation of the Linear Transformation of Word Embeddings. - Xiao Yang 004; Iadh Ounis; Richard McCreadie; Craig Macdonald; Anjie Fang (ECIR, 2018)

Combining Terrier with Apache Spark to create Agile Experimental Information Retrieval Pipelines. - Craig Macdonald (SIGIR, 2018)

A Contextual Attention Recurrent Architecture for Context-Aware Venue Recommendation. - Jarana Manotumruksa; Craig Macdonald; Iadh Ounis (SIGIR, 2018)

Automatic Ground Truth Expansion for Timeline Evaluation. - Richard McCreadie; Craig Macdonald; Iadh Ounis (SIGIR, 2018)

Efficient Query Processing Infrastructures: A half-day tutorial at SIGIR 2018. - Nicola Tonellotto; Craig Macdonald (SIGIR, 2018)

Efficient Query Processing for Scalable Web Search. - Nicola Tonellotto; Craig Macdonald; Iadh Ounis (Found. Trends Inf. Retr., 2018)

Using word embeddings in Twitter election classification. - Xiao Yang 004; Craig Macdonald; Iadh Ounis (Inf. Retr. J., 2018)

Regional Sentiment Bias in Social Media Reporting During Crises. - Karin Sim Smith; Richard McCreadie; Craig MacDonald; Iadh Ounis (Inf. Syst. Frontiers, 2018)

Explicit Diversification of Event Aspects for Temporal Summarization. - Richard McCreadie; Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (ACM Trans. Inf. Syst., 2018)

WEB Information Retrieval Models. - Craig MacDonald; Iadh Ounis (Encyclopedia of Database Systems (2nd ed.), 2018)

How Sensitivity Classification Effectiveness Impacts Reviewers in Technology-Assisted Sensitivity Review. - Graham McDonald; Craig Macdonald; Iadh Ounis (CHIIR, 2019)

Entity Detection for Check-worthiness Prediction: Glasgow Terrier at CLEF CheckThat! 2019. - Ting Su 003; Craig Macdonald; Iadh Ounis (CLEF (Working Notes), 2019)

On Cross-Domain Transfer in Venue Recommendation. - Jarana Manotumruksa; Dimitrios Rafailidis; Craig Macdonald; Iadh Ounis (ECIR (1), 2019)

Evaluating Similarity Metrics for Latent Twitter Topics. - Xi Wang 012; Anjie Fang; Iadh Ounis; Craig Macdonald (ECIR (1), 2019)

Comparison of Sentiment Analysis and User Ratings in Venue Recommendation. - Xi Wang 012; Iadh Ounis; Craig Macdonald (ECIR (1), 2019)

Social Regularisation in a BPR-based Venue Recommendation System. - Siwei Liu 001; Iadh Ounis; Craig Macdonald (FDIA@ESSIR, 2019)

Unifying Explicit and Implicit Feedback for Rating Prediction and Ranking Recommendation Tasks. - Amir Hossein Jadidinejad; Craig MacDonald; Iadh Ounis (ICTIR, 2019)

Dockerising Terrier for The Open-Source IR Replicability Challenge (OSIRRC 2019). - Arthur Barbosa Câmara; Craig Macdonald (OSIRRC@SIGIR, 2019)

Ensembles of Recurrent Networks for Classifying the Relationship of Fake News Titles. - Ting Su 003; Craig Macdonald; Iadh Ounis (SIGIR, 2019)

University of Glasgow Terrier Team and Naver Labs Europe at TREC 2019 Fair Ranking Track. - Graham McDonald; Iadh Ounis; Craig Macdonald; Thibaut Thonet; Jean-Michel Renders (TREC, 2019)

University of Glasgow Terrier Team at the TREC 2019 Deep Learning Track. - Ting Su 003; Xi Wang 012; Craig Macdonald; Iadh Ounis (TREC, 2019)

The FACTS of Technology-Assisted Sensitivity Review. - Graham McDonald; Craig Macdonald; Iadh Ounis (CoRR, 2019)

