Go home now Header Background Image
Search
Submission Procedure
share: |
 
Follow us
 
 
 
 
Volume 11 / Issue 11

available in:   PDF (132 kB) PS (259 kB)
 
get:  
Similar Docs BibTeX   Write a comment
  
get:  
Links into Future
 
DOI:   10.3217/jucs-011-11-1780

 

Visualizing Recommendation Flow on Social Network

Jason J. Jung (INRIA Rhone-Alpes, France)

Abstract: In contrast with centralized recommender systems, social recommendation algorithm is applied to the item rating data on social networks. Meaningful recommendation can be uncovered by the topology of social network as well as the similarity between users. More importantly, this information becomes propagated into the users in the estimated same groups. As the goal of this paper, we propose a novel method for visual explanation of the recommender system on social network. For experiments, we simulate the recommendation flow by using the MovieLens dataset on a social network constructed with FOAF.

Keywords: reputation, social network, visualizing information flow

Categories: H.5, J.4