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Distributional semantic pre-filtering in context-aware recommender systems

Autor
Ceccaroni, L.; Ricci, F.; Codina, V.
Tipus d'activitat
Article en revista
Revista
User modeling and user-adapted interaction
Data de publicació
2016-03-01
Volum
26
Número
1
Pàgina inicial
1
Pàgina final
32
DOI
https://doi.org/10.1007/s11257-015-9158-2 Obrir en finestra nova
URL
http://link.springer.com/article/10.1007/s11257-015-9158-2 Obrir en finestra nova
Resum
Context-aware recommender systems improve context-free recommenders by exploiting the knowledge of the contextual situation under which a user experienced and rated an item. They use data sets of contextually-tagged ratings to predict how the target user would evaluate (rate) an item in a given contextual situation, with the ultimate goal to recommend the items with the best estimated ratings. This paper describes and evaluates a pre-filtering approach to context-aware recommendation, called dis...
Paraules clau
Clustering, Collaborative filtering, Context-awareness, Distributional semantics, Matrix factorization, Pre-filtering, Recommender systems
Grup de recerca
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants

  • Ceccaroni, Luigi  (autor)
  • Ricci, Francesco  (autor)
  • Codina Busquet, Victor  (autor)