Variational Bayesian Context-aware Representation for Grocery Recommendation. - Zaiqiao Meng; Richard McCreadie; Craig Macdonald; Iadh Ounis (CoRR, 2019)

Event attendance classification in social media. - Vinicius Monteiro de Lira; Craig Macdonald; Iadh Ounis; Raffaele Perego 001; Chiara Renso; Valéria Cesário Times (Inf. Process. Manag., 2019)

On enhancing the robustness of timeline summarization test collections. - Richard McCreadie; Shahzad Rajput; Ian Soboroff; Craig Macdonald; Iadh Ounis (Inf. Process. Manag., 2019)

Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification. - Xi Wang 012; Iadh Ounis; Craig MacDonald (CIKM, 2020)

Axiomatic Analysis of Contact Recommendation Methods in Social Networks: An IR Perspective. - Javier Sanz-Cruzado; Craig Macdonald; Iadh Ounis; Pablo Castells (ECIR (1), 2020)

Declarative Experimentation in Information Retrieval using PyTerrier. - Craig Macdonald; Nicola Tonellotto (ICTIR, 2020)

A Hybrid Conditional Variational Autoencoder Model for Personalised Top-n Recommendation. - Yaxiong Wu 001; Craig Macdonald; Iadh Ounis (ICTIR, 2020)

Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. - Zaiqiao Meng; Richard McCreadie; Craig Macdonald; Iadh Ounis (RecSys, 2020)

BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. - Zaiqiao Meng; Richard McCreadie; Craig Macdonald; Iadh Ounis; Siwei Liu 001; Yaxiong Wu 001; Xi Wang 012; Shangsong Liang; Yucheng Liang; Guangtao Zeng; Junhua Liang; Qiang Zhang 026 (RecSys, 2020)

Using Exploration to Alleviate Closed Loop Effects in Recommender Systems. - Amir Hossein Jadidinejad; Craig Macdonald; Iadh Ounis (SIGIR, 2020)

Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format. - Jimmy Lin; Joel M. Mackenzie; Chris Kamphuis; Craig Macdonald; Antonio Mallia; Michal Siedlaczek; Andrew Trotman; Arjen P. de Vries (SIGIR, 2020)

A Heterogeneous Graph Neural Model for Cold-start Recommendation. - Siwei Liu 001; Iadh Ounis; Craig Macdonald; Zaiqiao Meng (SIGIR, 2020)

Active Learning Stopping Strategies for Technology-Assisted Sensitivity Review. - Graham McDonald; Craig Macdonald; Iadh Ounis (SIGIR, 2020)

University of Glasgow Terrier Team and UFMG at the TREC 2020 Precision Medicine Track. - Alberto Ueda; Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (TREC, 2020)

University of Glasgow Terrier Team at the TREC 2020 Deep Learning Track. - Xiao Wang 043; Yaxiong Wu 001; Xi Wang 012; Craig Macdonald; Iadh Ounis (TREC, 2020)

Deep Reinforced Query Reformulation for Information Retrieval. - Xiao Wang 043; Craig Macdonald; Iadh Ounis (CoRR, 2020)

A Contextual Recurrent Collaborative Filtering framework for modelling sequences of venue checkins. - Jarana Manotumruksa; Craig Macdonald; Iadh Ounis (Inf. Process. Manag., 2020)

Effective contact recommendation in social networks by adaptation of information retrieval models. - Javier Sanz-Cruzado; Pablo Castells; Craig Macdonald; Iadh Ounis (Inf. Process. Manag., 2020)

Supervised approaches for explicit search result diversification. - Sevgi Yigit-Sert; Ismail Sengor Altingovde; Craig Macdonald; Iadh Ounis; Özgür Ulusoy (Inf. Process. Manag., 2020)

How the Accuracy and Confidence of Sensitivity Classification Affects Digital Sensitivity Review. - Graham McDonald; Craig Macdonald; Iadh Ounis (ACM Trans. Inf. Syst., 2020)

Using an Inverted Index Synopsis for Query Latency and Performance Prediction. - Nicola Tonellotto; Craig Macdonald (ACM Trans. Inf. Syst., 2020)

