Methods and devices of recommending network object

An object and network technology, applied in the field of devices recommending network objects, can solve the problems of inability to fully mine and utilize data, incapable of data association analysis, incapable of taking influence into account, etc.

Active Publication Date: 2018-07-10
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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  • Methods and devices of recommending network object
  • Methods and devices of recommending network object
  • Methods and devices of recommending network object

Examples

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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. Although 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 for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0149] This application can be applied in 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 data analysis o...

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PUM

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Abstract

The application discloses methods and devices of recommending a network object. One of the methods includes: acquiring data of access of each geographical region to each network object; classifying the access data on the basis of the geographical regions to obtain an initial access data set respectively corresponding to each geographical region; calculating similarity among all the initial accessdata sets; merging initial access data sets, of which similarity is greater than a set threshold value, to obtain one or more target access data sets; and recommending the network object to computingequipment in one or more geographical regions, which correspond to a target access data set, on the basis of the target access data set. When the network object is recommended, the recommended networkobject is enabled to be influenced by corresponding data of a geographical region in which computing equipment is located, and also influenced by access data of the other geographical regions which are similar to the geographical region in which the computing equipment is located, association analysis on the data of the multiple regions is realized, and efficiency of mining and utilization on thedata is improved.

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 for users based on the historical records of user behavior is also developing continuously, for example, recommending other products of similar categories to users based on the user's shopping records, browsing records and other information. [0003] Generally speaking, recommendations can be made based on rankings, ratings, or other behavioral data of users. In the prior art, it is relatively common 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 consideration when recommending. The existing technology on...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 靳玉康马艳玲许涵斌
Owner ALIBABA GRP HLDG LTD
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