Recent research has shown that including context in a recommender system may improve its performance. The context-based recommendation. approaches are classified as pre-filtering, post-filtering and contextual modeling. Moreover, in real e-commerce applications, collecting ratings may be quite difficult. It is possible to use purchasing frequencies instead of ratings, but little research has been done. The research contribution of this work lies in studying when and how including context with a pre-filtering approach improves the performance of a recommender system using transactional data. To this aim, we studied the interaction between homogeneity and sparsity, in several experimental settings. The experiments were done on two databases coming from two actual e-commerce applications.

Including Context in a Transactional Recommender System Using a Pre-Filtering Approach: Two Real E-Commerce Applications / Gorgoglione, Michele; Panniello, Umberto. - STAMPA. - (2009), pp. 667-672. (Intervento presentato al convegno 23rd International Conference on Advanced Information Networking and Applications Workshops, WAINA 2009 tenutosi a Bradford, UK nel May 26-29, 2009) [10.1109/WAINA.2009.112].

Including Context in a Transactional Recommender System Using a Pre-Filtering Approach: Two Real E-Commerce Applications

Michele Gorgoglione;Panniello, Umberto
2009-01-01

Abstract

Recent research has shown that including context in a recommender system may improve its performance. The context-based recommendation. approaches are classified as pre-filtering, post-filtering and contextual modeling. Moreover, in real e-commerce applications, collecting ratings may be quite difficult. It is possible to use purchasing frequencies instead of ratings, but little research has been done. The research contribution of this work lies in studying when and how including context with a pre-filtering approach improves the performance of a recommender system using transactional data. To this aim, we studied the interaction between homogeneity and sparsity, in several experimental settings. The experiments were done on two databases coming from two actual e-commerce applications.
2009
23rd International Conference on Advanced Information Networking and Applications Workshops, WAINA 2009
978-1-4244-3999-7
Including Context in a Transactional Recommender System Using a Pre-Filtering Approach: Two Real E-Commerce Applications / Gorgoglione, Michele; Panniello, Umberto. - STAMPA. - (2009), pp. 667-672. (Intervento presentato al convegno 23rd International Conference on Advanced Information Networking and Applications Workshops, WAINA 2009 tenutosi a Bradford, UK nel May 26-29, 2009) [10.1109/WAINA.2009.112].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/17926
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