Build a precision marketing prediction model for Intelligent Recommendation Technology
Konferenz: CIBDA 2022 - 3rd International Conference on Computer Information and Big Data Applications
25.03.2022 - 27.03.2022 in Wuhan, China
Tagungsband: CIBDA 2022
Seiten: 3Sprache: EnglischTyp: PDF
Autoren:
Li, Xiangxiang; Tian, Chuan; Miu, Qichen (Jiangxi Tourism & Commerce Vocational College, Nanchang, Jiangxi, China)
Inhalt:
In order to realize accurate marketing for retail points, the application of SPM-CF model and collaborative filter algorithm is very necessary. It can make sales prediction for retail points, and solve the problem of retail data differences between different retail points based on collaborative filtering algorithm. The results of the order data using the test data demonstrate the effectiveness of the SPM-CF model.