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Book recommendation method and system based on social networking

A social network and recommendation method technology, applied in special data processing applications, instruments, electronic digital data processing and other directions, can solve the problem of few recommended methods, and achieve the effect of increasing click rate and order rate.

Inactive Publication Date: 2014-01-01
EB INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Many existing recommendation functions are based on the user's historical reading behavior or using collaborative filtering methods to recommend, but there are few recommendation methods for book recommendation based on the relationship and interaction between users.

Method used

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  • Book recommendation method and system based on social networking
  • Book recommendation method and system based on social networking
  • Book recommendation method and system based on social networking

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Embodiment Construction

[0018] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings.

[0019] Such as figure 1 As shown, a book recommendation method based on social network of the present invention includes:

[0020] Step 1. Extract the interaction information between the user and other users in the social network, construct several interactive friend groups for the user, and then divide other users who have successfully interacted with the user into different interactive friend groups according to their interaction types ;

[0021] The interactive information may include, but is not limited to: follow information, recommended book information, donated book information, and borrowed book information, and the interactive type may include, but is not limited to: follow type, recommended book type, donated book type, and borrowed book type;

[0022] The su...

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PUM

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Abstract

Disclosed is a book recommendation method and system based on social networking. The method includes the steps of 1, extracting a user's interactive messages with other users in a social network, establishing a plurality of interactive type friend groups for the user, and dividing the other users, who successfully interact with the user, into the different interactive type friend groups according to the interactive types; 2, calculating the number of successful interactions between the user and each friend in the interactive type friend groups, selecting several front friends, who successfully interact with the user for the most times, from each interactive type friend group, and recommending books, read by the several friends for the most times, to the user. The method and system belonging to the technical field of network communications has the advantages that books can be individually recommended according to interactions of users in the social network.

Description

Technical field [0001] The invention relates to a book recommendation method and system based on a social network, belonging to the technical field of network communication. Background technique [0002] As a new form of reading in the Internet era, mobile reading is gradually accepted by the majority of Internet users. How to accurately grasp the user's reading preferences and quickly push the information that suits the user's preferences to the user in a straight line is particularly important. Internet users tend to interact with other users or express their preferences through interactive methods such as recommendation, comment, and follow-up. How to make personalized book intelligent recommendation based on user preferences and interactive behavior is an important issue. [0003] Many existing mobile reading user spaces have the function of adding idols and friends, and friends can perform interactive activities such as book gifting, recommendation, and borrowing. Many existi...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06Q30/02G06Q50/01
Inventor 廖建新李曲王超芸崔晓茹赵贝尔
Owner EB INFORMATION TECH
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