PRODUCT RECOMMENDATION METHOD AND APPARATUS BASED ON DATA ANALYSIS AND TERMINAL DEVICE

摘要

The present application relates to the technical field of big data, and disclosed are a product recommendation method and apparatus based on data analysis and a terminal device. The method comprises: when detecting a product recommendation request inputted by a user, obtaining a first product list according to the indication of the product recommendation request; determining a second product list from a general service scene logic by analyzing historical data of the user; removing products, belonging to the second product list, in the first product list from the first product list to obtain a third product list; and performing recommendation processing on the products in the third product list. By implementing the method, the number of recommended products can be reduced on the basis of ensuring the optionality of the recommended products, and the user experience is improved.