Information pushing method

An information push and to-be-pushed technology, applied in the field of machine learning, can solve problems such as poor accuracy of information push

Active Publication Date: 2016-07-20
SYSU CMU SHUNDE INT JOINT RES INST +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Based on this, it is necessary to provide an information

Method used

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Embodiment Construction

[0013] Embodiments of the information pushing method of the present invention will be described below in conjunction with the accompanying drawings.

[0014] figure 1 It is a flow chart of the information pushing method of the present invention. Such as figure 1 As shown, the information push method may include the following steps:

[0015] S1, extracting feature information of the content to be pushed and historical operation information of the target user from the database, and constructing a content feature vector and a user feature vector respectively according to the feature information and historical operation information;

[0016] The content feature vector can be constructed according to:

[0017] First, the feature information of the content to be pushed can be extracted from the database;

[0018] Then, the content to be pushed can be modeled according to the feature information to obtain a model of the content to be pushed, and the model can include historical f...

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Abstract

The invention relates to an information pushing method. The method includes the following steps that feature information of contents to be pushed and historical operation information of a target user are extracted from a database, and a content feature vector and a user feature vector are constructed according to the feature information and the historical operation information respectively; similarity between the target user and other users is calculated according to the user feature vector, a plurality of similar users similar to the target user are selected from the other users according to the similarity, weights to all the contents to be pushed of the similar users are obtained, and correlation coefficients to all the contents to be pushed of the target user are calculated according to the weights; heat predication is conducted on all the contents to be pushed according to the content feature vector, and the correlation coefficients are corrected according to the heat predication result; all the contents to be pushed are ranked according to the corrected correlation coefficients, and the corresponding contents to be pushed are pushed to the target user according to the ranking result.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to an information pushing method. Background technique [0002] The rapid growth of information on the Internet makes it increasingly difficult for users to find valuable information, making information push systems one of the most active academic research fields today. The information push system tries to assist users to discover potentially favorite music, movies, products, apps, etc. [0003] Some information push systems learn based on user information and product information, so that products that users prefer have higher weights. When a large amount of user information is available, the information push system can provide personalized push results. For example, push software books for software workers, and provide art books for art workers. [0004] However, users' interests and preferences change over time in many cases. The current information push system lacks ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/9535G06F18/22
Inventor 范林博王军谭洪舟
Owner SYSU CMU SHUNDE INT JOINT RES INST
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