Contextual Operation

  • Shu WuEmail author
  • Qiang Liu
  • Liang Wang
  • Tieniu Tan
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)


Motivated by recent works of natural language processing, this chapter introduces the concept of contextual operation for context-aware modeling. This operation represents each context value with a latent vector and models the contextual information as a semantic operation on the user and item. Besides, the contextual operating tensor is used to capture the common semantic effects of contexts. This chapter introduces notations and fundamental concepts of context representation, and then thoroughly presents the contextual operating tensor (COT) model. Finally, the process of parameter inference and the optimization algorithm is discussed.


  1. 1.
    Wu, S., Liu, Q., Wang, L., Tan, T.: Contextual operation for recommender systems. IEEE TKDE 28, 2000–2012 (2016)Google Scholar
  2. 2.
    Koren, Y., Bell, R.: Advances in collaborative filtering. In: Recommender Systems Handbook, pp. 145–186. Springer, Berlin (2011)Google Scholar
  3. 3.
    Koren, Y., Bell, R., Volinsky, C.: Matrix factorization techniques for recommender systems. Computer 42(8), 30–37 (2009)Google Scholar

Copyright information

© The Author(s) 2017

Authors and Affiliations

  1. 1.National Laboratory of Pattern Recognition, Institute of AutomationChinese Academy of SciencesBeijingChina

Personalised recommendations