Method and apparatus for predicting goods price

A technology of commodity price and prediction method, applied in the computer field, can solve the problems of low accuracy of prediction results, one-sidedness, and difficulty in becoming an effective reference for buyers to purchase commodities, etc., to achieve the effect of improving the accuracy of prediction

Inactive Publication Date: 2016-08-17
KINGDEE SOFTWARE(CHINA) CO LTD
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Problems solved by technology

[0004] There are certain problems with this forecasting method, because there are many factors that affect the price of goods, and it is relatively one-sided to rely solely on the transaction price data of the goods purchased by buyers themselves, and the accuracy of the forecast results is low, making it difficult for the forecast results to be used by buyers. A valid reference for the item

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  • Method and apparatus for predicting goods price
  • Method and apparatus for predicting goods price
  • Method and apparatus for predicting goods price

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Embodiment Construction

[0043] The core of the present invention is to provide a commodity price prediction method and device to improve the accuracy of commodity price prediction.

[0044] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. 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.

[0045] see figure 1 As shown, it is an implementation flowchart of a commodity price prediction method provided by an embodiment of the present invention, and the method may include the following steps:

[0046] S110: Determine the target commodity who...

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Abstract

The invention discloses a method and apparatus for predicting goods price. The method includes the steps of determining a target good, of which the price is to be predicted by a user, obtaining the transaction price data of the target good of the user, obtaining the price reference data that affect the price of the target good, pre-treating the transaction price data and the price reference data, obtaining input data matching with a preset prediction model, inputting the input data in the preset prediction model, and obtaining the predicted price of the target good. When the technical scheme is used for predicting the price of a target good, the transaction price data and price reference data are taken into consideration. The prediction accuracy can be improved, and effective reference can be provided to actual operation behavior of the user.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a commodity price prediction method and device. Background technique [0002] Commodity price forecasting refers to analyzing and judging the dynamics of commodity price changes based on relevant price information and using scientific methods to obtain the predicted price of commodities. Predicting commodity prices helps buyers determine whether to execute purchases or determine the quantity of purchased commodities based on the predicted commodity prices. With the rapid development of computer technology, commodity price forecasting has received more and more attention. [0003] At present, when predicting the price of a commodity for buyers, the data used is the transaction price data of the commodity purchased by the buyer himself, and the price of the commodity in the next period is predicted according to the fluctuation of the transaction price of the commodity in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06F17/30
CPCG06F16/951G06Q30/0283
Inventor 李鑫楠张良杰陈恒黄译萱蔡晓胜
Owner KINGDEE SOFTWARE(CHINA) CO LTD
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