Recently, there has been growing interest in recommender systems (RSs) and particularly in context-aware RSs. Methods for generating context-aware recommendations were classified into the pre-filtering, post-filtering and contextual modeling approaches. This paper focuses on comparing the pre-filtering, the post-filtering, the contextual modeling and the un-contextual approaches and on identifying which method dominates the others and under which circumstances. Although some of these methods have been studied independently, no prior research compared the relative performance to determine which of them is better. This paper proposes an effective method of comparing the three methods to incorporate context and selecting the best alternatives. As a result, it provides analysts with a practical suggestion on how to pick a good approach in an effective manner to improve the performance of a context-aware recommender system.

Incorporating Context Into Recommender Systems: An Empirical Comparison Of Context-Based Approaches / Panniello, Umberto; Gorgoglione, Michele. - In: ELECTRONIC COMMERCE RESEARCH. - ISSN 1389-5753. - 12:1(2012), pp. 1-30. [10.1007/s10660-012-9087-7]

Incorporating Context Into Recommender Systems: An Empirical Comparison Of Context-Based Approaches

PANNIELLO, Umberto;GORGOGLIONE, Michele
2012-01-01

Abstract

Recently, there has been growing interest in recommender systems (RSs) and particularly in context-aware RSs. Methods for generating context-aware recommendations were classified into the pre-filtering, post-filtering and contextual modeling approaches. This paper focuses on comparing the pre-filtering, the post-filtering, the contextual modeling and the un-contextual approaches and on identifying which method dominates the others and under which circumstances. Although some of these methods have been studied independently, no prior research compared the relative performance to determine which of them is better. This paper proposes an effective method of comparing the three methods to incorporate context and selecting the best alternatives. As a result, it provides analysts with a practical suggestion on how to pick a good approach in an effective manner to improve the performance of a context-aware recommender system.
2012
Incorporating Context Into Recommender Systems: An Empirical Comparison Of Context-Based Approaches / Panniello, Umberto; Gorgoglione, Michele. - In: ELECTRONIC COMMERCE RESEARCH. - ISSN 1389-5753. - 12:1(2012), pp. 1-30. [10.1007/s10660-012-9087-7]
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/11589/7824
Citazioni
  • Scopus 50
  • ???jsp.display-item.citation.isi??? 40
social impact