Abstract
Nowadays, web content consumers may face choice overload with regard to the huge amount of resources available on services or content providers' platforms. Moreover, the available descriptions of such goods may be complex and ambiguous which requires assisting users while exploring the available content and finding the right resources with regard to each individual's personal needs and tastes. Such challenges are tackled mainly by personalisation and recommendation approaches. In this paper, we present a hybrid context-aware personalisation architecture integrating an information search and a recommendation approach. The main objective here is to facilitate the access to relevant content depending on users' contextual objectives and needs. The proposed architecture was evaluated on the INEX 2013 Social Book Search collection whose main challenge is to satisfy users' requests with the most interesting books.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Metadata, Semantics and Ontologies
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
