KR20140056801A - Method and apparatus for calculating to measure influential power of users - Google Patents

Abstract

A purchasing influence index calculating server is disclosed in the present invention. The server includes: a purchasing information collection part for collecting purchasing information of a purchaser; and a purchasing influence index calculation part which receives the purchasing information from the purchasing information collection part, and calculates a first index on the basis of purchasing number of a pay product purchased by the purchaser and another purchaser in common and total purchase amount of the pay product, and calculates a second index on the basis of purchasing number of a free product purchased by the purchaser and another purchaser in common, and reflects a contribution weight given according to the contribution of the first index and the second index to the purchase influence respectively on the first index and the second index, and sums the first index and the second index reflected with the weight, and calculates a purchasing influence index of the purchaser.

Description

[0001] METHOD AND APPARATUS FOR CALCULATING THE USER '

BACKGROUND OF THE INVENTION 1. Field of the Invention [0002] The present invention relates to a purchasing power evaluation method of a purchaser, and more particularly, to a purchasing power evaluation method capable of reflecting a product attribute, a buyer characteristic, and the like.

The method of evaluating purchasing power of purchasing customers used in a traditional offline market and a shopping mall or an online market which is located on the Internet or a mobile portal site is a method of measuring and evaluating the cumulative amount of money spent by the customer in the shopping mall during a specific period . Although the total cumulative amount of expenditure is not large, the customers who visit frequently are judged to be loyal customers, and the accumulated amount and the number of visits are used for the purchasing power evaluation method.

However, there are limitations in evaluating customers' purchasing power or loyalty by considering only the accumulated amount or the number of visits, because the products that are traded in the online market include application programs.

The necessity to overcome these limitations is highlighted by the fact that commodities with free commodity prices (for example, free apps sold in the mobile market) are emerging, and in determining purchasing power of purchasers purchasing a large number of free commodities, It is difficult to judge the factor to be considered in purchasing power index. Since the sum of free items is always 0 regardless of the number of purchases, the purchasing power of the customer can not be evaluated in a manner that reflects the accumulated amount.

As a marketing tool to attract more new customers and induce repurchase to existing buyers while trading a variety of products traded in the offline market through internet or mobile portal site and online market, And a method of indexing purchasing power and utilizing the index has been proposed. However, the number of customers who can not easily understand the cumulative amount and the frequency of purchasing is increasing. Therefore, it is required to measure the influence or loyalty based on the purchasing power of the customer more precisely while overcoming such limitations.

It is an object of the present invention to propose a buying power evaluation method of a purchaser and a device used therefor. More specifically, it is an object of the present invention to provide a purchasing influence evaluation method and apparatus capable of reflecting a product attribute (price, number of sales, etc.) and a buyer characteristic (point of purchase, etc.).

The present specification provides, as one embodiment, a purchase impact index calculating server. The server includes a purchase information collecting unit for collecting purchase information of a purchaser; A first index calculating unit that receives the purchase information from the purchase information collecting unit and calculates a first index based on the number of purchases of the paid goods commonly purchased by the buyer and other buyers and the total purchase amount of the paid goods, Calculating a second index based on the number of purchases of free goods commonly purchased by other buyers, and assigning a contribution weight assigned according to the degree of contribution of each of the first index and the second index to the purchasing influence, And a purchasing influence index calculating unit for calculating the purchasing influence index of the purchaser by adding the first index and the second index reflecting the weight to each of the indexes and the second indexes.

The paid product may be a paid product whose price is included in a predetermined range.

The purchase influence index calculation unit may calculate the second index by applying the purchase number weight given according to the total number of purchase of the free goods to the purchase number of the free goods.

