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Exploiting additional item meta-data is proposed in this paper for solving data sparsity and cold start problems found in item-based collaborative filtering (CF) techniques, which are employed in recommendation systems. Additional item meta-data provides the foundation for generating a heterogeneous information network (HIN). The proposed approach is to enrich the item-based CF with diverse types...
With the rapid growth of data mining technologies and data mining tools, data mining will be applied more widely in various areas. In this paper we will introduce some models and solutions of data mining, especially we place more emphasizes on the applications of the associated rules and solutions of data mining in e-commerce.
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