Social network and user context assisted personalization for recommender systems

  title={Social network and user context assisted personalization for recommender systems},
  author={Afsana Akther and Kazi Masudul Alam and Heung-Nam Kim and Abdulmotaleb El Saddik},
  journal={2012 International Conference on Innovations in Information Technology (IIT)},
In recommender systems, social networks are considered as a trusted source for user interests. In addition, user context can enhance users' decision making. In this paper, we design a new architecture for user personalization which combines both social network data and context data. Our system aggregates a user's preference data from various social networking services and then builds a centralized user profile which is accessible through public Web services. We also collect user's contextual… CONTINUE READING


Publications referenced by this paper.
Showing 1-10 of 13 references

Design of a Social Network Based Recommender System for Participatory Media Content

  • A. Seth
  • Ph.D. thesis manuscript,
  • 2008
1 Excerpt

A Model of a Trust-based Recommendation System on a Social Network", Autonomous Agents and Multi-Agent Systems, Springer, Volume: 16, Issue: 1, Page(s): 57-74

  • E. Frank, F.E.Walter, S. Battiston, F. Schweitzer
  • 2007
2 Excerpts

Similar Papers

Loading similar papers…