Javier Parapar

发表

An automatic linking service of document images reducing the effects of OCR errors with latent semantics

José Antonio Camacho Guerrero, Alessandra Alaniz Macedo, Renato Bulcão Neto, 2010, SAC '10.

Improving Text Clustering with Social Tagging

Alvaro Barreiro, Javier Parapar, M. Eduardo Ares, 2011, ICWSM.

Revisiting N-Gram Based Models for Retrieval in Degraded Large Collections

Alvaro Barreiro, Javier Parapar, Ana Freire, 2009, ECIR.

A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems

Alvaro Barreiro, Javier Parapar, Daniel Valcarce, 2015, ECIR.

Where to start filtering redundancy?: a cluster-based approach

David E. Losada, Alvaro Barreiro, Javier Parapar, 2010, SIGIR.

Psychological Features for Automatic Text Summarization

Javier Parapar, David E. Losada, D. Losada, 2017, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Comments-Oriented Query Expansion for Opinion Retrieval in Blogs

David E. Losada, Javier Parapar, José M. Chenlo, 2013, CAEPIA.

The Use of Latent Semantic Indexing to Mitigate OCR Effects of Related Document Images

José Antonio Camacho Guerrero, Alessandra Alaniz Macedo, Renato Bulcão Neto, 2011, J. Univers. Comput. Sci..

Overview of eRisk: Early Risk Prediction on the Internet (Extended Lab Overview)

Fabio Crestani, David E. Losada, Javier Parapar, 2018, CLEF.

Finding a needle in the blogosphere: An information fusion approach for blog distillation search

David E. Losada, Javier Parapar, José Santos, 2015, Inf. Fusion.

Compression-based document length prior for language models

David E. Losada, Alvaro Barreiro, Javier Parapar, 2009, SIGIR.

A rank fusion approach based on score distributions for prioritizing relevance assessments in information retrieval evaluation

David E. Losada, Alvaro Barreiro, Javier Parapar, 2018, Inf. Fusion.

Cost-effective construction of Information Retrieval test collections

David E. Losada, Alvaro Barreiro, Javier Parapar, 2018, CERI.

The Coruña Corpus Tool

Javier Parapar, Isabel Moskowich-Spiegel Fandiño, Javier Parapar, 2007, Proces. del Leng. Natural.

Overview of eRisk 2019 Early Risk Prediction on the Internet

Fabio Crestani, David E. Losada, Javier Parapar, 2019, CLEF.

Generating news summaries at indexing time

Javier Parapar, 2007 .

Finding and analysing good neighbourhoods to improve collaborative filtering

Javier Parapar, Daniel Valcarce, Álvaro Barreiro, 2018, Knowl. Based Syst..

When to stop making relevance judgments? A study of stopping methods for building information retrieval test collections

David E. Losada, Alvaro Barreiro, Javier Parapar, 2018, J. Assoc. Inf. Sci. Technol..

Language Modelling of Constraints for Text Clustering

Alvaro Barreiro, Javier Parapar, 2012, ECIR.

PRIN: A Probabilistic Recommender with Item Priors and Neural Models

Javier Parapar, Daniel Valcarce, Alfonso Landin, 2019, ECIR.

Priors for Diversity and Novelty on Neural Recommender Systems

Javier Parapar, Daniel Valcarce, Alfonso Landin, 2019 .

An experimental study of constrained clustering effectiveness in presence of erroneous constraints

Alvaro Barreiro, Javier Parapar, M. Eduardo Ares, 2012, Inf. Process. Manag..

Relevance-based language modelling for recommender systems

Alejandro Bellogín, Pablo Castells, Alvaro Barreiro, 2013, Inf. Process. Manag..

Improving Alternative Text Clustering Quality in the Avoiding Bias Task with Spectral and Flat Partition Algorithms

Alvaro Barreiro, Javier Parapar, M. Eduardo Ares, 2010, DEXA.

Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links

Alvaro Barreiro, Javier Parapar, M. Eduardo Ares, 2009, ICTIR.

Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems

Javier Parapar, Daniel Valcarce, Álvaro Barreiro, 2016, CERI.

