Method and system for recommending text files

A text file and recommendation method technology, applied in the Internet field, can solve problems such as inaccurate recommendation results, achieve accurate recommendation results, and reduce the probability of recommendation

Active Publication Date: 2013-07-17
新浪技术(中国)有限公司
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  • Abstract
  • Description
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Problems solved by technology

Therefore, the recommendation system in the prior art may have the ...

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  • Method and system for recommending text files
  • Method and system for recommending text files
  • Method and system for recommending text files

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Embodiment Construction

[0077] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below with reference to the accompanying drawings and preferred embodiments. However, it should be noted that many of the details listed in the specification are only for readers to have a thorough understanding of one or more aspects of the present invention, and these aspects of the present invention can be implemented even without these specific details.

[0078] As used herein, terms such as "module" and "system" are intended to include computer-related entities such as, but not limited to, hardware, firmware, a combination of hardware and software, software, or software in execution. For example, a module may be, but is not limited to being limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and / or a computer. For example, both an applicatio...

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Abstract

The invention discloses a method and a system for recommending text files. The method includes: determining a term set of a current text file and then determining a TF (term frequency) value or a TF-IDF (inverse document frequency) value of each term in the term set; determining an implied subject feature vector of the current text file; respectively computing similarity degrees among the implied subject feature vector of the current text document and implied subject feature vectors of various text files to be recommended; and selecting certain text files to be recommended and recommending the certain text files to be recommended. The similarity degrees among the implied subject feature vectors of the certain text files to be recommended and the implied subject feature vector of the current text file meet preset screening conditions. The method and the system have the advantage that the similarity degrees among the text files are computed from the implied subject feature vectors, so that the method implemented by the aid of the system for recommending the text files is more accurate.

Description

technical field [0001] The invention relates to the Internet field, in particular to a text file recommendation method and system. Background technique [0002] With the rapid development of Internet technology and the explosive growth of online information, users may need to spend a lot of time browsing and filtering a large amount of irrelevant information in order to find the information they need. In order to solve the problem of decreased information utilization rate caused by information overload, recommender systems are widely used in the Internet field. The recommendation system is to establish a binary relationship between users and information products, use the existing selection process or similarity relationship to mine potential objects of interest for each user, and then perform personalized recommendations. Its essence is information filtering. [0003] At present, the recommendation system based on the content of text files on the Internet is to obtain the w...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
Inventor 刘洋
Owner 新浪技术(中国)有限公司
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