Wherein the purchase influence index calculation unit can calculate the first index using the following equation,

는 구매영향력지수 산출 대상인 구매자 A와 다른 구매자 B가 공통적으로 구매한 유료 상품의 개수이고, 상기

는 상기 구매자 A와 상기 다른 구매자 B가 공통적으로 구매한 유료 상품의 가격 총액이며,Here,

Is the number of paid goods commonly purchased by the purchaser A and the buyer B other than the buyer A,

Is the total price of the paid goods commonly purchased by the buyer A and the other buyer B,

The second exponent may be calculated using the following equation,

는 무료 상품의 총 구매 횟수에 따라 구분된 하나 이상의 구매구간이고, 상기

는 상기 구매구간마다 부여된 구매 횟수 가중치이고, 상기

는 상기 구매구간에서 상기 구매자와 다른 구매자가 공통적으로 구매한 무료 상품의 구매 횟수이며,Here,

Is one or more purchase periods divided according to the total number of purchase of free goods,

Is a purchase number weight assigned to each purchase section,

Is the number of purchases of free goods that the purchaser and other buyers have commonly purchased in the purchase period,

The purchase influence index can be calculated using the following equation,

는 구매영향력지수 산출 대상인 구매자 A의 구매영향력지수이고, 상기

는 상기 제1 지수가 구매영향력지수에 기여하는 기여 가중치이고, 상기

는 상기 제2 지수가 구매영향력지수에 기여하는 기여 가중치이다.here

Is the purchasing power influence index of the purchaser A as the purchase impact index calculation target,

Is a contribution weight in which the first index contributes to the purchase influence index,

Is a contribution weight in which the second index contributes to the purchasing power influence index.

The purchasing influence index calculating unit may reflect the purchasing time weight given to each purchase influence index calculated for each period by the purchase time point of the product and add the purchasing influence indexes according to the weighted period An adoption level index indicating the initial level of acceptance can be calculated.

The present specification provides a method of calculating the purchase influence index as another embodiment. Calculating a first index based on a number of purchases of the paid goods commonly purchased by the purchaser and other buyers and a total purchase amount of the paid goods; Calculating a second index based on the number of purchases of free goods commonly purchased by the buyer and other buyers; The first index and the second index are respectively reflected in the first index and the second index in accordance with the contribution degree of each of the first index and the second index, And calculating the purchasing power influence index of the purchaser by summing up the indexes.

The paid product may be a paid product whose price is included in a predetermined range.

Wherein the step of calculating the first index is a step of calculating a first index based on a result value obtained by inputting the total purchase amount of the paid goods into a predetermined function and a purchase number of the paid goods, May be defined for a non-negative real number and may be an increasing function having a positive real number as an input value.

The step of calculating the second index may be a step of calculating the second index by applying a purchase number weight given according to the total number of purchases of the free goods to the number of purchases of the free goods.

The step of calculating the first exponent may be the step of calculating the first exponent using the following equation,

는 구매영향력지수 산출 대상인 구매자 A와 다른 구매자 B가 공통적으로 구매한 유료 상품의 개수이고, 상기

는 상기 구매자 A와 상기 다른 구매자 B가 공통적으로 구매한 유료 상품의 가격 총액이며,Here,

Is the number of paid goods commonly purchased by the purchaser A and the buyer B other than the buyer A,

Is the total price of the paid goods commonly purchased by the buyer A and the other buyer B,

The step of calculating the second exponent may be the step of calculating the second exponent using the following equation,

는 무료 상품의 총 구매 횟수에 따라 구분된 하나 이상의 구매구간이고, 상기

는 상기 구매구간마다 부여된 구매 횟수 가중치이고, 상기

는 상기 구매구간에서 상기 구매자와 다른 구매자가 공통적으로 구매한 무료 상품의 구매 횟수이며,Here,

Is one or more purchase periods divided according to the total number of purchase of free goods,

Is a purchase number weight assigned to each purchase section,

Is the number of purchases of free goods that the purchaser and other buyers have commonly purchased in the purchase period,

The step of calculating the purchase influence index may be a step of calculating the second index using the following equation,

는 구매영향력지수 산출 대상인 구매자 A의 구매영향력지수이고, 상기

는 상기 제1 지수가 구매영향력지수에 기여하는 기여 가중치이고, 상기

는 상기 제2 지수가 구매영향력지수에 기여하는 기여 가중치이다.here

Is the purchasing power influence index of the purchaser A as the purchase impact index calculation target,

Is a contribution weight in which the first index contributes to the purchase influence index,

Is a contribution weight in which the second index contributes to the purchasing power influence index.

The method comprises the steps of: reflecting a purchasing time weight assigned to each purchase point of the product in each purchase influence index calculated for each predetermined period of time; And a step of calculating an adoption level index.

