Event Recommendation in Event-Based Social Networks


  • Zhi Qiao Chinese Academy of Sciences
  • Peng Zhang Chinese Academy of Sciences
  • Chuan Zhou Chinese Academy of Sciences
  • Yanan Cao Chinese Academy of Sciences
  • Li Guo Chinese Academy of Sciences
  • Yanchuan Zhang Victoria University




event recommendation


With the rapid growth of event-based social networks, the demand of event recommendation becomes increasingly important. Different from classic recommendation problems, event recommendation generally faces the problems of heterogenous online and offline social relationships among users and implicit feedback data. In this paper, we present a baysian probability model that can fully unleash the power of heterogenous social relations and efficiently tackle with implicit feedback characteristic for event recommendation. Experimental results on several real-world datasets demonstrate the utility of our method.




How to Cite

Qiao, Z., Zhang, P., Zhou, C., Cao, Y., Guo, L., & Zhang, Y. (2014). Event Recommendation in Event-Based Social Networks. Proceedings of the AAAI Conference on Artificial Intelligence, 28(1). https://doi.org/10.1609/aaai.v28i1.9095