A method for ontology-based user profile adaptation in personalized document retrieval systems

Information overload is one of the most important problems in context of personalized document retrieval systems. In this paper we propose to use ontology-based user profile. Ontological structures are appropriate to represent relations between concepts in user profile. We present a method for determining user profile based on his current activities. Results obtained in experimental evaluation are promising.

[1]  Alexis Tsoukiàs,et al.  Multicriteria User Modeling in Recommender Systems , 2011, IEEE Intelligent Systems.

[2]  Kyung-Yong Jung,et al.  User Preference Through Learning User Profile for Ubiquitous Recommendation Systems , 2006, KES.

[3]  Ivan Jelínek,et al.  Ontology-based approach to adaptation , 2007, CompSysTech '07.

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

[5]  Bernadetta Maleszka.  A Method for Determining Representative of Ontology-Based User Profile in Personalized Document Retrieval Systems , 2016, ACIIDS.

[6]  Ngoc Thanh Nguyen,et al.  A Method of User Modeling and Relevance Simulation in Document Retrieval Systems , 2011, KES-AMSTA.

[7]  Bracha Shapira,et al.  Recommender Systems Handbook , 2015, Springer US.

[8]  Kinshuk,et al.  PLORS: a personalized learning object recommender system , 2016, Vietnam Journal of Computer Science.

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

[10]  Stuart E. Middleton,et al.  Ontological user profiling in recommender systems , 2004, TOIS.

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

[12]  Alejandro Bellogín,et al.  A multilayer ontology-based hybrid recommendation model , 2008, AI Commun..

[13]  Cesar Augusto Tacla,et al.  A Method for Collaborative Argumentation in Merging Individual Ontologies , 2013, J. Univers. Comput. Sci..

[14]  Robin Burke,et al.  Improving the effectiveness of collaborative recommendation with ontology-based user profiles , 2010, HetRec '10.

[15]  Bernadetta Maleszka.  A Method for Profile Clustering Using Ontology Alignment in Personalized Document Retrieval Systems , 2015, ICCCI.

[16]  Michael J. Muller,et al.  Recommending topics for self-descriptions in online user profiles , 2008, RecSys '08.

[17]  Kurt Sandkuhl,et al.  Context-based Ontology Matching: Concept and Application Cases , 2010, 2010 10th IEEE International Conference on Computer and Information Technology.