On Approximate Nearest Neighbour Selection for Multi-Stage Dense Retrieval. - Craig Macdonald; Nicola Tonellotto (CIKM, 2021)

IR From Bag-of-words to BERT and Beyond through Practical Experiments. - Craig Macdonald; Nicola Tonellotto; Sean MacAvaney (CIKM, 2021)

PyTerrier: Declarative Experimentation in Python from BM25 to Dense Retrieval. - Craig Macdonald; Nicola Tonellotto; Sean MacAvaney; Iadh Ounis (CIKM, 2021)

Query Embedding Pruning for Dense Retrieval. - Nicola Tonellotto; Craig Macdonald (CIKM, 2021)

Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval. - Xiao Wang 043; Craig Macdonald; Nicola Tonellotto; Iadh Ounis (ICTIR, 2021)

On Single and Multiple Representations in Dense Passage Retrieval. - Craig Macdonald; Nicola Tonellotto; Iadh Ounis (IIR, 2021)

Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation. - Yaxiong Wu 001; Craig Macdonald; Iadh Ounis (RecSys, 2021)

Structured Fine-Tuning of Contextual Embeddings for Effective Biomedical Retrieval. - Alberto Ueda; Rodrygo L. T. Santos; Craig Macdonald; Iadh Ounis (SIGIR, 2021)

Leveraging Review Properties for Effective Recommendation. - Xi Wang 012; Iadh Ounis; Craig Macdonald (WWW, 2021)

Graph Neural Pre-training for Enhancing Recommendations using Side Information. - Zaiqiao Meng; Siwei Liu 001; Craig Macdonald; Iadh Ounis (CoRR, 2021)

IntenT5: Search Result Diversification using Causal Language Models. - Sean MacAvaney; Craig Macdonald; Roderick Murray-Smith; Iadh Ounis (CoRR, 2021)

Variational Bayesian representation learning for grocery recommendation. - Zaiqiao Meng; Richard McCreadie; Craig Macdonald; Iadh Ounis (Inf. Retr. J., 2021)

Explicit diversification of search results across multiple dimensions for educational search. - Sevgi Yigit-Sert; Ismail Sengor Altingovde; Craig Macdonald; Iadh Ounis; Özgür Ulusoy (J. Assoc. Inf. Sci. Technol., 2021)

Leveraging Data-Driven Infrastructure Management to Facilitate AIOps for Big Data Applications and Operations. - Richard McCreadie; John Soldatos 001; Jonathan Fürst; Mauricio Fadel Argerich; George Kousiouris; Jean-Didier Totow; Antonio Castillo Nieto; Bernat Quesada Navidad; Dimosthenis Kyriazis; Craig Macdonald; Iadh Ounis (Technologies and Applications for Big Data Value, 2022)

Adaptive Re-Ranking with a Corpus Graph. - Sean MacAvaney; Nicola Tonellotto; Craig Macdonald (CIKM, 2022)

Adaptive Re-Ranking as an Information-Seeking Agent. - Sean MacAvaney; Nicola Tonellotto; Craig Macdonald (CIKM Workshops, 2022)

Using Entities in Knowledge Graph Hierarchies to Classify Sensitive Information. - Erlend Frayling; Craig Macdonald; Graham McDonald; Iadh Ounis (CLEF, 2022)

Multimodal Conversational Fashion Recommendation with Positive and Negative Natural-Language Feedback. - Yaxiong Wu 001; Craig Macdonald; Iadh Ounis (CUI, 2022)

Reproducing Personalised Session Search Over the AOL Query Log. - Sean MacAvaney; Craig Macdonald; Iadh Ounis (ECIR (1), 2022)

Streamlining Evaluation with ir-measures. - Sean MacAvaney; Craig Macdonald; Iadh Ounis (ECIR (2), 2022)

