Abstract
This paper discusses the use of artificial neural networks, trained with patterns extracted from trail data, as recommender systems. Feed-forward Multilayer-Perceptrons trained with the Backpropagation Algorithm were used to assign a rating to pairs of domains, based on the number of people that had traversed between them. The artificial neural network constructed in this project was capable of learning the training set to a great extent, and showed good generalizational capacities.
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John S. Breese, David Heckerman, and Carl Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, pages 43–52, July 1998.
Jeffrey Dean and Monika R. Heinzinger. Finding related pages in the world wide web. In Proceedings of the Eigth World-Wide Web Conference, pages 1467–1479, 1999.
Siegfried Reich, Leslie A. Carr, David C. DeRoure, and Wendy Hall. Where have you been from here? Trails in hypertext systems. ACM Computing Surveys — Symposium on Hypertext (published as electronic supplement), 31(4), December 1999.
Siegfried Reich and Erich Gams. Trailist-focusing on document activity for assisting navigation. In Proceedings of the Twelfth ACM Conference of Hypertext and Hypermedia, pages 29–30, August 2001.
Paul Resnick and Hal R. Varian. Recommender systems. Communications of the ACM, 40(3):56–58, March 1997.
D. Rumelhart, G. Hinton, and J. McClelland. Learning internal representations, 1986.
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© 2002 Springer-Verlag Berlin Heidelberg
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Berka, T., Behrendt, W., Gams, E., Reich, S. (2002). Recommending Internet-Domains Using Trails and Neural Networks. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2002. Lecture Notes in Computer Science, vol 2347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47952-X_39
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DOI: https://doi.org/10.1007/3-540-47952-X_39
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