Research on Precision Marketing Strategy and Personalized Recommendation Method Based on Big Data Drive

Abstract

In view of the explosive growth of big data technology, precision marketing and personalized recommendation have also received the dividends of big data technology. The traditional extensive operation has not effectively combined the products of businesses with the needs of users, and the success rate of marketing is low, which has led to the crisis that operators may become “pipelines.” To meet the personalized needs of users and precision, marketing technology has been developed. This paper is based on big data technology and personalized recommendation algorithm theory and takes the marketing strategy of the actual telecommunications industry as an empirical research method. The experimental results verify that the analysis model based on big data has a good recommendation effect in precision marketing and personalized recommendation and confirm the advantages of the recommendation algorithm based on user collaborative filtering in personalized recommendation algorithm.