Artificial intelligence-based object pushing method and apparatus

A technology of artificial intelligence and push devices, which is applied in the field of information processing, can solve problems such as consuming a lot of manpower, and achieve the effect of improving push efficiency

Inactive Publication Date: 2017-05-10
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the selection of features is a work that requires a lot of manpower,

Method used

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  • Artificial intelligence-based object pushing method and apparatus
  • Artificial intelligence-based object pushing method and apparatus
  • Artificial intelligence-based object pushing method and apparatus

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Embodiment Construction

[0047] The following describes in detail the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, and are intended to explain the present invention and should not be construed as limiting the present invention.

[0048] The artificial intelligence-based object pushing method and device according to the embodiments of the present invention are described below with reference to the accompanying drawings.

[0049] figure 1 A schematic flowchart of an artificial intelligence-based object pushing method provided by an embodiment of the present invention. The artificial intelligence-based object push method includes the following steps:

[0050] S101. Input the historical click behavior of the target...

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Abstract

The invention provides an artificial intelligence-based object pushing method and apparatus. The method comprises the steps of inputting historical click behaviors of a target user to a built user model for performing learning to obtain multi-dimensional preference eigenvectors of a target user; obtaining eigenvectors of all to-be-pushed objects; inputting the eigenvectors of the to-be-pushed objects and the multi-dimensional preference eigenvectors to a trained deep neural network model for performing prediction to obtain prediction probabilities of the to-be-pushed objects; and pushing the to-be-pushed objects to the target user according to the obtained prediction probabilities. According to the method and the apparatus, the preferences of the target user are obtained through the user model built by a neural network, and the probability of possibly purchasing to-be-pushed group orders by the target user is obtained based on the deep neural network and the preferences of the target user, so that the pushing is more effective; and preference features are selected through training by the user model, so that a large amount of manpower does not need to be consumed for selection and the pushing efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of information processing, and in particular, to an artificial intelligence-based object push method and device. Background technique [0002] Artificial intelligence (Artificial Intelligence), the English abbreviation is AI. It is a new technical science that studies and develops theories, methods, techniques and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new type of intelligent machine that can respond in a similar way to human intelligence. Research in this field includes robotics, speech recognition, image recognition, Natural language processing and expert systems, etc. Among them, the most important aspect of artificial intelligence is speech recognition technology. [0003] At present, when recommending objects to users, linear mo...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/06G06Q10/04G06N3/04
CPCG06F16/9535G06N3/04G06Q10/04G06Q30/0631
Inventor 苏映滨王凡王鹏黄世维路华黄硕周超何径舟
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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