Time-aware Collaborative Filtering with the Piecewise Decay Function

Computer Science – Information Retrieval

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

4 pages. 1 figure

Scientific paper

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.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Time-aware Collaborative Filtering with the Piecewise Decay Function does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Time-aware Collaborative Filtering with the Piecewise Decay Function, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Time-aware Collaborative Filtering with the Piecewise Decay Function will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-269592

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.