Usage Profile Generation from Web Usage Data Using Hybrid Biclustering Algorithm
International Journal of Applied Evolutionary Computation
Extraction of Target User Group from Web Usage Data Using Evolutionary Biclustering Approach
International Journal of Applied Metaheuristic Computing
A framework of hybrid recommender system for web personalisation
International Journal of Business Information Systems
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Predicting of user's browsing behavior is an important technology of E-commerce application. The prediction results can be used for personalization, building proper web site, improving marketing strategy, promotion, product supply, getting marketing information, forecasting market trends, and increasing the competitive strength of enterprises etc. In this paper, we use the hierarchical agglomerative clustering to cluster users' browsing behaviors. The prediction results by Two Levels of Prediction Model framework work well in general cases. However, Two Levels of Prediction Model suffer from the heterogeneity user's behavior. In this paper, we will improve Two Levels of Prediction Model to achieve higher hit ratio.