A Personalized Advertising Push Framework Based on Measurement Similarity and Data Integration

Efficient and accurate screening of key information with high credibility and user interest from massive information and data is one of the research focuses of the information service industry. The pull service method based on search engines and the information push service are currently the two main channels for obtaining information. The level of economic development in rural areas in my country is lagging, and farmers' cultural qualities are generally low. It is not realistic to adopt search engine-based information acquisition methods, and information push services are more suitable for rural areas. Based on the measurement of similarity and data integration, this paper studies the personalized advertising push framework used in the Internet era.