Incorporating scholar's background knowledge into recommender system for digital libraries

2011 5th Malaysian Conference in Software Engineering, MySEC 2011

Volumn , Issue , 2011, Pages 516-523

  Amini, Bahram ^a   Ibrahim, Roliana ^a   Othman, Mohd Shahizan ^a   Rastegari, Hamid ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

Background Knowledge; CiteSeerX; Digital Library; Ontology; Recommender System; User Profile

Indexed keywords

BACKGROUND KNOWLEDGE; CITESEERX; ONTOLOGY MODELING; PERSONALIZATIONS; USER PROFILE; USER SATISFACTION; WORDNET;

DIGITAL LIBRARIES; ONTOLOGY; SEMANTIC WEB; SOFTWARE ENGINEERING;

RECOMMENDER SYSTEMS;

EID: 84857246282     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MySEC.2011.6140721     Document Type: Conference Paper

References (39)

1. G. Uchyigit, "Semantically Enhanced Web Personalization," Web Mining Appl. in E-Commerce & E-Services, SCI 172, Berlin Heidelberg: Springer-Verlag, 2009, pp. 25-43.
2. A. Sieg, B. Mobasher, and R. Burke, "Learning Ontology-Based User Profiles: A Semantic Approach to Personalized Web Search," Work, vol. 8, 2007, pp. 1-12.
3. H. Drachsler, H.G.K. Hummel, and R. Koper, "Recommendations for learners are different : Applying memory-based recommender system techniques to lifelong learning," Proceedings of the 1st Workshop on Social Information Retrieval for Technology-Enhanced Learning & Exchange, 2007, pp. 18-26.
4. G. Adomavicius, N. Manouselis, and Y. Kwon, Multi-Criteria Recommender Systems, University of Minnesota, MN 55455, USA: 2010.
5. S.Y. Chen and R. Macredie, "Web-based interaction: A review of three important human factors," International Journal of Information Management, vol. 30, Oct. 2010, pp. 379-387.
6. S. McDonald and R.J. Stevenson, "Effects of Text Structure and Prior Knowledge of the Learner on Navigation in Hypertext," Human Factors, 1998, pp. 18-27. (Pubitemid 28194519)
7. H.J.A. Biemans and R.-J.P. Simons, "Contact-2 : a computer-assisted instructional strategy for promoting conceptual change," Instructional Science, vol. 24, 1996, pp. 157-176.
8. S. Gauch, M. Speretta, and A. Pretschner, "Ontology-Based User Profies for Personalized Search," Search, 2005.
9. S. Gauch, J. Chaffee, and A. Pretschner, "Ontology-Based Personalized Search and Browsing," UMUAI, Web Intelligence and Agent Systems 1(4), 2004, p. 219-234.
10. D. Pierrakos, G. Paliouras, C. Papatheodorou, and C.D. Spyropoulos, "Web Usage Mining as a Tool for Personalization : A Survey," User Modeling and User-Adapted Interaction, 2003.
11. B. Mobasher, "Recommender Systems," Kunstliche Intelligenz, Special Issue on Web Mining, BottcherIT Verlag, Bremen, Germany: 2007, pp. 41-43.
12. N. Strangman and T. Hall, Background Knowledge, 2004.
13. G.R. Lopes and M.A. Martins, "A Personalized Recommender System for Digital Libraries," ACM Transactions on Information Systems, 2007, pp. 59-66.
14. S. Das, C.L. Giles, and P. Mitra, "On Identifying Academic Homepages for Digital Libraries," JCDL'11, Ontario, Canada: ACM, 2011.
15. A. Sieg, B. Mobasher, and R. Burke, "Ontological User Profiles for Personalized Web Search," American Association for Artificial Intelligence (AAAI), 2007, pp. 84-91.
16. S. Gauch, M. Speretta, and A. Pretschner, "Ontology-Based User Profiles for Personalized Search," Ontologies, Integrated Series in Information Systems, Springer US, 2007, pp. 665-694.
17. L. Zhou, "Ontology Learning: state of the art and open issues," Springer, vol. 8, 2007, pp. 241-252.
