Personalization through Query Explanation and Document Adaptation
Anthony Ventresque1Sylvie Cazalens2Thomas Cerqueus2Philippe Lamarre2 and Gabriella Pasi3 || 1SCENanyang Technological UniversitySingapore 2LINAUniversit´e de NantesFrance 3DiSCoUniversit`a di Milano BicoccaItaly
Volume : (3), Issue : 211, November - 2018
Abstract : We present a new formal approach to retrieval personalization which emcompasses a query personalization process at the user’s side with a light document adaptation at the information server’s side. Our solution relies on the use of a domain ontology: queries and documents are in fact indexed by sets of concepts. For each concept of the query, the query personalization process allows to express the importance of linked concepts, which may vary according to the search context. Each query concept can be ”clariﬁed” by this process; although the proposed method clariﬁes only central query concepts. The initial query as well as its deﬁned clariﬁcations are sent to the server. Then, the server reconsiders its document representations based on both the query and the concepts clariﬁcations it received. The proposed solution does not require that the information server maintains any user proﬁle, and can be useful when, for privacy concerns, it is committed not to proﬁling the users.
Keywords :Query Explanation, Document Adaptation, Similarity and Propagation, Semantic Vector Space.
Cite This Article:
Personalization Document Adaptation
Article No : 10044
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