Javier Parapar

According to our database1, Javier Parapar authored at least 79 papers between 2007 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Diverse User Preference Elicitation with Multi-Armed Bandits.
Proceedings of the WSDM '21, 2021

Testing the tests: simulation of rankings to compare statistical significance tests in information retrieval evaluation.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

The wisdom of the rankers: a cost-effective method for building pooled test collections without participant systems.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Towards Unified Metrics for Accuracy and Diversity for Recommender Systems.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Experimental Analysis of the Relevance of Features and Effects on Gender Classification Models for Social Media Author Profiling.
Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering, 2021

eRisk 2021: Pathological Gambling, Self-harm and Depression Challenges.
Proceedings of the Advances in Information Retrieval, 2021

Overview of eRisk 2021: Early Risk Prediction on the Internet.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2021

Overview of eRisk at CLEF 2021: Early Risk Prediction on the Internet (Extended Overview).
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020
Statistical language models for query-by-example spoken document retrieval.
Multim. Tools Appl., 2020

Using score distributions to compare statistical significance tests for information retrieval evaluation.
J. Assoc. Inf. Sci. Technol., 2020

Assessing ranking metrics in top-N recommendation.
Inf. Retr. J., 2020

eRisk 2020: Self-harm and Depression Challenges.
Proceedings of the Advances in Information Retrieval, 2020

Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings.
Proceedings of the Advances in Information Retrieval, 2020

Shallow Neural Models for Top-N Recommendation.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Overview of eRisk at CLEF 2020: Early Risk Prediction on the Internet (Extended Overview).
Proceedings of the Working Notes of CLEF 2020, 2020

Overview of eRisk 2020: Early Risk Prediction on the Internet.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2020

Beaver: Efficiently Building Test Collections for Novel Tasks.
Proceedings of the First Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020), 2020

2019
When to stop making relevance judgments? A study of stopping methods for building information retrieval test collections.
J. Assoc. Inf. Sci. Technol., 2019

Efficient query-by-example spoken document retrieval combining phone multigram representation and dynamic time warping.
Inf. Process. Manag., 2019

Collaborative filtering embeddings for memory-based recommender systems.
Eng. Appl. Artif. Intell., 2019

Early Detection of Risks on the Internet: An Exploratory Campaign.
Proceedings of the Advances in Information Retrieval, 2019

PRIN: A Probabilistic Recommender with Item Priors and Neural Models.
Proceedings of the Advances in Information Retrieval, 2019

Overview of eRisk 2019 Early Risk Prediction on the Internet.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2019

Overview of eRisk at CLEF 2019: Early Risk Prediction on the Internet (extended overview).
Proceedings of the Working Notes of CLEF 2019, 2019

2018
Finding and analysing good neighbourhoods to improve collaborative filtering.
Knowl. Based Syst., 2018

A rank fusion approach based on score distributions for prioritizing relevance assessments in information retrieval evaluation.
Inf. Fusion, 2018

A MapReduce implementation of posterior probability clustering and relevance models for recommendation.
Eng. Appl. Artif. Intell., 2018

LiMe: linear methods for pseudo-relevance feedback.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

On the robustness and discriminative power of information retrieval metrics for top-N recommendation.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Overview of eRisk: Early Risk Prediction on the Internet.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2018

Overview of eRisk: Early Risk Prediction on the Internet (Extended Lab Overview).
Proceedings of the Working Notes of CLEF 2018, 2018

Query Expansion as a Matrix Factorization Problem: Extended Abstract.
Proceedings of the 5th Spanish Conference on Information Retrieval, 2018

Cost-effective construction of Information Retrieval test collections.
Proceedings of the 5th Spanish Conference on Information Retrieval, 2018

2017
Multi-armed bandits for adjudicating documents in pooling-based evaluation of information retrieval systems.
Inf. Process. Manag., 2017

Axiomatic Analysis of Language Modelling of Recommender Systems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2017

Psychological Features for Automatic Text Summarization.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2017

Combining Top-N Recommenders with Metasearch Algorithms.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2017

