Publicaciones en las que colabora con Daniel Valcarce (24)

2020

  1. Assessing ranking metrics in top-N recommendation

    Information Retrieval Journal, Vol. 23, Núm. 4, pp. 411-448

  2. Shallow neural models for top-n recommendation

    Frontiers in Artificial Intelligence and Applications

2019

  1. Building High-Quality Datasets for Information Retrieval Evaluation at a Reduced Cost

    XoveTIC 2019: The 2nd XoveTIC Conference (XoveTIC 2019), A Coruña, Spain, 5–6 September

  2. Collaborative filtering embeddings for memory-based recommender systems

    Engineering Applications of Artificial Intelligence, Vol. 85, pp. 347-356

  3. Docencia en Sistemas de Acceso á Información: detección de plaxios, emprego de tecnoloxías avanzadas para desenvolvemento software e achegamento da experiencia na industria á aula

    Contextos universitarios transformadores: construíndo espazos de aprendizaxe.

  4. PRIN: A probabilistic recommender with item priors and neural models

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  5. Priors for Diversity and Novelty on Neural Recommender Systems

    XoveTIC 2019: The 2nd XoveTIC Conference (XoveTIC 2019), A Coruña, Spain, 5–6 September

2018

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

    Engineering Applications of Artificial Intelligence, Vol. 75, pp. 114-124

  2. Document-based and Term-based Linear Methods for Pseudo-Relevance Feedback

    APPLIED COMPUTING REVIEW, Vol. 18, Núm. 4, pp. 5-17

  3. Finding and analysing good neighbourhoods to improve collaborative filtering

    Knowledge-Based Systems, Vol. 159, pp. 193-202

  4. LiMe: Linear methods for pseudo-relevance feedback

    Proceedings of the ACM Symposium on Applied Computing

  5. On the robustness and discriminative power of information retrieval metrics for top-N recommendation

    RecSys 2018 - 12th ACM Conference on Recommender Systems

  6. Query expansion as a matrix factorization problem

    ACM International Conference Proceeding Series

  7. Term association measures for memory-based recommender systems

    ACM International Conference Proceeding Series

2017

  1. Axiomatic Analysis of Language Modelling of Recommender Systems

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 25, pp. 113-127

  2. Combining top-n recommenders with metasearch algorithms

    SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval

2016

  1. Additive smoothing for Relevance-Based Language Modelling of recommender systems

    ACM International Conference Proceeding Series

  2. Computing neighbourhoods with language models in a collaborative filtering scenario

    CEUR Workshop Proceedings

  3. Efficient pseudo-relevance feedback methods for collaborative filtering recommendation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Item-based relevance modelling of recommendations for getting rid of long tail products

    Knowledge-Based Systems, Vol. 103, pp. 41-51