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Recommendation method and device

A recommendation method and feature vector technology, applied in the computer field, can solve problems such as inaccurate prediction scores and inability to be recommended by users, and achieve accurate prediction results

Active Publication Date: 2019-06-18
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the present application provides a recommendation method and device, which are used to solve the technical problem that users cannot effectively recommend objects to users due to inaccurate prediction scores for objects

Method used

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  • Recommendation method and device

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Embodiment Construction

[0050] The technical solutions in the embodiments of the present invention will be described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0051] figure 1 A schematic diagram of an artificial intelligence main framework is shown, which describes the overall workflow of an artificial intelligence system and is applicable to general artificial intelligence field requirements.

[0052] The following is an elaboration on the above artificial intelligence theme framework from the two dimensions of "intelligent information chain" (horizontal axis) and "IT value chain" (vertical axis).

[0053] "Intelligent informa...

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Abstract

The invention relates to the technical field of computers, and discloses a recommendation method and device, and the method comprises the steps: generating a feature sequence according to to-be-predicted data of a user for a target object and a preset coding rule, obtaining the probability distribution information corresponding to each feature in the feature sequence, and carrying out the calculation to obtain a feature vector corresponding to each feature; According to the values of the N features and the feature vectors corresponding to the N features respectively, obtaining a prediction score of the user for the target object; And when the prediction score is greater than or equal to a preset threshold, recommending the target object to the user. In the embodiment of the invention, Dueto the fact that the feature vectors corresponding to the features are obtained according to the probability distribution information corresponding to the features, the feature vectors corresponding to the features are accurate, the prediction result is accurate, and compared with the mode that point estimation is directly used for determining the feature vectors, the prediction result in the embodiment of the invention better conforms to the actual situation.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a recommendation method and device. Background technique [0002] Artificial intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is the branch of computer science that attempts to understand the nature of intelligence and produce a new class of intelligent machines that respond in ways similar to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and decision-making. Research in the field of artificial intelligence includes robotics, natural languag...

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Application Information

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IPC IPC(8): G06F16/9535G06K9/62
CPCG06F16/9535G06F16/00G06N3/08G06N7/01G06N3/045G06N20/00G06N5/04
Inventor 余锦楷唐睿明董振华张宇宙刘卫文钱莉
Owner HUAWEI TECH CO LTD
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