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Method and device for determining degree of user preference

A technology of preference degree and determination method, applied in the field of computer, can solve the problems such as unfavorable horizontal comparison of users' preference degree of different preferences, and achieve the effect of reducing specificity and improving universality

Active Publication Date: 2017-12-08
ADVANCED NEW TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is also not conducive to the horizontal comparison of the user's preference for different preferences.

Method used

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  • Method and device for determining degree of user preference
  • Method and device for determining degree of user preference
  • Method and device for determining degree of user preference

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050]As mentioned above, when determining the user’s preference degree, the determination method for each preference degree is different. For example, to determine the user’s preference degree for basketball, it is necessary to obtain the number of times the user browses basketball news in the historical behavior, The number and duration of watching basketball videos, and the online duration of basketball games may also be paid attention to. When processing these historical behavior data, the degree of preference for basketball will be determined through a predetermined weight ratio. Specifically, basketball videos have the highest weight, basketball news times In short, basketball games are the most frequent. However, when determining the user's preference for billiards, it may be necessary to obtain the duration of browsing news in the user's historical behavior, the estimated online duration of billiard games, etc., and use another set of predetermined weight ratios (for ex...

Embodiment 2

[0086] Based on the same inventive concept, Embodiment 2 provides a device for determining a degree of preference, which is used to improve the generality of determining the degree of user preference based on user historical behavior data. figure 2 is a structural block diagram of the device, which includes: a data extraction unit 21, a probability determination unit 22, a distance determination unit 23, and a preference value determination unit 24, wherein:

[0087] The data extraction unit 21 can be used to extract the user's historical behavior data and condition data, the historical behavior data includes preference features that need to determine the degree of preference, and the condition data includes data that affects the occurrence of preference features;

[0088] The probability determination unit 22 can be used to determine the first occurrence probability of the preference feature according to the historical behavior data and the condition data; and determine the s...

Embodiment 3

[0105] Based on the same inventive idea. The embodiment of the present application provides a method for determining a user's preference degree for ordering food delivery in rainy days. When determining the user preference degree based on the user's historical behavior data, the specificity between different preferences is reduced and the generality is improved. The flow chart of the method is shown in image 3 shown, including the following steps:

[0106] Step 31: Obtain the original user historical behavior data within one month, and the original weather data within one month.

[0107] A user's raw order data can be obtained from a food delivery app, and raw weather data can be obtained from a weather-related website.

[0108] Step 32: Format the original user historical behavior data and original weather data.

[0109] Remarks, taste options, delivery time, etc. in the original order data can be removed; nighttime temperature, air volume, etc. can be removed in the orig...

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Abstract

The present application discloses a method and device for determining the degree of user preference, wherein when the degree of user preference is determined according to the historical behavior data of a user, particularities among different preferences are reduced, and universality is increased. The method comprises: extracting historical behavior data and condition data of a user; determining a first probability of occurrence of a preference characteristic according o the historical behavior data and the condition data, and determining a second probability of occurrence according to the condition data, wherein the first probability of occurrence is a probability that the preference characteristic occurs in the historical behavior data under the influence of the condition data, and the second probability of occurrence is a probability that the preference characteristic occurs when the user has no preference; determining a distance between the first probability of occurrence and the second probability of occurrence; and determining a preference value of the user for the preference characteristic according to the first probability of occurrence and the distance.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a method and device for determining a degree of user preference. Background technique [0002] In the Internet age, all behavior data of a user on the Internet may be generated by the user's behavior driven by a certain preference of the user, so these behavior data can often reflect the user's preference, and the degree of preference can be used to reflect the user's preference for The strength of the preference. [0003] When the existing technology determines the user's preference level, it often targets a certain preference purposefully, and collects historical behavior data related to this preference, and determines the user's preference for this preference based on various historical behavior data through a preset weight ratio. degree of preference. For example, when determining a user’s degree of preference for a certain preference, historical behavior da...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/02G06Q30/06
CPCG06F16/2465G06F2216/03G06Q30/0201G06Q30/0635
Inventor 贾冰鑫毛仁歆刘鸿鹏飞王凯杨一品
Owner ADVANCED NEW TECH CO LTD
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