Leveraging User Interest to Improve Thread Recommendation in Online Forum

@article{Tang2013LeveragingUI,
  title={Leveraging User Interest to Improve Thread Recommendation in Online Forum},
  author={Xuning Tang and Mi Zhang and Christopher C. Yang},
  journal={2013 International Conference on Social Intelligence and Technology},
  year={2013},
  pages={11-19}
}
Nowadays thread recommendation is considered to be beneficial to improve the end-user stickiness of an online forum. Given the fact of information overload and the diverse interests of forum users, a recommender system in online forum can satisfy not only forum users' information needs by directing them to what they might be interested in, but also their social needs by connecting them to their friends. Some traditional recommender systems rely on a bipartite graph model to capture users… CONTINUE READING
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