Merchant recommendation method, method of building merchant evaluation model, and related devices

An evaluation model and merchant recommendation technology, which is applied in the field of Internet-related data processing, and can solve the problems of wasting operating platform traffic resources, poor efficiency, and inability to recommend

Inactive Publication Date: 2017-09-01
BEIJING XIAODU INFORMATION TECH CO LTD
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Problems solved by technology

This method leads to the same recommended content for each user, and it is impossible to make targeted recommendations for users with different characteristics.
In addition, in other Internet fields such as online shopping malls and group-buying services, when recommending merchants to users, there is also the defect that targeted recommendations cannot be made for users with different characteristics.
This not only leads to poor user experience and poor promotion efficiency of merchants, but also greatly wastes traffic resources of the operating platform

Method used

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  • Merchant recommendation method, method of building merchant evaluation model, and related devices
  • Merchant recommendation method, method of building merchant evaluation model, and related devices
  • Merchant recommendation method, method of building merchant evaluation model, and related devices

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Embodiment Construction

[0069] Various aspects of the present invention will be described in detail below with reference to the drawings and specific embodiments. Wherein, well-known modules, units and their mutual connections, links, communications or operations are not shown or described in detail. Also, the described features, architectures, or functions may be combined in any manner in one or more implementations. It should be understood by those skilled in the art that the various implementations described below are only for illustration, rather than limiting the protection scope of the present invention. It can also be easily understood that the modules or units or steps in the embodiments described herein and shown in the drawings can be combined and designed in various configurations.

[0070] figure 1 is a schematic flowchart of a merchant recommendation method according to an embodiment of the present invention. refer to figure 1 , the method includes:

[0071] 100: Obtain first data r...

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Abstract

The invention discloses a merchant recommendation method, a method of building a merchant evaluation model, and related devices. The merchant recommendation method comprises the following steps: acquiring first data related to target users and second data related to to-be-pushed merchants; determining the values of evaluation indexes of the to-be-pushed merchants according to the first data and the second data; evaluating the to-be-pushed merchants based on the values of the evaluation indexes and a merchant evaluation model; and recommending merchants to the target users according to the evaluation result of the to-be-pushed merchants. Through the method, suitable merchants can be recommended to users, and the user experience can be improved. Merchants can be displayed to users with greater consumption possibility, and the order quantity can be increased. On the whole, the quality of recommendation and the user experience are improved in terms of merchant recommendation. Moreover, benefit generated by unit traffic is higher, and the traffic cost of the operation platform is saved greatly.

Description

technical field [0001] The present invention relates to the field of Internet-related data processing, and more specifically, to a merchant recommendation method, a method for establishing a merchant evaluation model, and related devices. Background technique [0002] The development of the Internet has increasingly changed people's lifestyles. In an e-commerce system, how to recommend suitable products, commodities, services or merchants to users is an important topic for every e-commerce system. [0003] In the existing e-commerce system, taking the food delivery field as an example, when recommending merchants (for example, city-wide delivery merchants) to users, a fixed ranking list of merchants is often used. This method leads to the same recommendation content for each user, and it is impossible to make targeted recommendations for users with different characteristics. In addition, in other Internet fields such as online shopping malls and group-buying services, when...

Claims

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Application Information

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IPC IPC(8): G06Q30/06
CPCG06Q30/0609G06Q30/0623
Inventor 支明远邝卓聪胡慧敏徐鹏
Owner BEIJING XIAODU INFORMATION TECH CO LTD
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