Abstract
Nowadays, the explosive growth of the Internet has brought us such a huge number of books, publications, and documents that hardly any student can consider all of them. Finding the right book at the right time is an exhausting and time-consuming task, especially for new students who have diverse learning styles, needs, and interests. Moreover, the growing number of books in one subject can overwhelm students trying to choose the right book. This paper overcomes this challenge by ranking books using the pyramid collaborative filtering method. Based on this method, we have designed and implemented an agent called Discovering Intelligent Agent (DIA). The agent searches both the University of Montreal’s and Amazon’s library and then returns a list of books related to students’ models and contents of the books.
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References
Balabanovic, M., Shoham, Y.: Fab: Content-based, collaborative recommendation as classification. Communications of the ACM, 66–70 (March 1997)
Breese, J.S., Heckerman, D., Kadie, C.: Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, UAI 1998, San Francisco, USA, July 1998, pp. 43–52 (1998)
Bueno, D., Conejo, R., David, A.: METIOREW: An Objective Oriented Content Based and Collaborative Recommending System. In: Revised Papers from the international Workshops OHS-7, SC-3, and AH-3 on Hypermedia: Openness, Structural Awareness, and Adaptivity, pp. 310–314 (2002)
Corfield, A., Dovey, M., Mawby, R., Tatham, C.: JAFER ToolKit project: interfacing Z39.50 and XML. In: Proceedings of the second ACM/IEEE-CS joint conference on Digital libraries, Portland OR, USA, pp. 289–290 (2002)
Dahlen, B.J., Konstan, J.A., Herlocker, J.L., Good, N., Borchers, A., Riedl, J.: Jumpstarting movielens: User benefits of starting a collaborative filtering system with dead data. Technical Report TR 98-017, University of Minnesota, USA (1998), http://movielens.umn.edu
Goldberg, K., Roeder, T., Gupta, D., Perkins, C.: Eigentaste: A constant time collaborative filtering algorithm. Information Retrieval 4(2), 133–151 (2001)
Herlocker, J.L., Konstan, J.A., Riedl, J.: Explaining Collaborative Filtering Recommendations. In: Proceedings of the ACM 2000 Conference on Computer Supported Cooperative Work, CSCW 2000, Philadelphia PA, USA, pp. 241–250 (2000)
Hirooka, Y., Terano, T., Otsuka, Y.: Recommending books of revealed and latent interests in e-commerce. In: Industrial Electronics Society, the 26th Annual Conference of the IEEE, IECON 2000, Nagoya, Japan, October 2000, vol. 3, pp. 1632–1637 (2000)
Huang, Z., Chung, W., Ong, T., Chen, H.: Studying users: A graph-based recommender system for digital library. In: Proceedings of the second ACM/IEEE-CS joint conference on Digital libraries, Portland OR, USA, pp. 65–73 (2002)
Joachims, T., Freitag, D., Mitchell, T.: WebWatcher: A Tour Guide for the World Wide Web. In: Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI 1997, Nagoya, Japan, pp. 770–777 (1997)
Konstan, J.A., Miller, B.N., Maltz, D., Herlocker, J.L., Gordon, L.R., Riedl, J.: GroupLens: Applying collaborative filtering to Usenet news. Communications of the ACM 40(3), 77–87 (1997)
Lieberman, H.: Letizia: An Agent That Assists Web Browsing. In: International Joint Conference on Artificial Intelligence, IJCAI-1995, Montreal, Canada, August 1995, pp. 924–929 (1995)
Linden, G., Smith, B., York, J.: Amazon.com recommendations: item-to-item collaborative filtering. Internet Computing, IEEE 7(1), 76–80 (2003)
Lynch, C.: Personalization and Recommender Systems in the Larger Context: New Directions and Research Questions. In: Second DELOS Network of Excellence Workshop on Personalization and Recommender Systems in Digital Libraries, Dublin, Ireland (June 2001)
Mooney, R.J., Roy, L.: Content-based book recommending using learning for text categorization. In: Proceedings of the Fifth ACM Conference on Digital Libraries, DL 2000, San Antonio TX, USA, June 2000, pp. 195–204 (2000), http://www.cs.utexas.edu/users/libra/
Razek, M.A., Frasson, C., Kaltenbach, M.: Using Machine Learning approach To Support Intelligent Collaborative Multi-Agent System. In: Technologies de l’Information et de la Communication dans les Enseignements d’ingénieurs et dans l’industrie, TICE2002, Lyon, France (November 2002)
Razek, M.A., Frasson, C., Kaltenbach, M.: A Context-Based Information Agent for Supporting Intelligent Distance Learning Environments. In: The Twelfth International World Wide Web Conference, Budapest, Hungary (May 2003)
Razek, A.M., Frasson, C., Kaltenbach, M.: Building an Effective Groupware System. In: IEEE/ITCC 2004 International Conference on Information Technology, Las Vegas NV, USA (April 2004)
Sarwar, B.M., Karypis, G., Konstan, J.A., Reidl, J.: Analysis of recommendation algorithms for e-commerce. In: Proceedings of the ACM Conference on Electronic Commerce, New York NY, USA, pp. 158–167 (2000)
Sarwar, B.M., Karypis, G., Konstan, J.A., Reidl, J.: Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th International World Wide Web Conference,WWW10, Hong Kong, May 2001, pp. 285–295 (2001)
Schafer, J.B., Konstan, J.A., Riedl, J.: Recommender systems in e-commerce. In: Proceedings of the ACM Conference on Electronic Commerce, EC 1999, Denver CO, USA, November 1999, pp. 158–166 (1999)
Schafer, J., Konstan, J., Riedl, J.: E-commerce recommendation applications. Data Mining and Knowledge Discovery 5, 115–153 (2001)
Tang, T.Y., McCalla, G.: Towards Pedagogy-Oriented Paper Recommendation and Adaptive Annotations for a Web-Based Learning System. In: 18th International Joint Conference on Artificial Intelligence, Workshop on Knowledge Representation and Automated Reasoning for E-Learning Systems, IJCAI 2003, Acapulco, Mexico, August 2003, pp. 72–80 (2003)
Zaïane, O.R.: Building a Recommender Agent for e-Learning Systems. In: Proceedings of the 7th International Conference on Computers in Education, ICCE 2002, Auckland, New Zealand, December 2002, pp. 55–59 (2002)
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Yammine, K., Razek, M.A., Aïmeur, E., Frasson, C. (2004). Discovering Intelligent Agent: A Tool for Helping Students Searching a Library. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds) Intelligent Tutoring Systems. ITS 2004. Lecture Notes in Computer Science, vol 3220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30139-4_68
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DOI: https://doi.org/10.1007/978-3-540-30139-4_68
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