KR20190106717A - System and method of providing user custom information, computer readable medium - Google Patents

Abstract

The user-customized information providing system according to an embodiment of the present invention provides a user's preferred business type and price based on a user action, which is a touch action on the company information of at least two or more companies and the company details displayed when the company information is touched. Collects log data for analysis, transmits the collected log data, and receives log data from the user terminal, and selects any one reflecting the user's preference among industry and price based on the received log data And a service providing server that satisfies the selected industry or price and at the same time transmits the company information of the company located within a predetermined radius centered on the location of the user terminal to the user terminal. The business information can be displayed.

Description

SYSTEM AND METHOD OF PROVIDING USER CUSTOM INFORMATION, COMPUTER READABLE MEDIUM}

The present application relates to a user-customizable information providing system, a method and a computer-readable recording medium.

With the development of internet and mobile services that can be connected to the network at any time, users get a lot of information, acquire knowledge and consume through numerous search services and portal services.

In this process, users get optimal information through complex or many steps, but sometimes they can't decide on the information that is poured out every day and the number of choices that are being made. Decision-making and choice-disorders may result in delays in relying on or not choosing information.

On the other hand, since the 1997 Amazon service, book recommendation services based on user's purchase history have appeared, and since then, many service providers have provided a lot of capital investment and information to provide customized information with the concept of recommendation service and big data and artificial intelligence. It's giving value.

The services that the recommendation system is most actively used are typically a music service that provides music, a movie information service, and a shopping mall. These systems have a problem of recommending information selected by users having similar inclinations centered on the user, and if there are few users having similar inclinations, there is a problem in that user satisfaction of information to be recommended is lowered.

In addition, although many items-based recommendation algorithms for recommending by analyzing the relationship between products and products are used, such item-based recommendation algorithms have a problem in that accurate recommendation information cannot be provided to the first user.

Korean Laid-Open Patent No. 2015-0050836 (published: May 11, 2015, “System and Method for Emphasizing Point of Interest (POI) through Analysis of Navigation User Behavior Patterns by Time)”

According to one embodiment of the present invention, a user can have a range of choices for users with decision-making disorders and selection disorders, and can be read out by a user-customized information providing system, method and computer that can contribute to sales of service companies by inducing offline visits. Provide possible recording media.

According to an embodiment of the present invention, a log for analyzing a business type and price preferred by a user based on a user action which is a touch action on the company information of at least two or more companies and the company details displayed when the company information is touched. A user terminal which collects data and transmits the collected log data; Receiving the log data from the user terminal, selecting any one of the industry type and price reflecting the user's preference based on the received log data, and satisfies the selected industry type or price and at the same time centering the location of the user terminal A service providing server for transmitting company information of a company located within a preset radius to the user terminal, wherein the user terminal displays user information of a company received from the service providing server. Provide a system.

According to another embodiment of the present invention, a user's preferred business type and price are analyzed in a user terminal based on a user action, which is a touch action on at least two or more companies' company information and the company's detailed information displayed when the company information is touched. Collecting log data for transmitting and transmitting the collected log data; A second step of receiving, at the service providing server, the log data from the user terminal and selecting one of the industry type and the price reflecting the user's preference based on the received log data; A third step of transmitting, by the service providing server, the company information of a company located within a preset radius centering on the location of the user terminal while satisfying a selected business type or price to the user terminal; And displaying, at the user terminal, company information of a company received from the service providing server. Wherein the second step includes a selection step of selecting any one of the industry type and the price reflecting the user's preference based on a normal distribution curve and a standard deviation of the received log data. Provides a user-customized information provision method through.

According to another embodiment of the present invention, a computer-readable recording medium having recorded thereon a program for executing the above-described user-customized information providing method is provided.

According to one embodiment of the present invention, based on the log data collected based on a user action that is a touch action of a screen, by recommending a type of course to eat, play, drink, and enjoy based on the industry or price preferred by the user To users with decision-making and choice-disorders that rely on, or postpone, their choices, such as searching for a lot of information and suspicious of the idea that there will be better information. This can reduce the range of choices and contribute to sales of service providers by inducing offline visits.

