Recommendation scheme definition method and device, medium and equipment

Abstract

The invention discloses a recommendation scheme defining method and device, a medium and equipment. The method comprises the steps of building a basic information list of recommendation schemes; creating a recommendation rule list of the recommendation scheme; creating a recommendation rule management list according to the recommendation rule list; and organizing the basic information list, the recommendation rule list and the recommendation rule management list into a user interface for a user to input an expected value. According to the invention, the basic information list and the recommendation rule list of the recommendation scheme are provided for the user, so that the client can carry out general definition of recommendation scheme configuration by one or more recommendation rules aiming at a certain scene and a specific crowd, recommendation of multiple scenes is realized, and therefore, the demand of constantly changing recommendation schemes generated by rapid business development of enterprises is met.

Description

technical field [0001] The invention belongs to the technical field of intelligent recommendation, and in particular relates to a method, device, medium and equipment for defining a recommendation scheme. Background technique [0002] With the rapid development of IT technology and the explosive growth of enterprise data, it brings new opportunities and challenges to the business of enterprises. By deploying an intelligent recommendation platform, enterprises use big data technology, artificial intelligence technology and machine learning algorithms to conduct in-depth mining of customer basic information and behavior data, gain insight into the characteristics of customers' "thousands of people and faces", and push personalized recommendations to customers through service channels. Recommendation information and marketing information can effectively promote the transformation of enterprises to intelligent marketing and service models, improve enterprise marketing efficiency...

AI Technical Summary

Problems solved by technology

Using the traditional method, in terms of development, it is only necessary to implement the configuration function of the recommended solution corresponding to a certain scenario, and there is no need to consider the configuration of other recommended solutions, which is relatively simple and fast to implement; in terms of user use, a scenario is configured with a solution , easy to operate and easy to maintain; but the disadvantages are also very obvious. The traditional method is not a general method, and cannot adapt to changes in scenarios and recommended solutions caused by business changes. New services and new scenario requirements require developers to develop New recommendation schemes and scene changes also require developers to modify the corresponding recommendation schemes, which will lead to slow response of the decision-making center to business needs, heavy development workload, and high maintenance costs

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