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Published in: Journal of Intelligent Information Systems 2/2019

31-10-2018

Inferring preferences in ontology-based recommender systems using WOWA

Authors: Miriam Martínez-García, Aida Valls, Antonio Moreno

Published in: Journal of Intelligent Information Systems | Issue 2/2019

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Abstract

In content-based semantic recommender systems the items to be considered are defined in terms of a set of semantic attributes, which may take as values the concepts of a domain ontology. The aim of these systems is to suggest to the user the items that fit better with his/her preferences, stored in the user profile. When large ontologies are considered it is unrealistic to expect to have complete information about the user preference on each concept. In this work, we explain how the Weighted Ordered Weighted Averaging operator may be used to deduce the user preferences on all concepts, given the structure of the ontology and some partial preferential information. The parameters of the WOWA operator enable to establish the desired aggregation policy, which ranges from a full conjunction to a full disjunction. Different aggregation policies have been analyzed in a case study involving the recommendation of touristic activities in the city of Tarragona. Several profiles have been compared and the results indicate that different aggregation policies should be used depending on the type of user. The amount of information available in the ontology must be also taken into account in order to establish the parameters of the proposed algorithm.

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Literature
go back to reference Adomavicius, G., & Tuzhilin, A. (2005). Toward the next generation of recommender systems: a survey of the state of the art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6), 734–749.CrossRef Adomavicius, G., & Tuzhilin, A. (2005). Toward the next generation of recommender systems: a survey of the state of the art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6), 734–749.CrossRef
go back to reference Aldea, A., Bañares-Alcántara, R, Skrzypczak, S. (2012). Managing information to support the decision making process. Journal of Information & Knowledge Management, 11(3), 1.CrossRef Aldea, A., Bañares-Alcántara, R, Skrzypczak, S. (2012). Managing information to support the decision making process. Journal of Information & Knowledge Management, 11(3), 1.CrossRef
go back to reference Anand, S.S., Kearney, P., Shapcott, M. (2007). Generating semantically enriched user profiles for Web personalization. ACM Transactions on Internet Technology, 7(4). Anand, S.S., Kearney, P., Shapcott, M. (2007). Generating semantically enriched user profiles for Web personalization. ACM Transactions on Internet Technology, 7(4).
go back to reference Bhatt, M., Wenny, J., Prakash, S., Wouters, C. (2009). Ontology driven semantic profiling and retrieval in medical information systems. Web Semantics, 7(4), 317–331.CrossRef Bhatt, M., Wenny, J., Prakash, S., Wouters, C. (2009). Ontology driven semantic profiling and retrieval in medical information systems. Web Semantics, 7(4), 317–331.CrossRef
go back to reference Blanco-Fernández, Y, López-Nores, M., Gil-Solla, A., Ramos-Cabrer, M., Pazos-Arias, J. (2011). Exploring synergies between content-based filtering and spreading activation techniques in knowledge-based recommender systems. Information Sciences, 181(21), 4823–4846.CrossRef Blanco-Fernández, Y, López-Nores, M., Gil-Solla, A., Ramos-Cabrer, M., Pazos-Arias, J. (2011). Exploring synergies between content-based filtering and spreading activation techniques in knowledge-based recommender systems. Information Sciences, 181(21), 4823–4846.CrossRef
go back to reference Borràs, J, Moreno, A., Valls, A. (2014). Intelligent tourism recommender systems: a survey. Expert Systems with Applications, 41(16), 7370–7389.CrossRef Borràs, J, Moreno, A., Valls, A. (2014). Intelligent tourism recommender systems: a survey. Expert Systems with Applications, 41(16), 7370–7389.CrossRef
go back to reference Borràs, J., Valls, A., Moreno, A., Isern, D. (2012). Ontology-based management of uncertain preferences in user profiles. In Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (Eds.) 14th international conference on information processing and management of uncertainty in knowledge-based systems (IPMU 2012). Springer Series: Communications in Computer and Information Science, 298 (pp. 127–136). Borràs, J., Valls, A., Moreno, A., Isern, D. (2012). Ontology-based management of uncertain preferences in user profiles. In Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (Eds.) 14th international conference on information processing and management of uncertainty in knowledge-based systems (IPMU 2012). Springer Series: Communications in Computer and Information Science, 298 (pp. 127–136).
