E-book promotion method, computing device and computer storage medium

Abstract

The invention discloses an electronic book promotion method, computing equipment and computer storage medium. Among them, the method includes: receiving the e-book promotion request sent by the first user, and judging whether the first user has the e-book promotion authority; if so, obtaining the first user's recommendation comment on the e-book, and generating a and the e-book promotion information of the first user's recommendation comments on the e-book; publishing the e-book promotion information. In this solution, only users with e-book promotion authority can generate e-book promotion information, which is conducive to improving the quality and credibility of e-book promotion information, thereby improving the promotion effect of e-books.

Description

technical field [0001] The invention relates to the technical field of e-books, in particular to an e-book promotion method, a computing device and a computer storage medium. Background technique [0002] E-books refer to publications that digitize information such as text, pictures, audio, and video. With the continuous development of technology and society, the number of e-books is also increasing rapidly, which also brings challenges to e-book sellers. In order to increase the sales volume of e-books, e-book sellers usually promote e-books in the early stage or during the sale of e-books. [0003] At present, in the process of promoting e-books, two recommendation methods are usually adopted. One is that the e-book platform generates corresponding promotion information for users to purchase according to the overall content of the e-book or the recommendation information of the e-book author. However, With this method, the promotion information of the same e-book is the ...

AI Technical Summary

Problems solved by technology

[0003] At present, in the process of promoting e-books, two recommendation methods are usually adopted. One is that the e-book platform generates corresponding promotion information for users to purchase according to the overall content of the e-book or the recommendation information of the e-book author. However, With this method, the promotion information of the same e-book is the same for all users, and the promotion information cannot be personalized. Moreover, the promotion information generated by this method is the promotion information generated from the perspective of the e-book platform or e-book author. , so that the credibility of promotional information is reduced, thereby reducing the promotional effect of e-books; the second is to generate corresponding promotional information based on the comments of users who read e-books. Although this method can meet the personalized needs of promotional information, however Since the users who generate the promotion information are uneven, the quality of the promotion information is low, and it is impossible to achieve a better e-book promotion effect

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