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Personalized digital library resource recommending method and system based on mixed recommendation

A technology of mixed recommendation and recommendation method, which is applied in the field of information technology and the Internet, and can solve problems such as waste of data value

Inactive Publication Date: 2016-11-09
NORTHEAST NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For digital resources, the system also saves a large amount of user information, user behavior, reader evaluation and other information, but at the current stage, there is a lack of effective analysis and utilization of these data, resulting in a waste of the value of this part of the data

Method used

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  • Personalized digital library resource recommending method and system based on mixed recommendation
  • Personalized digital library resource recommending method and system based on mixed recommendation
  • Personalized digital library resource recommending method and system based on mixed recommendation

Examples

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Embodiment 1

[0037] Example 1, such as figure 1 As shown, a method and system for personalized recommendation of digital library resources based on hybrid recommendation in an embodiment of the present invention includes:

[0038] Step 1, user profile management and maintenance. Users are the core and service objects of the system. In order to better provide users with personalized services, it is necessary to manage and maintain user profile data;

[0039] User profile data includes user demographic data and user borrowing history data;

[0040] in,

[0041] The user's demographic data, that is, the basic description information of the user, such as gender, age, occupation, address, contact information, etc., but does not need to collect any sensitive identity information of the user, which can effectively protect the user's privacy;

[0042] The user's borrowing history data, through the processing of the borrowing history data, can discover interest. We use the text content informati...

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Abstract

The invention provides a personalized digital library resource recommending method and system based on mixed recommendation. The recommending method includes the following five steps of 1 user data managing and maintaining; 2 book resource data extracting and managing; book resource content data analyzing; 4 user behavior data analyzing; 5 personalized book resource recommending. Existing digitized information in a digital library is used for recommending book resource in a personalized user-oriented mode, a new thought is provided for effectively using the book resource, and the personalized digital library resource recommending system based on mixed recommendation is provided based on the method. The method is used for data analysis and resource recommendation, a user can be effectively helped to find interested book materials, the circulation use ratio of the book materials is effectively increased, user satisfaction is effectively improved, and effective technical support is provided for knowledge innovation in China.

Description

technical field [0001] The invention relates to the fields of information technology and Internet technology, in particular to a method and system for personalized recommendation of digital library resources based on hybrid recommendation. Background technique [0002] Book resources are an important carrier of knowledge dissemination. Many traditional libraries and library reference rooms of enterprises and institutions have a large number of physical books and materials, which are the source of a country's knowledge innovation. In the process of using these resources, people have left a large amount of historical data such as borrowing records. With the modernization of the management system, most of these historical records have been stored and managed by electronic computers. Although physical book resources need to be digitized, on the one hand, it is unlikely to involve copyright and other issues, and on the other hand, due to the huge base, it is not realistic in term...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 张邦佐刘明昊徐坤彭凯宇牟联富李瀚森
Owner NORTHEAST NORMAL UNIVERSITY
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