Daniel Valcarce

26 papers A* 1A 7Misc 2Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2021 Misc conf
Replacing Human Audio with Synthetic Audio for on-Device Unspoken Punctuation Prediction.
ICASSP
Daria Soboleva, Ondrej Skopek, Márius Sajgalík, Victor Carbune, Felix Weissenberger, Julia Proskurnia, Bogdan Prisacari, Daniel Valcarce, Justin Lu, Rohit Prabhavalkar, Balint Miklos
2020 J jnl
Assessing ranking metrics in top-N recommendation.
Inf. Retr. J.
Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells
2020 J jnl
Replacing Human Audio with Synthetic Audio for On-device Unspoken Punctuation Prediction.
CoRR
Daria Soboleva, Ondrej Skopek, Márius Sajgalík, Victor Carbune, Felix Weissenberger, Julia Proskurnia, Bogdan Prisacari, Daniel Valcarce, Justin Lu, Rohit Prabhavalkar, Balint Miklos
2020 A conf
Shallow Neural Models for Top-N Recommendation.
ECAI
Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2020 J jnl
The Coruña corpus tool: Ten years on.
Proces. del Leng. Natural
Anabella Barsaglini-Castro, Daniel Valcarce
2019 J jnl
Collaborative filtering embeddings for memory-based recommender systems.
Eng. Appl. Artif. Intell.
Daniel Valcarce, Alfonso Landin, Javier Parapar, Álvaro Barreiro
2019 J jnl
Information retrieval models for recommender systems.
SIGIR Forum
Daniel Valcarce
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 J jnl
Item-driven group formation.
Online Soc. Networks Media
Daniel Valcarce, Igo Ramalho Brilhante, José A. F. de Macêdo, Franco Maria Nardini, Raffaele Perego, Chiara Renso
2018 Misc conf
LiMe: linear methods for pseudo-relevance feedback.
SAC
Daniel Valcarce, Javier Parapar, Álvaro Barreiro
2018 A conf
On the robustness and discriminative power of information retrieval metrics for top-N recommendation.
RecSys
Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells
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 A conf
Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation.
ECIR
Daniel Valcarce, Javier Parapar, Alvaro 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
2016 A conf
Language Models for Collaborative Filtering Neighbourhoods.
ECIR
Daniel Valcarce, Javier Parapar, Alvaro Barreiro
2015 J jnl
A Distributed Recommendation Platform for Big Data.
J. Univers. Comput. Sci.
Daniel Valcarce, Javier Parapar, Alvaro Barreiro
2015 A conf
A Study of Priors for Relevance-Based Language Modelling of Recommender Systems.
RecSys
Daniel Valcarce, Javier Parapar, Alvaro Barreiro
2015 A conf
A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems.
ECIR
Daniel Valcarce, Javier Parapar, Alvaro Barreiro
2015 A conf
Exploring Statistical Language Models for Recommender Systems.
RecSys
Daniel Valcarce