Context-aware recommender systems

A service-oriented approach

Sofiane Abbar, Mokrane Bouzeghoub, Stéphane Lopez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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
Title of host publication3rd International Workshop on "Personalized Access, Profile Management, and Context Awareness in Databases", PersDB 2009 - In Conjunction with VLDB 2009
Publication statusPublished - 1 Dec 2009
Externally publishedYes
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

Fingerprint

Recommender systems

ASJC Scopus subject areas

  • Information Systems
  • Software

Cite this

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

Context-aware recommender systems : A service-oriented approach. / Abbar, Sofiane; Bouzeghoub, Mokrane; Lopez, Stéphane.

3rd International Workshop on "Personalized Access, Profile Management, and Context Awareness in Databases", PersDB 2009 - In Conjunction with VLDB 2009. 2009.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abbar, S, Bouzeghoub, M & Lopez, S 2009, Context-aware recommender systems: A service-oriented approach. in 3rd International Workshop on "Personalized Access, Profile Management, and Context Awareness in Databases", PersDB 2009 - In Conjunction with VLDB 2009. 3rd International Workshop on "Personalized Access, Profile Management, and Context Awareness in Databases", PersDB 2009 - In Conjunction with VLDB 2009, Lyon, France, 28/8/09.
Abbar S, Bouzeghoub M, Lopez S. Context-aware recommender systems: A service-oriented approach. In 3rd International Workshop on "Personalized Access, Profile Management, and Context Awareness in Databases", PersDB 2009 - In Conjunction with VLDB 2009. 2009
Abbar, Sofiane ; Bouzeghoub, Mokrane ; Lopez, Stéphane. / Context-aware recommender systems : A service-oriented approach. 3rd International Workshop on "Personalized Access, Profile Management, and Context Awareness in Databases", PersDB 2009 - In Conjunction with VLDB 2009. 2009.
@inproceedings{7de4dd321fa046aa83b726389e33feb3,
title = "Context-aware recommender systems: A service-oriented approach",
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.",
author = "Sofiane Abbar and Mokrane Bouzeghoub and St{\'e}phane Lopez",
year = "2009",
month = "12",
day = "1",
language = "English",
booktitle = "3rd International Workshop on {"}Personalized Access, Profile Management, and Context Awareness in Databases{"}, PersDB 2009 - In Conjunction with VLDB 2009",

}

TY - GEN

T1 - Context-aware recommender systems

T2 - A service-oriented approach

AU - Abbar, Sofiane

AU - Bouzeghoub, Mokrane

AU - Lopez, Stéphane

PY - 2009/12/1

Y1 - 2009/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84882959520&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84882959520&partnerID=8YFLogxK

M3 - Conference contribution

BT - 3rd International Workshop on "Personalized Access, Profile Management, and Context Awareness in Databases", PersDB 2009 - In Conjunction with VLDB 2009

ER -