go back to reference Burke, R. Brusilovski, P., Kobsa, A., Nejdl, W. (Eds.). (2007). Hybrid web recommender systems. Berlin: Springer. Burke, R. Brusilovski, P., Kobsa, A., Nejdl, W. (Eds.). (2007). Hybrid web recommender systems. Berlin: Springer.
go back to reference Cantador, I., Bellogin, A., Casells, P. (2008). A multilayer ontology-based hybrid recommendation model. AI Communications: Special Issue on Recommender Systems, 21, 203–210.MathSciNetMATH Cantador, I., Bellogin, A., Casells, P. (2008). A multilayer ontology-based hybrid recommendation model. AI Communications: Special Issue on Recommender Systems, 21, 203–210.MathSciNetMATH
go back to reference Carlsson, C., Brunelli, M., Mezei, J. (2012). Decision making with a fuzzy ontology. Soft Computing, 16(7), 1143–1152.CrossRef Carlsson, C., Brunelli, M., Mezei, J. (2012). Decision making with a fuzzy ontology. Soft Computing, 16(7), 1143–1152.CrossRef
go back to reference Cena, F., Likavec, S., Osborne, F. (2013). Anisotropic propagation of user interests in ontology-based user models. Information Sciences, 250(20), 40–60.CrossRef Cena, F., Likavec, S., Osborne, F. (2013). Anisotropic propagation of user interests in ontology-based user models. Information Sciences, 250(20), 40–60.CrossRef
go back to reference Codina, V., & Ceccaroni, L. (2010). Taking advantage of semantics in recommendation systems. In Proceedings of the 13th international conference of the catalan association for artificial intelligence (pp. 163–172). Amsterdam: IOS Press. Codina, V., & Ceccaroni, L. (2010). Taking advantage of semantics in recommendation systems. In Proceedings of the 13th international conference of the catalan association for artificial intelligence (pp. 163–172). Amsterdam: IOS Press.
go back to reference García-Crespo, A., Chamizo, J., Rivera, I., Mencke, M., Colomo-Palacios, R., Gómez-Berbís, J.M. (2009). SPETA: social pervasive e-tourism advisor. Telematics and Informatics, 26, 306–315.CrossRef García-Crespo, A., Chamizo, J., Rivera, I., Mencke, M., Colomo-Palacios, R., Gómez-Berbís, J.M. (2009). SPETA: social pervasive e-tourism advisor. Telematics and Informatics, 26, 306–315.CrossRef
go back to reference Darabi, M., & Tabrizi, N. (2016). An Ontology-Based framework to model user interests. In International conference on computational science and computational intelligence. Las Vegas, USA. Darabi, M., & Tabrizi, N. (2016). An Ontology-Based framework to model user interests. In International conference on computational science and computational intelligence. Las Vegas, USA.
go back to reference Di Noia, T., Ostuni, V.C., Tomeo, P., Di Sciascio, E. (2016). SPRAnk: semantic path-based ranking for top-n recommendations using linked open data. ACM Transactions on Intelligent Systems and Technology, 8(1), 9:1–9:34.CrossRef Di Noia, T., Ostuni, V.C., Tomeo, P., Di Sciascio, E. (2016). SPRAnk: semantic path-based ranking for top-n recommendations using linked open data. ACM Transactions on Intelligent Systems and Technology, 8(1), 9:1–9:34.CrossRef
go back to reference Gibert, K., Valls, A., Batet, M. (2014). Introducing semantic variables in mixed distance measures: impact on hierarchical clustering. Knowledge and Information Systems, 40(3), 559–593.CrossRef Gibert, K., Valls, A., Batet, M. (2014). Introducing semantic variables in mixed distance measures: impact on hierarchical clustering. Knowledge and Information Systems, 40(3), 559–593.CrossRef
go back to reference Hagen K, Kramer R, Hermkes M, Schumann B, Mueller P. (2005). Semantic matching and heuristic search for a dynamic tour guide. In Frew A.J. (Ed.) Information and communication technologies in tourism 2005 (pp. 149–159). Verlin: Springer. Hagen K, Kramer R, Hermkes M, Schumann B, Mueller P. (2005). Semantic matching and heuristic search for a dynamic tour guide. In Frew A.J. (Ed.) Information and communication technologies in tourism 2005 (pp. 149–159). Verlin: Springer.
