Daniel Valcarce

According to our database1, Daniel Valcarce authored at least 25 papers between 2015 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Online presence:

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Bibliography

2021
Replacing Human Audio with Synthetic Audio for on-Device Unspoken Punctuation Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
The Coruña corpus tool: Ten years on.
Proces. del Leng. Natural, 2020

Assessing ranking metrics in top-N recommendation.
Inf. Retr. J., 2020

Shallow Neural Models for Top-N Recommendation.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Information retrieval models for recommender systems.
SIGIR Forum, 2019

Collaborative filtering embeddings for memory-based recommender systems.
Eng. Appl. Artif. Intell., 2019

PRIN: A Probabilistic Recommender with Item Priors and Neural Models.
Proceedings of the Advances in Information Retrieval, 2019

2018
Item-driven group formation.
Online Soc. Networks Media, 2018

Finding and analysing good neighbourhoods to improve collaborative filtering.
Knowl. Based Syst., 2018

A MapReduce implementation of posterior probability clustering and relevance models for recommendation.
Eng. Appl. Artif. Intell., 2018

LiMe: linear methods for pseudo-relevance feedback.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

On the robustness and discriminative power of information retrieval metrics for top-N recommendation.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Query Expansion as a Matrix Factorization Problem: Extended Abstract.
Proceedings of the 5th Spanish Conference on Information Retrieval, 2018

Term Association Measures for Memory-based Recommender Systems.
Proceedings of the 5th Spanish Conference on Information Retrieval, 2018

2017
Axiomatic Analysis of Language Modelling of Recommender Systems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2017

Combining Top-N Recommenders with Metasearch Algorithms.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2016
Item-based relevance modelling of recommendations for getting rid of long tail products.
Knowl. Based Syst., 2016

Computing Neighbourhoods with Language Models in a Collaborative Filtering Scenario.
Proceedings of the 7th Italian Information Retrieval Workshop, 2016

Language Models for Collaborative Filtering Neighbourhoods.
Proceedings of the Advances in Information Retrieval, 2016

Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation.
Proceedings of the Advances in Information Retrieval, 2016

Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems.
Proceedings of the 4th Spanish Conference on Information Retrieval, 2016

2015
A Distributed Recommendation Platform for Big Data.
J. Univers. Comput. Sci., 2015

A Study of Priors for Relevance-Based Language Modelling of Recommender Systems.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Exploring Statistical Language Models for Recommender Systems.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems.
Proceedings of the Advances in Information Retrieval, 2015


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