Effective Rating Prediction Using an Attention-Based User Review Sentiment Model. - Xi Wang 012; Iadh Ounis; Craig Macdonald (ECIR (1), 2022)

monoQA: Multi-Task Learning of Reranking and Answer Extraction for Open-Retrieval Conversational Question Answering. - Sarawoot Kongyoung; Craig Macdonald; Iadh Ounis (EMNLP, 2022)

Multi-Modal Dialog State Tracking for Interactive Fashion Recommendation. - Yaxiong Wu 001; Craig Macdonald; Iadh Ounis (RecSys, 2022)

Effective and Efficient Training for Sequential Recommendation using Recency Sampling. - Aleksandr V. Petrov; Craig Macdonald (RecSys, 2022)

A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation. - Aleksandr V. Petrov; Craig Macdonald (RecSys, 2022)

Performance Predictors for Conversational Fashion Recommendation. - Maria Vlachou; Craig Macdonald (KaRS@RecSys, 2022)

An MLP-based Algorithm for Efficient Contrastive Graph Recommendations. - Siwei Liu 001; Iadh Ounis; Craig Macdonald (SIGIR, 2022)

A Python Interface to PISA! - Sean MacAvaney; Craig Macdonald (SIGIR, 2022)

An Inspection of the Reproducibility and Replicability of TCT-ColBERT. - Xiao Wang 043; Sean MacAvaney; Craig Macdonald; Iadh Ounis (SIGIR, 2022)

Multi-modal Graph Contrastive Learning for Micro-video Recommendation. - Zixuan Yi; Xi Wang 012; Iadh Ounis; Craig MacDonald (SIGIR, 2022)

University of Glasgow Terrier Team at the TREC 2022 Conversational Assistance Track. - Sarawoot Kongyoung; Craig Macdonald; Iadh Ounis (TREC, 2022)

Experiments with Adaptive ReRanking and ColBERT-PRF: University of Glasgow Terrier Team at TREC DL 2022. - Xiao Wang 043; Sean MacAvaney; Craig Macdonald; Iadh Ounis (TREC, 2022)

Leveraging Users' Social Network Embeddings for Fake News Detection on Twitter. - Ting Su 003; Craig Macdonald; Iadh Ounis (CoRR, 2022)

Entity-Assisted Language Models for Identifying Check-worthy Sentences. - Ting Su 003; Craig Macdonald; Iadh Ounis (CoRR, 2022)

Improving zero-shot retrieval using dense external expansion. - Xiao Wang 043; Craig Macdonald; Iadh Ounis (Inf. Process. Manag., 2022)

Search results diversification for effective fair ranking in academic search. - Graham McDonald; Craig Macdonald; Iadh Ounis (Inf. Retr. J., 2022)

The Simpson's Paradox in the Offline Evaluation of Recommendation Systems. - Amir Hossein Jadidinejad; Craig Macdonald; Iadh Ounis (ACM Trans. Inf. Syst., 2022)

BanditProp: Bandit Selection of Review Properties for Effective Recommendation. - Xi Wang 012; Iadh Ounis; Craig Macdonald (ACM Trans. Web, 2022)

Report on the 13th Conference and Labs of the Evaluation Forum (CLEF 2022): Experimental IR Meets Multilinguality, Multimodality, and Interaction. - Alberto Barrón-Cedeño; Giovanni Da San Martino; Mirko Degli Esposti; Guglielmo Faggioli; Nicola Ferro 001; Allan Hanbury; Craig Macdonald; Gabriella Pasi; Martin Potthast; Fabrizio Sebastiani 001 (SIGIR Forum, 2022)

Effective Contrastive Weighting for Dense Query Expansion. - Xiao Wang 043; Sean MacAvaney; Craig Macdonald; Iadh Ounis (ACL (1), 2023)

KGPR: Knowledge Graph Enhanced Passage Ranking. - Jinyuan Fang; Zaiqiao Meng; Craig Macdonald (CIKM, 2023)

Static Pruning for Multi-Representation Dense Retrieval. - Antonio Acquavia; Craig Macdonald; Nicola Tonellotto (DocEng, 2023)

Doc2Query-: When Less is More. - Mitko Gospodinov; Sean MacAvaney; Craig Macdonald (ECIR (2), 2023)