The embodiments of the present invention have the effect of more accurately evaluating purchasing power by reflecting recent purchasing tendencies in the process of analyzing purchasing history of users and evaluating purchasing power. In other words, there is an advantage that free goods can be evaluated more accurately by including the purchase effect evaluation in meeting the necessity of selecting a new purchasing power index according to the appearance of free goods. Furthermore, the embodiments of the present invention can also achieve the effect of positively utilizing customized marketing such as differential advertisement, recommendation, and selective event event according to the customer's purchasing power level.

FIGS. 1A and 1B are a flowchart and an exemplary diagram illustrating a method for calculating a purchase impact index according to an embodiment of the present invention.
2 is a block diagram of a purchasing power index calculating server according to an embodiment of the present invention.

It is noted that the technical terms used herein are used only to describe specific embodiments and are not intended to limit the invention. It is also to be understood that the technical terms used herein are to be interpreted in a sense generally understood by a person skilled in the art to which the present invention belongs, Should not be construed to mean, or be interpreted in an excessively reduced sense.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings, wherein like reference numerals refer to like or similar elements throughout the several views, and redundant description thereof will be omitted. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail.

FIGS. 1A and 1B are a flowchart and an exemplary diagram illustrating a method for calculating a purchase impact index according to an embodiment of the present invention.

First, FIG. 1A is a flowchart illustrating a method for calculating a purchase impact index according to an embodiment of the present invention. The purchase influence index calculation method is performed by a purchase influence index calculation server (hereinafter referred to as a server). The server collects purchase information of a plurality of purchasers from an internal or external device (S210). The purchase information includes information such as a purchase item, a purchase date, and a purchase amount for each buyer.

The server can analyze a common purchasing relationship between buyers based on the purchase information. That is, it is possible to analyze the relationship between the number of paid / free merchandise purchased by a plurality of purchasers and the purchase amount. Here, the diagram that visually shows the common purchase relationship is referred to as a 'graph network'. The 'graph network' is composed of a node and an edge, the node represents a buyer, and the edge represents purchase information for a product commonly purchased by two buyers. 1B is an illustration of the 'graph network'.

Referring to FIG. 1B, the server compares the number of products purchased by two buyers in common for a predetermined period of time, and the total amount of money spent on the commodities that are commonly purchased is divided into edge ) As a parameter. Here, the parameter may be composed of (number of paid goods, number of free goods, purchased amount).

For example, from the analysis of purchase information from June 1 to 30, 2012, it is assumed that buyers A and B purchased a total of five identical goods a, b, c, d, and e. It is also assumed that buyers A and C bought a total of seven goods a, c, e, f, g, h, i in the same period.

The prices of goods a, b, and c are 5,000, 5,000, 10,000, and 3,000 won, respectively. When goods d, e, f, g and h are free (0 won) node, and the edge parameter between the two nodes is (3, 2, 16000). On the other hand, at the edge where buyer A and node C are nodes, the edge parameter between two nodes becomes (3, 4, 14000).

 Here, if the number indicating the price is large, a log value may be used for scaling down. For example, log10 (purchase amount + 10) is used instead of purchase amount. In this case (3, 2, log 10 (16010)) and (3, 4, log 10 (14010)) are the edge parameters of A-B and A-C, respectively. (An example of which is shown in FIG. 1B).

In the graph network analysis, only the case where the individual price of the commodity purchased jointly between two nodes is included in the predetermined range can be included in the analysis. For example, the graph network analysis may be performed only on products of less than 10,000 won, or the graph network analysis may be performed on products of 50 yen to 5000 yen price only. This restriction can help prevent a small number of high priced products from having too much of an impact on the analysis.

Through the above method, the server analyzes the common purchase relationship based on the common purchasing history between all purchasers.

Next, the server calculates the purchase influence index of each purchaser. At this time, the server calculates a first index based on the number of purchases of the paid goods commonly purchased by the purchaser and other buyers and the total purchase amount of the paid goods (S220); (S230) a second index based on the number of purchases of free goods commonly purchased by the buyer and other buyers; The purchasing power influence index may be calculated by summing the first index and the second index at a predetermined ratio (S240).

The first index is an index that reflects the purchase of the paid product in the purchase influence index, and can be calculated as Equation (1).

