The World-Wide Web: quagmire or gold mine?
Communications of the ACM
Data mining and the Web: past, present and future
Proceedings of the 2nd international workshop on Web information and data management
Ontology Learning for the Semantic Web
Ontology Learning for the Semantic Web
Ontology-Based Web Mining Model: Representations of User Profiles
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Automatic Pattern-Taxonomy Extraction for Web Mining
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Mining Ontology for Automatically Acquiring Web User Information Needs
IEEE Transactions on Knowledge and Data Engineering
Relevence Assessment of Topic Ontology
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
Personalization algorithms for portable personality
Proceedings of the 12th international conference on Entertainment and media in the ubiquitous era
Argo: intelligent advertising by mining a user's interest from his photo collections
Proceedings of the Third International Workshop on Data Mining and Audience Intelligence for Advertising
Ontology based web mining for information gathering
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
A two-stage decision model for information filtering
Decision Support Systems
Ontology-based user profile learning
Applied Intelligence
Personalized celebrity video search based on cross-space mining
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Exploiting content relevance and social relevance for personalized ad recommendation on internet TV
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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It is well known that taking the Web user profiles into account can enhance the effectiveness of Web mining systems. However, due to the dynamic and complex nature of Web users, automatically acquiring worthwhile user profiles was found to be very challenging. Ontology-based user profile can possess more accurate user information. This research emphasizes on acquiring search intentions information. This paper presents a new approach of developing user profile for Web searching. The model considers the user's search intentions by the process of PTM (Pattern-Taxonomy Model). Initial experiments show that the user profile based on search intention is more useful than the generic PTM user profile. Developing user profile that contains user search intentions is essential for effective Web search and retrieval.