KR102638947B1 - System for recommending user customized golf brand - Google Patents

Abstract

According to an embodiment of the present invention, a golf brand information receiving unit that receives information about each golf brand from a plurality of external servers; a golf brand information analysis unit that generates an N-dimensional feature vector for each golf brand; and a customized brand recommendation that receives information about the preferred brand from the user terminal and provides a preset number of brand information as recommendation information to the user terminal in the order of having the characteristic vector of the closest distance to the characteristic vector of the preferred brand. A user-tailored golf brand recommendation system, including wealth, is provided.

Description

User customized golf brand recommendation system{SYSTEM FOR RECOMMENDING USER CUSTOMIZED GOLF BRAND}

The present invention relates to a user-customized golf brand recommendation system, and more specifically, to a system that recommends the most similar and suitable brand to the user based on the user's preferred brand information.

Recently, interest in golf is expanding across all generations, regardless of gender.

Additionally, as aesthetic interest increases, the tendency to place importance on fashion in golf play is becoming more common.

Accordingly, various golf clothing brands are emerging, and sales of existing golf brands are also increasing.

However, because these golf brands have limited uses for clothing, the variety of designs is lower than that of other ready-made clothing, and consumers cannot stick to only clothing from a specific brand.

The characteristics of each golf brand are diverse, but there are so many newly emerging golf brands, and it is difficult for beginners to golf to understand the characteristics or target age group of each brand, making it difficult to choose a golf brand when purchasing golf clothing. .

Therefore, there is a need for technology that can recommend golf-specific clothing brands that reflect the user's characteristics.

The present invention is intended to solve the problems of the prior art described above.

The purpose of the present invention is to enable recommendations for other brands that have the most similar characteristics to the user's preferred brand.

The purpose of the present invention is to make it possible to recommend a brand that has similar characteristics to the user's most preferred brand among brands frequently visited by consumers similar to the user's golf skills.

The objects of the present invention are not limited to the objects mentioned above, and other objects not mentioned can be clearly understood from the description below.

According to an embodiment of the present invention for achieving the above-described object, there is provided a golf brand information receiving unit that receives information about each golf brand from a plurality of external servers; a golf brand information analysis unit that generates an N-dimensional feature vector for each golf brand; and a customized brand recommendation that receives information about the preferred brand from the user terminal and provides a preset number of brand information as recommendation information to the user terminal in the order of having the characteristic vector of the closest distance to the characteristic vector of the preferred brand. A user-customized golf brand recommendation system including wealth is provided.

The user-customized golf brand recommendation system may further include a purchase service provider that supports the purchase of a specific item by providing item information for each clothing category of the brand included in the recommendation information to the user terminal.

The feature vector may include average selling price information for each brand and each clothing category, and average age information of consumers.

According to an embodiment of the present invention, it is possible to recommend another brand that has characteristics most similar to the user's preferred brand.

According to an embodiment of the present invention, it may be possible to recommend a brand that has similar characteristics to the user's most preferred brand among brands frequently visited by consumers similar to the user's golf skills.

1 is a diagram showing the schematic configuration of a user-customized golf brand recommendation system according to an embodiment of the present invention.

The detailed description of the present invention described below refers to the accompanying drawings, which show by way of example specific embodiments in which the present invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. It should be understood that the various embodiments of the invention are different from one another but are not necessarily mutually exclusive. For example, specific shapes, structures and characteristics described herein with respect to one embodiment may be implemented in other embodiments without departing from the spirit and scope of the invention. Additionally, it should be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the invention. Accordingly, the detailed description that follows is not intended to be taken in a limiting sense, and the scope of the invention is limited only by the appended claims, together with all equivalents to what those claims assert, if properly described. Similar reference numbers in the drawings refer to identical or similar functions across various aspects.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the attached drawings in order to enable those skilled in the art to easily practice the present invention.

1 is a diagram showing the schematic configuration of a user-customized golf brand recommendation system according to an embodiment of the present invention.

Referring to FIG. 1, a system according to an embodiment may be configured to include a user terminal 100, a service server 200, and an external server 300.

The user terminal 100, the service server 200, and the external server 300 are connected to a communication network, for example, a mobile communication network, a local area network (LAN), a metropolitan area network (MAN), and a wide area network. You can communicate with each other through WAN (Wide Area Network), WWW (World Wide Web), and wireless communication network (WiFi: Wireless Fidelity).

The user terminal 100 has a calculation function and may be implemented in any form as long as it is a device capable of communicating with the outside. For example, it may be implemented in a smartphone, tablet PC, desktop, laptop, PDA, etc., but is not limited thereto.

The user terminal 100 may access the service server 200 and receive information on each golf brand and information on items sold by each golf brand. Additionally, the user can check information on a plurality of golf brand clothing items provided from the service server 200 through the user terminal 100 and transmit a purchase request for a specific item. In response to this request, the service server 200 may provide the user terminal 100 with an interface that allows input of payment and delivery information for the corresponding item.

The service server 200 may be configured to include a golf brand information receiving unit 210, a golf brand information analysis unit 220, a customized brand recommendation unit 230, and a purchase service providing unit 240.