는 구매영향력지수 산출 대상인 구매자 A와 다른 구매자 B가 공통적으로 구매한 유료 상품의 개수이고, 상기

는 상기 구매자 A와 상기 다른 구매자 B가 공통적으로 구매한 유료 상품의 가격 총액이다. 상기 수학식 1에서 다른 구매자 B는 1인만을 지칭하는 것이 아니고, 구매영향력지수 산출 대상인 구매자 A 이외의 모든 구매자를 의미한다. 즉, 구매자 A와 공통 구매정보가 있는 모든 구매자에 대하여 상기 제1 지수가 계산된다.Here,

Is the number of paid goods commonly purchased by the purchaser A and the buyer B other than the buyer A,

Is the total price of the paid merchandise purchased by the purchaser A and the other purchaser B in common. In the above Equation (1), the other buyer B does not refer to only one person but refers to all buyers other than the buyer A to which the purchase impact index is calculated. That is, the first index is calculated for Buyer A and for all buyers with common purchase information.

In the example of FIG. 1B, the first index is calculated as follows.

와 같이 계산된다.In the relationship between the buyer A and the buyer B, the number of paid goods purchased by A and B in common is 3, and the total price of the paid goods purchased in common is 16,000 won. Also, in relation to buyer A and C, the number of paid products purchased by A and C in common is three, and the total price of the paid product purchased in common is 14,000 won. Accordingly, the first index

.

Here we use the Log function to scale the total amount of the paid product purchase, but we can use other functions that we think are appropriate. For example, it is possible to assign a representative value of each section by dividing the price section according to the price distribution of the commodity, or to scale up the price to increase the influence of the price. In addition to this, it is also possible to calculate the first index based on the result of inputting the total amount of purchased goods in an increasing function having a positive real number as an input value, which is defined for a non-negative real number.

Next, the second index may be calculated by applying the weight of the number of purchases given according to the total number of purchases of free goods to the number of purchases of the free goods, where the free goods purchase is reflected in the purchase power index.

The second exponent may be calculated as: < EMI ID = 2.0 >

는 무료 상품의 총 구매 횟수에 따라 구분된 하나 이상의 구매구간이고, 상기

는 상기 구매구간마다 부여된 구매 횟수 가중치이고, 상기

는 상기 구매구간에서 상기 구매자와 다른 구매자가 공통적으로 구매한 무료 상품의 구매 횟수이다. 상기 수학식 2는 각 구매 구간에서 각각 계산되어 합산된다.Here,

Is one or more purchase periods divided according to the total number of purchase of free goods,

Is a purchase number weight assigned to each purchase section,

Is the number of purchases of the free goods that the purchaser and other buyers purchased in common during the purchase interval. Equation (2) is calculated and summed in each purchase period.

In the example of FIG. 1B, the second index is calculated as follows.

와 같이 계산된다.In the relationship between buyer A and buyer B, the number of free goods purchased jointly by A and B is two (d, e). Also, in the relationship between buyers A and C, the number of free goods purchased by A and C is four (e, f, g, h). If all of the purchasing frequency weights given in accordance with the total number of purchases of each free goods are all 1,

.

와 같이 계산된다.If the free goods d and e are goods in the period in which the purchasing frequency weight is 1.2, f is 1.4, and g and h are products in the interval of 1.6,

.

When the first index and the second index are calculated as described above, the server may calculate the purchasing power index by summing the first index and the second index at a predetermined ratio. That is, the contribution index assigned according to the degree of contribution of each of the first index and the second index to the influence of purchasing is reflected on each of the first index and the second index, and the first index and the second index, The buyer's purchasing power index can be calculated by adding the second index. The purchasing power influence index can be calculated as shown in Equation (3).

는 구매영향력지수 산출 대상인 구매자 A의 구매영향력지수이고, 상기

는 상기 제1 지수가 구매영향력지수에 기여하는 기여 가중치이고, 상기

는 상기 제2 지수가 구매영향력지수에 기여하는 기여 가중치이다. 예컨대 유료상품의 기여 가중치가 70%, 무료상품의 기여 가중치가 30%라면, 제1 지수의 기여 가중치

는 0.7이고, 제2 지수의 기여 가중치는 0.3이 된다.here

Is the purchasing power influence index of the purchaser A as the purchase impact index calculation target,

Is a contribution weight in which the first index contributes to the purchase influence index,

Is a contribution weight in which the second index contributes to the purchasing power influence index. For example, if the contribution weight of the paid product is 70% and the contribution weight of the free product is 30%, the contribution weight of the first index

Is 0.7, and the contribution weight of the second index is 0.3.

