A Novel Bayesian Similarity Measure for Recommender Systems

Guo, Guibing; Zhang, Jie; Yorke-Smith, Neil

A Novel Bayesian Similarity Measure for Recommender Systems

Guibing Guo, Jie Zhang, Neil Yorke-Smith

Download BibTeX Cite

Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 2619-2624.

Abstract

Collaborative filtering, a widely-used user-centric recommendation technique, predicts an item's rating by aggregating its ratings from similar users. User similarity is usually calculated by cosine similarity or Pearson correlation coefficient. However, both of them consider only the direction of rating vectors, and suffer from a range of drawbacks. To solve these issues, we propose a novel Bayesian similarity measure based on the Dirichlet distribution, taking into consideration both the direction and length of rating vectors. Further, our principled method reduces correlation due to chance. Experimental results on six real-world data sets show that our method achieves superior accuracy.

Guibing Guo, Jie Zhang, and Neil Yorke-Smith. 2013. A Novel Bayesian Similarity Measure for Recommender Systems. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13. IJCAI, 2619–2624. https://ijcai.org/proceedings/2013/386

@inproceedings{ijcai2013p386,
  title     = {A Novel Bayesian Similarity Measure for Recommender Systems},
  author    = {Guo, Guibing and Zhang, Jie and Yorke-Smith, Neil},
  booktitle = {Proceedings of the Twenty-Third International Joint Conference on
               Artificial Intelligence, {IJCAI-13}},
  publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
  editor    = {Francesca Rossi},
  pages     = {2619--2624},
  year      = {2013},
  month     = {8},
  url       = {https://ijcai.org/proceedings/2013/386},
}

TY  - CPAPER
TI  - A Novel Bayesian Similarity Measure for Recommender Systems
AU  - Guo, Guibing
AU  - Zhang, Jie
AU  - Yorke-Smith, Neil
T2  - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13
PB  - AAAI Press / International Joint Conferences on Artificial Intelligence
PY  - 2013
SP  - 2619
EP  - 2624
UR  - https://ijcai.org/proceedings/2013/386
ER  -