Video relevant recommendation method and server

A server and video technology, applied in the field of communication, can solve problems such as low efficiency, single recommendation angle, and poor recommendation effect, and achieve the effect of solving low efficiency.

Inactive Publication Date: 2013-05-08
SHENZHEN LONG VISION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, a movie is manually selected from a large number of video content resources for recommendation, and the recommended movie is bound to the column to which the movie belongs. When a user accesses any movie under a certain column, the recommended movie associated with the column will be displayed. Users can directly select recommended videos to browse and play, but this recommendation method is all done manually. In the case of massive videos, this method is inefficient, and the recommendation angle is single, which makes the recommendation effect not good.

Method used

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  • Video relevant recommendation method and server

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Embodiment Construction

[0057] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0058] Attached below Figure 1-4 , a method for video association recommendation is described in detail.

[0059] See figure 1 , is a schematic flowchart of a video association recommendation method provided by an embodiment of the present invention, including the following steps:

[0060] S101. Collect description data of each video content in the content source set to form basic video content data;

[0061]Specifically, the set of content sources may include ...

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Abstract

The invention discloses a video relevant recommendation method and a server. The video relevant recommendation method includes the steps: collecting description data of contents of each video in a content source set to form video content essential data, collecting visit information of users, statistically analyzing behavioral habits of the users according to the collected visit information of the users to form analysis essential data, and carrying out relevant recommendation processing from different angles on videos according to the video content essential data and the analysis essential data to acquire recommendation results from the different angles. The video relevant recommendation method and the server are applied, and carrying out intelligent relevant recommendation on huge amounts of videos can be achieved.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a method and server for video association recommendation. Background technique [0002] The continuous promotion of interactive digital TV and the continuous development of technology have enabled more and more users to enjoy the good viewing experience brought by interactive TV. With the rapid development of IPTV (Internet Protocol Television, Internet Protocol Television) and Internet video, Users have more and more demands on the quantity and quality of video content. In addition to content resources such as traditional live TV, VOD (Video On Demand, video on demand) on-demand movies, and recorded playback programs, operators have also introduced Internet video content and user-made video content, forming a massive video content resource. [0003] In the existing technology, a movie is manually selected from a large number of video content resources for recommendation,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/254H04N21/258
Inventor 何安松
Owner SHENZHEN LONG VISION
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