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Service object data processing method, service object information recommendation method and device

A technology of business objects and recommendation methods, applied in the field of data processing, can solve the problems of inaccurate recommendation of similar products, inapplicable to the recommendation scenarios of air travel products, etc., and achieve the effect of avoiding data sparse

Inactive Publication Date: 2019-10-18
ALIBABA GRP HLDG LTD
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Problems solved by technology

However, in the scenario of air travel product recommendation, user behavior is relatively sparse, and many features are difficult to be captured by machine learning models, which causes the problem of inaccurate recommendation of similar products based on user characteristics. Demand has a clear impact, so the current recommendation method is not suitable for the scenario of air travel product recommendation, and the travel products or services recommended to users do not match the current needs of users

Method used

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  • Service object data processing method, service object information recommendation method and device
  • Service object data processing method, service object information recommendation method and device
  • Service object data processing method, service object information recommendation method and device

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Embodiment Construction

[0080] 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.

[0081] refer to figure 1 , which shows a flow chart of the steps of an embodiment of a business object data processing method of the present application, which may specifically include the following steps:

[0082] In step 101, historical behavior data of a user for a business object is acquired, and the historical behavior data includes the occurrence time of the historical behavior.

[0083] In this embodiment of the application, the business object may be a characteristic object of the business field. For example, in the tourism industry, the business object may be a tourism product or service, and in the e-commerce field, the business object may be a commodity.

[0084] Historical behavior data can ...

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Abstract

The embodiment of the invention provides a service object data processing method and device and a service object information recommendation method and device. The service object information recommendation method comprises the following steps of extracting pre-acquired element characteristics of historical behavior data of the user for the service object, determining a behavior stage of the user according to the element characteristics; recommending related information of the service object based on the behavior stage. According to the embodiment of the invention, the behavior stage of the usercan be determined according to the element characteristics of the historical behavior data of the user; recommending related information of the service object according to the behavior stage; the related information of the service object can be recommended according to different behavior stages of the user, so that the problem of inaccuracy of recommending commodities with high similarity according to user characteristics due to sparse data related to the user characteristics is avoided, related information can be recommended according to the behavior stage of the user, so that the recommended information is closer to the requirements of the user, and the recommendation precision is improved.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular to a business object data processing method and business object data processing device, a business object information recommending method, and a business object information recommending device. Background technique [0002] With the development of e-commerce, purchasing goods or services on e-commerce platforms has become more and more popular, and how to recommend information of interest to users to guide the transaction of goods or services has become increasingly important. [0003] At present, personalized recommendations in e-commerce scenarios mainly form user characteristics through user behavior and attributes, and use machine learning models to find products that are closer to user characteristics for recommendation. However, in the scenario of air travel product recommendation, user behavior is relatively sparse, and many features are difficult to be capt...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0631G06F16/9535
Inventor 刘润尘孙凯何恒旭姜志
Owner ALIBABA GRP HLDG LTD
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