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Social Network Analysis and Mining

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01.12.2018 | Original Article

Multidimensional user profile construction for Web services selection: social networks case study

verfasst von: Ilhem Feddaoui, Faîçal Felhi, Jalel Akaichi

Erschienen in: Social Network Analysis and Mining | Ausgabe 1/2018

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Abstract

The database diversity and heterogeneity render the information discovery process a difficult and complex task. Vocabulary problems can make search results from traditional search engines irrelevant to users. For effective research, better knowledge of user behavior is important because users can participate in research design and construction. User profile has an important role in Web service selection, as it gives us a general overview of Web service requester. It is used in search engines so as to help to deliver with appropriate information to user’s preferences, interests, or profile. In this paper, we present two points, namely (1) multidimensional user profile construction and (2) benefit of information stored in the user profile for Web service extraction, applied in social networks. The experiment shows that our method can recommend the needed Web services in a faster time and with significantly precision.

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Titel: Multidimensional user profile construction for Web services selection: social networks case study
verfasst von: Ilhem Feddaoui
Faîçal Felhi
Jalel Akaichi
Publikationsdatum: 01.12.2018
Verlag: Springer Vienna
Erschienen in: Social Network Analysis and Mining / Ausgabe 1/2018
Print ISSN: 1869-5450
Elektronische ISSN: 1869-5469
DOI: https://doi.org/10.1007/s13278-018-0485-2

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