User modeling based on emergent domain semantics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6075 LNCS, Issue , 2010, Pages 411-414

  Šimko, Marián ^a   Bieliková, Mária ^a  

^a SLOVAK UNIVERSITY OF TECHNOLOGY   (Slovakia)

Author keywords

automatic domain model composition; emergent domain semantics; folksonomy; text mining; user modeling

Indexed keywords

DOMAIN MODEL; DOMAIN SEMANTICS; FOLKSONOMIES; TEXT MINING; USER MODELING;

SEMANTIC WEB;

SEMANTICS;

EID: 77954590218     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13470-8_42     Document Type: Conference Paper

References (11)

1. Brusilovsky, P.: Methods and Techniques of Adaptive Hypermedia. User Modeling and User-Adapted Interaction 6(2-3), 87-129 (1996)
2. Carmagnola, F., Cena, F., Cortassa, O., Gena, C., Torre, I.: Towards a Tag-Based User Model: How Can User Model Benefit from Tags? In: Conati, C., McCoy, K., Paliouras, G. (eds.) UM 2007. LNCS (LNAI), vol. 4511, pp. 445-449. Springer, Heidelberg (2007)
3. Durao, F., Dolog, P.: A personalized tag-based recommendation in social web systems. In: Tasso, D.A., Farzan, R., Kleanthous, S., Bueno Vallejo, D., Vassileva, J. (eds.) Proc. of Int. Workshop on Adaptation and Personalization for Web 2.0 (AP-WEB 2.0 2009) at UMAP2009, CEUR,, Trento, Italy, vol. 485 (2009)
4. Heymann, P., Koutrika, G., Garcia-Molina, H.: Can Social Bookmarking Improve Web Search? In: Proc. of the WSDM 2008, pp. 195-206 (2008)
5. Kajaba, M., Návrat, P., Chudá, D.: A Simple Personalization Layer Improving Relevancy of Web Search. Computing and Information Systems Journal 13(3), 29-35 (2009)
6. Knoth, P., Schmidt,M., Smrž, P., Zdráhal, Z.: Towards a Framework for Comparing Automatic Term Recognition Methods. In: Znalosti 2009, pp. 83-94 (2009)
7. Nakamoto, R., Nakajima, S., Miyazaki, J., Uemura, S.: Tag-based contextual collaborative filtering. Int. Journal of Computer Science, IAENG 34(2) (2007)
8. Niwa, S., Doi, T., Honiden, S.:Web page recommender system based on folksonomy mining for ITNG'06 submissions. In: Proc.of the 3rd Int. Conf. on Information Tech.: New Generations, Washington, DC, USA, pp. 388-393. IEEE, Los Alamitos (2006)
9. Pazzani, M.J., Billsus, D.: Content-Based Recommendation Systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 325-341. Springer, Heidelberg (2007)
10. Šimko, M., Bieliková, M.: Automated Educational Course Metadata Generation Based on Semantics Discovery. In: Cress, U., Dimitrova, V., Specht, M. (eds.) EC-TEL 2009. LNCS, vol. 5794, pp. 99-105. Springer, Heidelberg (2009)
11. Šimko, M., Bieliková, M.: Automatic Concept Relationships Discovery for an Adaptive E-course. In: Barnes, T., et al. (eds.) Proc. of Educational Data Mining 2009: 2nd Int. Conf. on Educational Data Mining, Cordoba, Spain, pp. 171-179 (2009)