Method for recommending information

A technology of information recommendation and project information, applied in the information field, can solve the problem that the recommendation cannot express the relevance of information well, and achieve the effect of improving accuracy and relevance, ensuring accuracy, and ensuring real-time

Inactive Publication Date: 2014-03-26
北京中兴通德科技创新有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The content-based recommendation relies too much on the characteristics of information, so that the implemented recommendation cannot express the relevance of information well, and thus cannot provide effective information recommendation for users.

Method used

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  • Method for recommending information
  • Method for recommending information

Examples

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Embodiment Construction

[0018] The present invention will be described in further detail below through specific implementation examples and in conjunction with the accompanying drawings.

[0019] Embodiments of the present invention provide a recommendation method, such as figure 1 As shown, the main processing steps include:

[0020] Step A: When an access request is received, extract the characteristic information of the current user corresponding to the access request, and determine whether the current user is a new user according to the characteristic information;

[0021] When it is determined that the current user is a new user, perform step B: according to the historical access records of the current user, recommend hotspots to the current user according to the click-through rate ranking;

[0022] When it is determined that the current user is an old user, perform step C: cluster the pre-stored user information and item information to generate user clustering; in the user clustering, generate...

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Abstract

The invention relates to the technical field of information, in particular to a method for recommending information. The method comprises the steps that the feature information, corresponding to an access request, of a current user is extracted when the access request is received, and whether the current user is a new user or not is determined according to the feature information; when the current user is the new user, and hot spots are recommended to the current user according to the historical access record of the current user and the click rate rank; when the current user is an old user, the pre-stored user information and item information are clustered to generate a user cluster; in the user cluster, a first recommending list based on item contents is generated, and a second recommending list based on user-item network collaborative filtering is generated; a mixed recommending list is generated according to the first recommending list and the second recommending list; the information is recommended to the current user according to the mixed recommending list. The real-time performance, accuracy and relevance of the recommending information formed through the information recommending method are improved, and information can be effectively recommended for the user.

Description

technical field [0001] The present invention relates to the field of information technology, in particular to an information recommendation method. Background technique [0002] With the development of information technology, users can access a large amount of information conveniently and quickly. However, the emergence of massive information and massive users at the same time makes it difficult for users to find their target data from massive data information, and also causes a large amount of information to be ignored, making the information utilization rate low; on the other hand, the number of user visits The increase of the original log file increases. In order to provide users with the information they need in a targeted manner, a recommendation system and a recommendation method for recommending relevant information to users have emerged. Specifically, the recommendation system is to establish a binary relationship between users and information products, use the exi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/337G06F16/9535
Inventor 程嘉薪李丽丽雷翻翻马雪峰
Owner 北京中兴通德科技创新有限公司
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