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μ-cf2vec:  Representation Learning for Personalized Algorithm Selection in Recommender Systems

Title
μ-cf2vec:  Representation Learning for Personalized Algorithm Selection in Recommender Systems
Type
Thesis
Year
2020-07-28
Authors
Tomás Trigueiros de Sousa Pereira
(Author)
FEUP
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Scientific classification
FOS: Engineering and technology
Other information
Resumo (PT): Neste momento Collaborative filtering é a tecnica que permite alcancar resultados do estado daarte em problemas de sistemas de recomendação. Existem várias implementações desta técnica cada uma com as suas características.
Abstract (EN): Collaborative filtering has becoming standard approach to achieve state of the art results in rec-ommendation systems problems. There are multiples implementations of this technique, each onethem with its own characteristics.
Language: English
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mu_cf2vec μ-cf2vec: Representation Learning forPersonalized Algorithm Selection inRecommender Systems 1703.28 KB
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