KR20020014332A - Merchandise recommendation method for electronic commerce system - Google Patents

Abstract

PURPOSE: A method for recommending commodities of an e-commerce system is provided to analyze a taste and a mental state of a current purchaser based on an on-line survey, a profile of the purchaser, biological rhythm, etc., so as to recommend a commodity appropriate for the purchaser on the basis of an analyzed result. CONSTITUTION: A purchaser inputs his/her profile(S101). A Web server provides services such as 'today's lot' or biological rhythm(S102). A use of a commodity to purchase is confirmed(S103). If the purchaser selects an item for purchaser himself/herself, a mental state or a taste of the purchaser are analyzed on the basis of answers for survey provided at his/her area of a survey DB(101)(S104). If the purchaser selects an item for gift, a gift use and a profile of a person to receive the gift are inputted, and survey provided at an area for others of the survey DB(101) are answered(S105-S107). The Web server analyzes a result of the answered survey to analyze a mental state or a taste of the person to receive the gift(S108). Some commodities appropriate for the analyzed result are selected among commodities registered in a commodity DB(102) and recommended(S109,S110).

Description

Product recommendation method of e-commerce system {MERCHANDISE RECOMMENDATION METHOD FOR ELECTRONIC COMMERCE SYSTEM}

The present invention relates to a technology for recommending a product suitable for a buyer's taste in an e-commerce system. Particularly, after analyzing a buyer's preferences and psychology through an indirect survey or the like online, a product suitable for a buyer based on the analysis result It relates to a product recommendation method of the electronic commerce system to recommend.

E-commerce means all commerce through the establishment of a shopping mall on a web site on a communication network, and in a broad sense, it refers to all economic activities such as advertisements, orders, purchases of goods and services, etc. In a narrow sense, it refers to economic activity in which consumers and businesses buy and sell goods and services on the Internet.

E-commerce is growing at a rapid pace because of the benefits that the Internet offers both sellers and consumers, and it is not too long to replace traditional forms of commerce.

However, in the conventional method of purchasing a product in an electronic commerce system, a buyer directly searches a desired product on an e-commerce website, selects a desired product from listed products, or receives a product recommendation from an existing purchase history. Was supposed to buy.

As described above, the method for purchasing a product in the electronic commerce according to the prior art requires a lot of time and effort since the product is directly selected from the target item to the final selected product.

Of course, if you are planning a list of products you want to buy in advance and know enough information about them, it will not be too difficult, but when you want to buy a gift or vaguely good products, you want to buy There were many difficulties to buy.

Therefore, an object of the present invention is to analyze the current buyer's preferences and psychology on the basis of indirect survey or online buyer's profile, biorhythms, etc. and then recommend the product suitable for the buyer based on the analysis result. The present invention provides a method for recommending products in the system.

1 is a signal flow diagram of a product recommendation method of the electronic commerce system according to the present invention.

2 is an exemplary table of buyer profiles.

Figure 3a is a survey example table for the buyer.

Figure 3b is a sample table for the present target questionnaire.

4 is a format diagram of a merchandise database.

5 is a signal flow diagram of another embodiment of a product recommendation method of the present invention;

6 is an exemplary view of a list of item types.

*** Description of the symbols for the main parts of the drawings ***

101: questionnaire database 102: product database

103: Database for item type list

A first feature of the present invention is to recommend a purchased product with reference to a buyer's profile.

A second feature of the present invention is to recommend a purchased product with reference to survey data on the buyer.

A third feature of the present invention is to recommend a purchased product with reference to today's fortune and biorhythm to the buyer.

A fourth feature of the present invention is to recommend a purchased product with reference to the profile of the gift recipient and the above information.

The product recommendation method of the electronic commerce system according to the present invention includes a first step of receiving a profile of a product buyer and confirming the use of the product to be purchased; A second step of analyzing the psychology or taste of the buyer on the basis of the result of the survey on the buyer provided in the questionnaire database if the product to be purchased is owned; A third step of analyzing the psychology or taste of the gift recipient based on the present use, the profile of the gift recipient, and the results of the survey of the buyer on the gift target provided by the survey database; A fourth step of selecting a suitable product from the commodity database and presenting it as a recommended product according to the analysis results of the psychology or taste of the buyer or the gifted person is described. Referring to FIGS. The description is as follows.

