Film and television information recommendation method and device, electronic equipment and storage medium

Abstract

The invention provides a film and television information recommendation method and device, electronic equipment and a storage medium. The film and television information recommendation method comprises the steps: obtaining a first film and television label corresponding to a user from historical behavior data as portrait information of the user; obtaining a to-be-recommended program list corresponding to the first film and television label from a preset film and television program database according to the first film and television label, wherein the to-be-recommended program list is a list containing to-be-recommended film and television programs; calculating a recommendation index of the to-be-recommended film and television programs in the to-be-recommended program list through a presetalgorithm; and finally, screening the to-be-recommended film and television programs according to the recommendation indexes to generate a film and television program recommendation list corresponding to the user, and recommending film and television information to the user. The film and television information recommendation method is high in flexibility, can timely track the interest condition of the user at the current time point, can improve the accuracy of recommendation information, and can update recommendation quickly.

Description

technical field [0001] The present application belongs to the technical field of intelligent recommendation, and in particular relates to a video information recommendation method, device, electronic equipment and storage medium. Background technique [0002] With the development of Internet technology and information services, watching film and television works has become one of the ways people usually choose to relax after work. However, the amount of online film and television data is increasing exponentially, which not only brings people rich program resources, but also brings confusion to people, making it difficult for people to manually select the films and televisions they need from massive data. Work information. [0003] In related prior art, recommender system is considered to be one of the most effective methods to solve this problem. At present, there are technical problems such as lack of flexibility in the existing recommendation methods, and the inability t...

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present application provides a video information recommendation method, device, electronic equipment and storage medium to solve the lack of flexibility in the prior art and the inability to timely track the user's interest at the current point in time, so that the The accuracy of user recommendation information is low and the update speed is slow

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