Graph Contrastive Learning with Positional Representation for Recommendation. - Zixuan Yi; Iadh Ounis; Craig Macdonald (ECIR (2), 2023)

Multi-Task Learning of Query Generation and Classification for Generative Conversational Question Rewriting. - Sarawoot Kongyoung; Craig MacDonald; Iadh Ounis (EMNLP (Findings), 2023)

Goal-Oriented Multi-Modal Interactive Recommendation with Verbal and Non-Verbal Relevance Feedback. - Yaxiong Wu 001; Craig Macdonald; Iadh Ounis (RecSys, 2023)

gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling. - Aleksandr Vladimirovich Petrov; Craig MacDonald (RecSys, 2023)

Unsupervised Query Performance Prediction for Neural Models with Pairwise Rank Preferences. - Ashutosh Singh; Debasis Ganguly; Suchana Datta; Craig MacDonald (SIGIR, 2023)

Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col. - Xiao Wang 043; Craig Macdonald; Nicola Tonellotto; Iadh Ounis (SIGIR, 2023)

Generative Sequential Recommendation with GPTRec. - Aleksandr V. Petrov; Craig Macdonald (CoRR, 2023)

Generative Query Reformulation for Effective Adhoc Search. - Xiao Wang 043; Sean MacAvaney; Craig Macdonald; Iadh Ounis (CoRR, 2023)

On Coherence-based Predictors for Dense Query Performance Prediction. - Maria Vlachou; Craig Macdonald (CoRR, 2023)

Large Multi-modal Encoders for Recommendation. - Zixuan Yi; Zijun Long; Iadh Ounis; Craig Macdonald; Richard McCreadie (CoRR, 2023)

Graph Neural Pre-training for Recommendation with Side Information. - Siwei Liu 001; Zaiqiao Meng; Craig Macdonald; Iadh Ounis (ACM Trans. Inf. Syst., 2023)

ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval. - Xiao Wang 043; Craig MacDonald; Nicola Tonellotto; Iadh Ounis (ACM Trans. Web, 2023)

REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation. - Jinyuan Fang; Zaiqiao Meng; Craig MacDonald (ACL (1), 2024)

Effective Adhoc Retrieval Through Traversal of a Query-Document Graph. - Erlend Frayling; Sean MacAvaney; Craig Macdonald; Iadh Ounis (ECIR (3), 2024)

Knowledge Graph Cross-View Contrastive Learning for Recommendation. - Zeyuan Meng; Iadh Ounis; Craig Macdonald; Zixuan Yi (ECIR (3), 2024)

Transformers for Sequential Recommendation. - Aleksandr V. Petrov; Craig Macdonald (ECIR (5), 2024)

Shallow Cross-Encoders for Low-Latency Retrieval. - Aleksandr V. Petrov; Sean MacAvaney; Craig Macdonald (ECIR (3), 2024)

TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation. - Jinyuan Fang; Zaiqiao Meng; Craig MacDonald (EMNLP (Findings), 2024)

Coherence-based Query Performance Measures for Dense Retrieval. - Maria Vlachou; Craig Macdonald (ICTIR, 2024)

gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling (Extended Abstract). - Aleksandr V. Petrov; Craig Macdonald (IJCAI, 2024)

Enhancing Sequential Music Recommendation with Personalized Popularity Awareness. - Davide Abbattista; Vito Walter Anelli; Tommaso Di Noia; Craig MacDonald; Aleksandr Vladimirovich Petrov (RecSys, 2024)

Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items. - Aleksandr Vladimirovich Petrov; Craig Macdonald; Nicola Tonellotto (RecSys, 2024)

Neural Passage Quality Estimation for Static Pruning. - Xuejun Chang; Debabrata Mishra; Craig Macdonald; Sean MacAvaney (SIGIR, 2024)

Bi-Objective Negative Sampling for Sensitivity-Aware Search. - Jack McKechnie; Graham McDonald; Craig Macdonald (SIGIR, 2024)

