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Consumption information recommendation method and device, order combining method and device

A technology for consuming information and recommending methods, applied in the field of data processing, can solve problems such as not, time-consuming and labor-intensive, and low success rate, and achieve the effect of reducing time spent, improving efficiency, and reducing workload

Pending Publication Date: 2017-06-23
ALIBABA GRP HLDG LTD
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  • Summary
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, the third-party platform faces several merchants, and the orders initiated by other users are often not the consumption objects of this user
In this way, users still have to publish and reply to messages in their social circles through emails, instant messages, etc., and manually search for partners to make orders, which is not only time-consuming and labor-intensive, but also has a low success rate.

Method used

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  • Consumption information recommendation method and device, order combining method and device
  • Consumption information recommendation method and device, order combining method and device
  • Consumption information recommendation method and device, order combining method and device

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Embodiment Construction

[0024] The key to success in consolidating orders is to find partners with common consumption intentions. Therefore, the embodiment of this application proposes a new consumption information recommendation method, which first determines which users have the consumption intention to participate in the business activities of the merchant, and finds a combination suitable for ordering among these users with consumption intentions to carry out business activities and The list order recommendation greatly improves the accuracy of the recommendation, reduces the time and workload required for the user to find the order list object, and thus solves the problems existing in the prior art.

[0025] In the embodiment of the present application, the recommendation method of consumption information is applied to a server that can access user history records, such as a server of a third-party platform, a server of a merchant, etc.; the method of order matching is applied to a terminal. The...

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Abstract

The invention provides a consumption information recommendation method applied to a server. The method comprises steps that the business activity information is acquired; users associated with a business activity are screened according to historical records of the users as candidate users, and at least two candidate users satisfying predetermined combined conditions form a user set; the business activity is recommended to the candidate users of the user set, and other candidate users of the same user set are taken as order combining objects of the business activity. Through the method, workload of the user for seeking order combining partners is greatly reduced, the consuming time is reduced, and efficiency of the user is improved.

Description

technical field [0001] The present application relates to the field of data processing, and in particular to a method and device for recommending consumption information, and a method and device for combining orders. Background technique [0002] As a common business model, online shopping has been widely used in people's life. Merchants who sell goods or services on the Internet often hold various promotional activities in order to attract users' visits and consumption, such as free shipping for purchases over a certain amount, or full discounts (minus part of the total price when a certain amount is over), full rebates (a certain amount is over) The amount will be refunded with a number of coupons for future shopping), full delivery (gifts for a certain amount of money), etc. For the purpose of promoting consumption, the certain amount set in these preferential activities is often higher than the per capita consumption of regular shopping. [0003] In order to enjoy the ...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q30/06
CPCG06Q30/0224G06Q30/0239G06Q30/0253G06Q30/0255G06Q30/0601
Inventor 王春龙
Owner ALIBABA GRP HLDG LTD
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