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)

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

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

Leveraging user-generated content for news search. - Richard McCreadie (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)

Large-scale information retrieval experimentation with terrier. - Rodrygo L. T. Santos; Richard McCreadie; Vassilis Plachouras (CIKM, 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 TREC 2011: Experiments with Terrier in Crowdsourcing, Microblog, and Web Tracks. - Richard McCreadie; Craig Macdonald; Rodrygo L. T. Santos; Iadh Ounis (TREC, 2011)

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)

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)

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)

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)

News vertical search using user-generated content. - Richard McCreadie (2012)

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

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

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

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

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

News vertical search using user-generated content. - Richard McCreadie (SIGIR Forum, 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)

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)

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

TREC 2014 Temporal Summarization Track Overview. - Javed A. Aslam; Matthew Ekstrand-Abueg; Virgil Pavlu; Fernando Diaz 001; Richard McCreadie; Tetsuya Sakai (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)

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

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

TREC 2015 Temporal Summarization Track Overview. - Javed A. Aslam; Fernando Diaz 001; Matthew Ekstrand-Abueg; Richard McCreadie; Virgil Pavlu; Tetsuya Sakai (TREC, 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)

A Study of Realtime Summarization Metrics. - Matthew Ekstrand-Abueg; Richard McCreadie; Virgil Pavlu; Fernando Diaz 001 (CIKM, 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)

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)

Overview of the TREC 2016 Real-Time Summarization Track. - Jimmy Lin; Adam Roegiest; Luchen Tan; Richard McCreadie; Ellen M. Voorhees; Fernando Diaz 001 (TREC, 2016)

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

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 Comparison of Nuggets and Clusters for Evaluating Timeline Summaries. - Gaurav Baruah; Richard McCreadie; Jimmy Lin (CIKM, 2017)

Overview of the TREC 2017 Real-Time Summarization Track. - Jimmy Lin; Salman Mohammed; Royal Sequiera; Luchen Tan; Nimesh Ghelani; Mustafa Abualsaud; Richard McCreadie; Dmitrijs Milajevs; Ellen M. Voorhees (TREC, 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)

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

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

TREC Incident Streams: Finding Actionable Information on Social Media. - Richard McCreadie; Cody Buntain; Ian Soboroff (ISCRAM, 2019)

Event Tracker: A Text Analytics Platform for Use During Disasters. - Charles Thomas 007; Richard McCreadie; Iadh Ounis (SIGIR, 2019)

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

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

Incident Streams 2019: Actionable Insights and How to Find Them. - Richard McCreadie; Cody Buntain; Ian Soboroff (ISCRAM, 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)

Incident Streams 2020: TRECIS in the Time of COVID-19. - Cody Buntain; Richard McCreadie; Ian Soboroff (TREC, 2020)

University of Glasgow Terrier Team (uogTr) at the TREC 2020 Incident Streams Track. - Alexander J. Hepburn; Richard McCreadie (TREC, 2020)

Jointly Learning Representations of Nodes and Attributes for Attributed Networks. - Zaiqiao Meng; Shangsong Liang; Xiangliang Zhang 001; Richard McCreadie; Iadh Ounis (ACM Trans. Inf. Syst., 2020)

Automated Crisis Content Categorization for COVID-19 Tweet Streams. - Zijun Long; Richard McCreadie (ISCRAM, 2021)

University of Glasgow Terrier Team (uogTr) at the TREC 2021 Incident Streams Track. - Alexander J. Hepburn; Richard McCreadie (TREC, 2021)

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

Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions. - Alexander J. Hepburn; Richard McCreadie (ECIR (2), 2022)

Incident Streams 2021 Off the Deep End: Deeper Annotations and Evaluations in Twitter. - Cody Buntain; Richard McCreadie; Ian Soboroff (ISCRAM, 2022)

Is Multi-Modal Data Key for Crisis Content Categorization on Social Media? - Zijun Long; Richard McCreadie (ISCRAM, 2022)

Divergence-Based Domain Transferability for Zero-Shot Classification. - Alexander Pugantsov; Richard McCreadie (EACL (Findings), 2023)

CrisisFACTS 2023 - Overview Paper. - Cody Buntain; Amanda Lee Hughes; Richard McCreadie; Benjamin D. Horne; Muhammad Imran 002; Hemant Purohit (TREC, 2023)

