Collaborative Filtering Recommendation Algorithm Research Based on Web Blocks
Xinyou Li · Computer Technology and Development · 2010
With development of Internet,personalized service demand rapidly increased.Information extraction and recommendation based web page structure is one of three web data mining's research fields.Key technology of the research is how to recognize web page's organization form and mine the needed information.Personalized recommender system based web data mining can meet the need of the Internet's future development trends.Compared with based on web page,the based web block is more accordant to the fact and the advantage of granularity is evident.In this paper,with one set of data as an example collaborative filtering recommendation algorithm was elaborated based on web data mining how to work in the progress of data expression,neighbors queries and recommend generation.