KR20100027775A - The method and system for analysis and saving the information about the shops and products in business town and searching the information on online system - Google Patents

The method and system for analysis and saving the information about the shops and products in business town and searching the information on online system Download PDF

Info

Publication number
KR20100027775A
KR20100027775A KR1020080086823A KR20080086823A KR20100027775A KR 20100027775 A KR20100027775 A KR 20100027775A KR 1020080086823 A KR1020080086823 A KR 1020080086823A KR 20080086823 A KR20080086823 A KR 20080086823A KR 20100027775 A KR20100027775 A KR 20100027775A
Authority
KR
South Korea
Prior art keywords
information
shops
shopping
search
stores
Prior art date
Application number
KR1020080086823A
Other languages
Korean (ko)
Inventor
이화섭
Original Assignee
이화섭
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 이화섭 filed Critical 이화섭
Priority to KR1020080086823A priority Critical patent/KR20100027775A/en
Publication of KR20100027775A publication Critical patent/KR20100027775A/en

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207Discounts or incentives, e.g. coupons or rebates
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0282Rating or review of business operators or products

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Development Economics (AREA)
  • Strategic Management (AREA)
  • Finance (AREA)
  • Theoretical Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

PURPOSE: A method and a system for analyzing and saving the information about the shops and products in a business town and searching the information through an online system are provided to facilitate information communication between a member shop and a client by providing an information search service which is unit for member shop. CONSTITUTION: The information about member shops and products is collected based on an information classification standard, and the introduction contents recorded for the member shop and products are analyzed as effective information. The analyzed information is stored in an information storage server, and users search the necessary requirements by accessing an online information providing homepage. The information is extracted from the information storage server according to the search of the users(S602), and the homepage shows the information to the users(S603). A recommended course information for the usage of the member shop is displayed according to the results and search of the user's search(S604).

Description

A method and system that categorizes and stores information about stores and merchandise on a shopping street basis and makes them searchable through an online system. {The method and system for analysis and saving the information about the shops and products in business town and searching the information on online system.}

The present invention relates to marketing by searching and categorizing and providing information of all stores or main products in units of shopping malls, and more specifically, to a method for searching shopping mall information of a consumer. In the case of searching at the time of the consumer's need, it provides the best information based on the information of all the stores in the shopping street, and not only compares a single product and the store, It is about providing a recommendation course proposal system that connects the merits of stores and products to enable additional consumption. The above field is a description of a section on marketing and consumption propensity, and online information and communication technology must be equipped to realize the invention. Planning and operation of online homepage and design management of database should be carried out, and a shopping mall information retrieval system capable of storing and retrieving information of goods or stores in a shopping mall unit should be provided.

In general, the frequency of getting the necessary information through consumers searching the online homepage using a computer and searching for information on stores and products is increasing rapidly, and companies or stores that sell products are required to be targeted for the information search. Many people try to show their customers information by placing ads on their homepages.

As an example, when a user accesses a homepage having an information search tool and searches for specific information, only a limited number of advertisements of an advertiser contracted with a homepage management company are shown.

As another example, in the case of a shopping mall homepage that sells products directly, when the product information is searched, the products related to the search word are listed and additionally searched by price or other conditions.

However, such a search and information providing function, there is a limit to provide exactly the information users want. The information searched on the information search homepage does not provide information for the entire store, but only displays information of a few companies that pay high costs, so consumers can only limit the scope of information search. Advertisers of information companies are not classified as a comparison of quality and service, but because the information is ranked according to the amount of advertising spending, there is a high possibility that the quality of the product may be impaired.

To address the basic needs of the general consumer: According to the needs of consumers, we want to provide information classification method and system that can provide necessary information. Consumers' plans often begin in vaguely. The meeting itself is so good that you want to find a place to meet.

▶ Where can I meet 10 high school classmates near Seohyeon Station?

▶ Where can you gather for more than 30 people near Seohyeon Station?

▶ I would like to have a nice date with my new girlfriend. Where near Seohyeon Station?

▶ Where can you have dinner for your gift near Seohyeon Station?

▶ Where can I have lunch with my baby and mom?

▶ Good place for family meals near Seohyeon Station?

▶ A good place to have a drink near Seohyeon station with colleagues after work?

▶ A good place to entertain customers with customers near Seohyeon Station?

▶ Where to shop, eat dinner and have a cup of tea near Seohyeon Station?

In most IR homepages, when consumers search for information, the search results do not provide information that is close to the user's convenience and the purpose of the search. The problem of failing to meet the needs of consumers, the information that users do not want to be forced to be exposed in a way that makes them feel uncomfortable, and each company and store have to pay for infinite competition in order to advertise search. I want to solve.