go back to reference Hawalah, A., & Fasli, M. (2014). Utilizing contextual ontological user profiles for personalized recommendations. Expert Systems with Applications, 41(10), 4777–4797.CrossRef Hawalah, A., & Fasli, M. (2014). Utilizing contextual ontological user profiles for personalized recommendations. Expert Systems with Applications, 41(10), 4777–4797.CrossRef
go back to reference Jiang, X., & Tan, A. (2009). Learning and inferencing in user ontology for personalized semantic web search. Information Sciences, 179, 2794–2808.MATHCrossRef Jiang, X., & Tan, A. (2009). Learning and inferencing in user ontology for personalized semantic web search. Information Sciences, 179, 2794–2808.MATHCrossRef
go back to reference Lamsfus, C., Grün, C., Alzua-Sorzabal, A., Werthner, H. (2010). Context-based matchmaking to enhance tourists’ experience. Journal for the Informatics Professional, 203, 17–23. Lamsfus, C., Grün, C., Alzua-Sorzabal, A., Werthner, H. (2010). Context-based matchmaking to enhance tourists’ experience. Journal for the Informatics Professional, 203, 17–23.
go back to reference Leacock, C., & Chodorow, M. (1998). Combining local context and WordNet similarity for word sense identification, WordNet: an electronic lexical database (pp. 265–283). Cambridge: MIT Press. Leacock, C., & Chodorow, M. (1998). Combining local context and WordNet similarity for word sense identification, WordNet: an electronic lexical database (pp. 265–283). Cambridge: MIT Press.
go back to reference Li, Y., Bandar, Z., McLean, D. (2003). An approach for measuring semantic similarity between words using multiple information sources. In IEEE transactions on knowledge and data engineering, (Vol. 15, pp. 871–882). Li, Y., Bandar, Z., McLean, D. (2003). An approach for measuring semantic similarity between words using multiple information sources. In IEEE transactions on knowledge and data engineering, (Vol. 15, pp. 871–882).
go back to reference Luberg, A., Tammet, T., Järv, P. (2011). Smart city: a rule-based tourist recommendation system. In Law, R., Fuchs, M., Ricci, F. (Eds.) Information and communication technologies in tourism (ENTER 11) (pp. 51–62). Vienna: Springer. Luberg, A., Tammet, T., Järv, P. (2011). Smart city: a rule-based tourist recommendation system. In Law, R., Fuchs, M., Ricci, F. (Eds.) Information and communication technologies in tourism (ENTER 11) (pp. 51–62). Vienna: Springer.
go back to reference Marin, L., Isern, D., Moreno, A., Valls, A. (2013). On-line dynamic adaptation of fuzzy preferences. Information Sciences, 220, 5–12.MathSciNetCrossRef Marin, L., Isern, D., Moreno, A., Valls, A. (2013). On-line dynamic adaptation of fuzzy preferences. Information Sciences, 220, 5–12.MathSciNetCrossRef
go back to reference Martínez-García, M., Valls, A., Moreno, A. (2016). Construction of an outranking relation based on semantic criteria with ELECTRE-III, information processing and management of uncertainty in knowledge-based systems part II, (611), pp. 238-249, Springer. Martínez-García, M., Valls, A., Moreno, A. (2016). Construction of an outranking relation based on semantic criteria with ELECTRE-III, information processing and management of uncertainty in knowledge-based systems part II, (611), pp. 238-249, Springer.
go back to reference Mathur, A., Akshatha, K., Shastry, A., Anitha, J. (2015). A survey on existing tourism ontologies, pp. 2319–2322. Mathur, A., Akshatha, K., Shastry, A., Anitha, J. (2015). A survey on existing tourism ontologies, pp. 2319–2322.
