Recommender systems in social networks

Authors

  • Cleomar Valois B. Jr Centro Universitário da Cidade do Rio de Janeiro
  • Marcius Armada de Oliveira Centro Universitário da Cidade do Rio de Janeiro

DOI:

https://doi.org/10.4301/S1807-17752011000300009

Keywords:

Recommender Systems, Social Networks

Abstract

The continued and diversified growth of social networks has changed the way in which users interact with them. With these changes, what once was limited to social contact is now used for exchanging ideas and opinions, creating the need for new features. Users have so much information at their fingertips that they are unable to process it by themselves; hence, the need to develop new tools. Recommender systems were developed to address this need and many techniques were used for different approaches to the problem. To make relevant recommendations, these systems use large sets of data, not taking the social network of the user into consideration. Developing a recommender system that takes into account the social network of the user is another way of tackling the problem. The purpose of this project is to use the theory of six degrees of separation (Watts 2003) amongst users of a social network to enhance existing recommender systems.

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Published

2011-12-01

How to Cite

Valois B. Jr, C., & Oliveira, M. A. de. (2011). Recommender systems in social networks . JISTEM - Journal of Information Systems and Technology Management (Online), 8(3), 681-716. https://doi.org/10.4301/S1807-17752011000300009

Issue

Section

nd2118520826