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Context-Aware Recommender Systems: A Service-Oriented Approach

Context-Aware Recommender Systems: A Service-Oriented Approach,Sofiane Abbar,Mokrane Bouzeghoub,Stéphane Lopez

Context-Aware Recommender Systems: A Service-Oriented Approach   (Citations: 7)
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Recommender systems are ecient 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 les of his former ses- sions. 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 pro- le and context. The approach we present is based on a previous work on data personalization which leads to the denition 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.
Conference: Very Large Data Bases - VLDB , 2009
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    • ...Finally, another model-based approach is presented in [1] where a Personalized...
    • ...Then Abbar et al. [1] describe how these services can be combined to form Context-Aware Recommender Systems (CARS) and deployed in order to provide superior context-aware recommendations...
    • ...Another example of such work is Abbar et al. [1], where the authors present a service-oriented approach that implements the Personalized Access Model (PAM) previously proposed by the authors...
    • ...The implementation is done using global software architecture of CARS developed by the authors and described in [1]...

    Gediminas Adomaviciuset al. Context-Aware Recommender Systems

    • ...In [5], the authors take the view that user’s rating of content is based on two factors: the user’s profile and the context...

    Debnath Mukherjeeet al. A context-aware recommendation system considering both user preference...

    • ...There have been numbers of research on context-aware recommendation systems [2, 9-15] that using contextual attributes and combining implicit/explicit user preference for 2010 Second International Conference on Computational Intelligence, Communication Systems and Networks...
    • ...CARS [12] considered to implement a service-oriented P2P environment that made use of discovery function and nearest-neighbours algorithm...

    Kam Fung Yeunget al. Context-Aware News Recommender in Mobile Hybrid P2P Network

    • ...Many studies have been conducted on providing context-aware information services such as personalized news articles to users [1-4]...
    • ...There have been numbers of researches on contextaware news recommender systems [3, 6-9] that used contextual attributes and combined implicit/explicit user preference for making recommendations...
    • ...CARS [3] considered to implement a serviceoriented P2P environment that made use of discovery function and nearest-neighbours algorithm...

    Kam Fung Yeunget al. A Proactive Personalized Mobile News Recommendation System

    • ...As discussed in [1], a better recommender system is the one which delivers recommendations that best match with users’ preferences, needs and hopes at the right moment, in the right place and on the right media...
    • ...Abbar et al. [1] illustrate a service-oriented approach to context-aware recommender systems...

    Yan Tanget al. DIY-CDR: an ontology-based, Do-It-Yourself component discoverer and re...

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