Social search method based on multi-mode self-adaptive social relation strength excavation

A social relationship and multi-modal technology, applied in the field of multimedia search, can solve problems that cannot meet the needs of applications

Inactive Publication Date: 2013-04-03
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

In many problems, binarization or continuous social relations cannot meet the needs of applications

Method used

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  • Social search method based on multi-mode self-adaptive social relation strength excavation
  • Social search method based on multi-mode self-adaptive social relation strength excavation
  • Social search method based on multi-mode self-adaptive social relation strength excavation

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Embodiment Construction

[0018] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0019] The invention realizes a subject-sensitive social relationship strength analysis method in a social multimedia environment, and can adaptively adjust the social relationship strength for different applications. Compared with the existing social relationship strength analysis methods, on the one hand, the topic-sensitive social relationship strength can be obtained, which can be adjusted according to the problem; on the other hand, by comprehensively considering text information and visual information, it can better serve multimedia applications .

[0020] figure 1 It is a flowchart of an adaptive social relationship strength mining method based on a multimodal generative model according to the present invention. ...

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Abstract

The invention discloses a self-adaptive social relation strength excavation method based on a multi-mode generative model. The method comprises the following steps of: collecting picture information uploaded by users and users which have social relationships with the picture information, and enabling each user to correspond to a triple consisting of an uploaded image set, an image annotation set and a social network; reversing the generation process of picture contents and annotations according to an input triple through the multi-mode generative model for concluding to obtain a theme space which can be used for describing user interest distribution and the theme distribution of the users; and calculating the obtained theme space and the user theme distribution to obtain the relation strength of theme sensitivity among users. The method is applied to self-adaptive multimedia retrieval and the like.

Description

technical field [0001] The invention relates to the field of multimedia search, in particular to a social search method based on multimodal adaptive social relationship strength mining. Background technique [0002] Social media has greatly changed the way and habits of users to share and obtain information. In social media services, users inevitably interact with other users to form a community, the so-called social network. Social networks include two-way social relationships, such as "Connect" in LinkedIn and "Add Friend" in Facebook, and one-way social relationships, such as "Follow" in Twitter And "Subscribe" in Youtube. These social relationships are believed to influence the behavior of users and the dynamic development of social networks. For example, colleagues on LinkedIn can influence a person's choices at work, and friends on Facebook can affect a person's behaviors and needs in life. By analyzing and mining these social relationships, many important applicat...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 徐常胜桑基韬
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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