Abstract | ||
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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 |
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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 |
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Makoto Nakatsuji | 1 | 225 | 13.16 |
Makoto Yoshida | 2 | 16 | 0.97 |
Ishida, Toru | 3 | 3021 | 490.20 |