가 0.7인 경우, 도 1b의 예에서 상기 구매영향력지수는 아래와 같이 계산된다.

Is 0.7, the purchase influence index in the example of FIG. 1B is calculated as follows.

(The free items d, e, f, g, and h are all the products of the section where the number of purchases is one)

or

 (The free goods d and e are goods in the section where the number of purchase times is 1.2, f is 1.4, and g and h are goods in the section with 1.6)

The purchase influence index calculating server can calculate the purchase influence index for each buyer through the above steps. In addition, the server may assign a predetermined interval value by sorting the calculated purchase influence indexes in descending order. For example, if the interval value is set to 1 to 5 and the interval value is distributed in a decentralized manner, the user having the highest 20% purchasing power influence index value is given the interval value 1, and the next 20% The user having the interval value 2 can give the interval value to all users in a manner of receiving the interval value 2. Such a purchasing power influence interval value is simpler than the purchasing power influence index and is graded so that it can be used for marketing instead of the purchasing influence index value.

When calculating the purchase influence index, the server can calculate the buyer's purchase propensity. That is, it is determined whether or not the purchaser is an early adopter considering the purchase date of the purchaser with respect to the release date of the commodity. In other words, each purchasing influence index calculated for each predetermined period reflects the purchasing time weight given at the time of purchase of the commodity, and the acceptance level indicating the initial acceptance level of the commodity And to calculate the adoption level index. An example of the reception level index calculation is shown in Equation (4).

는 상품을 구매한 날을 출시일 대비 수 개의 구간(m개)으로 나누고, k가 1부터 m까지 변할 때, 구매자 A의 BPI 값이다.here,

Is the BPI value of the buyer A when k is varied from 1 to m, by dividing the date of purchase of the product by several sections (m) in relation to the release date.

One example of such a method of reflecting the purchase propensity is that when an edge is formed between two purchasers in the calculation of the purchase impact index, a commonly purchased commodity is limited to "when the commodity is included in a certain period from the commodity release date" Lt; / RTI > Referring to FIG. 1B, the following will be described.

Buyers A and B purchased five identical goods a, b, c, d and e, and A and C were supposed to purchase a total of seven goods a, c, e, f, g, do. Also assume that the price of product a is 1,000 won, b is 5000 won, c is 10,000 won, i is 3000 won and d, e, f, g, h are free (0 won). It is further assumed that products a, b, f, and g were purchased within one week from the date of launch and products c, d, e, h, and i purchased between one week and two weeks after launch. If a product is purchased within one week after launch, if the graph network is formed, the products included in the edge generation between node A and node B become a and b, (2, 0, log10 (1000 + 5000 + 10)). In the case of a product purchased within two weeks after release, the edge parameter between A and B is (3, 2, log10 (16010)) because it includes all items a, b, c, d and e.

If the same analysis is performed for nodes A and C, the products included in the edge between nodes A and C within one week after the release become a, f, and g, and the edge between A and C edge) is (1,2, log10 (1000 + 10)). (3, 4, log10 (14010)), since the parameters of the edge between A and C when the product is purchased within two weeks after the launch are all included in the products a, c, e, f, g, .

In the above analysis, if a new weight is added to a new product (assuming that the weight is 1.5 when the purchase date is within one week from the date of release and 1.2 when the purchase date is within two weeks) The Adequacy Level Index (ALI) is obtained as follows.

ALI (A) = 1.5 * (BPI value of A when the date of purchase is within one week from the date of release of the product) + 1.2 * (BPI value of A when the date of purchase is within two weeks from the date of release of the product)

이고, 출시일로부터 2주 이내인 경우 A의 BPI 값은

이 된다.
If the purchase date is within one week from the date of release of the product, the BPI value of A

And the BPI value of A is within two weeks from the release date

.

2 is a block diagram of a purchasing power index calculating server according to an embodiment of the present invention.

