Social Relations Model for Collaborative Filtering

AAAI 2011 pp. 803-808

doi:10.1609/AAAI.V25I1.7948 /aaai/2011/li2011aaai-social/

Abstract

We propose a novel probabilistic model for collaborative filtering (CF), called SRMCoFi, which seamlessly integrates both linear and bilinear random effects into a principled framework. The formulation of SRMCoFi is supported by both social psychological experiments and statistical theories. Not only can many existing CF methods be seen as special cases of SRMCoFi, but it also integrates their advantages while simultaneously overcoming their disadvantages. The solid theoretical foundation of SRMCoFi is further supported by promising empirical results obtained in extensive experiments using real CF data sets on movie ratings.

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Cite

Text

Li and Yeung. "Social Relations Model for Collaborative Filtering." AAAI Conference on Artificial Intelligence, 2011. doi:10.1609/AAAI.V25I1.7948

Markdown

[Li and Yeung. "Social Relations Model for Collaborative Filtering." AAAI Conference on Artificial Intelligence, 2011.](https://mlanthology.org/aaai/2011/li2011aaai-social/) doi:10.1609/AAAI.V25I1.7948

BibTeX

@inproceedings{li2011aaai-social,
  title     = {{Social Relations Model for Collaborative Filtering}},
  author    = {Li, Wu-Jun and Yeung, Dit-Yan},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2011},
  pages     = {803-808},
  doi       = {10.1609/AAAI.V25I1.7948},
  url       = {https://mlanthology.org/aaai/2011/li2011aaai-social/}
}