Abstract:For the problem of low precision to both experience satisfaction and personalized requirement of Internet mobile terminal

based on the recommendation method of analyzing information system

a method of mobile APP information recommendation based on user similarity and subject similarity is proposed

which generated information recommendation by the weighted combination of user similarity and personalized

that the recommended information is more personalized

and the recommended accuracy is improved. At the same time

a recommendation algorithm based on complex interest is proposed

which makes the recommendation information more accurate by mining the similarity between users

the behavior of users and the orientation of interest for the recommendation problem of multiuser public account and interest change. Compared with the Popular which has better performance

the algorithm improves the accuracy rate by 3.91%

the recall rate is 3.45%

the coverage rate is improved by 4.84%

and the performance is improved obviously. Therefore

the method proposed in this paper is used to the personalized recommendation of APP

which provides a new method for mobile APP′s personalized recommendation.