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Classification and Applications of Social Recommender Systems

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Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016) (SoCPaR 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 614))

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Abstract

The rapid growth of internet has paved the way for recommender systems as users are inundated with a variety of choices. A computer system that provides recommendations/suggestions to the users is called Recommender Systems (RS). These systems are a subclass of information filtering systems that provides suitable recommendations to users about a product, movie, song, mobile applications etc. RS are being widely used in social networking sites like Facebook, Twitter, LinkedIn etc. to help users choose product/friend/job from the various recommendations. These systems analyze patterns of user interest in posting information, sharing posts or joining a new group to provide personalized recommendations that suit user’s taste. RS are popular in many areas especially for predicting/suggesting what the users want in advance and thus help in reducing search costs. Recommendations are done using either collaborative, Content-based filtering or hybrid approach. Content-based recommendation system recommends based on user profile created by analyzing the items the user has liked/rated in the past. A collaborative recommendation system, on the other hand, does suggestions based on the preferences/ratings of our previous collaborators (users whose liking was similar to ours). The popularity of social networking sites is increasing with more number of users being added daily. This paper discusses the various classification and applications of RS in some of the popular networking sites.

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Authors and Affiliations

  1. School of Computing Sciences, Hindustan Institute of Technology and Science, Chennai, India

    V. R. Revathy & Anitha S. Pillai

Authors
  1. V. R. Revathy
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  2. Anitha S. Pillai
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Correspondence to Anitha S. Pillai .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  2. VIT University, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. School of Engineering, Polytechnic of Porto (ISEP/IPP), Porto, Portugal

    Ana Maria Madureira

  4. Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia

    Azah Kamilah Muda

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Revathy, V.R., Pillai, A.S. (2018). Classification and Applications of Social Recommender Systems. In: Abraham, A., Cherukuri, A., Madureira, A., Muda, A. (eds) Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016). SoCPaR 2016. Advances in Intelligent Systems and Computing, vol 614. Springer, Cham. https://doi.org/10.1007/978-3-319-60618-7_70

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  • DOI: https://doi.org/10.1007/978-3-319-60618-7_70

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60617-0

  • Online ISBN: 978-3-319-60618-7

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