Recommending Internet-Domains Using Trails and Neural Networks
نویسندگان
چکیده
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.
منابع مشابه
A Trail Based Internet-Domain Recommender System using Artificial Neural Networks
This paper discusses the use of artificial neural networks, trained with patterns extracted from trail data, as recommender systems. More specifically, 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 have traversed between them. This rating, applied to the hyper-graph neighborhood...
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