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Reading plan recommendation system and method for e-books

A recommendation method and e-book technology, applied in the field of e-book reading, can solve problems such as inability for users to arrange reading plans, single function, etc.

Active Publication Date: 2020-12-01
SHENZHEN MPR TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It has the following disadvantages: the function is single, it can only serve as a reminder, and repeated reminders often occur. When the user finishes reading, the reminder message will be sent repeatedly
At the same time, it cannot reasonably arrange reading plans for users.

Method used

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  • Reading plan recommendation system and method for e-books
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  • Reading plan recommendation system and method for e-books

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0068] The configuration operation entrance recommended by the traditional reading plan is hidden deeply, and the configuration is troublesome. If the user needs the reminder function, it must be manually set through the client (such as: mobile phone APP). The reminder push setting is single and can only be fixed at certain points in time. The reminder method and reminder content are single, and the message notification can only be carried out inside the client APP. In the case of poor network, users cannot receive effective reminders, and the reminder message content is simple and single, which cannot motivate users well. The role of user reading; lack of a way of reading comparison and feedback presentation, users cannot intuitively see their reading progress and reading plan. Lack of user behavior analysis, can not track the user's reading. Such as: reading progress, reading time, daily reading time period, reading speed, book type hobbies and other characteristics.

[0...

Embodiment 2

[0098] The e-book reading recommendation system of the present invention provides a method for intelligently generating reading plans and sending message recommendation reminders. Users do not need to manually configure, the background server automatically analyzes and processes user log data and user basic information, rationally uses fragmented time, splits reading tasks, generates suitable reading plans for users, and selects appropriate reminder methods and reminder content for users.

[0099] Since the user's reading process is a regular process, such as:

[0100] 1) Find the books you are interested in according to your basic information such as hobbies and occupations;

[0101] 2) The reading time is not fixed and fragmented. Not all users can arrange a long period of time to read efficiently and conscientiously every day;

[0102] 3) Reading speed, periodic changes of reading time length.

[0103] In view of these characteristics, the reading assistant can effectivel...

Embodiment 3

[0118] Such as image 3 As shown, after the user completes the registration, set personal basic information through the personal details page, among which the user's date of birth, gender, occupation, hobbies and other basic information are filled in the 301 area, and click the 302 area to save.

[0119] After the user fills in the basic information, the server background will collect the basic information of the user as the basic information for later statistical user data.

[0120] Such as Figure 4 As shown, the user clicks on the central area of ​​the reading interface 401, and a toolbar pops up.

[0121] Such as Figure 5 As shown in , the user clicks the reading assistant control in area 502, or after the user reads the book for the first time, clicks the return button in area 501, and the reading assistant interface pops up automatically.

[0122] Such as Image 6 As shown, the server background generates a recommended reading plan for the user by comparing the curr...

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Abstract

The invention discloses a reading plan recommendation system and method for e-books, including: obtaining the personal information of the target user and the title of the e-book currently read by the target user; constructing a user group of the same type according to the personal information and the title of the book, and obtaining users of the same type The reading characteristics of other users in the group; obtain the reading characteristics of other users in the same user group, generate the first recommended reading plan, and recommend the first recommended reading plan to the target user; obtain the historical reading information of the target user's access to the book, according to The historical reading information counts the reading behavior characteristics of the target user; adjusts the first recommended reading plan according to the reading behavior characteristics, generates a second recommended reading plan, and recommends the second recommended reading plan to the target user. No user settings are required, and all data is based on the user's basic information, user reading behavior information, and personalized information to meet the individual needs of users.

Description

technical field [0001] The invention relates to the technical field of e-book reading, in particular to an e-book reading plan recommendation system and method thereof. Background technique [0002] In the traditional reading system, the general reading assistant sets the timing tasks manually by the user, and the server background sends a message reminder according to the timing task of the user, prompting the user to execute the arranged plan next. It has the following disadvantages: the function is single, and it can only serve as a reminder, and repeated reminders often occur. When the user finishes reading, the reminder message will be sent repeatedly. At the same time, it cannot reasonably arrange reading plans for users. Contents of the invention [0003] Aiming at the deficiencies of the prior art, the present invention proposes a reading plan recommendation system for e-books and its method, a terminal and a server. , the server intelligently splits reading task...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04M1/725H04L29/08
CPCH04M1/72451H04L67/55
Inventor 李政放常治国肖文龙
Owner SHENZHEN MPR TECH CO LTD
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