The buyer enters their profile after accessing the e-commerce website on the Internet through the PC, but if the profile is already entered or there is no change, there is no need to re-enter it (S101).

Figure 2 shows an example of the profile, as shown in the buyer's "date of birth", "annual income", "marriage", "blood type", "job", "family status", "gender", " Query items such as "Hobbies" and "Residence".

When the purchaser's profile is input as described above or connected in the already input state, the web server provides a service such as the "fortune of the day" or a biorhythm of the buyer (S102).

After that, the purpose of the purchased product is confirmed, and here, it is an example of presenting two items, one for one's own and one for a present.

When the buyer selects his item, the questionnaire provided by the user's area of the survey database (DB) 101 is surveyed, and the buyer's own psychology or taste is based on the response result of the questionnaire. The analysis is made. (S104)

Figure 3a shows an embodiment of a questionnaire for yourself, "Do you know any famous entertainers of the new generation?" "What kind of novelty would you like to eat?", "If there was an animal suddenly encountered during the hike, what would it be?" Etc. can be mentioned.

By the way, when the buyer selects a gift item, after confirming the purpose of the gift, the user receives the profile of the gift object, and surveys some questions provided by the other person's area of the questionnaire database 101. (S105-S107)

Figure 3b shows an embodiment of a questionnaire for gift subjects, "Does your subject know any famous entertainers of the new generation?" "If there are any novelty drugs, would you invite them to drink?", "Where do you meet with them frequently?" Etc. can be mentioned.

The web server analyzes the results of the survey as described above using a predetermined analysis program, and analyzes the psychology and taste of the purchaser or a gift target person (S108).

Thereafter, among the products registered in the product database (DB) 102, several products matching the analysis result are selected and recommended. (S109, S110)

Figure 4 shows an embodiment of the product database. In other words, audio CDs are classified into item titles and fields, and the fields include psychological codes, release dates, sales by age, and genres of music.

On the other hand, Figure 5 shows another embodiment of the present invention. This provides a list of the types of goods using the item type list database 103 for comparing with FIG. 1, allowing the buyer to select the type of items to be purchased, and input an expected purchase price. Is the difference.

6 shows an example of a list of the types of goods provided by the database, and examples thereof include CDs, books, jewelry, sports equipment, toys, and the like.

As described in detail above, the present invention analyzes the current buyer's preferences and psychology based on an indirect survey or a buyer's profile, biorhythm, etc., and recommends a product suitable for the buyer based on the analysis result. As a result, buyers can easily select products that meet their tastes or emotions without any worries, and sellers can choose more products with differentiated sales strategies at no additional cost. There is an effect that can be sold.

Claims (7)

A first step of analyzing the psychology or taste of the buyer based on the buyer profile and the results of the survey of the buyer; A second step of analyzing the psychology or taste of the gift subject based on the gift use, the profile of the gift subject, and the result of the survey of the buyer about the gift subject; And a third step of selecting a suitable product from the product database and presenting it as a recommended product according to the analysis result of the psychology or taste of the buyer or the gifted person. The method of claim 1, wherein the purchaser's profile includes items such as the date of birth of the buyer, annual income, marital status, blood type, occupation, family status, gender, hobby, address, and the like. . The method of claim 1, wherein the first step includes providing today's fortune or biorhythm information based on the buyer's profile. The product of the electronic commerce system of claim 1, further comprising: providing a list of types of goods by using a database and receiving input items and amounts to be purchased by using a database after inputting a buyer's profile. Recommended way. The method of claim 1, wherein the survey of the buyer or the gift recipient is performed using a survey database. The method of claim 5, wherein the survey of the buyer himself is, "Do you know any famous entertainers of the new generation?" "What kind of novelty would you like to eat?", "If there was an animal suddenly encountered during the hike, what would it be?" Product recommendation method of the e-commerce system, characterized in that it comprises the same. The questionnaire of claim 5, wherein the questionnaire content of the present subject is "what kind of famous entertainer of the new generation do you know?" "If there are any novelty drugs, would you invite them to drink?", "Where do you meet with them frequently?" Product recommendation method of the e-commerce system, characterized in that it comprises the same.