Network self-service intelligent book recommendation system

A self-service and intelligent technology, applied in the field of recommendation system, can solve the problems of time-consuming cost, time-consuming, user disgust, etc., and achieve the effect of accurate character and type

Inactive Publication Date: 2021-04-27
XUCHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, although this method can accurately recommend suitable online novels for users, this method requires the accumulation of early data, so as to make a correct judgment on the user's personality and recommend suitable online novels. It takes a lot of time in the early stage and consumes a lot of time cost. At the same time, when the early recommendation is inaccurate, it may also cause the user's resentment

Method used

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  • Network self-service intelligent book recommendation system
  • Network self-service intelligent book recommendation system
  • Network self-service intelligent book recommendation system

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Embodiment Construction

[0042] A specific embodiment of the present invention will be described in detail below in conjunction with the accompanying drawings, but it should be understood that the protection scope of the present invention is not limited by the specific embodiment.

[0043] Specifically, such as Figure 1-4 As shown, the embodiment of the present invention provides a network self-service intelligent book recommendation system, including: a user information collection module, a user character judgment module, a user database, a friend character collection module, a user characteristic output module, an intelligent recommendation module and a recommendation module. database. In the following, each module is introduced separately.

[0044] The user information collection module is used to obtain the user's mobile phone number and the names of all APPs installed on the user's mobile phone; this module accesses the user's mobile phone number and the names of the APPs installed on the user'...

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Abstract

The invention discloses a network self-service intelligent book recommendation system. The system comprises a user information acquisition module, a user character judgment module, a user database, a friend character acquisition module, a user characteristic output module, an intelligent recommendation module and a recommendation database. According to the invention, a method comprises the steps: acquiring the type of the APP installed in the mobile phone of the user, and acquiring the character of the user; combining the character of the contact person of the mobile phone of the user, obtaining the characteristics of the user in a weighting mode, and finally performing network novelty recommendation of the proper type on the user according to the characteristics of the user; when the personality of the user is obtained, employing a supervised learning model building and training mode, so the obtained personality of the user is more accurate; searching the corresponding personality in the database through the number information of the mobile phone contact person, and the weighted weight value of the contact person is determined according to the contact frequency of the mobile phone address book, so the type of the network novel finally recommended to the user is more accurate.

Description

technical field [0001] The invention relates to the field of recommendation systems, in particular to a network self-service intelligent book recommendation system. Background technique [0002] Internet novels are a new type of novels that have emerged with the rapid development of the Internet, and are currently loved by the majority of netizens. This type of novels has many themes and can meet users with different needs. Therefore, how to recommend online novels to suitable users is also an important issue. [0003] At present, when recommending online novels to suitable users, the method used is: first obtain the webpages frequently visited by users, analyze the user's personality according to the types of webpages frequently visited by users, and then recommend corresponding information to users according to the user's personality. category of web novels. However, although this method can accurately recommend suitable online novels for users, this method requires the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06Q30/06
CPCG06Q30/0601G06Q30/0631G06F16/9535
Inventor 陈雪
Owner XUCHANG UNIV
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