Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Personalization on the Net using Web mining: introduction
Communications of the ACM
Digital signatures with RSA and other public-key cryptosystems
Communications of the ACM
JXTA: Java P2P Programming
Web mining for web personalization
ACM Transactions on Internet Technology (TOIT)
Make it fresh, make it quick: searching a network of personal webservers
WWW '03 Proceedings of the 12th international conference on World Wide Web
Journal of Web Engineering
Personalized peer filtering for a dynamic information push
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Hi-index | 0.01 |
Information acquisition is a great challenge in the context of a continually growing Web. Nowadays, large Web search engines are primarily designed to assist an information pull by the user. On this platform, only actual information needs are handled without assistance of long-term needs. To overcome these shortcomings we propose a cooperative system for information pull and push on a peer-to-peer architecture. In this paper we present a hybrid network for a collaborative search environment, based on a local personalization strategy on each peer, and a highly-available Web search service (e.g. Google). Each peer participates in the Pull-Push Cycle, and has the function of an information consumer as well as an information provider. Hence, long-term information needs can be identified without any context restrictions, and recommendations are computed based on Virtual Knowledge Communities.