An improved HeatS+ProbS hybrid recommendation algorithm based on heterogeneous initial resource configurations

Details An improved HeatS+ProbS hybrid recommendation algorithm based on heterogeneous initial resource configurations An improved HeatS+ProbS hybrid recommendation algorithm based on heterogeneous initial resource configurations

2010-05-18

arxiv.org/abs/1005.3124v2

Physics

Physics and Society

6 pages 3 figures

Scientific paper

Network-based recommendation algorithms for user-object link predictions have achieved significant developments in recent years. For bipartite graphs, the reallocation of resource in such algorithms is analogous to heat spreading (HeatS) or probability spreading (ProbS) processes. The best algorithm to date is a hybrid of the HeatS and ProbS techniques with homogenous initial resource configurations, which fulfills simultaneously high accuracy and large diversity. We investigate the effect of heterogeneity in initial configurations on the HeatS+ProbS hybrid algorithm and find that both recommendation accuracy and diversity can be further improved in this new setting. Numerical experiments show that the improvement is robust.

Affiliated with

Also associated with

No associations

Rating

An improved HeatS+ProbS hybrid recommendation algorithm based on heterogeneous initial resource configurations 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 An improved HeatS+ProbS hybrid recommendation algorithm based on heterogeneous initial resource configurations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An improved HeatS+ProbS hybrid recommendation algorithm based on heterogeneous initial resource configurations will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-57714