Streaming Recommender Systems

  • Journal/Conference Proceedings
    Proceedings of the 26th International World Wide Web Conference (WWW 2017), Perth, Australia
  • Publication Time
    Apr. 2017
  • Authors
    Chang, Shiyu, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, and Thomas S. Huang.
We investigate the problem of recommendation with stream inputs. In particular, we provide a principled framework termed sRec, which provides explicit continuous-time random process models of the creation of users and topics, and of the evolution of their interests. A variational Bayesian approach called recursive meanfield approximation is proposed, which permits computationally efficient instantaneous on-line inference.