A Keyword-Based Model of Similarity Measurement on Peer Groups in Peer-to-Peer Networks
Meng Xiang-wu · Journal of Wuhan University · 2011
To improve search efficiency in Content Delivery Network based on peer-to-peer,users weredivided into peer groups.The concept of peer group was discussed and a keyword-based method of measur-ing similarity between peer groups was proposed.When none of peers could provide the results for a re-quest,another peer group having higher similarity degree with it would be searched to meet the requestsoon.In the model,similarity degree of each peer in the two peer groups was first calculated according tothe keywords in each document,and then the similarity degree between the two peer groups was deter-mined based on the amount of the similar pairs and similarity degree.Experiments demonstrated that theproposed model got closer results with the actual situation than traditional SVM model.