go back to reference Middleton, S., De Roure, D., Shadbolt, N. (2009). Handbook on ontologies. In Ontology-based recommender systems, international handbooks on information systems (pp. 779–796). Middleton, S., De Roure, D., Shadbolt, N. (2009). Handbook on ontologies. In Ontology-based recommender systems, international handbooks on information systems (pp. 779–796).
go back to reference Middleton, S., Shadbolt, N., De Roure, D. (2004). D.c, Ontological user profiling in recommender systems. ACM Trans. Inform. Syst., 22(1), 54–88.CrossRef Middleton, S., Shadbolt, N., De Roure, D. (2004). D.c, Ontological user profiling in recommender systems. ACM Trans. Inform. Syst., 22(1), 54–88.CrossRef
go back to reference Mínguez, I., Berrueta, D., Polo, L. (2010). CRUZAR: An application of semantic matchmaking to e-tourism. In Kalfoglou, Y (Ed.) Cases on semantic interoperability for information systems integration: practices and applications (pp. 255–271). Hershey, PA: IGI Global. Mínguez, I., Berrueta, D., Polo, L. (2010). CRUZAR: An application of semantic matchmaking to e-tourism. In Kalfoglou, Y (Ed.) Cases on semantic interoperability for information systems integration: practices and applications (pp. 255–271). Hershey, PA: IGI Global.
go back to reference Moreno, A., Valls, A., Isern, D., Marin, L., Borràs, J. (2013). SigTur/E-Destination: ontology–based personalized recommendation of tourism and leisure activities. Engineering Applications of Artificial Intelligence, 26(1), 633–651.CrossRef Moreno, A., Valls, A., Isern, D., Marin, L., Borràs, J. (2013). SigTur/E-Destination: ontology–based personalized recommendation of tourism and leisure activities. Engineering Applications of Artificial Intelligence, 26(1), 633–651.CrossRef
go back to reference Niaraki, A.S., Kim, K., Lee, C. (2009). Ontology based personalized route planning system using a multi-criteria decision making approach. Expert Systems with Applications, 36, 2250–2259.CrossRef Niaraki, A.S., Kim, K., Lee, C. (2009). Ontology based personalized route planning system using a multi-criteria decision making approach. Expert Systems with Applications, 36, 2250–2259.CrossRef
go back to reference Petrakis, E.G., Varelas, G., Hliaoutakis, A., Raftopoulou, P. (2006). X-Similarity: Computing Semantic similarity between concepts from different ontologies. Journal of Digital Information Management, 4, 233–237. Petrakis, E.G., Varelas, G., Hliaoutakis, A., Raftopoulou, P. (2006). X-Similarity: Computing Semantic similarity between concepts from different ontologies. Journal of Digital Information Management, 4, 233–237.
go back to reference Pirró, G, & Seco, N. (2008). Design, implementation and evaluation of a new semantic similarity metric combing features and intrinsic information content. In Proceedings of OTM 2008 confederated international conferences coopIS, DOA, GADA, IS, and ODBASE 2008 (pp. 1271–1288). México: Springer. Pirró, G, & Seco, N. (2008). Design, implementation and evaluation of a new semantic similarity metric combing features and intrinsic information content. In Proceedings of OTM 2008 confederated international conferences coopIS, DOA, GADA, IS, and ODBASE 2008 (pp. 1271–1288). México: Springer.
go back to reference Rada, R., Mili, H., Bichnell, E., Blettner, M. (1989). Development and application of a metric on semantic nets. IEEE Transactions on Systems Man and Cybernetics, 9(1), 17–30.CrossRef Rada, R., Mili, H., Bichnell, E., Blettner, M. (1989). Development and application of a metric on semantic nets. IEEE Transactions on Systems Man and Cybernetics, 9(1), 17–30.CrossRef
go back to reference Resnik, P. (1995). Using information content to evaluate semantic similarity in a taxonomy. In Proceedings of 14th international joint conference on artificial intelligence, IJCAI (Vol. 1995, pp. 448–453). Montreal: Morgan Kaufmann Publishers. Resnik, P. (1995). Using information content to evaluate semantic similarity in a taxonomy. In Proceedings of 14th international joint conference on artificial intelligence, IJCAI (Vol. 1995, pp. 448–453). Montreal: Morgan Kaufmann Publishers.
