Title :
Design of a Recommendation System Based on Top-k Query in a Pure P2P Environment
Author :
Gao, Ying ; Zhan, Jiang
Author_Institution :
Sch. of Inf., Capital Univ. of Econ. & Bus., Beijing, China
Abstract :
At present, most peer-to-peer file sharing systems provide file-mark-based searching function. In the paper, we offer a file recommendation system based on pure peer-to-peer system, use the TOPK method to find similar interest peers in a way to realize the interest-based self-adaptive adjustment of network topology, and exploits the recommendation information between users with similar interest to achieve the high-efficiency searching of files in the network.
Keywords :
peer-to-peer computing; query processing; recommender systems; topology; TOPK method; file recommendation system; file-mark-based searching function; high-efficiency searching; interest-based self-adaptive adjustment; network topology; peer-to-peer file sharing systems; pure P2P environment; top-k query method; Collaboration; Communities; Educational institutions; Filtering; Motion pictures; Network topology; Peer to peer computing; Interest community; P2P; collavorative filtering; recommendation systemt;
Conference_Titel :
Management of e-Commerce and e-Government (ICMeCG), 2012 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2943-9
DOI :
10.1109/ICMeCG.2012.58