The purchase influence index calculation server 100 may include a purchase information collection unit 101 and a purchase influence index calculation unit 102. The purchase influence index calculation server 100 may further include a storage unit 103. [ The purchase impact index calculation server 100 may perform the methods described in FIG. This will be described in detail as follows.

The purchase information collection unit 101 may collect purchase information of a plurality of purchasers from the internal or external device 10. [ The purchase information includes information such as a purchase item, a purchase date, and a purchase amount for each buyer.

The purchase influence index calculation unit 102 receives the purchase information from the purchase information collection unit 101. [ The purchasing power influence index calculation unit 102 can calculate the purchasing power influence index of the purchaser. At this time, the purchase influence index calculation unit 102 calculates a first index based on the number of purchases of the paid goods commonly purchased by the buyer and the other buyers and the total purchase amount of the paid goods, The second index is calculated based on the number of purchases of the free goods commonly purchased by the first index and the second index, and the contribution weight assigned according to the degree of contribution of each of the first index and the second index to the purchasing influence, The purchasing power of the purchaser can be calculated by adding the first exponent and the second exponent that reflect the weight to the second exponent.

At this time, the paid product may be a paid product whose price is included in a predetermined range.

The purchasing influence index calculating unit 102 may calculate the first index based on the result obtained by inputting the total purchase amount of the to-be-paid product into a predetermined function and the number of purchases of the to-be-paid goods, May be an increasing function defined for a non-negative real number and having a positive real number as an input value.

The purchase influence index calculation unit 102 may calculate the second index by applying the purchase number weight given according to the total number of purchase of the free goods to the purchase number of the free goods.

The purchase influence index calculation unit 102 may calculate the first index using the following equation.

는 구매영향력지수 산출 대상인 구매자 A와 다른 구매자 B가 공통적으로 구매한 유료 상품의 개수이고, 상기

는 상기 구매자 A와 상기 다른 구매자 B가 공통적으로 구매한 유료 상품의 가격 총액이다. Here,

Is the number of paid goods commonly purchased by the purchaser A and the buyer B other than the buyer A,

Is the total price of the paid merchandise purchased by the purchaser A and the other purchaser B in common.

The purchase influence index calculation unit 102 may calculate the second index using the following equation.

는 무료 상품의 총 구매 횟수에 따라 구분된 하나 이상의 구매구간이고, 상기

는 상기 구매구간마다 부여된 구매 횟수 가중치이고, 상기

는 상기 구매구간에서 상기 구매자와 다른 구매자가 공통적으로 구매한 무료 상품의 구매 횟수이다.Here,

Is one or more purchase periods divided according to the total number of purchase of free goods,

Is a purchase number weight assigned to each purchase section,

Is the number of purchases of the free goods that the purchaser and other buyers purchased in common during the purchase interval.

The purchase influence index calculating unit 102 may calculate the purchase influence index using the following equation.

는 구매영향력지수 산출 대상인 구매자 A의 구매영향력지수이고, 상기

는 상기 제1 지수가 구매영향력지수에 기여하는 기여 가중치이고, 상기

는 상기 제2 지수가 구매영향력지수에 기여하는 기여 가중치이다. here

Is the purchasing power influence index of the purchaser A as the purchase impact index calculation target,

Is a contribution weight in which the first index contributes to the purchase influence index,

Is a contribution weight in which the second index contributes to the purchasing power influence index.

The purchase influence index calculation unit 102 reflects the purchasing point weights assigned according to the purchasing point of time of each product in each period of purchase influence index calculated for each predetermined period and calculates the purchasing influence index It is possible to calculate an adoption level index that represents the initial level of acceptance of a product.

Thus, those skilled in the art will appreciate that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. It is therefore to be understood that the embodiments described above are to be considered in all respects only as illustrative and not restrictive.

For example, the purchase impact index calculation server 100 or user terminal according to the present invention may store information by a memory, in one embodiment, the memory is a computer-readable medium. In one implementation, the memory may be a volatile memory unit, and in other embodiments the memory may be a non-volatile memory unit. The memory may also include, for example, a hard disk device, an optical disk device, or any other mass storage device.

