Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
Information storage and retrieval
Information storage and retrieval
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
Document filtering method using non-relevant information profile
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Web search behavior of Internet experts and newbies
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Information Retrieval and HyperText
Information Retrieval and HyperText
Modern Information Retrieval
A Taxonomy of Recommender Agents on theInternet
Artificial Intelligence Review
Personalizing search via automated analysis of interests and activities
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
An efficient collaborative information retrieval system by incorporating the user profile
AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
Proceedings of the 21st international conference companion on World Wide Web
Visualizing the relevance of social ties in user profile modeling
Web Intelligence and Agent Systems
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When searching information, any user has to face huge cognitive efforts to obtain accurate and relevant results. The search task includes a set of complementary sub-tasks in which the user needs to be necessarily involved. But, the real place of the users is not obvious without an effective knowledge of their context, environment, and so on. So we assume that a better knowledge of the user and of available information should make it possible to implement techniques aimed at adapting the retrieved information contents, as well as the search process itself. This personalization mainly relies on the definition of profiles. Since applications principally manage specific user/information profiles (structure and content), we propose in this paper a generic and a flexible profile model. This latter facilitates the construction and the interoperability of various profiles coming from different applications and/or having different structure/content. This paper presents the way the different resources (user, information...) can be modeled within the information search process and its related tasks. Then, we discuss the usefulness of profiles in such processes/tasks. Finally we present the generic and the flexible profile model we propose.