Construction And Application Of Guangdong CTS Precision Marketing

As new network technologies continue to emerge,such as the mobile Internet and the Internet of Things,more and more big data applications are causing huge changes in management models and operating systems in various profession,and bringing promising prospects.In the era of big data,the marketing and promotion activities of tourism will increasingly be based on data and analysis,rather than traditional marketing methods.On the one hand big data has brought broad development prospects to the tourism market,and on the other hand has also intensified the competition in the tourism market.With the intensification of competition in the tourism market,the seller's market has now turned to the buyer's market.Consumers have become more prominent in the buyer's market.Personalized demand for services has become the mainstream attitude.As a traditional enterprise in the tourism industry with many years of history,Guangdong China Travel has a good reputation,but compared with other companies,especially online travel agencies OTAs who are carrying Internet genes,Guangdong China Travel still has a lot of marketing ability and room for improvement.Therefore,this article is based on a data-driven perspective,and combines relevant concepts user portraits,personalized recommendation algorithms,and accurate travel recommendation systems to analyze new ideas for realizing precise tourism marketing.Firstly,based on the analysis of tourist user portraits from concept,classification to construction,a precise marketing implementation plan based on user portraits was proposed,and a specific experimental case based on user portrait clustering was implemented,and visualized the results.Because of the needs of precision marketing business,the design of tourist attraction recommendation algorithm based on user clustering is implemented,which proves the effectiveness of the recommendation system and also proposes a new practical way to solve the problem of precise tourism marketing.Finally,the overall design of the precision travel recommendation system of Guangdong China Travel Service is proposed,and the core function modules of the recommendation system are completed based on the previous research on the recommendation algorithm.The contribution of this article is mainly reflected in: taking the actual marketing problems of Guangdong CTS as a guide,taking theoretical research as the basis,and focusing on the practical application of technical improvement.Firstly,putting forward the construction of precise tourism marketing based on user portraits,and using user clustering algorithms to realize user division;secondly,a personalized recommendation algorithm fortourist attractions was implemented through a feasibility experiment method;and finally,a precise tourism recommendation system for Guangdong CTS was designed based on the tourist attraction recommendation algorithm.This article has provided ideas for Guangdong CTS to transform and upgrade through precision marketing.