Building High-Quality Datasets for Information Retrieval Evaluation at a Reduced Cost

Javier Parapar, David Otero, Daniel Valcarce, 2019, Proceedings.

Blog snippets: a comments-biased approach

Javier Parapar, Alvaro Barreiro, Jorge López-Castro, 2010, SIGIR '10.

Query Expansion as a Matrix Factorization Problem: Extended Abstract

Javier Parapar, Daniel Valcarce, Álvaro Barreiro, 2018, CERI.

Collaborative filtering embeddings for memory-based recommender systems

Javier Parapar, Daniel Valcarce, Alfonso Landin, 2019, Eng. Appl. Artif. Intell..

Feeling lucky?: multi-armed bandits for ordering judgements in pooling-based evaluation

David E. Losada, Alvaro Barreiro, Javier Parapar, 2016, SAC.

NowOnWeb: a NewsIR System

Alvaro Barreiro, Javier Parapar, 2007, Proces. del Leng. Natural.

Efficient query-by-example spoken document retrieval combining phone multigram representation and dynamic time warping

Paula Lopez-Otero, Javier Parapar, Alvaro Barreiro, 2019, Inf. Process. Manag..

NowOnWeb: News Search and Summarization

Alvaro Barreiro, Javier Parapar, José M. Casanova, 2007, EUROCAST.

Multi-armed bandits for adjudicating documents in pooling-based evaluation of information retrieval systems

David E. Losada, Javier Parapar, Alvaro Barreiro, 2017, Inf. Process. Manag..

Combining Psycho-linguistic, Content-based and Chat-based Features to Detect Predation in Chatrooms

David E. Losada, Alvaro Barreiro, Javier Parapar, 2014, J. Univers. Comput. Sci..

Using graph partitioning techniques for neighbour selection in user-based collaborative filtering

Alejandro Bellogín, Javier Parapar, Alejandro Bellogín, 2012, RecSys.

A Cluster Based Pseudo Feedback Technique Which Exploits Good and Bad Clusters

Alvaro Barreiro, Javier Parapar, 2011, CAEPIA.

Injecting Multiple Psychological Features into Standard Text Summarisers

David E. Losada, Javier Parapar, D. Losada, 2016, CERI.

Writing science, compiling science: the "Coruña Corpus of English Scientific Writing"

Javier Parapar, Isabel Moskowich, Javier Parapar, 2008 .

Probabilistic collaborative filtering with negative cross entropy

Alejandro Bellogín, Pablo Castells, Javier Parapar, 2013, RecSys.

Improving the Extraction of Text in PDFs by Simulating the Human Reading Order

Alvaro Barreiro, Javier Parapar, Ismael Hasan, 2012, J. Univers. Comput. Sci..

A Study of Priors for Relevance-Based Language Modelling of Recommender Systems

Alvaro Barreiro, Javier Parapar, Daniel Valcarce, 2015, RecSys.

Language Models for Collaborative Filtering Neighbourhoods

Alvaro Barreiro, Javier Parapar, Daniel Valcarce, 2016, ECIR.

Early Detection of Risks on the Internet: An Exploratory Campaign

Fabio Crestani, David E. Losada, Javier Parapar, 2019, ECIR.

University of Lugano at TREC 2010

Mostafa Keikha, Fabio Crestani, Javier Parapar, 2010, TREC.

Overview of eRisk at CLEF 2019: Early Risk Prediction on the Internet (extended overview)

Fabio Crestani, David E. Losada, Javier Parapar, 2019, CLEF.

Item-based relevance modelling of recommendations for getting rid of long tail products

Javier Parapar, Daniel Valcarce, Álvaro Barreiro, 2016, Knowl. Based Syst..

A MapReduce implementation of posterior probability clustering and relevance models for recommendation

Javier Parapar, Daniel Valcarce, Álvaro Barreiro, 2018, Eng. Appl. Artif. Intell..

Score distributions for Pseudo Relevance Feedback

Alvaro Barreiro, Javier Parapar, Manuel A. Presedo Quindimil, 2014, Inf. Sci..

Evaluation of Text Clustering Algorithms with N-Gram-Based Document Fingerprints

Alvaro Barreiro, Javier Parapar, 2009, ECIR.

