A method and device for recommending network objects

An object and network technology, which is applied in the field of recommending network objects, can solve the problems of inability to analyze data associations, inability to fully mine and utilize data, and inability to take influence into account, so as to achieve the effect of improving mining and utilization efficiency

Active Publication Date: 2022-05-24
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the existing technology, it is a relatively common way to make recommendations by analyzing the data of the user's area, but the influence of other areas on the user's area cannot be taken into account when recommending
The existing technology only recommends based on the historical data of the region, and cannot perform correlation analysis on the data of multiple regions, and cannot realize the full mining and utilization of the data

Method used

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  • A method and device for recommending network objects
  • A method and device for recommending network objects
  • A method and device for recommending network objects

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Embodiment Construction

[0148] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure will be more thoroughly understood, and will fully convey the scope of the present disclosure to those skilled in the art.

[0149] The present application can be applied to recommendation services, and active or passive recommendation services need to be provided in many applications. For example, after a user purchases a product on an e-commerce platform, in order to recommend other products to the user, it is necessary to recommend the user's purchase behavior or personal information based on the user's purchase behavior and the results of big ...

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Abstract

The present application discloses a method and device for recommending network objects, wherein the method includes: acquiring access data of each network object in each geographical area, classifying the access data based on the geographical area, and obtaining the corresponding The initial access data set, calculating the similarity between each initial access data set, merging the initial access data sets whose similarity is greater than the set threshold, obtaining one or more target access data sets, and analyzing the target access data set based on the target access data set Computing devices in one or more corresponding geographical areas recommend network objects, so that when recommending network objects, the recommended network objects are not only affected by the corresponding data in the geographical area where the computing device is located, but also by the corresponding data in the geographical area where the computing device is located. Similar to the influence of access data from other geographic regions, it realizes correlation analysis of data in multiple regions, and improves the efficiency of data mining and utilization.

Description

technical field [0001] The present application relates to the technical field of information recommendation, in particular to a method for recommending network objects and a device for recommending network objects. Background technique [0002] With the development of information technology, the technology of providing information recommendation to users based on the historical records of user behaviors is also constantly developing. [0003] In general, recommendations can be made based on rankings, ratings, or other behavioral data of users. In the prior art, it is a relatively common way to make recommendations by analyzing the data of the area where the user is located, but the influence of other areas on the area where the user is located cannot be taken into account when making the recommendation. The prior art only makes recommendations based on the historical data of the region, cannot perform correlation analysis on the data of multiple regions, and cannot fully mi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 靳玉康马艳玲许涵斌
Owner ALIBABA GRP HLDG LTD
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