Big Data Based Recommendation Scheme in APP Marketing Field

摘要

In the traditional marketing activities, the key to success is to identify the potential needs of target users. An excellent recommendation system can help improve the effectiveness and efficiency of the precision marketing. In this paper, an Apriori algorithm based recommendation scheme is proposed, and it's then applied to the mobile APP marketing field. The scheme is realized through two processes, the frequent item sets generation process and the strong association rule generation process. Experimental results have shown that the scheme can achieve high advertising arrival rate, as well as superior exposure and click conversion rate. The effectiveness of the mobile APP product promotion has been improved dramatically.