go back to reference Ruiz-Montiel, M., & Aldana, J.F. (2009). Semantically enhanced recommender systems. In Meersman, R., Herrero, P., Dillon, T. (Eds.) OTM 2009 workshops on the move to meaningful internet systems, vol. 5872 of lecture notes in computer science (pp. 604–609). Berlin: Springer. Ruiz-Montiel, M., & Aldana, J.F. (2009). Semantically enhanced recommender systems. In Meersman, R., Herrero, P., Dillon, T. (Eds.) OTM 2009 workshops on the move to meaningful internet systems, vol. 5872 of lecture notes in computer science (pp. 604–609). Berlin: Springer.
go back to reference Schickel-Zuber, V., & Faltings, B. (2006). Overcoming incomplete user models in recommendation systems via an ontology. In Nasraoui, O., et al. (Eds.) WebKDD 2005 (Vol. 4198, pp. 39–57). LNAI. Schickel-Zuber, V., & Faltings, B. (2006). Overcoming incomplete user models in recommendation systems via an ontology. In Nasraoui, O., et al. (Eds.) WebKDD 2005 (Vol. 4198, pp. 39–57). LNAI.
go back to reference Sendhilkumar, S., & Geetha, T.V. (2008). Personalized ontology for web search personalization. In Proceedings of the 1st Bangalore annual compute conference, COMPUTE ’08 (pp. 18:1–18:7). New York, NY: ACM. Sendhilkumar, S., & Geetha, T.V. (2008). Personalized ontology for web search personalization. In Proceedings of the 1st Bangalore annual compute conference, COMPUTE ’08 (pp. 18:1–18:7). New York, NY: ACM.
go back to reference Shoval, P., Maidel, V., Shapira, B. (2008). An ontology-content-based filtering method. International Journal of Information Theories and Applications, 15(4), 51–63. Shoval, P., Maidel, V., Shapira, B. (2008). An ontology-content-based filtering method. International Journal of Information Theories and Applications, 15(4), 51–63.
go back to reference Sieg, A., Mobasher, B., Burke, R. (2007). Web search personalization with ontological user profiles. In Proceedings of the sixteenth ACM conference on conference on information and knowledge management, CIKM ’07 (pp. 525–534). New York, NY: ACM. Sieg, A., Mobasher, B., Burke, R. (2007). Web search personalization with ontological user profiles. In Proceedings of the sixteenth ACM conference on conference on information and knowledge management, CIKM ’07 (pp. 525–534). New York, NY: ACM.
go back to reference Su, Z., Yan, J., Ling, H., Chen, H. (2012). Research on personalized recommendation algorithm based on ontological user interest model. Journal of Computational Information Systems, 8(1), 169–181. Su, Z., Yan, J., Ling, H., Chen, H. (2012). Research on personalized recommendation algorithm based on ontological user interest model. Journal of Computational Information Systems, 8(1), 169–181.
go back to reference Tarus, J.K., Niu, Z., Mustafa, G. (2018). Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning. Artificial Intelligence Review, 50(1), 21–48.CrossRef Tarus, J.K., Niu, Z., Mustafa, G. (2018). Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning. Artificial Intelligence Review, 50(1), 21–48.CrossRef
go back to reference Torra, V. (1997). The weighted OWA operator. International Journal of Intelligent Systems, 12(2), 153–166.MATHCrossRef Torra, V. (1997). The weighted OWA operator. International Journal of Intelligent Systems, 12(2), 153–166.MATHCrossRef
go back to reference Torra, V. (2011). The WOWA operator: a review. In Recent developments in the ordered weighted averaging operators: theory and practice (254) (pp. 17–28). Berlin: Springer. Torra, V. (2011). The WOWA operator: a review. In Recent developments in the ordered weighted averaging operators: theory and practice (254) (pp. 17–28). Berlin: Springer.
