Paper Info
Title
Link Recommendation Method Based on Web Content and Usage Mining
Abstract
Hyperlink recommendation overcomes the problem of quick and easy access to information in web systems. A method that integrates web usage and content mining was proposed and examined in this paper. Potentially interesting documents are prompted to the user on the basis of usage patterns and conceptual spaces matched against the active user session. Automatic term selections and web usage distinction according to the time of visit were introduced to enhance method effectiveness.
Year
Venue
Field
2003
INTELLIGENT INFORMATION PROCESSING AND WEB MINING
Web development,Web design,Data mining,World Wide Web,Web mining,Web page,Information retrieval,Web analytics,Computer science,Web modeling,Web navigation,Web service
DocType
ISSN
Citations 
Conference
1615-3871
13
PageRank 
References 
Authors
0.94
6
2
Name
Order
Citations
PageRank
Przemyslaw Kazienko164063.34
Maciej Kiewra2466.14