Abstract
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 representative profile of users’ group. Two users are in the same group when their interests (profiles) are similar. If a new user is classify to a group, a system can recommend him a representative profile to avoid ,,cold-start problem”. Results obtained in experimental evaluation are promising. Method presented in this paper is a crucial part of developed personalized document retrieval system.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Cantador, I., Bellogin, A., Castells, P.: A multilayer ontology-based hybrid recommendation model. J. AI Commun. - Recomm. Syst. 21(2–3), 203–210 (2008)
Cantador, I., Szomszor, M., Alani, H., Fernandez, M., Castells, P.: Enriching ontological user profiles with tagging history for multi-domain recommendations. In: Proceedings of 1st International Workshop on Collective Semantics: Collective Intelligence & the Semantic Web (2008)
Cruz, I.F., Xiao, H.: The role of ontologies in data integration. J. Eng. Intell. Syst. 13(5), 245–252 (2005)
Etaati, L., Sundaram, D.: Adaptive tourist recommendation system: conceptual frameworks and implementation. Vietnam J. Comput. Sci. 2, 95–107 (2015). doi:10.1007/s40595-014-0034-5
Limbu, D.K., Connor, A.M., MacDonell, S.G.: A framework for contextual information retrieval from the WWW. arXiv preprint (2014). arXiv:1407.6100
Luna, V., Quintero, R., Torres, M., Moreno-Ibarra, M., Guzman, G., Escamilla, I.: An ontology-based approach for representing the interaction process between user profile and its context for collaborative learning environments. Comput. Hum. Behav. 51, 1387–1394 (2015)
Maleszka, M., Mianowska, B., Nguyen, N.T.: A method for collaborative recommendation using knowledge integration tools and hierarchical structure of user profiles. Knowl.-Based Syst. 47, 1–13 (2013)
Maleszka, B.: A method for profile clustering using ontology alignment in personalized document retrieval systems. In: Núñez, M., et al. (eds.) ICCCI 2015. LNCS, vol. 9329, pp. 410–420. Springer, Heidelberg (2015). doi:10.1007/978-3-319-24069-5_39
Mianowska, B., Nguyen, N.T.: Tuning user profiles based on analyzing dynamic preference in document retrieval systems. Multimedia Tools Appl. 65, 93–118 (2012). doi:10.1007/s11042-012-1145-6
Montaner, M., Lopez, B., Rosa, J.: A taxonomy of recommender agents on the internet. Artif. Intell. Rev. 19, 258–330 (2003)
Noy, N.F., Musen, M.A.: An algorithm for merging and aligning ontologies: automation and tool support. In: Proceedings of the Workshop on Ontology Management at the Sixteenth National Conference on Artificial Intelligence (1999)
Noy, N.F.: Semantic integration: a survey of ontology-based approaches. SIGMOD Rec. 33, 65–70 (2004)
Pietranik, M., Nguyen, N.T.: A multi-attribute based framework for ontology aligning. Neurocomput. 146, 276–290 (2014)
Pinto, H.S., Martns, J.P.: Ontology integration: how to perform the process. In: Proceedings of the IJCAI-01 Workshop on Ontologies and Information Sharing (2001)
Pinto, H.S., Gomez-Perez, A., Martins, J.P.: Some issues on ontology integration. In: Proceedings of the IJCAI-99 workshop on Ontologies and Problem-Solving Methods (1999)
Zhu, Y., Xiong, L., Verdery, C.: Anonymizing user profiles for personalized web search. In: Proceedings of the 19th International Conference on World Wide Web, WWW 2010 (2010)
Acknowledgments
This research was partially supported by Polish Ministry of Science and Higher Education.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Maleszka, B. (2016). A Method for Determining Representative of Ontology-Based User Profile in Personalized Document Retrieval Systems. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49381-6_20
Download citation
DOI: https://doi.org/10.1007/978-3-662-49381-6_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-49380-9
Online ISBN: 978-3-662-49381-6
eBook Packages: Computer ScienceComputer Science (R0)