Paper Info
Title
Constructing a Facet-Based and Personalized Just-in-Time Web Information Recommendation Application in a Multi-agent Environment
Abstract
High precision is vital to the success of just-in-time information retrieval system. This paper attempts to improve it from two aspects: better understanding the user’s current need and providing a highly relevant information source. For the former, an algorithm that can model a user’s need in current context based on his behavior automatically is proposed, and for the latter, a mechanism is provided for the user to choose the information source he need by organizing all Web resources involved in a faceted way. All the algorithms and functions are encapsulated in several agents to constitute a multi-agent just-in-time Web information recommending application that help people write, and all these agent are constructed and managed by a multi-agent system middleware named “MAGE”.
Year
DOI
Venue
2009
10.1109/CIT.2009.85
CIT (2)
Keywords
Field
DocType
middleware,multi agent systems,clustering algorithms,internet,entropy,web pages,information retrieval system,multi agent system,personalization,data mining,facet
Web resource,Middleware,World Wide Web,Web page,Computer science,Multi-agent system,Cluster analysis,Web information,The Internet,Personalization
Conference
Volume
Issue
Citations 
2
null
0
PageRank 
References 
Authors
0.34
6
2
Name
Order
Citations
PageRank
Kun Yang14712.60
Zhongzhi Shi22440238.03