The purchasing power index calculation server 100 or the user terminal may also be connected to one or more network interface devices such as an Ethernet card, for example a serial communication device such as an RS-232 port and / or a wireless interface device such as an 802.11 card as an external input / output device . In other implementations, such input / output devices may include driver devices configured to transmit output data to other input / output devices and receive input data, such as keyboards, printers, display devices, and the like.

The purchase impact index calculation server 100 can be realized by an instruction that causes one or more processing apparatuses to perform the above-described functions and processes at the time of execution. Such instructions may include, for example, interpreted instructions such as script commands, such as JavaScript or ECMAScript commands, or other instructions stored in executable code or computer readable media.

The purchase influence index calculation server 100 according to the present invention may be implemented in a distributed manner over a network such as a server farm or a single computer device.

Implementations of the functional operations and the subject matter described herein may be implemented in digital electronic circuitry, or may be implemented in computer software, firmware, or hardware, including the structures disclosed herein, and structural equivalents thereof, It can be implemented. Implementations of the subject matter described herein may be implemented as one or more computer program products, i. E. One or more modules relating to computer program instructions encoded on a type of program storage medium for execution by, or control of, the operation of the processing system Can be implemented.

The computer-readable medium can be a machine-readable storage device, a machine-readable storage substrate, a memory device, a composition of matter that affects the machine readable propagation type signal, or a combination of one or more of the foregoing.

The term " system " or " device "encompasses any apparatus, apparatus, and machine for processing data, including, for example, a programmable processor, a computer or multiple processors or computers. A code that forms the processor firmware, a protocol stack, a database management system, an operating system, or a combination of one or more of these, for example, code that forms an execution environment for a computer program upon request.

A computer program (also known as a program, software, software application, script or code) may be written in any form of programming language, including compiled or interpreted language, a priori or procedural language, Components, subroutines, or other units suitable for use in a computer environment. A computer program does not necessarily correspond to a file in the file system. The program may be stored in a single file provided to the requested program, or in multiple interactive files (e.g., a file storing one or more modules, subprograms, or portions of code) (E.g., one or more scripts stored in a markup language document). A computer program may be deployed to run on multiple computers or on one computer, located on a single site or distributed across multiple sites and interconnected by a communications network.

On the other hand, computer readable media suitable for storing computer program instructions and data include semiconductor memory devices such as, for example, EPROM, EEPROM and flash memory devices, such as magnetic disks such as internal hard disks or external disks, Non-volatile memory, media and memory devices, including ROM and DVD-ROM disks. The processor and memory may be supplemented by, or incorporated in, special purpose logic circuits.

Implementations of the subject matter described herein may include, for example, a back-end component such as a data server, or may include a middleware component, such as an application server, or may be a web browser or a graphical user, for example a user, who may interact with an implementation of the subject- Front-end components such as client computers with interfaces, or any combination of one or more of such back-end, middleware, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication, such as, for example, a communications network.

While the specification contains a number of specific implementation details, it should be understood that they are not to be construed as limitations on the scope of any invention or claim, but rather on the description of features that may be specific to a particular embodiment of a particular invention Should be understood. Likewise, the specific features described herein in the context of separate embodiments may be implemented in combination in a single embodiment. Conversely, various features described in the context of a single embodiment may also be implemented in multiple embodiments, either individually or in any suitable subcombination. Further, although the features may operate in a particular combination and may be initially described as so claimed, one or more features from the claimed combination may in some cases be excluded from the combination, Or a variant of a subcombination.

It is also to be understood that although the present invention is described herein with particular sequence of operations in the drawings, it is to be understood that it is to be understood that it is to be understood that all such illustrated acts have to be performed or that such acts must be performed in their particular order or sequential order, Can not be done. In certain cases, multitasking and parallel processing may be advantageous. Also, the separation of the various system components of the above-described embodiments should not be understood as requiring such separation in all embodiments, and the described program components and systems will generally be integrated together into a single software product or packaged into multiple software products It should be understood that

As such, the present specification is not intended to limit the invention to the specific terminology presented. Thus, while the present invention has been described in detail with reference to the above examples, those skilled in the art will be able to make adaptations, modifications, and variations on these examples without departing from the scope of the present invention. The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

100: Purchasing influence index calculating server

Claims (12)