In addition, according to another embodiment of the present invention, by reflecting the user's propensity analyzed by industry type or price through a story-based questionnaire to the company recommendation, there is an advantage that can provide customized information to the first user.

In addition, according to another embodiment of the present invention, the course information accumulated by the users may provide a significant type of company information in the future business analysis through big data analysis. For example, although there are concentrations of places to drink in a particular area, course analysis may provide basic data to consult shops that open up shops with a high likelihood by providing statistics on where people who find drink places to visit together. Can be. In addition, by providing the company's course design information to the company boss as a statistic, it can contribute to attracting customers and improving sales, such as the composition of sales products, sales sales strategy, joint events with related industries.

1 is an overall configuration diagram of a user-customized information providing system according to an embodiment of the present invention.
2A is an internal block diagram of a user terminal according to an embodiment of the present invention.
2B is an internal block diagram of a service providing server according to an embodiment of the present invention.
3A illustrates log data for price analysis according to an embodiment of the present invention.
3b illustrates log data for analyzing an industry according to an embodiment of the present invention.
3C illustrates a basic score for each user action ID according to an embodiment of the present invention.
4A illustrates a normal distribution curve for price in accordance with one embodiment of the present invention,
4B illustrates a normal distribution curve for an industry in accordance with one embodiment of the present invention.
5A-5C illustrate exemplary application screens in accordance with one embodiment of the present invention.
6 is a flowchart illustrating a user-customized information providing method according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. However, embodiments of the present invention may be modified in various other forms, and the scope of the present invention is not limited to the embodiments described below. Shapes and sizes of the elements in the drawings may be exaggerated for more clear explanation, elements represented by the same reference numerals in the drawings are the same elements.

1 is an overall configuration diagram of a user-customized information providing system according to an embodiment of the present invention. 2A is an internal block diagram of a user terminal according to an embodiment of the present invention, and FIG. 2B is an internal block diagram of a service providing server according to an embodiment of the present invention. Meanwhile, FIG. 3A illustrates log data for price analysis according to an embodiment of the present invention, and FIG. 3B illustrates log data for industry analysis according to an embodiment of the present invention, and FIG. 3C illustrates this. A basic score for each user action ID according to an embodiment of the present invention is shown. 5A to 5C illustrate application screens displayed through the display module according to one embodiment of the present invention.

Hereinafter, a user-customized information providing system according to an exemplary embodiment of the present invention will be described in detail with reference to FIGS. 1 to 5C.

Throughout the description of the present invention, 'user action' refers to the act of touching the business information shown on the display screen, touch the business details view, share the business information, add to favorites, or view recommended blog details To touch, etc. (see FIG. 3C).

The 'business status' is a categorization of a group of similar industries, and may be, for example, a place to eat, a drink, a place to play, or a place to enjoy. 'Industry' may be categorized as a representative product or a representative service provided by a company.

For example, if the industry is a place to eat, the industry may be Korean, Tang / hot pot meat, seafood, snacks, Chinese, Japanese, Western, chicken, pizza, hamburgers.

For example, if the business is a place to drink, the industry may be such as izakaya, bar (BAR), hops, pocha, folk taverns, clubs, cafes, tea houses.

For example, if the business is a play area, the business may be a theme park, beach, sports leisure, screen baseball, screen golf, exotic cafe, kids cafe.

For example, if the industry is a place to enjoy, the industry may be healing / spas, parks / visits, nail art, massage shops, fitness, cartoon cafes, museums, traditional markets, and the like.

It should be noted that the specific examples of the type of industry or type of business described above are merely to aid the understanding of the present invention, and the present invention is not limited to these examples.

In addition, the 'business information' is a concept including at least one of a business name, a business type, a representative photo, a representative price, a distance to a business and a travel time based on the current location of the user (see FIG. 5A).

On the other hand, "business details" means at least one of sharing, favorites, photo detail view, directions, navigation, map view, opening hours, product view, post detail view, recommended blog detail view, amenities around the user, and reporting. The concept includes one, which may be detailed information displayed when the company information is clicked (see FIG. 5B).

As shown in FIG. 1, a user-customized information providing system 100 according to an embodiment of the present invention may include a user terminal (Mobile Terminal, MT) 110, a network (Network, NW), and a service providing server 120. And a database (DataBase, DB) 130.