Consumers want to know if there is a shopping mall nearby or not. If you have, you want to know where you are, if you have any shops. Shops, on the other hand, only want to share the benefits they have. There are many desires for mutual information provision and acquisition. In the existing advertising market, only a limited amount of information of some advertisers is provided, and this is often provided in an undesired manner when the consumer does not want it.

Furthermore, the information comparison method of comparing products by additional comparisons such as price and free gifts rather than the features and advantages of the product has a problem of degrading the intrinsic quality of the products, and various products and stores focus on exclusive advertisements. We will try to solve the problem of inefficient advertisement that cannot develop complementary merits with stores.

The present invention is based on the classification of information by shopping mall unit with the convenience of the consumer as the top priority, and storing the information of the store and the product according to the data classification criteria according to the consumer consumption type of the present invention, when the consumer wants It is characterized by consisting of conducting a search according to the needs of the consumer, providing information according to the search needs of the consumer, and suggesting a recommendation course that has developed the linkage availability of the store and the product.

By using the shopping mall information retrieval service of the present invention, the problem of information disconnection between stores, businesses and consumers is solved. It increases convenience and satisfaction for consumers and helps marketing to shops and businesses. In addition to simple information retrieval, it provides information on recommendation course proposal system, coupons, mileage, events, etc., which can be used annually at stores within the shopping street, thereby improving customer satisfaction and sales.

In the case of a shopping mall competing with a department store or a large discount mart, it is possible to use the advantages of the shopping mall to differentiate the effect, and it is a shopping mall information retrieval system that allows the consumer to use the shopping mall more usefully than a department store or a large discount mart. . It is a system that provides hidden information at a glance near the shopping street.

In general, advertising is performed unilaterally from the perspective of an advertising company, and consumers are forced to be exposed to information when it is unnecessary, so that the advertising has a lot of antagonism and the effect is deteriorated. On the other hand, when consumers need information, it is often difficult to find the right information. The present invention relates to an information management method and system that can be an efficient advertising marketing system for a store and a useful information retrieval system for a consumer by eliminating the irrational elements between providing the information and obtaining necessary information.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

1 is a form of general advertising and consumption, based on the fact that the shops used by consumers S101 are not concentrated in some regions or shopping areas S102, and have unintentionally obtained information about individual shops S103. As consumption progresses, it is a complicated and inefficient form of structure using individual shops scattered in various places regardless of the distance (S104) and the region.

2 is a result obtained by retrieving the information of shops S203 entered in a shopping mall S102 in a nearby region by accessing the shopping mall information retrieval system S201 using a personal terminal (S202) (S603). Based on 604, it is a structural diagram of finding types of shops that are usually used in the shopping mall and using the shopping mall as a convenient course by connecting them with each other (S204).

3 provides a search result (S303) in the advertisement information (S301) of some companies, when consumers search on a general online information search site (S302), and additional advertisement parts (S304) in addition to the search result are viewed by the consumers. It is a structure diagram that confuses and reduces the concentration of information retrieval and reduces the information retrieval performance of computers.

4 is a collection or receiving the basic information of all the stores in the shopping mall unit collectively, the collected basic information by industry (S401), size (S402), atmosphere (S403), by facility (S404), services It is a structural diagram of the process of analyzing and reconstructing on the basis of the characteristics (S405) and storing in the shopping mall information retrieval system (S406).

5 is a process of analyzing the content to be a keyword of the information classification and search by analyzing the consumption type of consumers. The information is classified according to the needs of users by classifying the region (S501), the type of members (S502), the number of people (S503), the purpose of use (S504), and the like. Factors that consumers consider in determining store use include: region, group of members (position, region, acquaintance, relationship, personality), purpose of use (type), industry, size (number of seats, width), and price (average). , High-end, inexpensive), individual event support, stage equipment, atmosphere type, nearby facilities (parking), the composition of the surrounding shops, discounts, service features, gift vouchers, card use delivery, business hours.

FIG. 6 shows basic information S603 of shops in a shopping mall unit when a customer searches for information S601 of a shop, a product, or a service in the shopping mall information retrieval system S201 of the present invention (S202). On the basis of the information of the annually available course information (S604) of the recommended course shops are shown by grouping, and the results in the form desired by the consumer to provide information by printing, mobile text, guidance, etc. (S605) The structure of the process.

7, when consumers plan a consumption of a certain type by using the shopping mall S102, the consumer registers a plan form of consumption in step S701 and stores information S702 stored in the shopping mall information retrieval system in shops S703. After reading this, the shops propose the service provision plan, the price, the event, etc. to the consumer in reverse with respect to the consumption plan of the consumer, and the consumer selects the optimal store and completes the reservation.

Figure 1 is a form of the location of the general advertising and shops used by consumers.

