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Automatic microblog home page data recommendation method

A recommendation method and Weibo technology, applied in the recommendation field, can solve the problems of narrow content scope, increased cost, poor timeliness, etc., and achieve the effect of clear images

Inactive Publication Date: 2015-05-27
北京中搜云商网络技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The shortcomings of the manual recommendation method are high cost, poor timeliness, slow update speed, and narrow content scope
By artificially discovering the latest and hottest data, the amount of manpower invested, the breadth and speed of reading determine the speed and quality of discovery. Therefore, it is necessary to invest a lot of manpower in order to obtain the latest, better, and shortened update cycle home page data. increased cost

Method used

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  • Automatic microblog home page data recommendation method
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Embodiment Construction

[0045] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings. (The content of the invention should be supplemented in detail as much as possible, technical means, technical solutions, processes, to achieve full disclosure)

[0046] The structural diagram of the present invention is as figure 1 As shown, it is mainly divided into three modules. The first module screens out the top few names from a large number of microblogs to get the latest and hottest microblog list (TopN); the second module extracts topic sentences from microblogs, and extracts topic sentences of blog posts of corresponding length according to the size of the pictures (because The topic sentence is embedded in the picture, so the size of the picture determines the length of the topic sentence); the third module, automatic picture filter, selects the picture closest to the size of the target picture for automatic c...

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Abstract

The invention relates to an automatic microblog home page data recommendation method. The method includes the following steps: (1) a microblog list is screened out from mass microblogs; (2) microblog topic sentences are extracted, and according to the sizes of pictures, microblog topic sentences with corresponding lengths are extracted; (3) chosen pictures, the sizes of which are closest to the sizes of target pictures, are automatically cut. The automatic microblog home page data recommendation method can automatically recommend latest and hottest blog article pictures and outlines to home pages to satisfy the demand of users. An automatic statistic screening method is adopted to fill home page data, consequently, the freshness, extensiveness and update cycle are increased, and manpower and cost are reduced. A manual test shows that the quality of picture screen and cutting reaches 99.9 percent and the accuracy of microblog outline recommendation reaches more than 98 percent.

Description

technical field [0001] The invention relates to a recommendation method, in particular to a method for automatic recommendation of microblog home page data. Background technique [0002] Microblog is a newly emerging network service in recent years. It is a platform for information sharing, dissemination and acquisition based on user relationships. Users can send texts through the network, mobile phones and various intelligent networking clients, and realize instant sharing. Weibo has the characteristics of simple and convenient use, support for open multi-platform access methods, and fast dissemination of news updates. In just five years, it has attracted hundreds of millions of users around the world. Compared with traditional social networks, Weibo has stronger ability to disseminate information and organize members. This unique advantage makes it quickly become one of the main social media. played a key role in many social events. [0003] Various vertical services in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 尹柳
Owner 北京中搜云商网络技术有限公司
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