RecJPQ: Training Large-Catalogue Sequential Recommenders. - Aleksandr V. Petrov; Craig Macdonald (WSDM, 2024)

What Else Would I Like? A User Simulator using Alternatives for Improved Evaluation of Fashion Conversational Recommendation Systems. - Maria Vlachou; Craig Macdonald (CoRR, 2024)

Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement Learning. - Aleksandr V. Petrov; Craig Macdonald (CoRR, 2024)

Beyond Questions: Leveraging ColBERT for Keyphrase Search. - Jorge Gabín; Javier Parapar; Craig Macdonald (CoRR, 2024)

A Social-aware Gaussian Pre-trained model for effective cold-start recommendation. - Siwei Liu 001; Xi Wang 012; Craig Macdonald; Iadh Ounis (Inf. Process. Manag., 2024)

Contrastive Graph Prompt-tuning for Cross-domain Recommendation. - Zixuan Yi; Iadh Ounis; Craig MacDonald (ACM Trans. Inf. Syst., 2024)

Report on the 46th European Conference on Information Retrieval (ECIR 2024). - Graham McDonald; Craig Macdonald; Iadh Ounis (SIGIR Forum, 2024)

Personalised Multi-modal Interactive Recommendation with Hierarchical State Representations. - Yaxiong Wu 001; Craig Macdonald; Iadh Ounis (Trans. Recomm. Syst., 2024)

KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation. - Jinyuan Fang; Zaiqiao Meng; Craig MacDonald (ACL (1), 2025)

Context Example Selection for LLM Generated Relevance Assessments. - Jack McKechnie; Graham McDonald; Craig Macdonald (ECIR (1), 2025)

Semantically Proportioned nDCG for Explaining ColBERT's Learning Process. - Ariane Mueller; Craig Macdonald (ECIR (1), 2025)

Is Relevance Propagated from Retriever to Generator in RAG? - Fangzheng Tian; Debasis Ganguly; Craig Macdonald (ECIR (1), 2025)

Balancing Accuracy and Novelty with Sub-Item Popularity. - Chiara Mallamaci; Aleksandr V. Petrov; Alberto Carlo Maria Mancino; Vito Walter Anelli; Tommaso Di Noia; Craig Macdonald (RecSys, 2025)

Constructing and Evaluating Declarative RAG Pipelines in PyTerrier. - Craig Macdonald; Jinyuan Fang; Andrew Parry; Zaiqiao Meng (SIGIR, 2025)

Measuring Hypothesis Testing Errors in the Evaluation of Retrieval Systems. - Jack McKechnie; Graham McDonald; Craig Macdonald (SIGIR, 2025)

Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings. - Aleksandr V. Petrov; Craig Macdonald; Nicola Tonellotto (SIGIR, 2025)

RSS: Effective and Efficient Training for Sequential Recommendation Using Recency Sampling. - Aleksandr V. Petrov; Craig Macdonald (Trans. Recomm. Syst., 2025)

On Precomputation and Caching in Information Retrieval Experiments with Pipeline Architectures. - Sean MacAvaney; Craig Macdonald (CoRR, 2025)

Am I on the Right Track? What Can Predicted Query Performance Tell Us about the Search Behaviour of Agentic RAG. - Fangzheng Tian; Jinyuan Fang; Debasis Ganguly; Zaiqiao Meng; Craig Macdonald (CoRR, 2025)

Revisiting Query Variants: The Advantage of Retrieval Over Generation of Query Variants for Effective QPP. - Fangzheng Tian; Debasis Ganguly; Craig Macdonald (CoRR, 2025)

Improving Effectiveness by Reducing Overconfidence in Large Catalogue Sequential Recommendation with gBCE loss. - Aleksandr Vladimirovich Petrov; Craig Macdonald (Trans. Recomm. Syst., 2025)

Enhancing Recommender Systems: Deep Modality Alignment with Large Multi-Modal Encoders. - Zixuan Yi; Zijun Long; Iadh Ounis; Craig Macdonald; Richard McCreadie (Trans. Recomm. Syst., 2025)