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Recommender Systems Using Social Network Analysis: Challenges and Future Trends

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Encyclopedia of Social Network Analysis and Mining

Synonyms

Collaborative filtering; Content-based filtering; Information filtering; Recommendation system; Recommender engine; Recommender platform

Glossary

Online Social Networking Services (OSNS) Web platform having as a goal to build social connections among people who share similar interests or relationships of any kind

Recommender System (RS) Special type of information filtering system that provides a prediction that assists the user in evaluating items from a large collection that the user is likely to find interesting or useful

Status Update (Micropost) Short message, shared in an online social platform, expressing an activity, state of mind, or opinion

Definition

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...

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Authors and Affiliations

  1. Univ. Lyon, UJM-Saint-Etienne,CNRS, Laboratoire Hubert Curien UMR 5516, F-42023, Saint Etienne, France

    Fabrice Muhlenbach, Christine Largeron & Johann Stan

Authors
  1. Fabrice Muhlenbach
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  2. Christine Largeron
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  3. Johann Stan
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Corresponding author

Correspondence to Fabrice Muhlenbach .

Editor information

Editors and Affiliations

  1. Computer Science, University of Calgary, Calgary, Alberta, Canada

    Reda Alhajj

  2. University of Calgary Computer Science, Calgary, Canada

    Jon Rokne

Section Editor information

  1. Yahoo Inc, London, UK

    Fabrizio Silvestri

  2. University of Calabria, Via Pietro Bucci, 42C, 87036, Arcavacata di Rende, Italy

    Andrea Tagarelli

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Muhlenbach, F., Largeron, C., Stan, J. (2017). Recommender Systems Using Social Network Analysis: Challenges and Future Trends. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7163-9_35-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7163-9_35-1

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  • Print ISBN: 978-1-4614-7163-9

  • Online ISBN: 978-1-4614-7163-9

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