Álvaro Barreiro

25 papers A* 3A 1Misc 3Journal 9Unranked 9
YearRankTypeTitle / Venue / Authors
2025 A* conf
Limitations of Automatic Relevance Assessments with Large Language Models for Fair and Reliable Retrieval Evaluation.
SIGIR
David Otero, Javier Parapar, Álvaro Barreiro
2025 J jnl
Relevance feedback for building pooled test collections.
J. Inf. Sci.
David Otero, Javier Parapar, Álvaro Barreiro
2025 — conf
Towards Reliable Testing for Multiple Information Retrieval System Comparisons.
ECIR (2)
David Otero, Javier Parapar, Álvaro Barreiro
2025 J jnl
Towards Reliable Testing for Multiple Information Retrieval System Comparisons.
CoRR
David Otero, Javier Parapar, Álvaro Barreiro
2024 J jnl
On the Statistical Significance with Relevance Assessments of Large Language Models.
CoRR
David Otero, Javier Parapar, Álvaro Barreiro
2023 A* conf
BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression.
SIGIR
Anxo Pérez, Javier Parapar, Álvaro Barreiro, Silvia Lopez-Larrosa
2023 — conf
PsyProf: A Platform for Assisted Screening of Depression in Social Media.
ECIR (3)
Anxo Pérez, Paloma Piot-Perez-Abadin, Javier Parapar, Álvaro Barreiro
2022 J jnl
Automatic depression score estimation with word embedding models.
Artif. Intell. Medicine
Anxo Pérez, Javier Parapar, Álvaro Barreiro
2021 Misc conf
Testing the tests: simulation of rankings to compare statistical significance tests in information retrieval evaluation.
SAC
Javier Parapar, David E. Losada, Álvaro Barreiro
2021 Misc conf
The wisdom of the rankers: a cost-effective method for building pooled test collections without participant systems.
SAC
David Otero, Javier Parapar, Álvaro Barreiro
2020 — conf
Beaver: Efficiently Building Test Collections for Novel Tasks.
CIRCLE
David Otero, Javier Parapar, Álvaro Barreiro
2020 — conf
Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings.
ECIR (2)
Alfonso Landin, Javier Parapar, Álvaro Barreiro
2020 A conf
Shallow Neural Models for Top-N Recommendation.
ECAI
Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2019 J jnl
Collaborative filtering embeddings for memory-based recommender systems.
Eng. Appl. Artif. Intell.
Daniel Valcarce, Alfonso Landin, Javier Parapar, Álvaro Barreiro
2019 — conf
PRIN: A Probabilistic Recommender with Item Priors and Neural Models.
ECIR (1)
Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2018 J jnl
A MapReduce implementation of posterior probability clustering and relevance models for recommendation.
Eng. Appl. Artif. Intell.
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2018 J jnl
Finding and analysing good neighbourhoods to improve collaborative filtering.
Knowl. Based Syst.
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2018 Misc conf
LiMe: linear methods for pseudo-relevance feedback.
SAC
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2018 — conf
Query Expansion as a Matrix Factorization Problem: Extended Abstract.
CERI
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2018 — conf
Term Association Measures for Memory-based Recommender Systems.
CERI
Eva Suárez-García, Alfonso Landin, Daniel Valcarce, Álvaro Barreiro
2017 J jnl
Axiomatic Analysis of Language Modelling of Recommender Systems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2017 A* conf
Combining Top-N Recommenders with Metasearch Algorithms.
SIGIR
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2016 — conf
Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems.
CERI
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2016 — conf
Computing Neighbourhoods with Language Models in a Collaborative Filtering Scenario.
IIR
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2016 J jnl
Item-based relevance modelling of recommendations for getting rid of long tail products.
Knowl. Based Syst.
Daniel Valcarce, Javier Parapar, Álvaro Barreiro