Personalized pushing method based on user reading preference statistics of reading time

A reading time, user technology, applied in computing, special data processing applications, instruments, etc., can solve problems such as low efficiency of user information acquisition

Inactive Publication Date: 2017-05-31
ZHEJIANG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the low efficiency of user information acquisition in existing push methods, the present invention provides a personal

Method used

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  • Personalized pushing method based on user reading preference statistics of reading time
  • Personalized pushing method based on user reading preference statistics of reading time
  • Personalized pushing method based on user reading preference statistics of reading time

Examples

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Example Embodiment

[0058] The present invention will be further described below in conjunction with the drawings.

[0059] Reference figure 1 , A personalized push method based on user reading preference statistics based on reading time, including the following steps:

[0060] Step 1: Establish a calculation standard for the average reading time of electronic books;

[0061] Step 2: Judge the user's reading behavior;

[0062] Step 3: Establish the average reading speed of users;

[0063] Step 4: Calculate the reading time of a user's single article;

[0064] Step 5: Judging the reading completeness according to the user's actual reading time and average reading time;

[0065] Step 6: Establish user preference according to the completeness of user reading;

[0066] Step 7: Perform a matching similarity operation on the user preference vector and the article content feature vector to obtain the user's interest evaluation value for the unread article, and a series of articles with a higher interest evaluation...

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Abstract

The invention discloses a personalized pushing method based on user reading preference statistics of reading time. The method includes following steps: step 1, establishing calculating standards of average reading time of electronic reading materials; step 2, judging reading behaviors of a user; step 3, establishing average reading speed of the user; step 4, calculating reading time for a single article of the user; step 5, judging reading completeness according to actual reading time and the average reading time of the user; step 6, establishing preference degree of the user according to the reading completeness of the user; step 7, performing matching similarity operation on user preference vector and article content feature vector to acquire interest evaluation value of the user on an un-read article, and recommending a series of articles with high interest evaluation value to the user. The preference degree of the user is judged mainly according to article reading time and text information of the user, and then articles in which the user has interest are recommended to the user.

Description

technical field [0001] The invention belongs to the technical field of electronic reading materials, in particular to a method for counting preferences of electronic reading materials on mobile phones based on reading time, and proposes a personalized push scheme. Background technique [0002] The Internet is the most effective tool for people to share resources. However, in today's information explosion, what troubles people is no longer whether they have the information they want, but how to find the information they need accurately and accurately. Personalized information recommendation technology as a means of information filtering is an effective way to solve the current information overload problem. [0003] At present, the academic circles have done some research on the realization of personalization based on the user's behavioral interests. Xing Ling et al. proposed a mechanism for expressing and updating the user's interest model based on the user's browsing conte...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 徐俊项倩红朱书苗徐育忠余永海
Owner ZHEJIANG UNIV OF TECH
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