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Chapitre D'ouvrage Année : 2014

Recommender Systems using Social Network Analysis: Challenges and Future Trends

Résumé

Recommender systems (RSs) are software tools and techniques dedicated to generate meaningful suggestions about new items (products and services) for particular customers (the users of the RS). These recommendations will help the users to make decisions in multiple contexts, such as what items to buy, what music to listen to, what online news to read [19], or, in the social network domain, which user to connect to or which users to consider as a trustful adviser.
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Dates et versions

hal-00971351 , version 1 (02-04-2014)

Identifiants

  • HAL Id : hal-00971351 , version 1

Citer

Johann Stan, Fabrice Muhlenbach, Christine Largeron. Recommender Systems using Social Network Analysis: Challenges and Future Trends. Alhajj, Reda, and Rokne, Jon. Encyclopedia of Social Network Analysis and Mining, Springer, pp.1-22, 2014, 978-1-4614-6171-5. ⟨hal-00971351⟩
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