Hereinafter, a user-customized information providing system 100 and an operation according to an embodiment of the present invention will be described in detail with reference to FIGS. 1 to 5C.

First, as shown in FIG. 1, the user terminal 110 is a terminal that can be connected to a network (NetWork, NW) 20, for example, a mobile phone, a smartphone, a personal digital assistant (PDA), or a personal computer (PC). ) May be a concept including various types of terminals such as a tablet personal computer, a notebook, and a notebook.

The user terminal 110 collects log data for analyzing a business type and price preferred by the user based on a user action, which is a touch action on the company information of at least two or more companies and the company details displayed when the company information is touched. The collected log data may be transmitted to the service providing server 120 through the network NW. In addition, when the company information of the company is received from the service providing server 120 through the network (NW), it may be displayed.

To this end, the user terminal 110 may include a display module 111, a log data collection module 112, a transmission / reception module 113, and a GPS reception module 114 as illustrated in FIG. 2A.

In detail, the display module 111 is a kind of touch panel and may detect a user action that is a user's touch and display the company information of the company from the service providing server 120. Company information displayed on the display module 111 is exemplarily illustrated in FIGS. 5A to 5C.

That is, as illustrated in FIG. 5A, the display module 111 may receive and display one company information from the service providing server 120 on a business status (eating place, drink place, play place, and enjoy place).

In addition, when one of the company information shown in FIG. 5A or the company information displayed through the search is touched by the user, the display module 111 may receive and display the detailed company information as shown in FIG. 5B. .

In addition, as shown in FIG. 5C, the display module 111 may further display the total cost and the estimated cost per person in consideration of the representative price of the company and the usage fee for each vehicle.

The log data collection module 112 may collect log data for analyzing a business type and price preferred by the user based on a user's touch-in action and transmit the collected log data to the service providing server 120. .

The log data described above may include log data for price analysis and log data for industry analysis.

For example, log data 310 for price analysis is shown in 310 of FIG. 3A, log data 300 for industry analysis is shown in 330 of FIG. 3B, and a basic score for each user action ID is shown in FIG. 3C. have.

First, as shown in FIG. 3A, log data for price analysis may include a time of occurrence of a touch action, a user action, a company ID for identifying a company, and a representative price.

As illustrated in FIG. 3B, log data for analyzing an industry may include an occurrence time of a touch action that is a user action, an action ID for distinguishing a user action, a company ID for identifying a company, and a basic distribution.

The log data (310 of FIG. 3A) and the log data (330 of FIG. 3B) for the above-described price analysis may be transmitted to the service providing server 120 and then stored in the database 130. The data can then be used to analyze whether the user's preference is price or industry.

On the other hand, the above-described basic scoring, as shown in Figure 3c, the action ID is 01, the default score is 10 points, if the user touches the detailed view of the business, the action ID is 01, the default score when touching Is 3 points, favorites are added, action ID is 03, default score is 20 points, and so on. The company detail view screen is exemplarily illustrated in FIG. 5B.

This basic scoring is to reflect how interested the user is in the company, the specific values may be changed by those skilled in the art, it should be noted that the present invention is not limited to these specific values.

The transmission / reception module 113 transmits the log data collected by the log data collection module 112 to the service providing server 120, receives the company information from the service providing server 120, and transmits the company information to the display module 111. Can be. In addition, the position information of the user terminal may be received from the GPS receiving module 114 and transmitted to the service providing server 120 through the network NW.

The GPS receiving module 114 may transmit location information of the user terminal 110 to the service providing server 120 through the transmitting and receiving module 113 and the network NW.

The service providing server 120 receives log data from the user terminal 110, selects one of the types of industry and price reflected by the user based on the received log data, and satisfies the selected industry or price. Based on the location of the user terminal 110, the company information of a company located within a predetermined radius may be transmitted to the user terminal 110. Here, the preset radius may be a value preset by the user.

To this end, the service providing server 120 may include a transmission / reception module 121 and a log data analysis module 122 as shown in FIG. 2B, and the log data analysis module 122 may include a first normalization module ( 122a), the second normalization module 122b, the selection module 122c, and the industry type ranking module 122d.

