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User preference generation method and system

A technology for generating systems and users, applied in the field of data processing, and can solve problems such as data distortion

Active Publication Date: 2021-02-09
BEIKE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

That is to say, the existing technology puts users in the same preference combination space for comparison, resulting in users who may not have preferences at all in a certain dimension, but are still "forced to mine", resulting in distortion of the mined data

Method used

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  • User preference generation method and system
  • User preference generation method and system

Examples

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Embodiment Construction

[0031] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0032] Before introducing the specific implementation manners of the present invention, the main design idea of ​​the present invention is briefly summarized.

[0033] Taking housing listings as an example, the interaction between users and housing listings is the result of users’ screening decisions on the exposed listing content. The inference of preferences based on the user's historical visits, regardless of the existing methodology, can be considered as inferring preferences from "performance" (that is, the traditional mode of solving interactions). However, the number of user visits is not only related to the user's own wishes, but also related to which l...

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PUM

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Abstract

The invention relates to the technical field of data processing, and discloses a user preference generation method and system. The user preference generation method comprises the following steps: splitting a user access set and a supply set according to a maximum similarity gain criterion to obtain a plurality of subset pairs corresponding to the two sets; determining the strength of each of a plurality of subsets corresponding to the user access set according to the similarity between the user access set and each subset pair corresponding to the supply set and the weight occupied by the similarity; and screening the subsets of which the intensity sequences are located in the first k ranks from a plurality of subsets corresponding to the user access set so as to generate first k preferencecombinations used for representing user preferences. According to the method and system, the preference combinations with large attribute differences and unfixed dimensions can be effectively screened out, and the similarity between the user access set and the supply set can be effectively improved, so that the preferences of the users can be reflected more truly and effectively.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a user preference generation method and generation system. Background technique [0002] In the Theory of Constraints (TOC, Theory of constraints) model, an accurate understanding of user demand preferences is a necessary prerequisite for matching supply and demand. From the perspective of online services, it is possible to reach thousands of users based on the understanding of user preferences. Entering the business model of online and offline linkage, the understanding of user preferences based on online data will be transmitted to offline service links with low distortion to improve the consistency of service quality, which is another key point of preference understanding. [0003] The existing preference mining technology is based on a certain preference combination (that is, a priori preference combination and the dimension of the preference combination is d...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06K9/62
CPCG06Q30/0202G06F18/2113G06F18/22
Inventor 李嘉晨刘思明
Owner BEIKE TECH CO LTD
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