18. L. Henderson, "Automated Text Classification in the DMOZ Hierarchy," 2009, pp. 1-25.
19. P.D. Turney and P. Pantel, "From Frequency to Meaning : Vector Space Models of Semantics," Journal of Artificial Intelligence Research, vol. 37, 2010, pp. 141-188.
20. G. Salton, A. Wong, and C.S. Yang, "A Vector Space Model for Automatic Indexing," Communications of the ACM, vol. 18, 1975, pp. 613-620.
21. C. D.Manning, P. Raghavan, and H. Schütze, An Introduction to Information Retrieval, England: Cambridge University Press, 2009.
22. B. Amini, R. Ibrahim, and M.S. Othman, "Discovering the Impact of Knowledge in Recommender Systems: A Comparative Study," Journal of Computer Science, vol. 2, 2011, pp. 1-14.
23. A. Hotho, S. Staab, and G. Stumme, "Wordnet improves Text Document Clustering," In Proc. of the SIGIR 2003 Semantic Web Workshop, 2003, pp. 541-544.
24. S. Scott and S. Matwin, "Feature Engineering for Text Classification," Proceedings of ICML-99, 16th International Conference on Machine Learning, 1999, pp. 1-13.
25. G. Wei, M. Bao, and S. Wu, "Research on Ontology-Based Text Representation of Vector Space Model," IEEE, 2010.
26. R. Burke, "Knowledge-based recommender systems," Library, 1999, pp. 1-23.
27. M. Degemmis, P. Lops, and G. Semeraro, "Learning Semantic User Profiles from Text," Springer Berlin Heidelberg, vol. LNAI 4093, 2006, pp. 661-672. (Pubitemid 44503209)
28. D. Tsatsou, F. Menemenis, and P.C. Davis, "A Semantic Framework for Personalized Ad Recommendation based on Advanced Textual Analysis," ACM RecSys'09, NY, USA: ACM, 2009, pp. 217-220.
29. S.S. Anand and B. Mobasher, "Intelligent Techniques for Web Personalization," Springer Berlin Heidelberg, vol. 3169, 2005, pp. 1-36.
30. S. Gauch, M. Speretta, A. Chandramouli, and A. Micarelli, "User Profiles for Personalized Information Access," Springer Berlin Heidelberg, 2007, pp. 54-89.
31. M.J. Pazzani and D. Billsus, "Content-Based Recommendation Systems," The Adaptive Web 2007, LNCS 4321, A.W.N. (Eds) P. Brusilovsky, A. Kobsa, ed., Berlin Heidelberg: Springer-Verlag, 2007, pp. 325-341.
32. I.I. Retrieval and T. Mining, "Information Retrieval and Text Mining," Fundamentals of Predictive Text Mining, Texts in Computer Science, S.M.Weiss Et Al., eds., London: Springer London, 2010, pp. 75-90.
33. G. Adomavicius, A. Tuzhilin, and S. Sen, "Incorporating Contextual Information in Recommender Systems Using a Multidimensional Approach," ACM Transactions on Information Systems, vol. 23, 2005, pp. 103-145. (Pubitemid 40245827)
34. A. Kayed, E. El-Qawasmeh, and Z. Qawaqneh, "Ranking web sites using domain ontology concepts," Elsevier, infomation Management, vol. 47, Dec. 2010, pp. 350-355.
35. M. Degemmis and P. Lops, "A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation," User Modeling and User-Adapted Interaction, 2007, pp. 217-255. (Pubitemid 46807639)
36. A. Budanitsky and G. Hirst, "Semantic distance in WordNet : An experimental, application-oriented evaluation of five measures," Evaluation, 1998.
37. T.H. Duong, M.N. Uddin, D. Li, and G.S. Jo, "A Collaborative Ontology-Based User Profiles System," System, 2009, pp. 540-552.
38. S.-C. Liao, K.-F. Kao, I.-E. Liao, H.-L. Chen, and S.-O. Huang, "PORE: a personal ontology recommender system for digital libraries," The Electronic Library, vol. 27, 2009, pp. 496-508.
39. S.-Y. Yang, "Developing an ontology-supported information integration and recommendation system for scholars," Expert Systems with Applications, vol. 37, Oct. 2010, pp. 7065-7079.