Recommendation copywriting generation method and device, electronic equipment and readable storage medium

Abstract

The embodiment of the invention discloses a recommendation copywriting generation method and device, electronic equipment and a readable storage medium. The recommendation copywriting generation method comprises the steps of obtaining a recommendation object for a target user according to dialogue interaction data of the target user; obtaining map entity information corresponding to the recommendation object according to a commodity knowledge map; according to interaction semantic information corresponding to the dialogue interaction data and the map entity information, obtaining a user demandvector of the target user and an entity vector of the recommendation object through a coding module based on a multi-head attention mechanism; and according to the user demand vector and the entity vector, obtaining a recommendation copywriting of the recommendation object through a decoding module based on a multi-head attention mechanism. The technical problems that existing recommendation copywriting is insufficient in flexibility and individuation and is difficult to meet the real-time requirements of users are solved. The beneficial effect of improving the matching degree of the recommendation copywriting and the real-time demand of the user is achieved.

Description

technical field [0001] The embodiments of the present application relate to the field of computer technology, and in particular to a method, device, electronic device, and readable storage medium for generating recommended text. Background technique [0002] With the development of AI (Artificial Intelligence, artificial intelligence) technology, related applications are generating more and more important commercial value and social influence. How to solve the trust mechanism in its decision-making process is the key to promoting the further development of artificial intelligence factor. For example, for a search system, the subject of evaluation is the user it faces, and the user is highly subjective, so the interpretability of the results will not only directly affect the effect of the search system, but also affect the user's trust and confidence in the system. Acceptance. In recent years, the explainable search system has attracted more and more attention. It can not o...

AI Technical Summary

Problems solved by technology

[0003] However, in the existing take-out, review and other platforms, there is a lack of marketing recommendation copy information that matches the user's current demand status for the recommended objects such as dishes and set meals, which is not conducive to user decision-making, and the traditional copy generation method requires a lot of time. manpower to create copywriting, and it is difficult to adapt to the real-time changes of user concerns in the dialogue scene, resulting in insufficient flexibility and personalization of recommended copywriting, and it is difficult to meet the real-time needs of users

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