The transmission / reception module 121 may receive log data from the user terminal 110 and transmit the received log data to the log data analysis module 122, and satisfy the selected industry or price and at the same time the position of the user terminal 110. Receiving the company information of the company located within a predetermined radius with respect to the log data analysis module 122 can be transmitted to the user terminal 110.

The log data analysis module 122 selects any one reflecting the user's preference among industry and price based on the normal distribution curve and the standard deviation of the log data received from the transmission / reception module 121, and satisfies the selected industry or price. At the same time, it is possible to search for company information of a company located within a predetermined radius centering on the location of the user terminal 110 and transmit it to the user terminal 110. Company information of a company located within a predetermined radius may use an open API (Application Programming Interface) provided by a portal company.

To this end, the first normalization module 122a of the log data analysis module 122 obtains the accumulated number of touches for each user price (UID 1 to UID N) from the log data for price analysis of the log data, and the price therefrom. The normal distribution curve for can be obtained. The normal distribution curve for the price may be transferred to the selection module 122c.

Specifically, as shown in FIG. 3A, the first normalization module 122a of the log data analysis module 122 may be configured for each user based on the log data 310 for price analysis received from the user terminal 110. The UID 1 to UID N) may generate a log data table 320 for a price analysis that accumulates the number of user touches for each price section, and ranks the user's preferred price range based on the log data table 320. Can be priced. Thereafter, a normal distribution curve for prices may be obtained for each user (UID 1 to UID N) based on the log data table 320 for price analysis. The normal distribution curve for the price may be transferred to the selection module 122c.

The normal distribution curve for price analysis for the user UID 2 is, for example, as shown in FIG. 4A.

As shown in FIG. 4A, it can be seen that a normal distribution curve for price analysis may have a standard deviation δ around a user's preferred average price m1.

Also, the second normalization module 122b of the log data analysis module 122 sums the basic points of the user action IDs for each of the touched detailed items among the company details from the log data for the industry analysis of the log data. A normal distribution curve for an industry can be obtained from the industry score of each industry by multiplying the base score by the weight. The normal distribution curve for the industry may be transferred to the selection module 122c.

In addition, the weight may include at least one of a time weight based on the time spent in the details of the company, an origin weight based on whether the user entered through a specific menu, a weight based on the touch of the business details, and an interest weight based on whether the pin has been pinned. It may include one. Here, the pinning may be displayed as an icon as shown at 514 of FIG. 5, which is a kind of favorite and is fixedly displayed for the same status despite the user's re-recommendation button 513. In addition, the specific menu refers to whether or not the user enters by clicking the displayed company information when clicking a menu such as 511 of FIG. 5A.

Specifically, as shown in FIG. 3B, the basic points of the user action IDs for each of the touched detailed items among the company details are summed from the log data 330 for the industry analysis received from the user terminal 110. A log data table 340 may be generated for an industry analysis from an industry score of each industry by multiplying a weight by one base score, and based on the generated log data table 340, the user may prefer a type of business (eating place, where to eat). Drink, play, and enjoy).

For example, referring to the log data table 340, as a result of scoring an industry score for the user 2 (UID 2), as indicated by the reference numeral 350, 222 points of noodles are eaten in the restaurant, Sector 1 has 343 points, N is 214 points in play area, and 456 points in place of enjoyment. Industry type points can be arranged in order of high industry type.

Thereafter, a normal distribution curve for the industry may be obtained for each user (UID 1 to UID N) based on the log data table 340 for analyzing the industry. The normal distribution curve for the industry may be transferred to the selection module 122c.

The normal distribution curve for price analysis for the user UID 2 is as shown in FIG. 4B, for example.

As shown in Figure 4b, it can be seen that the normal distribution curve for the sector analysis may have a standard deviation (δ) around the average price (average sector score) m2 of the user's preferred sector.

Next, the selection module 122c of the log data analysis module 122 is based on the area between the standard deviation of the normal distribution curve for the price and the area between the standard deviation of the normal distribution curve for the industry. Can be selected as the user's preferred sector.