go back to reference Valls, A., Moreno, A., Borràs, J. (2013). Preference representation with ontologies. In Doumpos, M., & Grigoroudis, E. (Eds.) Multicriteria decision aid and artificial intelligence (pp. 77–99). Chichester: Wiley. Valls, A., Moreno, A., Borràs, J. (2013). Preference representation with ontologies. In Doumpos, M., & Grigoroudis, E. (Eds.) Multicriteria decision aid and artificial intelligence (pp. 77–99). Chichester: Wiley.
go back to reference Waltinger, U., Cramer, I., Wandmacher, T. (2009). From Social networks to distributional properties: a comparative study on computing semantic relatedness. In Proceedings of thirty-first annual meeting of the cognitive science society (pp. 3016–3021). Amsterdam, Netherlands. Waltinger, U., Cramer, I., Wandmacher, T. (2009). From Social networks to distributional properties: a comparative study on computing semantic relatedness. In Proceedings of thirty-first annual meeting of the cognitive science society (pp. 3016–3021). Amsterdam, Netherlands.
go back to reference Wang, W., Zeng, G., Zhang, D., Huang, Y., Qiu, Y., Wang, X. (2008). An intelligent ontology and Bayesian network based semantic mashup for tourism. In Proceedings IEEE congress on services (pp. 128–135). Wang, W., Zeng, G., Zhang, D., Huang, Y., Qiu, Y., Wang, X. (2008). An intelligent ontology and Bayesian network based semantic mashup for tourism. In Proceedings IEEE congress on services (pp. 128–135).
go back to reference Wu, Z., & Palmer, M. (1994). Verb semantics and lexical selection. In Proceedings of 32nd annual meeting of the association for computational linguistics. (pp. 133–138). Las Cruces, New Mexico: Association for computational linguistics. Wu, Z., & Palmer, M. (1994). Verb semantics and lexical selection. In Proceedings of 32nd annual meeting of the association for computational linguistics. (pp. 133–138). Las Cruces, New Mexico: Association for computational linguistics.
go back to reference Yager, R.R. (1996). Quantifier guided aggregation using OWA operators. International Journal of Intelligent Systems, 11(1), 49–73.CrossRef Yager, R.R. (1996). Quantifier guided aggregation using OWA operators. International Journal of Intelligent Systems, 11(1), 49–73.CrossRef
go back to reference Yager, R.R., Kacprzyk, J., Beliakov, G. (2011). Recent developments in the ordered weighted averaging operators: theory and practice. Berlin: Springer.CrossRef Yager, R.R., Kacprzyk, J., Beliakov, G. (2011). Recent developments in the ordered weighted averaging operators: theory and practice. Berlin: Springer.CrossRef
go back to reference Zheng, Z. (2011). A personalized product recommender system based on semantic similarity and TOPSIS method. Journal of Convergence Information Technology, 6(7), 312–320.CrossRef Zheng, Z. (2011). A personalized product recommender system based on semantic similarity and TOPSIS method. Journal of Convergence Information Technology, 6(7), 312–320.CrossRef
go back to reference Ziegler, C., Lausen, G., Schmidt-Thieme, L. (2004). Taxonomy-driven computation of product recommendations. In Proceedings of the 13th ACM international conference on information and knowledge management (pp. 406–415). New York. Ziegler, C., Lausen, G., Schmidt-Thieme, L. (2004). Taxonomy-driven computation of product recommendations. In Proceedings of the 13th ACM international conference on information and knowledge management (pp. 406–415). New York.
Metadata
Title
Inferring preferences in ontology-based recommender systems using WOWA
Authors
Miriam Martínez-García
Aida Valls
Antonio Moreno
Publication date
31-10-2018
Publisher
Springer US
Published in
Journal of Intelligent Information Systems / Issue 2/2019
Print ISSN: 0925-9902
Electronic ISSN: 1573-7675
DOI
https://doi.org/10.1007/s10844-018-0532-5

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