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2016 | OriginalPaper | Buchkapitel

A Method for Determining Representative of Ontology-Based User Profile in Personalized Document Retrieval Systems

verfasst von : Bernadetta Maleszka

Erschienen in: Intelligent Information and Database Systems

Verlag: Springer Berlin Heidelberg

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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.

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Literatur
1.
Zurück zum Zitat Cantador, I., Bellogin, A., Castells, P.: A multilayer ontology-based hybrid recommendation model. J. AI Commun. - Recomm. Syst. 21(2–3), 203–210 (2008)MathSciNetMATH Cantador, I., Bellogin, A., Castells, P.: A multilayer ontology-based hybrid recommendation model. J. AI Commun. - Recomm. Syst. 21(2–3), 203–210 (2008)MathSciNetMATH
2.
Zurück zum Zitat 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) 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)
3.
Zurück zum Zitat Cruz, I.F., Xiao, H.: The role of ontologies in data integration. J. Eng. Intell. Syst. 13(5), 245–252 (2005) Cruz, I.F., Xiao, H.: The role of ontologies in data integration. J. Eng. Intell. Syst. 13(5), 245–252 (2005)
5.
Zurück zum Zitat Limbu, D.K., Connor, A.M., MacDonell, S.G.: A framework for contextual information retrieval from the WWW. arXiv preprint (2014). arXiv:1407.6100 Limbu, D.K., Connor, A.M., MacDonell, S.G.: A framework for contextual information retrieval from the WWW. arXiv preprint (2014). arXiv:​1407.​6100
6.
Zurück zum Zitat 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)CrossRef 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)CrossRef
7.
Zurück zum Zitat 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)CrossRef 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)CrossRef
8.
Zurück zum Zitat 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 CrossRef 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 CrossRef
10.
Zurück zum Zitat Montaner, M., Lopez, B., Rosa, J.: A taxonomy of recommender agents on the internet. Artif. Intell. Rev. 19, 258–330 (2003)CrossRef Montaner, M., Lopez, B., Rosa, J.: A taxonomy of recommender agents on the internet. Artif. Intell. Rev. 19, 258–330 (2003)CrossRef
11.
Zurück zum Zitat 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., 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)
12.
Zurück zum Zitat Noy, N.F.: Semantic integration: a survey of ontology-based approaches. SIGMOD Rec. 33, 65–70 (2004)CrossRef Noy, N.F.: Semantic integration: a survey of ontology-based approaches. SIGMOD Rec. 33, 65–70 (2004)CrossRef
13.
Zurück zum Zitat Pietranik, M., Nguyen, N.T.: A multi-attribute based framework for ontology aligning. Neurocomput. 146, 276–290 (2014)CrossRef Pietranik, M., Nguyen, N.T.: A multi-attribute based framework for ontology aligning. Neurocomput. 146, 276–290 (2014)CrossRef
14.
Zurück zum Zitat 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., Martns, J.P.: Ontology integration: how to perform the process. In: Proceedings of the IJCAI-01 Workshop on Ontologies and Information Sharing (2001)
15.
Zurück zum Zitat 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) 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)
16.
Zurück zum Zitat 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) 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)
Metadaten
Titel
A Method for Determining Representative of Ontology-Based User Profile in Personalized Document Retrieval Systems
verfasst von
Bernadetta Maleszka
Copyright-Jahr
2016
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-49381-6_20

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