Daniel Valcarce

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 22

Top Topics

Matrix Factorization

Discriminative Power

Recommender Systems

Collaborative Filtering

Top Venues

Knowl. Based Syst.

Publications

Daria Soboleva, Ondrej Skopek, Márius Sajgalík, Victor Carbune, Felix Weissenberger, Julia Proskurnia, Bogdan Prisacari, Daniel Valcarce, Justin Lu, Rohit Prabhavalkar, Balint Miklos
Replacing Human Audio with Synthetic Audio for on-Device Unspoken Punctuation Prediction. ICASSP (2021)
Anabella Barsaglini-Castro, Daniel Valcarce
The Coruña corpus tool: Ten years on. Proces. del Leng. Natural 64 (2020)
Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells
Assessing ranking metrics in top-N recommendation. Inf. Retr. J. 23 (4) (2020)
Daria Soboleva, Ondrej Skopek, Márius Sajgalík, Victor Carbune, Felix Weissenberger, Julia Proskurnia, Bogdan Prisacari, Daniel Valcarce, Justin Lu, Rohit Prabhavalkar, Balint Miklos
Replacing Human Audio with Synthetic Audio for On-device Unspoken Punctuation Prediction. CoRR (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)
Daniel Valcarce
Information retrieval models for recommender systems. SIGIR Forum 53 (1) (2019)
Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro
PRIN: A Probabilistic Recommender with Item Priors and Neural Models. ECIR (1) (2019)
Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells
On the robustness and discriminative power of information retrieval metrics for top-N recommendation. RecSys (2018)
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, Igo Ramalho Brilhante, José A. F. de Macêdo, Franco Maria Nardini, Raffaele Perego, Chiara Renso
Item-driven group formation. Online Soc. Networks Media 8 (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, Alvaro Barreiro
Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation. ECIR (2016)
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems. CERI (2016)
Daniel Valcarce, Javier Parapar, Alvaro Barreiro
Language Models for Collaborative Filtering Neighbourhoods. ECIR (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)
Daniel Valcarce, Javier Parapar, Alvaro Barreiro
A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems. ECIR (2015)
Daniel Valcarce
Exploring Statistical Language Models for Recommender Systems. RecSys (2015)
Daniel Valcarce, Javier Parapar, Alvaro Barreiro
A Distributed Recommendation Platform for Big Data. J. Univers. Comput. Sci. 21 (13) (2015)
Daniel Valcarce, Javier Parapar, Alvaro Barreiro
A Study of Priors for Relevance-Based Language Modelling of Recommender Systems. RecSys (2015)