Context-aware recommender systems: A service-oriented approach

Sofiane Abbar, Mokrane Bouzeghoub, Stéphane Lopez

Research output: Contribution to conferencePaper

37 Citations (Scopus)

Abstract

Recommender systems are efficient tools that overcome the information overload problem by providing users with the most relevant contents. This is generally done through user's preferences/ratings acquired from log files of his former sessions. Besides these preferences, taking into account the interaction context of the user will improve the relevancy of recommendation process. In this paper, we propose a context-aware recommender system based on both user profile and context. The approach we present is based on a previous work on data personalization which leads to the definition of a Personalized Access Model that provides a set of personalization services. We show how these services can be deployed in order to provide advanced context-aware recommender systems.

Original languageEnglish
Publication statusPublished - 1 Dec 2009
Event3rd International Workshop on "Personalized Access, Profile Management, and Context Awareness in Databases", PersDB 2009 - In Conjunction with VLDB 2009 - Lyon, France
Duration: 28 Aug 200928 Aug 2009

Other

Other3rd International Workshop on "Personalized Access, Profile Management, and Context Awareness in Databases", PersDB 2009 - In Conjunction with VLDB 2009
CountryFrance
CityLyon
Period28/8/0928/8/09

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ASJC Scopus subject areas

  • Information Systems
  • Software

Cite this

Abbar, S., Bouzeghoub, M., & Lopez, S. (2009). Context-aware recommender systems: A service-oriented approach. Paper presented at 3rd International Workshop on "Personalized Access, Profile Management, and Context Awareness in Databases", PersDB 2009 - In Conjunction with VLDB 2009, Lyon, France.