Data mining method and device

A technology of data mining and purchasing data, which is applied in data processing applications, market forecasting, business, etc., and can solve unrealistic problems

Inactive Publication Date: 2016-12-21
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0004] However, with the development of Internet technology, commodity sellers, especially e-commerce sales platforms, have a huge variety of commodi

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Embodiment Construction

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0042] Aiming at how to select suitable commodities to count the cycles of these commodities and use them as a reference for marketing activities, this proposal is proposed.

[0043] The data mining device in the embodiment of the present invention can each be realized by various computing devic...

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Abstract

The invention discloses a data mining method and device, and relates to the technical field of Internet data mining. The method of the present invention includes: according to the purchase data of the commodity, selecting a seed commodity whose confidence level meets the first preset value, and adding it to the commodity collection; according to the confidence level of the user who purchased the seed commodity, selecting the user whose confidence level satisfies the first preset value Two preset seed users; expand the product collection based on other products purchased by the seed user; determine the average purchase cycle of each seed product in the product collection. The present invention selects seed commodities through the confidence of commodities, and expands the product collection through other commodities purchased by users who have purchased seed commodities, and combines the reference conditions of the two dimensions of commodity confidence and user confidence and collaborative processing, and finally Select commodities from massive commodity data and determine their purchase cycle.

Description

technical field [0001] The invention relates to the technical field of Internet data mining, in particular to a data mining method and device. Background technique [0002] In consumption activities, many commodities have a fixed consumption cycle, and effectively identifying the commodity purchase cycle plays an important role in promoting the organization of production and marketing of commodities. [0003] In the prior art, one or more commodities are usually selected manually, and the average value is calculated according to the shopping frequency and interval, so as to determine the shopping cycle of the commodity. [0004] However, with the development of Internet technology, commodity sellers, especially e-commerce sales platforms, have a huge variety of commodities and a huge user base of hundreds of millions. It is neither realistic nor realistic to calculate the purchase cycle for each commodity. no need. Therefore, calculating the purchase cycle of which commodi...

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Application Information

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IPC IPC(8): G06Q30/02G06Q30/06
CPCG06Q30/0203G06Q30/0623
Inventor 刘朋飞王晓葛胜利李爱华
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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