Daniel Valcarce

SIGIR Forum, 2019

Collaborative filtering embeddings for memory-based recommender systems.

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Eng. Appl. Artif. Intell., 2019

PRIN: A Probabilistic Recommender with Item Priors and Neural Models.

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Proceedings of the Advances in Information Retrieval, 2019

2018

Item-driven group formation.

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Igo Ramalho Brilhante

Online Soc. Networks Media, 2018

Finding and analysing good neighbourhoods to improve collaborative filtering.

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Knowl. Based Syst., 2018

A MapReduce implementation of posterior probability clustering and relevance models for recommendation.

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Eng. Appl. Artif. Intell., 2018

LiMe: linear methods for pseudo-relevance feedback.

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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.

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Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Query Expansion as a Matrix Factorization Problem: Extended Abstract.

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Proceedings of the 5th Spanish Conference on Information Retrieval, 2018

Term Association Measures for Memory-based Recommender Systems.

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Proceedings of the 5th Spanish Conference on Information Retrieval, 2018

2017

Axiomatic Analysis of Language Modelling of Recommender Systems.

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Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2017

Combining Top-N Recommenders with Metasearch Algorithms.

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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.

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Knowl. Based Syst., 2016

Computing Neighbourhoods with Language Models in a Collaborative Filtering Scenario.

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Proceedings of the 7th Italian Information Retrieval Workshop, 2016

Language Models for Collaborative Filtering Neighbourhoods.

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Proceedings of the Advances in Information Retrieval, 2016

Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation.

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Proceedings of the Advances in Information Retrieval, 2016

Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems.

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Proceedings of the 4th Spanish Conference on Information Retrieval, 2016

2015

A Distributed Recommendation Platform for Big Data.

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J. Univers. Comput. Sci., 2015

A Study of Priors for Relevance-Based Language Modelling of Recommender Systems.

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Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Exploring Statistical Language Models for Recommender Systems.

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Proceedings of the 9th ACM Conference on Recommender Systems, 2015

A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems.

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