For example, the selection module 122c of the log data analysis module 122 prefers the price if the area between the standard deviation of the normal distribution curve for the price is larger than the area between the standard deviation of the normal distribution curve for the industry. If the area between the standard deviations of the normal distribution curves for the industry is greater than the area between the standard deviations of the normal distribution curves for the price, the user can select the industry as the user's preference.

For example, referring to FIGS. 4A and 4B, the selection module 122c of the log data analysis module 122 has a normal distribution curve for an industry in which the area A between the standard deviations δ of the normal distribution curve for price is the same. If the area B between the standard deviations of δ is greater than, then the price can be selected as the user's preference. Conversely, if the area (B) between the standard deviation (δ) of the normal distribution curve for the industry is greater than the area (A) between the standard deviation (δ) of the normal distribution curve for the price, you can select the industry as the user's preference. have. In this case, since the units of the normal distribution curve for the price and the industry are different, the sizes of FIGS. 4A and 4B are normalized to the same size, for example.

If the business type ranking module 122d of the log data analysis module 122 reflects the user's preference, the basic scoring of the user action ID for each of the detailed items touched among the company details from the log data for the industry analysis is performed. The industry score is determined by industry type based on the industry score of each industry multiplied by the weighted multiplied by the base score, and the user information of one company that satisfies one randomly extracted business type among the industries within the predetermined ranking by industry type is used. If the price is transmitted to the terminal 110 and the user's preference is reflected, price is determined based on the number of touches accumulated for each price range from the log data for price analysis, and among the industries within the ranking determined by the type of business. Company information of a company that satisfies one of the industries extracted at random may be transmitted to the user terminal 110 ( (See 512 in FIG. 5A).

On the other hand, according to an embodiment of the present invention, the user terminal 110 receives a preference questionnaire result of the story type for the type of industry and price from the user, and the input result of the industry ranking module of the service providing server 120 ( 122d), and in this case, the industry ranking module 122d of the service providing server 120 may readjust the industry ranking for each industry according to the preference survey result. The preference questionnaire in story format can be moved, for example, by touching a menu labeled 514 (Nolvadosa) shown in FIG. 5A, displaying various situations and four multiple-choice questions about it, and the user's input result thereon. May be transmitted to the service providing server 120.

Subsequently, if the user's preference according to the preference survey result is the industry type, the industry ranking module 122d of the service providing server 120 further multiplies the industry type score by a special weight to recalculate the industry type score by the industry type, Determining the industry ranking by industry type based on the industry score, and transmits the company information of a company that satisfies one of the sectors randomly extracted among the industry within the ranking determined by industry type to the user terminal 110, the preference questionnaire results If the user's preference is price, the accumulated number of touches by price range is further multiplied by a special weight to reinvent the sector score for each industry, determine the industry ranking by industry based on the determined industry score, and rank determined by industry. Transmitting the business information of a company that satisfies one of the industry types randomly extracted within the industry to the user terminal 110 Can. According to an embodiment, the above-described preference may be used to initially determine user preference, and in this case, the industry type ranking by industry may be determined only by the above-described story questionnaire.

In addition, the industry ranking module 122d of the service providing server 120 determines that the user's preferred industry according to the preference survey result does not exist in the predetermined industry ranking, and the user's preferred industry according to the preference survey result. After assigning the scores, re-define the industry scores by industry type, re-determine the industry rankings by industry type based on the re-calculated industry scores, and satisfy the one of the industries randomly selected among the industries within the predetermined rank by industry type. Information may be transmitted to the user terminal 110.

In addition, according to another embodiment of the present invention, the user terminal 110 may transmit a re-recommendation request (refer to reference numeral 513 of FIG. 5A) to the service provision server 120 and receive the re-recommendation request. The industry ranking module 122d of 120 may retransmit the company information of a company that satisfies one of the industries that is randomly extracted among the industries within the ranking determined by industry to reflect the user's preference to the user terminal 110. It may be.

In addition, according to another embodiment of the present invention, the user terminal 110 may further transmit the number of people to the industry type ranking module 122d of the service providing server 120, in which case the service providing server 120 received the number of people. The industry ranking module 122d may further transmit the total cost and the estimated cost per person to the user terminal 110 in consideration of the representative price of the company and the usage fee for each vehicle (see FIG. 5C).

