Abstract
The main goal of this research is to investigate the techniques that implicitly build ontology-based user profiles. In particular, automatically building profiles based on user’s information (blogs, publications, home pages,...) generated from the internet. We proposed a framework to search the user details to build profile automatically. An initial profile is constructed with user interest in hierarchical manner and this profile is learned by assigning user details collected by our search method. Main focused on how quickly we can collect user’s information and achieve a profile stability, and how effectively improve profiles. Along with the framework we also consider a new method to extract feature from document. A Wordnet and Lexico-syntactic pattern for hyponyms approach is applied to export the important feature of document to represent the profile ontology. The user profile further improved by learning interesting knowledge from similar profiles.
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Duong, T.H., Uddin, M.N., Li, D., Jo, G.S. (2009). A Collaborative Ontology-Based User Profiles System. In: Nguyen, N.T., Kowalczyk, R., Chen, SM. (eds) Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems. ICCCI 2009. Lecture Notes in Computer Science(), vol 5796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04441-0_47
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DOI: https://doi.org/10.1007/978-3-642-04441-0_47
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