The golf brand information receiver 210, the golf brand information analysis unit 220, the customized brand recommendation unit 230, and the purchase service provider 240 may be program modules or hardware capable of communicating with an external device. These program modules or hardware may be included in the service server 200 or other devices capable of communicating with it in the form of operating systems, application modules, and other program modules, and may be physically stored on various known storage devices. . Meanwhile, such program modules or hardware include, but are not limited to, routines, subroutines, programs, objects, components, data structures, etc. that perform specific tasks or execute specific abstract data types according to the present invention.

The golf brand information receiver 210 may receive information about each golf brand from the external server 300. Each of the plurality of external servers 300 may be a server operated by a golf brand company. Information about the golf brand may include unit price and sales information for each item belonging to each clothing category (e.g., hats, tops, bottoms, coats, socks, shoes, etc.). The sales information may include information about the buyer for each product, including gender, age group, and golf history information.

The golf brand information analysis unit 220 generates a characteristic vector for each golf brand. The feature vector may be an N-dimensional vector. According to one embodiment, clothing categories may be divided into M, and according to this, for each brand, an M dimension may be created with the average product sales price for each M category. Additionally, a second dimension can be additionally created as information on the average age of consumers for each brand and information on the average golf skills of consumers.

Accordingly, the characteristic vector for each brand can be M+2-dimensional, and additionally, one additional dimension can be added depending on the gender ratio (ex. ratio of women to men) of consumers for each brand.

For example, in the case of brand A, the average unit price of a hat is 50,000 won, the average unit price of tops is 150,000 won, the average unit price of bottoms is 87,000 won, the average unit price of shoes is 130,000 won, the male to female gender ratio of consumers is 0.75, the average age of consumers is 35 years old, and the average unit price of consumers is 35 years old. In the case of 3 years of golf history, the characteristic vector of brand A can be created as a 7-dimensional vector called (50000, 150000, 87000, 130000, 0.75, 35, 3).

Meanwhile, according to another embodiment, the characteristic vector for each brand is generated by excluding the average consumer experience information for each brand, and a weight proportional to the average consumer experience may be applied to the size of each dimension.

Reflecting this embodiment on the example of Brand A, the characteristic vector of Brand A can be generated as (50000α, 150000α, 87000α, 130000α, 0.75α, 35α), where α is the consumer average of Brand A It may be a weight proportional to the old history (3 years).

The customized brand recommendation unit 230 receives information about preferred brands from the user terminal 100 and additionally receives information about golf skills.

According to one embodiment, a preset number of brand information may be transmitted to the user terminal 100 as recommendation information in the order of having a feature vector of the closest distance to the feature vector of the preferred brand.

In addition, according to another embodiment, after first filtering a preset number of brands among all golf brands in the order in which the average golf skill of the consumer is similar to the golf skill of the user received from the user terminal 100, the user A preset number of brand information may be provided as recommendation information in the order of having the feature vector with the closest distance to the feature vector of the preferred brand. For example, if the user's service history is 2 years, N (ex. 3) brands may be first filtered in the order of brands with a consumer's average service history of 2 years.

The purchase service provider 240 provides the user terminal 100 with information on items for each category of the brand recommended by the customized brand recommendation unit 230, and receives a purchase request for a specific item from the user terminal 100. can receive. In this case, a payment module for payment of the purchase price for the corresponding item can be provided to the user terminal 100, and an interface that allows input of information related to the delivery of the item is provided.

According to one embodiment, it is possible to recommend other brands that have characteristics most similar to the user's preferred brand.

According to one embodiment, it may be possible to recommend a brand that has similar characteristics to the user's most preferred brand among brands frequently visited by consumers similar to the user's golf skills.

The description of the present invention described above is for illustrative purposes, and those skilled in the art will understand that the present invention can be easily modified into other specific forms without changing the technical idea or essential features of the present invention. will be. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive. For example, each component described as single may be implemented in a distributed manner, and similarly, components described as distributed may also be implemented in a combined form.

The scope of the present invention is indicated by the patent claims described below, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention.

100: user terminal
200: platform server
300: external server
210: Golf brand information receiver
220: Golf brand information analysis department
230: Customized brand recommendation section
240: Purchase service provision department

Claims (3)

a golf brand information receiving unit that receives information about each golf brand from a plurality of external servers;
a golf brand information analysis unit that generates an N-dimensional feature vector for each golf brand; and
After receiving information about preferred brands from the user terminal and performing primary filtering of a preset number of brands among each golf brand in the order in which the consumer's average history is similar to the history received from the user terminal. , a customized brand recommendation unit that provides a preset number of brand information as recommendation information to the user terminal in the order of having a feature vector of the closest distance to the feature vector of the preferred brand among the first filtered brands,
The N-dimensional characteristic vector for each golf brand is an M+2-dimensional vector containing information on the average product sales price for each M clothing category, the male-to-female gender ratio of consumers of the brand, and the average age of consumers of the brand,
A user-customized golf brand recommendation system in which a weight proportional to the average playing power of consumers of the brand is applied to the values of each dimension of the N-dimensional feature vector. According to paragraph 1,
A user-customized golf brand recommendation system, further comprising a purchase service provider that supports the purchase of a specific item by providing item information for each clothing category of the brand included in the recommendation information to the user terminal. delete