CLEF 2017 eRisk Overview: Early Risk Prediction on the Internet: Experimental Foundations.
Proceedings of the Working Notes of CLEF 2017, 2017

2016
Item-based relevance modelling of recommendations for getting rid of long tail products.
Knowl. Based Syst., 2016

Feeling lucky?: multi-armed bandits for ordering judgements in pooling-based evaluation.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Computing Neighbourhoods with Language Models in a Collaborative Filtering Scenario.
Proceedings of the 7th Italian Information Retrieval Workshop, 2016

Language Models for Collaborative Filtering Neighbourhoods.
Proceedings of the Advances in Information Retrieval, 2016

Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation.
Proceedings of the Advances in Information Retrieval, 2016

Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems.
Proceedings of the 4th Spanish Conference on Information Retrieval, 2016

Injecting Multiple Psychological Features into Standard Text Summarisers.
Proceedings of the 4th Spanish Conference on Information Retrieval, 2016

2015
A Distributed Recommendation Platform for Big Data.
J. Univers. Comput. Sci., 2015

Information Retrieval and Recommender Systems.
J. Univers. Comput. Sci., 2015

Finding a needle in the blogosphere: An information fusion approach for blog distillation search.
Inf. Fusion, 2015

A Study of Priors for Relevance-Based Language Modelling of Recommender Systems.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems.
Proceedings of the Advances in Information Retrieval, 2015

2014
Combining Psycho-linguistic, Content-based and Chat-based Features to Detect Predation in Chatrooms.
J. Univers. Comput. Sci., 2014

Score distributions for Pseudo Relevance Feedback.
Inf. Sci., 2014

2013
Relevance-based language modelling for recommender systems.
Inf. Process. Manag., 2013

Probabilistic collaborative filtering with negative cross entropy.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Comments-Oriented Query Expansion for Opinion Retrieval in Blogs.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
Improving the Extraction of Text in PDFs by Simulating the Human Reading Order.
J. Univers. Comput. Sci., 2012

An experimental study of constrained clustering effectiveness in presence of erroneous constraints.
Inf. Process. Manag., 2012

Using graph partitioning techniques for neighbour selection in user-based collaborative filtering.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Language Modelling of Constraints for Text Clustering.
Proceedings of the Advances in Information Retrieval, 2012

A Learning-Based Approach for the Identification of Sexual Predators in Chat Logs.
Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012

2011
The Use of Latent Semantic Indexing to Mitigate OCR Effects of Related Document Images.
J. Univers. Comput. Sci., 2011

Improving Text Clustering with Social Tagging.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Promoting Divergent Terms in the Estimation of Relevance Models.
Proceedings of the Advances in Information Retrieval Theory, 2011

A Cluster Based Pseudo Feedback Technique Which Exploits Good and Bad Clusters.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
University of Lugano at TREC 2010.
Proceedings of The Nineteenth Text REtrieval Conference, 2010

Blog snippets: a comments-biased approach.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Where to start filtering redundancy?: a cluster-based approach.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

An automatic linking service of document images reducing the effects of OCR errors with latent semantics.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Improving Alternative Text Clustering Quality in the Avoiding Bias Task with Spectral and Flat Partition Algorithms.
Proceedings of the Database and Expert Systems Applications, 21th International Conference, 2010

2009
Compression-based document length prior for language models.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links.
Proceedings of the Advances in Information Retrieval Theory, 2009

Revisiting N-Gram Based Models for Retrieval in Degraded Large Collections.
Proceedings of the Advances in Information Retrieval, 2009

Evaluation of Text Clustering Algorithms with N-Gram-Based Document Fingerprints.
Proceedings of the Advances in Information Retrieval, 2009

2008
Segmentation of Legislative Documents Using a Domain-Specific Lexicon.
Proceedings of the 19th International Workshop on Database and Expert Systems Applications (DEXA 2008), 2008

Winnowing-based text clustering.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
The Coruña Corpus Tool.
Proces. del Leng. Natural, 2007

NowOnWeb: a NewsIR System.
Proces. del Leng. Natural, 2007

NowOnWeb: News Search and Summarization.
Proceedings of the Computer Aided Systems Theory, 2007


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