Information filtering based on transferring similarity

Details Information filtering based on transferring similarity Information filtering based on transferring similarity

2008-07-28

arxiv.org/abs/0807.4495v2

Physical Review E 80, 017101 (2009)

Physics

Data Analysis, Statistics and Probability

4 pages, 4 figures

Scientific paper

10.1103/PhysRevE.80.017101

In this Brief Report, we propose a new index of user similarity, namely the transferring similarity, which involves all high-order similarities between users. Accordingly, we design a modified collaborative filtering algorithm, which provides remarkably higher accurate predictions than the standard collaborative filtering. More interestingly, we find that the algorithmic performance will approach its optimal value when the parameter, contained in the definition of transferring similarity, gets close to its critical value, before which the series expansion of transferring similarity is convergent and after which it is divergent. Our study is complementary to the one reported in [E. A. Leicht, P. Holme, and M. E. J. Newman, Phys. Rev. E {\bf 73} 026120 (2006)], and is relevant to the missing link prediction problem.

Affiliated with

Also associated with

No associations

Rating

Information filtering based on transferring similarity 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 Information filtering based on transferring similarity, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Information filtering based on transferring similarity will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-313605