E-commerce recommendation system of integrated semantic information
Zhiyong Feng · Computer Engineering and Applications Journal · 2007
There exists many problems in the recommended approaches in being,such as data sparsity problem,new-item problem and scalability problem.In this study,combining the semantic similarity with the product taxology,a product semantic relevance model is set up,the structure of this model is acquired by the training of an industry semantic training center,finally semantic information extracted from products is integrated with current Item-Based Collaborative Filtering approach.The results of this study indicate that the approach can resolve data sparsity problem and new-item problem to some extent.