0 times,this article discusses the personalized service demand based on explicit behavior and tacit behavior,analyzes the user demand for recommendation service,and constructs a user information demand transformation model based on recommendation service.

This paper analyzes the shortages of Apriori algorithm, puts forward the method for improving, and introduces the application of the improved algorithm in digital library’s recommendation service.

Thus service recommendation systems which could help users more quickly find the information they need receive extensive attention.

The mechanism of Web service recommendation based on UDDI service subscription;

Service of recommending academy makes a classification of colleges in accordance with the students\' request, and recommends the most suitable colleges to the students.