Álvaro Barreiro

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 20

Top Topics

Test Collection

Collaborative Filtering

Top Venues

Knowl. Based Syst.

Eng. Appl. Artif. Intell.

Publications

Anxo Pérez, Javier Parapar, Álvaro Barreiro, Silvia Lopez-Larrosa
BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression. SIGIR (2023)
Anxo Pérez, Paloma Piot-Perez-Abadin, Javier Parapar, Álvaro Barreiro
PsyProf: A Platform for Assisted Screening of Depression in Social Media. ECIR (3) (2023)
Anxo Pérez, Javier Parapar, Álvaro Barreiro
Automatic depression score estimation with word embedding models. Artif. Intell. Medicine 132 (2022)
Javier Parapar, David E. Losada, Álvaro Barreiro
Testing the tests: simulation of rankings to compare statistical significance tests in information retrieval evaluation. SAC (2021)
David Otero, Javier Parapar, Álvaro Barreiro
The wisdom of the rankers: a cost-effective method for building pooled test collections without participant systems. SAC (2021)
David Otero, Javier Parapar, Álvaro Barreiro
Beaver: Efficiently Building Test Collections for Novel Tasks. CIRCLE (2020)
Alfonso Landin, Javier Parapar, Álvaro Barreiro
Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings. ECIR (2) (2020)
Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro
Shallow Neural Models for Top-N Recommendation. ECAI (2020)
Daniel Valcarce, Alfonso Landin, Javier Parapar, Álvaro Barreiro
Collaborative filtering embeddings for memory-based recommender systems. Eng. Appl. Artif. Intell. 85 (2019)
Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro
PRIN: A Probabilistic Recommender with Item Priors and Neural Models. ECIR (1) (2019)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
LiMe: linear methods for pseudo-relevance feedback. SAC (2018)
Eva Suárez-García, Alfonso Landin, Daniel Valcarce, Álvaro Barreiro
Term Association Measures for Memory-based Recommender Systems. CERI (2018)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
A MapReduce implementation of posterior probability clustering and relevance models for recommendation. Eng. Appl. Artif. Intell. 75 (2018)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
Finding and analysing good neighbourhoods to improve collaborative filtering. Knowl. Based Syst. 159 (2018)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
Query Expansion as a Matrix Factorization Problem: Extended Abstract. CERI (2018)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
Axiomatic Analysis of Language Modelling of Recommender Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 25 (Supplement-2) (2017)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
Combining Top-N Recommenders with Metasearch Algorithms. SIGIR (2017)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems. CERI (2016)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
Computing Neighbourhoods with Language Models in a Collaborative Filtering Scenario. IIR (2016)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
Item-based relevance modelling of recommendations for getting rid of long tail products. Knowl. Based Syst. 103 (2016)