LaCViT: A Label-aware Contrastive Training Framework for Vision Transformers. - Zijun Long; Zaiqiao Meng; Gerardo Aragon-Camarasa; Richard McCreadie (CoRR, 2023)

When hard negative sampling meets supervised contrastive learning. - Zijun Long; George Killick; Richard McCreadie; Gerardo Aragon-Camarasa; Zaiqiao Meng (CoRR, 2023)

MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval. - Zijun Long; George Killick; Richard McCreadie; Gerardo Aragon-Camarasa (CoRR, 2023)

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

Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning. - Zijun Long; George Killick; Lipeng Zhuang; Richard McCreadie; Gerardo Aragon-Camarasa; Paul Henderson (CoRR, 2023)

CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion. - Zijun Long; Lipeng Zhuang; George Killick; Zaiqiao Meng; Richard McCreadie; Gerardo Aragon-Camarasa (ECAI, 2024)

Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning. - Zijun Long; Lipeng Zhuang; George Killick; Richard McCreadie; Gerardo Aragon-Camarasa; Paul Henderson (ECCV (54), 2024)

FAR-AI: A Modular Platform for Investment Recommendation in the Financial Domain. - Javier Sanz-Cruzado; Edward Richards; Richard McCreadie (ECIR (5), 2024)

Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Variance Efficient Sampling. - Youngbin Lee; Yejin Kim; Javier Sanz-Cruzado; Richard McCreadie; Yongjae Lee (ICAIF, 2024)

Multiway-Adapter: Adapting Multimodal Large Language Models for Scalable Image-Text Retrieval. - Zijun Long; George Killick; Richard McCreadie; Gerardo Aragon-Camarasa (ICASSP, 2024)

LaCViT: A Label-Aware Contrastive Fine-Tuning Framework for Vision Transformers. - Zijun Long; Richard McCreadie; Gerardo Aragon-Camarasa; Zaiqiao Meng (ICASSP, 2024)

RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models. - Zijun Long; George Killick; Richard McCreadie; Gerardo Aragon-Camarasa (ICRA, 2024)

CFIR: Fast and Effective Long-Text To Image Retrieval for Large Corpora. - Zijun Long; Xuri Ge; Richard McCreadie; Joemon M. Jose (SIGIR, 2024)

CrisisViT: A Robust Vision Transformer for Crisis Image Classification. - Zijun Long; Richard McCreadie; Muhammad Imran 002 (CoRR, 2024)

Text2Pic Swift: Enhancing Long-Text to Image Retrieval for Large-Scale Libraries. - Zijun Long; Xuri Ge; Richard McCreadie; Joemon M. Jose (CoRR, 2024)

FAR-Trans: An Investment Dataset for Financial Asset Recommendation. - Javier Sanz-Cruzado; Nikolaos Droukas; Richard McCreadie (CoRR, 2024)

FinPersona: An LLM-Driven Conversational Agent for Personalized Financial Advising. - Takehiro Takayanagi; Masahiro Suzuki 004; Kiyoshi Izumi; Javier Sanz-Cruzado; Richard McCreadie; Iadh Ounis (ECIR (5), 2025)

Information Retrieval in Finance: Industry and Academic Perspectives on Innovation. - Chung-Chi Chen 001; Yongjae Lee; Alejandro Lopez-Lira; Chanyeol Choi; Richard McCreadie; Javier Sanz-Cruzado (SIGIR, 2025)

Diffusion Augmented Retrieval: A Training-Free Approach to Interactive Text-to-Image Retrieval. - Zijun Long; Kangheng Liang; Gerardo Aragon-Camarasa; Richard McCreadie; Paul Henderson (SIGIR, 2025)

Are Generative AI Agents Effective Personalized Financial Advisors? - Takehiro Takayanagi; Kiyoshi Izumi; Javier Sanz-Cruzado; Richard McCreadie; Iadh Ounis (SIGIR, 2025)

Zero-Shot Interactive Text-to-Image Retrieval via Diffusion-Augmented Representations. - Zijun Long; Kangheng Liang; Gerardo Aragon-Camarasa; Richard McCreadie; Paul Henderson (CoRR, 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)