Semantic link based recommendation method and device for heterogeneous resource of TV platform

A TV platform and semantic technology, applied in the multimedia field, can solve the problems of few mutual recommendation methods, cumbersome operation, lack of user feedback utilization, etc., and achieve the effect of meeting the requirements of relevance and diversity

Active Publication Date: 2015-03-11
SAMSUNG ELECTRONICS CHINA R&D CENT +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the current recommendation methods among these media resources have many disadvantages, for example: most of them are recommendations among similar resources, and there are few recommendation applications among heterogeneous resources; most of the few heterogeneous resource recommendations are one-way recommendations, that is, From one resource to another, such as video source recommendation methods associated with TV programs, product recommendation methods associated with TV programs, etc., there are few methods for mutual recommendation between multiple resources; resource recommendation methods play an important role Some words are recognizable, some cannot be recognized and require manual construction, which is cumbersome to operate; limited to word form information, lacking semantic information; relying on manual annotation, lack of utilization of user feedback, and its recommendation results are not very good for users ideal

Method used

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  • Semantic link based recommendation method and device for heterogeneous resource of TV platform
  • Semantic link based recommendation method and device for heterogeneous resource of TV platform
  • Semantic link based recommendation method and device for heterogeneous resource of TV platform

Examples

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Embodiment 1

[0021] figure 1 It is a flowchart of an embodiment of the present invention, such as figure 1 shown, including the following steps:

[0022] Step 101: Extract text information of all media resources in the background media resource library.

[0023] In this step, text information is firstly extracted from all media resources in the background media resource library. Use D for each media resource in the background media resource library i Indicates that i is a positive integer, and 1≤i≤N, and N is the number of media resources contained in the background media resource library.

[0024] All media resources in the background media resource library can be divided into two categories: news text and video resources. For news text, the text information is directly extracted; for video resources, the text information is located in the video title and subtitle content. The other is to process the image, complete the subtitle extraction by locating the position of the subtitle in ...

Embodiment 2

[0064] Furthermore, in order to make the heterogeneous resources recommended to users more semantically related to the current media resources, this application also combines the implicit user feedback information such as the number of clicks and click order of media resources in the media resource recommendation list by different users The weights of the clicked media resource feature words in the media resource recommendation list are further adjusted, so that the subsequent calculation of the media resource recommendation list for the user can be closer to the user's interests. figure 2 It is a flow chart of this embodiment. In this embodiment, the media resource R in the media resource recommendation list is adjusted l The feature word weight of , as an example, where l is a positive integer, and 1≤l≤L, such as figure 2 As shown in , each time a user clicks on a media resource in the recommended media resource list, the following steps are performed:

[0065] Step 201: ...

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Abstract

The invention discloses semantic link based recommendation method and device for a heterogeneous resource of a TV platform. The method comprises the steps of extracting text information of all media resources from a background media resource library; extracting feature word candidates of the media resources on the basis of the text information of each media resource; calculating the weight of the feature word candidates; filtering the feature word candidates on the basis of the weight to obtain the feature words; producing a feature word weight matrix T of the background media resource library; calculating the cluster similarity of each media resource in the background media resource library and the current media resource by the cluster method on the basis of the feature word weight matrix T in case that the current media resource viewed by a user is the media resource in the background media resource library; and selecting L media resources with the maximum cluster similarity to produce a media resource recommendation list.

Description

technical field [0001] The invention relates to the field of multimedia technology, in particular to a method and device for recommending heterogeneous resources based on semantic links on a television platform. Background technique [0002] When a user watches a TV program on a TV platform, he is usually interested in some information about the current program, and wants to further watch other media resources related to the current program. Aiming at this psychology of users, there are currently some recommendation methods between media resources. Generally, according to the current resources watched by users, keywords of current resources are obtained to represent user characteristics, and the obtained keywords are used as vectors representing user characteristics. Recommend resources with high similarity to current resources to users. [0003] However, the current recommendation methods among these media resources have many disadvantages, for example: most of them are re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/435G06F16/4387
Inventor 郑玄陈洁
Owner SAMSUNG ELECTRONICS CHINA R&D CENT
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