Methods for generating context-aware recommendations were classified into the pre-filtering, post-filtering and contextual modeling approaches. This paper proposes a novel type of contextual modeling (CM) based on the contextual neighbors approach and introduces four specific contextual neighbors methods. It compares these four types of contextual neighbors techniques to determine the best-performing alternative among them. Then it compares this best-of-breed method with the contextual pre-filtering, post-filtering and un-contextual methods to determine how well the CM approach compares with other context-aware recommendation techniques

A Contextual Modeling Approach to Context-Aware Recommender Systems / Panniello, Umberto; Gorgoglione, Michele. - ELETTRONICO. - 791:(2011). (Intervento presentato al convegno Context-Aware Recommender Systems 2011, CARS'11 tenutosi a Chicago, IL nel October 23, 2011).

A Contextual Modeling Approach to Context-Aware Recommender Systems

Umberto Panniello;Michele Gorgoglione
2011-01-01

Abstract

Methods for generating context-aware recommendations were classified into the pre-filtering, post-filtering and contextual modeling approaches. This paper proposes a novel type of contextual modeling (CM) based on the contextual neighbors approach and introduces four specific contextual neighbors methods. It compares these four types of contextual neighbors techniques to determine the best-performing alternative among them. Then it compares this best-of-breed method with the contextual pre-filtering, post-filtering and un-contextual methods to determine how well the CM approach compares with other context-aware recommendation techniques
2011
Context-Aware Recommender Systems 2011, CARS'11
A Contextual Modeling Approach to Context-Aware Recommender Systems / Panniello, Umberto; Gorgoglione, Michele. - ELETTRONICO. - 791:(2011). (Intervento presentato al convegno Context-Aware Recommender Systems 2011, CARS'11 tenutosi a Chicago, IL nel October 23, 2011).
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/23489
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact