Book recommendation method for bookshelf page, computing device and storage medium

Abstract

The invention discloses a book recommendation method for a bookshelf page, computing equipment and a storage medium. The method comprises the following steps: receiving a bookshelf page access operation of a user; obtaining the sorting characteristics of the books on the bookshelf of the user, inputting the sorting characteristics of the books on the bookshelf into a preset sorting model for calculation, and determining the sorting score of each book to be recommended for the user according to the calculation result; and screening at least one to-be-recommended book according to the sequence of the sorting scores of the to-be-recommended books from high to low, and presenting the at least one to-be-recommended book in the book recommendation position of the bookshelf page. By means of the method, the book recommendation positions are arranged in the bookshelf pages, books can be recommended on the bookshelf pages, meanwhile, the sequence of all the to-be-recommended books of the user is determined according to the sequence of the bookshelf books of the user, the sequence of all the to-be-recommended books better fits the preference of the user, and the recommendation effect of the book recommendation positions can be improved.

Description

technical field [0001] The invention relates to the field of Internet technologies, and in particular to a book recommendation method, computing device and storage medium for bookshelf pages. Background technique [0002] At present, with the popularization of mobile terminals and the development of e-book reading platforms, more and more users use e-book reading platforms to read e-books. The e-book reading platform will recommend books for users. It usually recommends books by pushing messages to users, but the push messages are easily ignored or even cleared by users. The platform will also set up a special book recommendation page to display a large number of books for users to browse. and filtering, but users who focus on reading tend to use precise search to find books, and rarely browse book recommendation pages to find books. In a word, the recommendation success rate of the existing book recommendation method is low, and the recommendation effect is not good. SUM...

AI Technical Summary

Problems solved by technology

The e-book reading platform will recommend books for users, usually by pushing messages to users to recommend books, but the push messages are easily ignored or even cleared by users, and the platform will also set up a special book recommendation page to display a large number of books for users to browse and filtering, but users who focus on reading tend to use precise search to find books, and rarely browse book recommendation pages to find books

In short, the recommendation success rate of the existing book recommendation methods is low, and the recommendation effect is not good.

Images