2 is a configuration form of an advertisement and a consumer use shop using a shopping mall information search system.

3 is a structure of information search and results of a general online information search site.

4 is a structure diagram of shopping mall information collection, analysis, and storage of the shopping mall information retrieval system

5 is a structural diagram of analyzing a consumer's consumption type and selecting keywords.

6 is a structural diagram of information retrieval and results using a shopping mall information retrieval system;

7 is a structural diagram of a process in which a consumer raises a consumption plan and suggests a shopping street in reverse.

<Description of the symbols for the main parts of the drawings>

S101: Consumer

S102: Shopping Street

S103: Individual Shop

S104: Distance between the consumer and the store

S201: Store information search service

S202: A consumer accesses a store information search service

S204: Route where the consumer moves to the continuous course in the shopping street

S301: Information displayed as an advertisement

S302: Consumer Information Retrieval

S303: Search results based on general advertising information

S304: Ad extensions other than search results

S401 ~ 405: Analyze and analyze the shopping mall information

S406: Save sorted data

S501 ~ 504: Consumer Consumption Type Keywords

S601: Database of shopping mall information retrieval system

S603: Search result of shopping mall unit

S604: Recommended course list of shops in the shopping street

S605: Provide search results

S701: Consumer registers consumption plan information

S702: Analysis and posting of information in a shopping mall information search system

S704: Proposal of a service plan after the individual stores browse the consumption plan of the consumer

Claims (4)

Analyzing the conditions and composition of the consumption in the general consumption form of consumers, classifying the information of all stores and major goods in the shopping mall by the classification criteria set according to the analysis, storing the classified information, The classification criteria are applied to a shop information retrieval system, characterized in that the search method and criteria. The classification criteria for the stores in the shopping mall are as follows. [A] Shopping Centers Four categories of shops: restaurants, nightlife, retail stores and service stores. [B] Shopping Centers Shop Category 7 categories: (1) Purchase, Shopping (2) Games, Fun & Entertainment (3) Beauty, Beauty, Esthetics (4) Restaurant, Cafe, Dessert, Alcoholic Beverages (5) Pharmacies, Hospitals, Clinics (6) Academic / Academic (7) Company, Office, Real Estate [C] Shopping Center Shop Classification Details: Region, type of meeting members (position, region, acquaintance, relationship, personality), purpose of use (type), type of business, size (number of seats, width), price (average, senior, cheap) , Individual event support, Stage facilities, Atmosphere type, Nearby facilities (parking), Configuration of nearby stores, Discounts, Service features, Gift certificate, Credit card delivery, Opening hours [D] Shopping Street Area Classification Step: State> City> City / Town> Shopping Street> Store> Goods [E] Shopping Streets Store Information Search Steps: Location> Type of Use> Type of Industry> Number of People> When> Atmosphere> Price> Transportation (Parking)> Nearby Courses> Event Information> Other Collecting or receiving basic information, main product information, event information, etc. of all the stores in the shopping mall in units of shopping malls, storing the information in a server, and an online shopping mall information search system for searching the information stored in the server. You can compare the steps you offer, the steps you can see at a glance, the level of accuracy you can use to broaden your search results, the ability to search only for more accurate ones, and store-specific features. Steps to reconstruct the search results so that the recommended course recommendation step for recommending companies that offer affiliated shopping malls and affiliated discounts based on the search results, 2 or 3 courses about recommended course information Steps to choose from, characterized by providing a search result and recommended course proposal information System. The classification of shops for the recommended course proposal is described in [A. Classifying shops according to the four kinds of shop classification criteria, and generating a connection course while crossing or overlapping each other according to the four classifications of the classified shops. The two-course combination consists of the first and second shops, in which the shops within the shopping mall can be selected at the consumer's choice in the first, and the recommended shops suitable for annual use are selected in the second. Depending on the conditions of the branches, we can recommend different or identical stores. Recommended combinations:
Figure 112008062748818-PAT00001
In the above equation, N is the total number of shops in the store, and Si is the number of cases selected in the first order, and all shops in the shopping mall may correspond thereto. G1 ~ G4 are the same as [A. 4 types of shops] is the sum of the number of shops in each category. Lastly cutting 4 is to exclude the case of coming back to the shop in the total number of cases.
A step in which a consumer registers a consumption plan in a shopping mall information retrieval system in units of shopping malls, stores in a shopping mall view a consumption plan of a consumer, stores propose a service plan, a price, an event, etc. for the consumer's consumption plan; Wherein the consumer confirms the offer of the stores and selects the best store to complete the reservation.
KR1020080086823A 2008-09-03 2008-09-03 The method and system for analysis and saving the information about the shops and products in business town and searching the information on online system KR20100027775A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1020080086823A KR20100027775A (en) 2008-09-03 2008-09-03 The method and system for analysis and saving the information about the shops and products in business town and searching the information on online system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020080086823A KR20100027775A (en) 2008-09-03 2008-09-03 The method and system for analysis and saving the information about the shops and products in business town and searching the information on online system

