Webpage-text semantic feature based on-line retail sales computation method
A technology of semantic features and web page features, which is applied in computing, semantic analysis, special data processing applications, etc., can solve the problems of lagging statistical results, insufficient use of e-commerce, and lack of fine-grained investigation at the enterprise level, and achieve real-time statistical results. The process is convenient and the data is accurate
Inactive Publication Date: 2014-02-26
TSINGHUA UNIV
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Therefore, this method is only suitable for government-led annual market surveys, and it is difficult for a single organization to implement. In addition, it can only give data at the market level, but lacks detailed investigations at the enterprise level, and the statistical results will be somewhat inconsistent. lag
[0009] In essence, the above three methods continue the thinking of the traditional market, and do not make full use of the characteristics of the online transaction mode of e-commerce.
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[0027] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.
[0028] E-commerce is a full-space, full-time, efficient, and convenient way to achieve transactions. Relying on the Internet, its transaction information is open and available, and technical acquisition methods can eliminate subjective factors to the greatest extent. Therefore, online retail The calculation method of the amount should also be real-time, convenient, objective and accurate.
[0029] Such as figure 1 As shown, it is an implementation process of an online retail sales calculation method based on webpage semantic fea...
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The invention discloses a webpage-text semantic feature based on-line retail sales computation method. The method includes the following steps: performing stratified sampling on netizen population to obtain samples; monitoring Internet surfing behaviors of sample members in real time, discovering released online shopping orders of the sample members on the basis of webpage semantic features, and capturing order amounts from the orders on the basis of the webpage semantic features; performing real-time summary and statistics on sample online shopping information to acquire on-line retail sales, wherein the sample online shopping information includes the orders and the order amounts. The method has the advantages of high real-time performance, high accuracy and high trueness.
Description
technical field [0001] The invention relates to the technical field of Internet big data, in particular to an online retail sales calculation method based on semantic features of web page text. Background technique [0002] The characteristics of Internet access all the time and space, virtualization and openness make e-commerce develop rapidly as a new business model. In order to carry out scientific and effective management, it is usually necessary to count the total online retail sales within a certain period of time. The calculation methods for calculating online retail sales in the prior art can be roughly divided into three categories, which are briefly described as follows. [0003] 1. Settlement center method [0004] This approach requires the target market to have one or more clearinghouses where every transaction is recorded. Because the settlement center records every transaction list, the transaction amount obtained by this method is the most accurate and rea...
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Login to View More IPC IPC(8): G06F17/30G06Q30/00
CPCG06F40/30G06Q30/0201
Inventor 柴跃廷孙骁
Owner TSINGHUA UNIV