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Recommended method, electronic equipment and computer storage medium for e-books

A technology of e-books and bookshelves, applied in the computer field, can solve the problems of users' aesthetic fatigue, inability to select favorite books, single display form of e-books, etc., and achieve the effect of preventing aesthetic fatigue

Active Publication Date: 2021-03-05
ZHANGYUE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in the process of realizing the present invention, the inventors have found that the above-mentioned solutions in the prior art have at least the following defects: on the one hand, due to the limited number of books on the bookstore page, users often cannot choose their favorite books on the bookstore page. Problem; on the other hand, the display form of e-books on the bookstore page is single, and the display form is fixed as the cover plus content introduction. The same display method will easily lead to aesthetic fatigue of users

Method used

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  • Recommended method, electronic equipment and computer storage medium for e-books
  • Recommended method, electronic equipment and computer storage medium for e-books
  • Recommended method, electronic equipment and computer storage medium for e-books

Examples

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Embodiment 1

[0026] figure 1 A flow chart of an e-book recommendation method provided by an embodiment of the present invention is shown. Wherein, "recommendation" in the present invention can also be understood as "push", and the present invention does not limit the specific implementation manner of recommendation. Such as figure 1 As shown, the method includes the following steps:

[0027] Step S110: Obtain the user portrait data of the reading user.

[0028] Wherein, the user portrait data of the reading user refers to data used to describe user characteristics such as the user behavior and user preference of the reading user, and the present invention does not limit the specific connotation of the user portrait data. Since the function of obtaining user portrait data in the present invention is to facilitate recommending books that match the user’s interest preferences to the current user, so as to realize personalized recommendations, correspondingly, any feature data that helps to...

Embodiment 2

[0036] figure 2 A flow chart of a method for recommending an e-book provided by another embodiment of the present invention is shown. Such as figure 2 As shown, the method includes the following steps:

[0037] Step S210: Obtain the user portrait data of the reading user.

[0038] In this embodiment, the user portrait data includes: reading behavior data, bookshelf record information and / or user preference information. Among them, the reading behavior data is used to reflect information such as the number of books that the user has browsed, the title of the book, and the browsing time. The bookshelf record information includes all book information that the user has added to books, and the bookshelf record information can reflect the user's preferences and purchase records. The user preference information is used to reflect the user's preference for the preset field. For example, there are users who prefer literature and users who prefer popular science. Correspondingly, ...

Embodiment 3

[0073] An embodiment of the present application provides a non-volatile computer storage medium, 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 above method embodiments.

[0074] Specifically, the executable instruction can be used to make the processor perform the following operations:

[0075] Obtain the user portrait data of the reading user;

[0076] According to the user portrait data of the reading user and the preset golden sentence screening rules, filter the golden sentence set matching the reading user from the preset golden sentence database;

[0077] The selected golden sentence set is displayed on a preset golden sentence list page, so as to recommend an e-book corresponding to the golden sentence set to the reading user through the golden sentence list page.

[0078] In an optional manner, the user portrait data includes: reading behavior d...

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Abstract

The invention discloses a method for recommending an electronic book, an electronic device, and a computer storage medium. The method includes: obtaining user portrait data of a reading user; according to the user portrait data of the reading user and preset golden sentence screening rules, from Screen the set of golden sentences matched with the reading user in the preset golden sentence database; display the filtered golden sentence set in the preset golden sentence list page, so as to pass the golden sentence list page to the reader The user recommends an e-book corresponding to the set of golden sentences. It can be seen that this method can recommend a personalized set of golden sentences for the reading user's user portrait data, so as to better meet the actual needs of the reading user; Sentence-related books can prevent users from aesthetic fatigue, and this recommendation method can meet thousands of people and make users feel refreshed.

Description

technical field [0001] The invention relates to the field of computers, in particular to a method for recommending electronic books, electronic equipment and computer storage media. Background technique [0002] At present, with the improvement of reading awareness, the number of e-book users is increasing. In order to facilitate users to choose suitable books, many e-book platforms provide e-book recommendation functions. Usually, the e-book platform provides a special bookstore page, and users can click on the bookstore page to browse related introductions of popular books, so as to select suitable books through the bookstore page. [0003] However, in the process of realizing the present invention, the inventor found that the above-mentioned scheme in the prior art has at least the following defects: on the one hand, due to the limited number of books on the bookstore page, it often happens that the user cannot select the favorite book on the bookstore page. Problem; on ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535
Inventor 索珊珊高鹏飞文思远周若松王晓迪
Owner ZHANGYUE TECH CO LTD
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