A purchase information collection unit for collecting purchase information of the purchaser;
A first index calculating unit that receives the purchase information from the purchase information collecting unit and calculates a first index based on the number of purchases of the paid goods commonly purchased by the buyer and the other purchaser and the total purchase amount of the paid goods,
Calculates a second index based on the number of purchases of free goods commonly purchased by the buyer and other buyers,
The first index and the second index are respectively reflected in the first index and the second index in accordance with the contribution degree of each of the first index and the second index, And a purchasing power index calculating unit for calculating the purchasing power index of the purchaser by summing up the purchasing power indexes. The method according to claim 1,
Wherein the paid product is a paid product whose price is included in a predetermined range. The method according to claim 1,
Wherein the purchasing influence index calculating section calculates the second index by applying the purchase number weight given in accordance with the total number of purchase of the free goods to the purchase number of the free goods. The method according to claim 1,
Wherein the purchasing influence index calculating section calculates,
Calculating the first exponent using the following equation,

Here,

Is the number of paid goods commonly purchased by the purchaser A and the buyer B other than the buyer A,

Is the total price of the paid goods commonly purchased by the buyer A and the other buyer B,
Calculating the second exponent using the following equation,

Here,

Is one or more purchase periods divided according to the total number of purchase of free goods,

Is a purchase number weight assigned to each purchase section,

Is the number of purchases of free goods that the purchaser and other buyers have commonly purchased in the purchase period,
The purchasing power index is calculated using the following equation,

here

Is the purchasing power influence index of the purchaser A as the purchase impact index calculation target,

Is a contribution weight in which the first index contributes to the purchase influence index,

Is a contribution weight that the second index contributes to the purchasing power influence index. The method according to claim 1,
The purchasing influence index calculating unit may reflect the purchasing time weight given to each purchase influence index calculated for each period by the purchase time point of the product and add the purchasing influence indexes according to the weighted period And an acceptance level index indicating an initial acceptance level is calculated. A method for calculating a purchase influence index of a purchaser,
Calculating a first index based on a number of purchases of the paid goods commonly purchased by the buyer and other buyers and a total purchase amount of the paid goods;
Calculating a second index based on the number of purchases of free goods commonly purchased by the buyer and other buyers;
The first index and the second index are respectively reflected in the first index and the second index in accordance with the contribution degree of each of the first index and the second index, And calculating the purchasing power influence index of the purchaser by summing up the exponents. The method according to claim 6,
Characterized in that the paid product is a paid product whose price is included in a predetermined range. The method according to claim 6,
Calculating the first index is a step of calculating a first index based on a result value obtained by inputting a total purchase amount of the toll product into a predetermined function and a purchase number of the toll product,
Characterized in that the predetermined function is an increasing function having a positive real number as an input value, defined for a non-negative real number. The method according to claim 6,
The step of calculating the second exponent may comprise:
And calculating the second exponent by applying a purchasing count weight given according to the total number of purchases of the free goods to the number of purchases of the free goods. The method according to claim 6,
Wherein the step of calculating the first exponent is a step of calculating the first exponent using the following equation,

Here,

Is the number of paid goods commonly purchased by the purchaser A and the buyer B other than the buyer A,

Is the total price of the paid goods commonly purchased by the buyer A and the other buyer B,
Wherein the step of calculating the second exponent is a step of calculating the second exponent using the following equation,

Here,

Is one or more purchase periods divided according to the total number of purchase of free goods,

Is a purchase number weight assigned to each purchase section,

Is the number of purchases of free goods that the purchaser and other buyers have commonly purchased in the purchase period,
Wherein the step of calculating the purchase influence index is a step of calculating the second index using the following equation,

here

Is the purchasing power influence index of the purchaser A as the purchase impact index calculation target,

Is a contribution weight in which the first index contributes to the purchase influence index,

Is a contribution weight in which the second index contributes to the purchasing power influence index 7. The method of claim 6,
The purchasing influence index calculated for each predetermined period reflects the purchasing time weight assigned to the product at the time of purchase of the commodity, and the sum of the purchasing influence indexes for each of the weighted periods, further comprising the step of calculating an adoption level index. 12. A computer-readable medium having instructions for performing the steps of the method according to any one of claims 6 to 11.

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