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Time-aware Collaborative Filtering with the Piecewise Decay Function

Authors
  • Wu, Pei
  • Yeung, Chi Ho
  • Liu, Weiping
  • Jin, Cihang
  • Zhang, Yi-Cheng
Type
Preprint
Publication Date
Oct 19, 2010
Submission Date
Oct 19, 2010
Identifiers
arXiv ID: 1010.3988
Source
arXiv
License
Yellow
External links

Abstract

In this paper, we determine the appropriate decay function for item-based collaborative filtering (CF). Instead of intuitive deduction, we introduce the Similarity-Signal-to-Noise-Ratio (SSNR) to quantify the impacts of rated items on current recommendations. By measuring the variation of SSNR over time, drift in user interest is well visualized and quantified. Based on the trend changes of SSNR, the piecewise decay function is thus devised and incorporated to build our time-aware CF algorithm. Experiments show that the proposed algorithm strongly outperforms the conventional item-based CF algorithm and other time-aware algorithms with various decay functions.

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