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Personalization through Query Explanation and Document Adaptation

Authore(s) : Anthony Ventresque1Sylvie Cazalens2Thomas Cerqueus2Philippe Lamarre2 and Gabriella Pasi3 || 1SCENanyang Technological UniversitySingapore 2LINAUniversit´e de NantesFrance 3DiSCoUniversit`a di Milano BicoccaItaly

Volume : (3), Issue : 211, February - 2019

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.

Article: Download PDF Journal DOI : 2364/2018

Cite This Article:

Personalization Document Adaptation

Vol.I (3), Issue.I 211


Article No : 10044


Number of Downloads : 100


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