Álvaro Barreiro

发表

Efficient algorithms for ranking documents represented as DNF formulas

D. Losada, Álvaro Barreiro, 2000 .

When Recommenders Met Big Data An Architectural Proposal and Evaluation

Javier Parapar, Daniel Valcarce, Álvaro Barreiro, 2014 .

A Terminological Approach to ResourceDiscovery

Álvaro Barreiro, MechanismsDavid E. Losada, ul Ramos, 2007 .

Automatic depression score estimation with word embedding models

Javier Parapar, Álvaro Barreiro, Anxo Pérez, 2021, Artif. Intell. Medicine.

Formalizing Distinguishability: a Contexts Based Case

Álvaro Barreiro, ul Ramos, 2007 .

Rating the impact of logical representations on retrieval performance

David E. Losada, Alvaro Barreiro, D. Losada, 2001, 12th International Workshop on Database and Expert Systems Applications.

Query expansion using wordnet with a logical model of information retrieval

David E. Losada, Alvaro Barreiro, David Parapar, 2005, IADIS AC.

Sentence Retrieval with LSI and Topic Identification

Alvaro Barreiro, David Parapar, Álvaro Barreiro, 2006, ECIR.

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

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

Probabilistic static pruning of inverted files

Roi Blanco, Alvaro Barreiro, Roi Blanco, 2010, TOIS.

Static Pruning of Terms in Inverted Files

Roi Blanco, Alvaro Barreiro, Roi Blanco, 2007, ECIR.

Score distributions for Pseudo Relevance Feedback

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

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.

Cost-effective construction of Information Retrieval test collections

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

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..

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

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

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..

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

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

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..

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

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

PRIN: A Probabilistic Recommender with Item Priors and Neural Models

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

LiMe: linear methods for pseudo-relevance feedback

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

Promoting Divergent Terms in the Estimation of Relevance Models

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

Blog Posts and Comments Extraction and Impact on Retrieval Effectiveness

Javier Parapar, Álvaro Barreiro, Javier Parapar, 2010 .

Boosting static pruning of inverted files

Roi Blanco, Alvaro Barreiro, Roi Blanco, 2007, SIGIR.

Using a belief revision operator for document ranking in extended Boolean models

David E. Losada, Alvaro Barreiro, D. Losada, 1999, SIGIR '99.

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

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

Collaborative filtering embeddings for memory-based recommender systems

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

Statistical language models for query-by-example spoken document retrieval

Javier Parapar, Álvaro Barreiro, Paula Lopez-Otero, 2020, Multimedia Tools and Applications.

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..

TSP and cluster-based solutions to the reassignment of document identifiers

Roi Blanco, Alvaro Barreiro, Roi Blanco, 2006, Information Retrieval.

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

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

Query Expansion as a Matrix Factorization Problem: Extended Abstract

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

Language Models for Collaborative Filtering Neighbourhoods

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

Computing Neighbourhoods with Language Models in a Collaborative Filtering Scenario

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

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..

BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression

Javier Parapar, Álvaro Barreiro, Silvia López-Larrosa, 2023, SIGIR.

Automatic depression score estimation with word embedding models

Javier Parapar, Álvaro Barreiro, Anxo Pérez, 2022, Artif. Intell. Medicine.

Finding and analysing good neighbourhoods to improve collaborative filtering

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

Axiomatic Analysis of Language Modelling of Recommender Systems

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

Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems

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

Relevance-based language modelling for recommender systems

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

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

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

A Distributed Recommendation Platform for Big Data

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

Negations and Document Length in Logical Retrieval

David E. Losada, Alvaro Barreiro, D. Losada, 2004, SPIRE.

Propositional Logic Representations for Documents and Queries: A Large-Scale Evaluation

David E. Losada, Alvaro Barreiro, D. Losada, 2003, ECIR.

Implementing document ranking within a logical framework

David E. Losada, Alvaro Barreiro, D. Losada, 2000, Proceedings Seventh International Symposium on String Processing and Information Retrieval. SPIRE 2000.

A Logical Model for Information Retrieval based on Propositional Logic and Belief Revision

David E. Losada, Alvaro Barreiro, D. Losada, 2001, Comput. J..

Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings

Javier Parapar, Alfonso Landin, Álvaro Barreiro, 2020, ECIR.

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

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

Term Association Measures for Memory-based Recommender Systems

Daniel Valcarce, Alfonso Landin, Álvaro Barreiro, 2018, CERI.

Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation

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

Using Machine Learning Techniques to Predict Adolescents’ Involvement in Family Conflict

D. Losada, Javier Parapar, Álvaro Barreiro, 2022, Social Science Computer Review.

Constrained Clustering Algorithms: Practical Issues and Applications

Thesis, Álvaro Barreiro García, Tese De Doutoramento, 2013 .

Constrained Text Clustering Using Word Trigrams

M. Eduardo Ares, Álvaro Barreiro, Álvaro Barreiro, 2012 .