Semantic Representation of a Geo-Social User Profile for a Personalised Information Retrieval

Tahar Rafa and Samir Kechid ()
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Tahar Rafa: Department of Mathematics and Computer Science, University of MEDEA, Algeria†LRIA Laboratory, Department of Computer Science, USTHB, Algiers, Algeria
Samir Kechid: #x2020;LRIA Laboratory, Department of Computer Science, USTHB, Algiers, Algeria

Journal of Information & Knowledge Management (JIKM), 2021, vol. 20, issue 04, 1-26

Abstract: The user-centred information retrieval needs to introduce semantics into the user modelling for a meaningful representation of user interests. The semantic representation of the user interests helps to improve the identification of the user’s future cognitive needs. In this paper, we present a semantic-based approach for a personalised information retrieval. This approach is based on the design and the exploitation of a user profile to represent the user and his interests. In this user profile, we combine an ontological semantics issued from WordNet ontology, and a personal semantics issued from the different user interactions with the search system and with his social and situational contexts of his previous searches. The personal semantics considers the co-occurrence relations between relevant components of the user profile as semantic links. The user profile is used to improve two important phases of the information search process: (i) expansion of the initial user query and (ii) adaptation of the search results to the user interests.

Keywords: Personalised information retrieval; semantic information retrieval; user profile; personal semantics; user interest modelling (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0219649221500441

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