User personalized scenic spot recommendation system based on multi-order Markov dynamic model

Abstract

The invention discloses a user personalized scenic spot recommendation system based on a multi-order Markov dynamic model, and the system comprises a mobile phone APP, wherein the output end of the mobile phone APP is electrically connected with an information collection module, the output end of the right side of the information collection module is electrically connected with a satellite positioning server, and the satellite positioning server is electrically connected with the information collection module; the output end of the left side of the information collection module is electrically connected with a data processing unit, the output end of the bottom of the data processing unit is electrically connected with a comparison module, and the comparison module is electrically connected with the data processing unit. The problems that along with continuous expansion of the electronic commerce scale and rapid increase of the number and types of commodities, a user needs to spend a large amount of time to find information which the user wants to purchase, convenience cannot be brought to the user, and user demand information cannot be accurately pushed are solved; therefore, the effect of accurately pushing personalized scenic spots through data processing is achieved.

Description

technical field [0001] The invention relates to the technical field of personalized recommendation, in particular to a user personalized scenic spot recommendation system based on a multi-order Markov dynamic model. Background technique [0002] When observing and browsing Maldives information, users need to use a personalized scenic spot recommendation system. However, with the continuous expansion of e-commerce and the rapid growth of the number and types of goods, users need to spend a lot of time to find the information they want to buy. Bring convenience to users, and cannot accurately push user demand information. Contents of the invention [0003] In order to solve the problems raised in the above-mentioned background technology, the purpose of the present invention is to provide a user personalized scenic spot recommendation system based on a multi-order Markov dynamic model, which has the advantages of accurate data processing and personalized scenic spot push, an...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problems raised in the above-mentioned background technology, the purpose of the present invention is to provide a user-based personalized scenic spot recommendation system based on a multi-order Markov dynamic model, which has the advantages of accurate data processing and personalized scenic spot push, and solves the problem of With the continuous expansion of the scale of e-commerce and the rapid growth of the number and types of goods, users need to spend a lot of time to find the information they want to buy, which cannot bring convenience to users, and cannot accurately push the information that users need.

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