The existence of a vast amount of document collections both on-line or off-line leads to an overwhelming experience when users attempt to query them. This emphasises the need to develop collaborative approaches for acquiring data/knowledge from distributed and semantically heterogeneous sources of knowledge/information. Work on user preferences has recently acquired more attention in order to retrieve and rank documents which are relevant to the user’s interests. In this paper, we present a hierarchical modeling of a user’s interests/preferences. The proposed hierarchical structure results in a better semantic handling of the users’ interests and proper matching of documents over these nodes representing the user preferences. Our preliminar...
Abstract — While the growing number of learning resources increases the choice for learners on how, ...
Users rely increasingly on online reviews, forums and blogs to exchange information, practical tips,...
International audienceEver-increasing quantities of personal data are generated by individuals, know...
We present a new approach that makes use of the embedded structural information of the documents tha...
Search boxes providing simple keyword-based search are insufficient when users have complex informat...
Information Management AbstrAct: The goal of personalization in information retrieval is to tailor t...
Recommender systems assist users in finding what they want. The challenging issue is how to efficien...
We make use of preferences every day. When we shop for a book or choose a meal; when we select music...
To provide a more robust context for personalization, we desire to extract a continuum of general (l...
With the proliferation of documents on the Internet, it has become increasingly difficult for users ...
We present a novel method for instance comparison of ontological concepts with regard to personalize...
Abstract. Web search engines are usually designed to serve all users, without considering the intere...
This paper has not been submitted elsewhere in identical or similar form, nor will it be during the ...
I present a new information retrieval framework based on set-based preference learning that provides...
International audienceThe goal of personalization in information retrieval is to tailor the search e...
Abstract — While the growing number of learning resources increases the choice for learners on how, ...
Users rely increasingly on online reviews, forums and blogs to exchange information, practical tips,...
International audienceEver-increasing quantities of personal data are generated by individuals, know...
We present a new approach that makes use of the embedded structural information of the documents tha...
Search boxes providing simple keyword-based search are insufficient when users have complex informat...
Information Management AbstrAct: The goal of personalization in information retrieval is to tailor t...
Recommender systems assist users in finding what they want. The challenging issue is how to efficien...
We make use of preferences every day. When we shop for a book or choose a meal; when we select music...
To provide a more robust context for personalization, we desire to extract a continuum of general (l...
With the proliferation of documents on the Internet, it has become increasingly difficult for users ...
We present a novel method for instance comparison of ontological concepts with regard to personalize...
Abstract. Web search engines are usually designed to serve all users, without considering the intere...
This paper has not been submitted elsewhere in identical or similar form, nor will it be during the ...
I present a new information retrieval framework based on set-based preference learning that provides...
International audienceThe goal of personalization in information retrieval is to tailor the search e...
Abstract — While the growing number of learning resources increases the choice for learners on how, ...
Users rely increasingly on online reviews, forums and blogs to exchange information, practical tips,...
International audienceEver-increasing quantities of personal data are generated by individuals, know...