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The Proceedings of the Third International Conference on Smart City Applications

SCA 2018: Innovations in Smart Cities Applications Edition 2 pp 522–534Cite as

A Semantic Method to Extract the User Interest Center

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Abstract

With the evolution of information systems and the large mass of heterogeneous data on the web, problems such as cognitive overload and disorientation (Conklin and Begeman in GIBIS a hypertext tool for team design deliberation, pp. 247–251, [1]) are starting to appear, and to overcome them several techniques have been invented to customize the information system, in order to improve search engine performance as well as recommendation engines. (Zeng et al. in Temporal User Profile Based Recommender System. Artificial Intelligence and Soft Computing. ICAISC 2018, [2], Su et al. in Music Recommendation Based on Information of User Profiles, Music Genres and User Ratings. Intelligent Information and Database Systems. ACIIDS 2018, [3]) have shown that the best techniques to provide relevant results to the specific needs of the user are based on the use of user profiles and more specifically its interests. Generally the selection of interesting documents to a user is done on the basis of his area of interest, inferred from the information about the user or his user profile. Thus the calculation of the interest center is one of the essential elements for a relevant research. In this article we will introduce a new method of extracting the user’s interests from his knowledge, based on the structure of an ontology to deduce the user’s interest’s center, taking into account the semantic links between the graph’s concepts.

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Notes

  1. 1.

    www.yahoo.com.

  2. 2.

    www.lycos.com.

  3. 3.

    www.dmoz-odp.org.

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Author information

Authors and Affiliations

  1. Laboratory of Technological Information and Modeling, Faculty of Sciences Ben M’sick, University Hassan II, Casablanca, Morocco

    Ibtissam El Achkar, Amine Labriji & Labriji El Houssine

Authors
  1. Ibtissam El Achkar
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  2. Amine Labriji
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  3. Labriji El Houssine
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Correspondence to Ibtissam El Achkar .

Editor information

Editors and Affiliations

  1. Association Méditerranéenne des Sciences et Technologies, Tangier, Morocco

    Mohamed Ben Ahmed

  2. Association Méditerranéenne des Sciences et Technologies, Tangier, Morocco

    Anouar Abdelhakim Boudhir

  3. Faculty of Sciences, Présidence UAE, Tétouan, Morocco

    Ali Younes

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El Achkar, I., Labriji, A., El Houssine, L. (2019). A Semantic Method to Extract the User Interest Center. In: Ben Ahmed, M., Boudhir, A., Younes, A. (eds) Innovations in Smart Cities Applications Edition 2. SCA 2018. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-030-11196-0_44

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