Method for establishing dynamic instant recommendation service model under mobile spatio-temporal awareness

Abstract

The invention discloses a method for establishing a dynamic instant recommendation service model under mobile spatio-temporal awareness. The method comprises the steps that a collected mobile user context log data set is preprocessed; a CIT-LDA theme model is used for extracting mobile spatio-temporal awareness information and user behavior preference change information under each time slice for semantic modeling; the drifting probability of the interested theme of a user is calculated through symmetric KL divergence, and an interest change point of the user is determined; evolution of a userinterest sub-theme drifting track is divided into three types; according to long-term interests, short-term interests and weight of each interest of the user, a user behavior preference model is determined; the personalized dynamic instant recommendation service model based on Top-K is determined. In a Hadoop parallel distributed computing environment, the CIT-LDA theme model, and exploratory research of personalized recommendation services on the basis of context awareness and user interest changes under the mobile internet is conducted by using the CIT-LDA theme model, constructing a user behavior preference change model and using a personalized recommendation method based on Top-K.

Description

technical field [0001] The present invention relates to the field of mobile Internet, and more specifically relates to a method for establishing a dynamic instant recommendation service model under mobile space-time perception. Background technique [0002] With the explosive growth of the mobile Internet, the rapid development of e-commerce and the rapid popularization of smart phones, especially the prevalence of location-based social networks and the emergence of O2O business models, the "new mobile Internet ecology" has grown rapidly around the world. It has greatly accelerated the penetration of the mobile information industry into all levels of social economy and the daily life of the public. Compared with the traditional PC Internet, the biggest difference between the mobile Internet lies in the word "mobile", and the information services provided by "mobile" penetrate into the real world because of people's movement, forming a stronger interaction with the real socie...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a method for establishing a dynamic instant recommendation service model under mobile space-time perception, which is used to solve the problem of insufficient consideration of context information in the mobile recommendation process in the prior art, as well as insufficient consideration of changes in user behavior preferences, which cannot be accurate and fast Find out the content that users are interested in from a large number of mobile applications and services to realize the problem of personalized recommendation service

Images