User-Based Opinion-based Recommendation

Ruihai Dong, Barry Smyth

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Best Sister Conferences. Pages 4821-4825.

https://doi.org/10.24963/ijcai.2017/674

PDF BibTeX

Abstract

User-generated reviews are a plentiful source of user opinions and interests and can play an important role in a range of artificial intelligence contexts, particularly when it comes to recommender systems. In this paper, we describe how natural language processing and opinion mining techniques can be used to automatically mine useful recommendation knowledge from user generated reviews and how this information can be used by recommender systems in a number of classical settings.

Keywords

  • Artificial Intelligence: natural language processing
  • Artificial Intelligence: knowledge representation and reasoning
  • Artificial Intelligence: other
Welcome Future Conferences AI Journal Division IJCAI Proceedings Travel Grant Program IJCAI Awards