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Electronic book recommendation method, electronic equipment and storage medium

A recommendation method and e-book technology, applied in the field of e-books, can solve problems such as rigid and single recommendation methods, poor recommendation effects, and failure to consider the different reading needs of different users, so as to achieve the effect of improving the reading experience

Pending Publication Date: 2022-07-01
ZHANGYUE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This recommendation method is relatively rigid and single, and does not take into account the different reading needs of different users. As a result, the e-books recommended for different users in different scenarios are the same, and the recommendation effect is poor.

Method used

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  • Electronic book recommendation method, electronic equipment and storage medium
  • Electronic book recommendation method, electronic equipment and storage medium
  • Electronic book recommendation method, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] figure 1 A schematic flowchart of a method for recommending an e-book according to an embodiment of the present invention is shown, such as figure 1 As shown, the method includes the following steps:

[0025] Step S101 , acquiring scene combination feature information of a first e-book currently interacted by a user, user feature information, and feature information of a candidate second e-book to be recommended.

[0026] The first e-book is an e-book currently interacting with the user, such as an e-book the user is reading, or an e-book queried by the user, and the like. In this embodiment, according to the user's current interaction with the first electronic book, the currently interacting first electronic book and the current interaction scene can be determined, so as to obtain scene combination feature information of the first electronic book. The scene combination feature information of the first e-book includes not only the feature information of the first e-bo...

Embodiment 2

[0039] figure 2 A schematic flowchart of a method for recommending an e-book according to another embodiment of the present invention is shown, such as figure 2 As shown, the method includes the following steps:

[0040] Step S201: Obtain the first e-book currently interacted by the user and the current scene tag, bind the feature information of the first e-book with the scene tag, obtain the scene combination feature information of the first e-book, and obtain the user feature information and candidate information. Feature information of the second e-book to be recommended.

[0041] When the user interacts with the e-book in the e-book application, including, for example, the user clicks on the e-book to enter the e-book details display page; or, the user enters information to query the e-book, and then returns to the query page after clicking; or, the user clicks on the bookshelf page Select the e-book for editing and management operations, etc.; or, the user reads the e...

Embodiment 3

[0056] The third embodiment of the present application provides a non-volatile computer storage medium, where the computer storage medium stores at least one executable instruction, and the computer executable instruction can execute the e-book recommendation method in any of the foregoing method embodiments.

[0057] Executable instructions can specifically be used to cause the processor to perform the following operations:

[0058] Obtain the scene combination feature information of the first e-book that the user is currently interacting with, the user feature information, and the feature information of the candidate second e-book to be recommended; according to the scene combination feature information and user feature information of the first e-book, and The feature information of the e-book, determining the first cross feature information of the user feature information and the feature information of the second e-book, and determining the second cross feature of the scene ...

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PUM

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Abstract

The invention discloses an e-book recommendation method, electronic equipment and a storage medium. The method comprises the following steps: acquiring scene combination feature information of a first e-book currently interacted by a user, user feature information and feature information of a candidate to-be-recommended second e-book; according to the scene combination feature information of the first electronic book, the user feature information and the feature information of the second electronic book, first cross feature information of the user feature information and the feature information of the second electronic book is determined; determining second cross feature information of the scene combination feature information of the first electronic book and the feature information of the second electronic book; determining a recommendation weight of the second electronic book according to the scene combination feature information of the first electronic book, the user feature information, the feature information of the second electronic book, the first cross feature information and the second cross feature information; and determining the electronic book recommended to the user according to the recommendation weight of the second electronic book. According to the method, the recommendation effect is improved through the specific multi-dimensional feature information.

Description

technical field [0001] The invention relates to the field of electronic books, in particular to an electronic book recommendation method, an electronic device and a storage medium. Background technique [0002] E-book reading provides users with a convenient reading experience anytime, anywhere, attracting a large number of e-book users. When users read e-books, they will select e-books according to their reading preferences. E-book recommendation can help users find e-books quickly, saving users search time. [0003] However, when recommending e-books in the prior art, it only considers whether the e-books are similar. For example, if different users have read e-books of category XX, when recommending e-books for different users, they will continue to recommend e-books from category XX. This recommendation method is relatively rigid and single, and does not take into account the different reading needs of different users, resulting in the same e-books recommended for diff...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/9538G06K9/62
CPCG06F16/9535G06F16/9538G06F18/22G06F18/253
Inventor 王海璐
Owner ZHANGYUE TECH CO LTD