Research of personalized recommender system based on data mining on magnanimity data
Ye Guo, Xinan Yang · Journal of Northwest University · 2006
Aim To setup a personalized recommender system based on on data mining on magnanimity data.Methods Present a personalized recommender system model combining the text categorization with the pagerank.The features of pages were extracted in order to form the feature vector,which will be used in computing the difference between the documents or with the user′s interests and the given domain.The links between the pages were divided into two parts,the inter-link and the intra-link,according to the position of pages.All links were of different weight in the link matrix.The final order of the documents was determined by the vector distance and the eigenvector of the link matrix.Results It combined the advantages of the method based on content and on links.Conclusion It is valuable to be researched in the future.