Business object recommendation method, device and system

A business object, recommendation system technology, applied in the information field, can solve problems such as large labor costs, inability to meet consumer needs and preferences, and emphasis on subjective preferences

Active Publication Date: 2018-01-26
阿里巴巴(江西)有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above method requires a lot of labor costs, and the recommended products also have heavy subjective preferences of operators, which may not meet the needs and preferences of most consumers
In addition, the above method is also poor in timeliness. It can only recommend products that are already widely popular to consumers, and cannot predict the trend of products that may be popular in the future.

Method used

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  • Business object recommendation method, device and system
  • Business object recommendation method, device and system
  • Business object recommendation method, device and system

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Embodiment Construction

[0199] In order to make the above objects, features and advantages of the present application more obvious and comprehensible, the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0200] refer to figure 1 , which shows a flow chart of steps in Embodiment 1 of a method for recommending a business object of the present application, which may specifically include the following steps:

[0201] Step 101, acquiring first data in a first information base, where the first data has corresponding first attribute information;

[0202] In this embodiment of the present application, the first information database may be a social networking site database, for example, microblogs, forums, and so on. Taking microblog as an example, each microblog published by a user can include corresponding attribute information, such as user information, time of microblog release, number of comments, number of...

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Abstract

Embodiments of the invention provide a business object recommendation method, device and system. The method comprises the following steps of: obtaining first data of a first information library, wherein the first data comprises corresponding first attribute information; extracting first label information of the first data according to the first attribute information; extracting second label information of second data of a second information library from the second data; searching a business object comprising the first label information and the second label information from a fourth informationlibrary; and recommending the business object to a user. according to the method, device and system, the problem that recommended business objects are determined by means of manual operations in theprior art is solved, the business object obtaining efficiency is improved, and the recommended business objects can have wide representativeness and can better match the requirements of users.

Description

technical field [0001] The present application relates to the field of information technology, in particular to a method for recommending business objects, a device for recommending business objects, and a system for recommending business objects. Background technique [0002] E-commerce usually refers to a wide range of commercial and trade activities around the world, under the open network environment of the Internet, based on the browser / server application mode, buyers and sellers conduct various business and trade activities without meeting each other, so as to realize online shopping for consumers and merchants. A new type of business operation model for online transactions and online electronic payments, as well as various business activities, transaction activities, financial activities and related comprehensive service activities. [0003] Today, e-commerce websites such as Taobao and Tmall are able to bring together commodities from all over the world online for co...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q50/00G06F17/30
Inventor 杨洋王瑜叶舟苏飞张亚楠吕守宇
Owner 阿里巴巴(江西)有限公司
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