Social network based multi-dimension comprehensive recommending method

A social network and recommendation method technology, applied in marketing, advertising, equipment, etc., can solve problems such as low recommendation rate and ineffective recommendation

Active Publication Date: 2017-03-22
SHANGHAI NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
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Problems solved by technology

This will lead to a low recommendation rate,

Method used

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  • Social network based multi-dimension comprehensive recommending method
  • Social network based multi-dimension comprehensive recommending method
  • Social network based multi-dimension comprehensive recommending method

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Embodiment Construction

[0065] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0066] The present invention gives the following definition to social network:

[0067] Definition 1 Social network model: The social network G can be formalized as a graph, G=(V,E), V represents the user set in the social network, and v i represents an individual user, v i The subscript i represents the number of the user, and E is used to describe the set of relationships between users;

[0068] Definition 2 Community model: Community C is composed of users with the same interests and hobbies, which is a subgraph of the social network, C=, when the user belongs to the community, i...

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Abstract

The invention relates to a social network based multi-dimension comprehensive recommending method. The recommending method includes: establishing a social network model and a community model; S2: defining the user compactness, the user entity interest degree, and the entity similarity, wherein the user compactness reflects the compactness of a relation between two users, the user entity interest degree reflects the interest degree of a user in an entity, and the entity similarity reflects the consistent degree of attributes of two entities; and S3: performing multi-dimension entity comprehensive recommending on users in a social network according to the user compactness, the user entity interest degree, and the entity similarity. Compared with the prior art, the method can evaluate the influence of commerce websites of the social network from the user relation dimension, the entity similarity dimension, and the user interest dimension, and can perform relative entity recommending, and has wide actual application prospect.

Description

technical field [0001] The invention relates to the technical field of social network, in particular to a multi-dimensional comprehensive recommendation method based on social network. Background technique [0002] During the evolution of human society from the original physical activities to the virtual space of the Internet, the relationship between people has gradually formed a complex intertwined network, and social networks have also become one of the major applications of the Internet. one. In recent years, as people have more and more demands for obtaining information and transmitting information, and social networks are a good medium to meet people's needs, so that social networks have developed rapidly. All kinds of social networking sites (such as: QQ, Facebook, MySpace, etc.) that have come into being have been developed day by day, and now they have become the main platforms for life, work, and entertainment of all ages. In this environment, product recommendat...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/9535G06Q30/0251G06Q30/0255G06Q30/0271
Inventor 张波穆翠赵勤张倩
Owner SHANGHAI NORMAL UNIVERSITY
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