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Works (8)

Shallow Neural Models for Top-N Recommendation

24th European Conference on Artificial Intelligence (ECAI 2020)
2020 | Conference poster
Source: Self-asserted source
Alfonso Landin

Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings

Lecture Notes in Computer Science
2020-04-08 | Other
DOI: 10.1007/978-3-030-45442-5_27
Part of ISSN: 0302-9743
Contributors: Alfonso Landin; Javier Parapar; Álvaro Barreiro
Source: Self-asserted source
Alfonso Landin via Crossref Metadata Search

Collaborative filtering embeddings for memory-based recommender systems

Engineering Applications of Artificial Intelligence
2019-10 | Journal article
DOI: 10.1016/j.engappai.2019.06.020
Part of ISSN: 0952-1976
Contributors: Daniel Valcarce; Alfonso Landin; Javier Parapar; Álvaro Barreiro
Source: Self-asserted source
Alfonso Landin via Crossref Metadata Search

Priors for Diversity and Novelty on Neural Recommender Systems

Proceedings
2019-07 | Journal article
DOI: 10.3390/proceedings2019021020
Part of ISSN: 2504-3900
Contributors: Alfonso Landin; Daniel Valcarce; Javier Parapar; Álvaro Barreiro
Source: Self-asserted source
Alfonso Landin via Crossref Metadata Search

Learning User and Item Representations for Recommender Systems

Lecture Notes in Computer Science
2019-04-07 | Other
DOI: 10.1007/978-3-030-15719-7_45
Part of ISSN: 0302-9743
Contributors: Alfonso Landin
Source: Self-asserted source
Alfonso Landin via Crossref Metadata Search

PRIN: A Probabilistic Recommender with Item Priors and Neural Models

Lecture Notes in Computer Science
2019-04-07 | Other
DOI: 10.1007/978-3-030-15712-8_9
Part of ISSN: 0302-9743
Contributors: Alfonso Landin; Daniel Valcarce; Javier Parapar; Álvaro Barreiro
Source: Self-asserted source
Alfonso Landin via Crossref Metadata Search

Term Association Measures for Memory-based Recommender Systems

Proceedings of the 5th Spanish Conference on Information Retrieval - CERI '18
2018 | Conference paper
DOI: 10.1145/3230599.3230606
Part of ISBN: 9781450365437
Contributors: Eva Suárez-García; Alfonso Landin; Daniel Valcarce; Álvaro Barreiro
Source: Self-asserted source
Alfonso Landin via Crossref Metadata Search

When Diversity Met Accuracy: A Story of Recommender Systems

Proceedings
2018-09 | Journal article | Author
DOI: 10.3390/proceedings2181178
Contributors: Alfonso Landin; Eva Suárez-García; Daniel Valcarce
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Multidisciplinary Digital Publishing Institute
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