A Method for Profile Clustering Using Ontology Alignment in Personalized Document Retrieval Systems

User modeling is crucial aspect of personalized document retrieval systems. In this paper we propose to use ontology-based user profile while ontological structures are appropriate to represent dependencies between concepts in user profile. A method for clustering set of users is proposed. As a similarity measure between ontological profiles we present a novel approach using ontology alignment methods. To avoid “cold-start problem” we developed method for profile recommendation for a new user.

[1]  Ana Roxin,et al.  Dynamic, Behavior-Based User Profiling Using Semantic Web Technologies in a Big Data Context , 2013, OTM Workshops.

[2]  Qingtian Zeng,et al.  Keyword clustering for user interest profiling refinement within paper recommender systems , 2012, J. Syst. Softw..

[3]  Ngoc Thanh Nguyen,et al.  A method for collaborative recommendation using knowledge integration tools and hierarchical structure of user profiles , 2013, Knowl. Based Syst..

[4]  Hui Zhang,et al.  Construction of Ontology-Based User Model for Web Personalization , 2007, User Modeling.

[5]  Qingtian Zeng,et al.  Course ontology-based user's knowledge requirement acquisition from behaviors within e-learning systems , 2009, Comput. Educ..

[6]  P. K. Sinha,et al.  REVIEW AND ANALYSIS OF MACHINE LEARNING AND SOFT COMPUTING APPROACHES FOR USER MODELING , 2015 .

[7]  Alexander Maedche,et al.  Ontology-Based User Modeling for Knowledge Management Systems , 2003, User Modeling.

[8]  Ngoc Thanh Nguyen,et al.  A multi-attribute based framework for ontology aligning , 2014, Neurocomputing.

[9]  Ngoc Thanh Nguyen,et al.  Tuning user profiles based on analyzing dynamic preference in document retrieval systems , 2013, Multimedia Tools and Applications.

[10]  Ngoc Thanh Nguyen.  Rough Classification - New Approach and Applications , 2009, J. Univers. Comput. Sci..

[11]  Analía Amandi,et al.  Ontology-based user profile learning , 2011, Applied Intelligence.

[12]  Lora Aroyo,et al.  An Approach to Intelligent Information Handling in Web-based Learning Environments , 2001 .

[13]  Yuh-Min Chen,et al.  Adapting domain ontology for personalized knowledge search and recommendation , 2013, Inf. Manag..

[14]  Sharifullah Khan,et al.  Semantic matching in hierarchical ontologies , 2014, J. King Saud Univ. Comput. Inf. Sci..

[15]  Federica Cena,et al.  Propagating User Interests in Ontology-Based User Model , 2011, AI*IA.

[16]  Bamshad Mobasher,et al.  Learning Ontology-Based User Profiles: A Semantic Approach to Personalized Web Search , 2007, IEEE Intell. Informatics Bull..

[17]  J Jayanthi,et al.  Generation of ontology based user profiles for personalized Web search , 2011, 2011 3rd International Conference on Electronics Computer Technology.