Segmentation of Legislative Documents Using a Domain-Specific Lexicon

Roi Blanco, Javier Parapar, Ismael Hasan, 2008, 2008 19th International Workshop on Database and Expert Systems Applications.

Combining Top-N Recommenders with Metasearch Algorithms

Javier Parapar, Daniel Valcarce, Álvaro Barreiro, 2017, SIGIR.

Promoting Divergent Terms in the Estimation of Relevance Models

Alvaro Barreiro, Javier Parapar, Javier Parapar, 2011, ICTIR.

Winnowing-based text clustering

Alvaro Barreiro, Javier Parapar, 2008, CIKM '08.

A Learning-Based Approach for the Identification of Sexual Predators in Chat Logs

David E. Losada, Alvaro Barreiro, Javier Parapar, 2012, CLEF.

eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations

Fabio Crestani, David E. Losada, Javier Parapar, 2017, CLEF.

Computing Neighbourhoods with Language Models in a Collaborative Filtering Scenario

Javier Parapar, Daniel Valcarce, Álvaro Barreiro, 2016, IIR.

Document-based and term-based linear methods for pseudo-relevance feedback

Javier Parapar, Daniel Valcarce, Álvaro Barreiro, 2019, SIAP.

Information Retrieval and Recommender Systems

Javier Parapar, Fidel Cacheda, Fidel Cacheda, 2015, J. Univers. Comput. Sci..

Axiomatic Analysis of Language Modelling of Recommender Systems

Javier Parapar, Daniel Valcarce, Álvaro Barreiro, 2017, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

CLEF 2017 eRisk Overview: Early Risk Prediction on the Internet: Experimental Foundations

Fabio Crestani, David E. Losada, Javier Parapar, 2017, CLEF.

Using score distributions to compare statistical significance tests for information retrieval evaluation

David E. Losada, Alvaro Barreiro, Javier Parapar, 2019, J. Assoc. Inf. Sci. Technol..

Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation

Alvaro Barreiro, Javier Parapar, Daniel Valcarce, 2016, ECIR.

A Distributed Recommendation Platform for Big Data

Alvaro Barreiro, Javier Parapar, Daniel Valcarce, 2015, J. Univers. Comput. Sci..

LiMe: linear methods for pseudo-relevance feedback

Javier Parapar, Daniel Valcarce, Álvaro Barreiro, 2018, SAC.

On the robustness and discriminative power of information retrieval metrics for top-N recommendation

Alejandro Bellogín, Pablo Castells, Javier Parapar, 2018, RecSys.

An effective and efficient web news extraction technique for an operational newsIR system

Javier Parapar, Álvaro Barreiro García, 2007 .

Diverse User Preference Elicitation with Multi-Armed Bandits

Filip Radlinski, Javier Parapar, Filip Radlinski, 2021, WSDM.

Overview of eRisk 2021: Early Risk Prediction on the Internet

Patricia Martín-Rodilla, Fabio Crestani, David E. Losada, 2021, CLEF.

Towards Unified Metrics for Accuracy and Diversity for Recommender Systems

Filip Radlinski, Javier Parapar, Filip Radlinski, 2021, RecSys.

Testing the tests: simulation of rankings to compare statistical significance tests in information retrieval evaluation

David E. Losada, Javier Parapar, Álvaro Barreiro, 2021, SAC.

eRisk 2021: Pathological Gambling, Self-harm and Depression Challenges

Patricia Martín-Rodilla, Fabio Crestani, David E. Losada, 2021, ECIR.

The wisdom of the rankers: a cost-effective method for building pooled test collections without participant systems

Javier Parapar, Álvaro Barreiro, David Otero, 2021, SAC.

Experimental Analysis of the Relevance of Features and Effects on Gender Classification Models for Social Media Author Profiling

Patricia Martín-Rodilla, Javier Parapar, Paloma Piot-Perez-Abadin, 2021, ENASE.

Blog Posts and Comments Extraction and Impact on Retrieval Effectiveness

Javier Parapar, Álvaro Barreiro, Javier Parapar, 2010 .