Publications (1)

Publication Number Publication Date
KR20100027775A true KR20100027775A (en) 2010-03-11

Family

ID=42178701

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020080086823A KR20100027775A (en) 2008-09-03 2008-09-03 The method and system for analysis and saving the information about the shops and products in business town and searching the information on online system

Country Status (1)

Country Link
KR (1) KR20100027775A (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101021549B1 (en) * 2005-03-02 2011-03-16 구글 인코포레이티드 Generating structured information
KR20120045545A (en) * 2010-10-29 2012-05-09 에스케이플래닛 주식회사 Taxi reservation service system and method based on location
KR20120046567A (en) * 2010-11-02 2012-05-10 에스케이플래닛 주식회사 System and method for dealing cash withdrawing using of virtual account
WO2013066830A1 (en) * 2011-11-02 2013-05-10 Microsoft Corporation Automatic identification and representation of most relevant people in meetings
KR101661478B1 (en) * 2015-07-17 2016-10-04 주식회사 필룩스 System and method of share space rental
KR20210013926A (en) 2019-07-29 2021-02-08 (주)쉐어에코 Apparatus and method for trading unsold goods and collecting environmental improvement charges

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101021549B1 (en) * 2005-03-02 2011-03-16 구글 인코포레이티드 Generating structured information
KR20120045545A (en) * 2010-10-29 2012-05-09 에스케이플래닛 주식회사 Taxi reservation service system and method based on location
KR20120046567A (en) * 2010-11-02 2012-05-10 에스케이플래닛 주식회사 System and method for dealing cash withdrawing using of virtual account
WO2013066830A1 (en) * 2011-11-02 2013-05-10 Microsoft Corporation Automatic identification and representation of most relevant people in meetings
US8890926B2 (en) 2011-11-02 2014-11-18 Microsoft Corporation Automatic identification and representation of most relevant people in meetings
KR101661478B1 (en) * 2015-07-17 2016-10-04 주식회사 필룩스 System and method of share space rental
KR20210013926A (en) 2019-07-29 2021-02-08 (주)쉐어에코 Apparatus and method for trading unsold goods and collecting environmental improvement charges

Similar Documents

Publication Publication Date Title
Kim et al. Measuring customer-based restaurant brand equity
AU2005322271B2 (en) Generating and/or serving dynamic promotional offers such as coupons and advertisements
Oh Diners' perceptions of quality, value, and satisfaction: A practical viewpoint
Mazumdar et al. Reference price research: Review and propositions
Bowen et al. Hospitality marketing research: A content analysis and implications for future research
Clulow et al. How do consumers define retail centre convenience?
Quelch et al. All business is local: Why place matters more than ever in a global, virtual world
Vinod The future of online travel
Bahn et al. End-user contribution to logistics value co-creation: A series of exploratory studies
KR20100027775A (en) The method and system for analysis and saving the information about the shops and products in business town and searching the information on online system
Frederick et al. Review on customer perception towards online food delivery services
Ryu et al. A behaviour-based typology of travellers using an online travel marketplace
Parasakul Assessing Chinese tourists’ satisfaction with their shopping experiences in Bangkok Metropolis
KR20080058569A (en) Searching system for travel goods based on natural language processing and method thereof
Bhattacharya et al. Ma $$ iv--An Intelligent Mobile Grocery Assistant
Hjorthol Information searching and buying on the Internet: travel-related activities?
Freihat et al. Innovative Marketing and Its Impact on Customers' Value Creation in Orange Jordan Telecom
Seock et al. A cross‐cultural comparison of Hispanic American and white American adolescents’ use of reference agents for apparel shopping
Mathew Drivers of Customer Retention: An Introspection Into Indian Retail Customers
Humphreys et al. The spatial distribution of urban consumer service firms: Evidence from yelp reviews
Wu et al. Do Store and Brand Attachments Influence Customer Loyalty? Evidence From Migrant Workers in Taiwan
Zhao The Chinese consumer shopping behavior on taobao
Padhi A cross-sectional, multivariate, disaggregated study on impact of key drivers of customer satisfaction on brand perception and loyalty in selected hotel chains of India
Yanga et al. Market Segmentation of Website Services in Travel Agencies.
Foscht et al. Exploring the impact of customer satisfaction on food retailers' evolution: managerial lessons from Austria

Legal Events

Date Code Title Description
A201 Request for examination
E902 Notification of reason for refusal
E601 Decision to refuse application
E601 Decision to refuse application