Method for calculating video similarity

A calculation method and similarity technology, applied in the direction of calculation, computer parts, instruments, etc., can solve the problems of single calculation method, low conversion rate of similar videos, weighting, etc., achieve huge economic benefits, improve the conversion rate of related videos, improve The effect of user experience

Inactive Publication Date: 2016-06-08
SHANDONG UNIV
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AI Technical Summary

Problems solved by technology

After analyzing Hisense TV user log data, the conversion rate of related videos is less than 10%. After analysis, the calculation method of similar videos used in the online system is relatively simple, and the subject of the videos is not weighted by user comments, resulting in similar Video conversion rate is low

Method used

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  • Method for calculating video similarity
  • Method for calculating video similarity
  • Method for calculating video similarity

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Experimental program
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Embodiment

[0046] A method for calculating video similarity, the specific steps comprising:

[0047] (1) Extract the preliminary text features of video A

[0048] ① Carry out Chinese word segmentation for the introduction of the video A;

[0049] ② Calculate the frequency of each participle obtained in step ①, and the calculation formula is shown in formula (I):

[0050] β a , d = c o u n t ( a , d ) c o u n t ( d ) - - - ( I )

[0051] In formula (I), β ...

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Abstract

The invention relates to a method for calculating video similarity. Particularly the method comprises the steps of (1) extracting the preliminary text characteristic of a video A; (2), extracting the recessive characteristic of the video A through an LDA topic model; and (3) calculating the text characteristic vA of the video A, calculating the text characteristic vB of a video B through steps (1)-(3), and calculating the similarity between the video A and the video B. According to the method of the invention, a user characteristic portrait is constructed through analyzing historical data of a user. For realizing a purpose of high efficiency, the user characteristic portrait is constructed through calculation of an offline processing device. Therefore the user characteristic can be periodically obtained. Finally the user characteristic portrait is combined in a related video recommendation, thereby realizing a purpose of individual recommendation. The method of the invention has advantages of correcting a traditional similar video calculating method according to user comments, improving conversion rate of related videos, improving user experience and creating tremendous economic benefit for video suppliers.

Description

technical field [0001] The invention relates to a method for calculating video similarity, and belongs to the technical field of computer data mining. Background technique [0002] With the rapid development of Internet technology and the era of big data, people can obtain and contact more and more video resources, but it takes more and more time to find their favorite videos. In video portal websites, there will be related video recommendation services, which can display more video resources to users. Video recommendation technology has been widely used in online video systems, and related video recommendations have become the key for users to discover videos. One of the main ways. Specifically, when the user enters the details page of a video or after watching a video, the system will display some video lists related to the video. It improves the user's video click rate, and to a certain extent, increases the user's paid conversion rate. Contextual video computing is an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F17/30
CPCG06F16/7867G06F18/22G06F18/25
Inventor 邢建平田欣玉宋宪明刘绪
Owner SHANDONG UNIV
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