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The Design And Implementation Of Personalization Recommendation Platform For City Crossing And Orienteering Activity

Posted on:2021-06-22Degree:MasterType:Thesis
Country:ChinaCandidate:W S ZengFull Text:PDF
GTID:2518306308969829Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With the development of society,the per capita living standard has been continuously improved,and the consumption structure has changed.Material demand is no longer the biggest demand for people's quality of life.In the current stage of society,spiritual needs are constantly expanding.People no longer use all their income to buy materials.In daily necessities,gradually consume leisure products and services.City crossing and orienteering activity are a healthy and intelligent exercise.This article will investigate,analyze and summarize the establishment and implementation of sports events,combine the "Internet Plus" model,and finally propose a method that can reduce the labor costs required to create activity projects offline and provide users with better and more convenient online experience platform.For the above purposes,the main specific work completed in this article is as follows.First,based on the specific needs of existing activity projects,this article conducts a specific analysis,and designs and implements a personalized recommendation platform for city crossing and orienteering activity.From the perspective of the overall architecture design of the platform,it mainly includes user-oriented mobile terminal interfaces,administrator-oriented WEB terminal interfaces,back-end data interfaces,data storage systems and data processing modules.Secondly,in order to give users a better online experience,personalized activity suggestions are proposed.Combining the real scene and the accuracy of the model,based on the traditional machine learning method FM and the deep learning model DSSM,a DSSMFM model is proposed.Data experiments were performed on the base model and the new model proposed in this paper.Experimental data show that the model proposed in this paper has good personalized recommendation results.This article designs and implements a personalized recommendation platform for city crossing and orienteering activity according to actual needs.This platform effectively base on the above work content,digitally processes the traditional offline activities,which not only saves costs,but also brings user convenient and smooth online experience.
Keywords/Search Tags:dssm, fm, deep learning, information platform system, personalization recommendation
PDF Full Text Request
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