Method and system for identifying video preference based on Internet retrieval keywords

A keyword and Internet technology, applied in the direction of video data retrieval, video data query, special data processing applications, etc., can solve the problems of low accuracy, incapable of semantic recognition, easy misjudgment, etc., and achieve the effect of strong recognition ability

Inactive Publication Date: 2016-08-31
北京思特奇信息技术股份有限公司
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  • Claims
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AI Technical Summary

Problems solved by technology

This recognition method is relatively simple, low cost and quick effect, but the accuracy is not high, it is easy to misjudgment, and semantic recognition cannot be performed

Method used

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  • Method and system for identifying video preference based on Internet retrieval keywords
  • Method and system for identifying video preference based on Internet retrieval keywords
  • Method and system for identifying video preference based on Internet retrieval keywords

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Embodiment Construction

[0039] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.

[0040] Such as figure 1 As shown, a method for identifying video preferences based on Internet retrieval keywords includes the following steps,

[0041] S1, initialize the dictionary, where the dictionary includes a stop dictionary, a basic dictionary, a forward dictionary, a reverse dictionary and a core dictionary;

[0042] S2, under the auxiliary function of the stop dictionary, the video keywords are segmented by matching with the core dictionary to obtain multiple word segmentations;

[0043] S3, carrying out reverse semantic analysis and retrieval of multiple word segmentations through a reverse dictionary; and scoring the reverse semantic analysis retrieval results of multiple word segmentations according to...

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Abstract

The invention relates to a method and system for identifying a video preference based on Internet retrieval keywords. The method comprises the steps that at the step S1, a dictionary is initialized; at the step S2, video-type keywords are segmented, and multiple segmentation words are obtained; at the step S3, reverse semantic analysis retrieval is carried out to the multiple segmentation words respectively, and retrieval results of the multiple segmentation words are graded respectively; at the step S4, basic semantic analysis retrieval is carried out to the multiple segmentation words respectively, and retrieval results of the multiple segmentation words are graded respectively; at the step S5, forward semantic analysis retrieval is carried out to the multiple segmentation words respectively, and retrieval results of the multiple segmentation words are graded respectively; at the step S6, domain name grading is carried out to website domain names of the Internet involved in retrieval of the video-type keywords; at the step S7, grading results obtained from the step S3 to the step S6 are assembled and synthesized, so that a final score of the retrieval behavior can be obtained; and at the step S8, the video preference is identified according to the final score. The method and the system provided by the invention have the advantages of a high identification capability and a semantic identification capability under a video preference environment.

Description

technical field [0001] The present invention relates to a method and system for identifying video preferences, in particular to a method and system for identifying video preferences based on Internet retrieval keywords. Background technique [0002] An important branch of computer science is "artificial intelligence", which attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a similar way to human intelligence. Research in this field includes robotics, language recognition , image recognition, natural language processing and expert systems, etc. In terms of natural language processing, how to make computers recognize and understand human language, and simulate human thinking to think and reason is an important measure to realize the great ideal of "artificial intelligence". Regardless of whether it is Chinese or English, except for individual exceptions such as "you", "me" and "he", phrases are the smallest unit of hu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/73G06F16/783
Inventor 苏志凌
Owner 北京思特奇信息技术股份有限公司
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