Method and apparatus for generating recommendation result

A technology for generating modules and services, applied in the computer field, can solve problems such as difficult to find movies, inaccurate recommendation results, etc., and achieve the effect of accurate recommendation results

Inactive Publication Date: 2017-05-31
MEIZU TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But when encountering the problem of user cold start, that is, when the user has little or no behavior data on the video application, it is difficult to find movies that meet the user's "taste", or the recommendation results are inaccurate

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  • Method and apparatus for generating recommendation result
  • Method and apparatus for generating recommendation result
  • Method and apparatus for generating recommendation result

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Embodiment Construction

[0053] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of the embodiments of the present invention, not all the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention shall fall within the protection scope of the present invention.

[0054] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, without having to use To describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstan...

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Abstract

The embodiment of the invention discloses a method and apparatus for generating a recommendation result. The recommendation result can be more accurate. The method disclosed by the embodiment of the invention comprises the following steps: obtaining behavior records of a user on at least two application platforms; generating user features according to the behavior records, and obtaining attribute features of a business of a target application platform; generating joint features according to the user features and the attribute features; generating a sample set according to the joint features; obtaining a logistic regression model according to the sample set; calculating the probability of a to-be-recommended business according to the logic regression model, wherein the to-be-recommended business is the to-be-recommended business on the target application platform; and generating the recommendation result according to the size of the probability of to-be-recommended business.

Description

Technical field [0001] The present invention relates to the field of computer technology, in particular to a method and device for generating recommendation results. Background technique [0002] With the rapid development of the Internet, the information on the Internet is increasing exponentially every year. How to accurately obtain the required information in this massive information database has become an issue of increasing concern. The personalized recommendation system came into being under this background and developed rapidly. The current recommendation system recommendation methods are mostly determined based on the application on the device. For example, in the video application, the recommendation system will determine the videos that the user may like to watch based on the user's viewing record, that is, according to the previous viewing record, and then recommend to the customer video. However, when encountering a user's cold start problem, that is, when the user...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 谭领城
Owner MEIZU TECH CO LTD
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