Towards Leader Based Recommendations

Ilham Esslimani 1 Armelle Brun 2 Anne Boyer 2
1 KIWI - Knowledge Information and Web Intelligence
LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 KIWI - Knowledge Information and Web Intelligence
LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : The development of Internet and the success of Web 2.0 applications engendered the emergence of virtual communities. Analyzing information flows and discovering leaders through these communities becomes thus, a major challenge in different application areas. In this work, we present an algorithm that aims at detecting leaders through the use of implicit relationships with other users in behavioral networks in the context of recommender systems. This algorithm considers the high connectivity and the potentiality of propagating accurate appreciations so as to detect reliable leaders through these networks. This approach is evaluated in terms of precision using a real usage dataset. The results of the experimen- tation show the interest of our approach to exploit TopN leaders appreciations so as to generate accurate predictions through a behavioral network. Besides, our approach can be harnessed in different application areas caring about the role of leaders.
Type de document :
Chapitre d'ouvrage
Tansel Özyer, Jon Rokne, Gerhard Wagner, Arno H.P. Reuser. The Influence of Technology on Social Network Analysis and Mining, 6, Springer, pp.455-470, 2013
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https://hal.inria.fr/hal-00940600
Contributeur : Armelle Brun <>
Soumis le : dimanche 2 février 2014 - 08:34:24
Dernière modification le : mardi 24 avril 2018 - 13:09:12

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  • HAL Id : hal-00940600, version 1

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Ilham Esslimani, Armelle Brun, Anne Boyer. Towards Leader Based Recommendations. Tansel Özyer, Jon Rokne, Gerhard Wagner, Arno H.P. Reuser. The Influence of Technology on Social Network Analysis and Mining, 6, Springer, pp.455-470, 2013. 〈hal-00940600〉

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