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References
Andersen, V., Hansen, C.B., Andersen, H.H.K. (2001) Evaluation of Agents and Study of End User needs and behaviour for E-commerce, COGITO Focus group experiment, Risø-R-1264 (EN), CHMI-01-01, Risø National Laboratory, Roskilde, Denmark.
Burke, R. (2002) Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction, Kluwer Academic Publishers, the Netherlands, 12, 331–370.
Balabanovic, M. and Shoham, Y. (1997) Fab: Content-Based, Collaborative recommendation. Communications of ACM, 40 (3), 66–72.
Breese, J.S., Heckerman, D., Kadie, C. (1998) Empirical Analysis of Predictive Algorithms for Collaborative Filtering. In Cooper, G. F., Moral, S. (Eds.): UAI’ 98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, July 24–26, 1998, University of Wisconsin Business School, Madison, Wisconsin, USA. 43–52. Morgan Kaufmann.
Buono, P., Costabile, M. F., Guida, S., Piccinno, A. (2002) Integrating User Data and Collaborative Filtering in a Web Recommendation Systems. In Reich, S., Tzagarakis, M.M. and Debra, P.M.E. (Eds.), Hypermedia: Openness, Structural Awareness and Adaptivity, Lecture Notes in Computer Science, vol. 2266. 315–321. Springer, Berlin.
Frank, E. and Witten, I. (1998) Generating accurate rule sets without global optimization. In Shavlik, J. W. (Ed.): Proceedings of the Fifteenth International Conference on Machine Learning, July 24–27, 1998, Madison, Wisconson, USA. 144–151. Morgan Kaufmann.
Konstan, J. A., Riedl, J., Borchers, A. and Herlocker, J. L. (1998) Recommender Systems: A GroupLens Perspective. In Recommender Systems. Papers from 1998 Workshop. Technical Report WS-98-08. 60–64. AAAI Press.
Oard, D., and Kim, J. (1998) Implicit Feedback for Recommender Systems. In Kautz, H. (Ed.), Recommender Systems. In Proceedings of the AAAI Workshop on Recommender Systems, July 1998. AAAI Press.
Pazzani, M. (1999) A Framework for Collaborative, Content-Based and Demographic Filtering. Artificial Intelligence Review, 13 (5–6), 393–408.
Resnick, P. and Varian, H. R. (1997) Recommender Systems. Communications of the ACM, 40 (3), 56–58.
Ricci, F. and Del Missier, F. (2004) Supporting Travel Decision Making Through Personalized Recommendation In Karat, C.M., Blom, J., and Karat, J. (Eds.), Designing Personalized User Experiences for eCommerce, Kluwer.
Sarwar, B. M., Karypis, G., Konstan, J. and Riedl, J. (2002) Recommender Systems for Large-Scale E-Commerce: Scalable Neighborhood Formation Using Clustering. In Proceedings of the Fifth International Conference on Computer and Information Technology, December 2002, East West University, Bangladesh.
Schafer, J. B., Konstan, J. and Riedl, J. (1999) Recommender Systems in E-Commerce. In EC’ 99: Proceedings of the First ACM Conference on Electronic Commerce, November 3–5, 1999, Denver, CO. 158–166.
Sebastiani, F. (2002) Machine Learning in Automated Text Categorization. ACM Computing Surveys, 34 (1), 1–47.
Semeraro, G., Abbattista, F., Degemmis, M., Licchelli, O., Lops, P., Zambetta, F. (2003) Agents and Personalisation for Develo** Intelligent e-Business Applications. In Corchuelo, R., Ruiz Cortés, A. and Wrembel, R. (Eds.), Technologies Supporting Business Solutions, Part IV: Data Analysis and Knowledge Discovery. Chapter 7, 163–186. Nova Sciences Books and Journals.
Semeraro, G., Andersen, H. H. K., Andersen, V., Lops, P. and Abbattista, F. (2003) Evaluation and Validation of a Conversational Agent Embodied in a Bookstore. In Carbonell, N. and Stephanidis, C. (Eds.)., Universal Access: Theoretica Perspectives, Practice and Experience, Lecture Notes in Computer Science, vol. 2615. 360–371. Springer, Berlin.
Shardanand, U., Maes, P., 1995. Social Information Filtering: Algorithms for automating “word of mouth” In Proceedings of the Conference on Human Factors in Computing Systems, May 7–11. 210–217, Denver, CO. ACM Press.
Terveen, L. and Hill, W. (2001) Human-Computer Collaboration in Recommender Systems. In J. Carroll (Ed.), Human Computer Interaction in the New Millenium. 223–242. Addison-Wesley, New York.
Tuzhilin, A. and Adomavicius, G. (1999) Integrating user behaviour and collaborative methods in recommender systems. In CHI’ 99 Workshop on Interacting with Recommender Systems, May 1999, Pittsburgh, PA, USA.
Witten, I. H. and Frank, E. (1999). Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann Publishers, San Francisco.
Yao, Y. Y. (1995) Measuring Retrieval Effectiveness Based on User Preference of Documents. In Journal of the American Society for Information Science, 46 (2), 133–145.
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Degemmis, M., Lops, P., Semeraro, G., Costabile, M.F., Guida, S.P., Licchelli, O. (2004). Improving Collaborative Recommender Systems by Means of User Profiles. In: Karat, CM., Blom, J.O., Karat, J. (eds) Designing Personalized User Experiences in eCommerce. Human-Computer Interaction Series, vol 5. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2148-8_14
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DOI: https://doi.org/10.1007/1-4020-2148-8_14
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