Title
Detecting innovative topics based on user-interest ontology
Abstract
In this paper, we detect ''innovative topics'', those that are new and hopefully interesting to the user. We try to expand user interests significantly by letting the user browse those topics. We first generate user-interest ontologies that allow user profiles to be constructed as a hierarchy of classes where a user interest weight is assigned to each class and instance. Next, we measure the similarity between user interests by using interest weights on their user-interest ontologies and generate user group G"U that has high similarity to user u. The innovative topics for u are then detected by determining a suitable size of G"U and analyzing the ontologies in G"U.
Year
DOI
Venue
2009
10.1016/j.websem.2009.01.001
J. Web Sem.
Keywords
Field
DocType
interest weight,user-interest ontology,user profile,user group g,user interest,innovative topic,user interest weight,user browse,detecting innovative topics,high similarity,measuring similarity between ontologies,user u
Ontology (information science),Data mining,Ontology,World Wide Web,Information retrieval,Computer science,User modeling,Hierarchy
Journal
Volume
Issue
ISSN
7
2
Web Semantics: Science, Services and Agents on the World Wide Web
Citations 
PageRank 
References 
16
0.97
13
Authors
3
Name
Order
Citations
PageRank
Makoto Nakatsuji122513.16
Makoto Yoshida2160.97
Ishida, Toru33021490.20