Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
THESUS: Organizing Web document collections based on link semantics
The VLDB Journal — The International Journal on Very Large Data Bases
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
THESUS, a Closer View on Web Content Management Enhanced with Link Semantics
IEEE Transactions on Knowledge and Data Engineering
The adaptive web: methods and strategies of web personalization
The adaptive web: methods and strategies of web personalization
Data mining for web personalization
The adaptive web
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The glitch of providing recommendations to the visitors of a web site has received a significant amount of attention in recent years. To address this requirement, web sites provide personalized recommendations to the end users. When a personalization system relies solely on usage-based results, however, valuable information conceptually related to what is finally recommended may be missed. Moreover, the structural properties of the web site are often disregarded. So such a personalization system is required that integrates usage data with content semantics, expressed in ontology terms, in order to compute semantically enhanced navigational patterns and effectively generate useful recommendations. In this paper we propose novel techniques that use the content semantics and the structural properties of a web site in order to improve the effectiveness of web personalization. We aim to present SWP (Semantic Web Personalization), a personalization system that integrates usage data with content semantics, expressed in ontology terms, in order to compute semantically enhanced navigational patterns and effectively generate useful recommendations.