Abstract:

For the traditional Web recommendation based on clustering algorithms has low recommend accuracy, a Web recommended model based on Web log mining was pro
posed, and a main algorithm combined with fuzzy cluster and association rule mining was presented to realize the model. Experiments show the model and the algorithm keep the Web recommending covering rate and also have a higher accuracy.

Key words: Web page recommendation, fuzzy clustering, association rules mining, Web log mining