Title :
Coopeer: a peer-to-peer Web search engine towards collaboration, humanization and personalization
Author :
Zhou, Jin ; Li, Kai ; Tang, Li
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
Most centralized Web search engines currently become harder to catch up with the growing step of people´s information need. Here, we present a fully distributed, collaborative peer-to-peer Web search engine named Coopeer. The goal of the work is to complement centralized search engines to provide more humanized and personalized results by utilizing users´ collaboration. Towards this goal, three main ideas are introduced: (a) PeerRank to use cooperation among users for evaluation, (b) query-based representation to obtain more humanized description about documents, and (c) semantic routing algorithm to obtain user-customized results.
Keywords :
Internet; query formulation; search engines; telecommunication network routing; Coopeer; humanization; peer-to-peer Web search engine; personalization; query-based representation; semantic routing algorithm; users collaboration; Automation; Collaboration; Collaborative work; Humans; Peer to peer computing; Proposals; Routing; Search engines; Web pages; Web search;
Conference_Titel :
Performance, Computing, and Communications, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8396-6
DOI :
10.1109/PCCC.2004.1395013