The database 130 may store log data (310 of FIG. 3A) for price analysis and log data (330 of FIG. 3B) for business type analysis transmitted from the user terminal 110.

As described above, according to one embodiment of the present invention, a type of eating, playing, drinking, and enjoying based on a business type or price preferred by a user based on log data collected based on a user action that is a touch action of a screen By recommending courses, you can't decide on the amount of information pouring out every day and the number of choices you can make, but you can't rely on or delay the choice of retrieving a lot of information and suspecting that there will be better information. This can reduce the choices for users with disabilities, and has the advantage of contributing to the revenue of service providers by inducing offline visits.

In addition, according to another embodiment of the present invention, by reflecting the user's propensity analyzed by industry type or price through a story-based questionnaire to the company recommendation, there is an advantage that can provide customized information to the first user.

In addition, according to another embodiment of the present invention, the course information accumulated by the users may provide a significant type of company information in the future business analysis through big data analysis. For example, although there are concentrations of places to drink in a particular area, course analysis may provide basic data to consult shops that open up shops with a high likelihood by providing statistics on where people who find drink places to visit together. Can be. In addition, by providing the company's course design information to the company boss as a statistic, it can contribute to attracting customers and improving sales, such as the composition of sales products, sales sales strategy, joint events with related industries.

6 is a flowchart illustrating a user-customized information providing method according to an embodiment of the present invention.

Hereinafter, a method of providing customized information according to an embodiment of the present invention will be described with reference to FIGS. 1 to 6. However, for the sake of brevity of the invention, descriptions of parts overlapped with those described in FIGS. 1 to 5C will be omitted.

1 to 6, a user-customized information providing method according to an embodiment of the present invention,

The user terminal 110 collects log data for analyzing a business type and price preferred by the user based on a user action, which is a touch action on the company information of at least two or more companies and the company details displayed when the company information is touched. In addition, the collected log data may be started by transmitting the collected log data to the service providing server 120 through the network NW (S610).

Thereafter, the service providing server 120 may receive log data from the user terminal 110 and select one in which the user's preference is reflected among the industry type and the price based on the received log data (S620).

In particular, the service providing server 120 may select any one reflecting a user's preference among an industry type and a price based on a normal distribution curve and a standard deviation of log data.

Specifically, the service providing server 120 selects the price as the user's preference if the area between the standard deviations of the normal distribution curves for the price is larger than the area between the standard deviations of the normal distribution curves for the industry. If the area between the standard deviations of the normal distribution curves is greater than the area between the standard deviations of the normal distribution curves for prices, the industry can be selected as the user's preference.

For example, referring to FIGS. 4A and 4B, the selection module 122c of the log data analysis module 122 has a normal distribution curve for an industry in which the area A between the standard deviations δ of the normal distribution curve for price is the same. If the area B between the standard deviations of δ is greater than, then the price can be selected as the user's preference. Conversely, if the area (B) between the standard deviation (δ) of the normal distribution curve for the industry is greater than the area (A) between the standard deviation (δ) of the normal distribution curve for the price, you can select the industry as the user's preference. have. In this case, since the units of the normal distribution curve for the price and the industry are different, the sizes of FIGS. 4A and 4B are normalized to the same size, for example.

Thereafter, the service providing server 120 may transmit the company information of the company located within a predetermined radius centering on the location of the user terminal 110 while satisfying the selected business type or price to the user terminal 110 (S). ). Here, the preset radius may be a value preset by the user.

Finally, the user terminal 110 may display the company information of the company received from the service providing server 120 (S640).

As described above, according to one embodiment of the present invention, a type of eating, playing, drinking, and enjoying based on a business type or price preferred by a user based on log data collected based on a user action that is a touch action of a screen By recommending courses, you can't decide on the amount of information pouring out every day and the number of choices you can make, but you can't rely on or delay the choice of retrieving a lot of information and suspecting that there will be better information. This can reduce the choices for users with disabilities, and has the advantage of contributing to the revenue of service providers by inducing offline visits.

In addition, according to another embodiment of the present invention, by reflecting the user's propensity analyzed by industry type or price through a story-based questionnaire to the company recommendation, there is an advantage that can provide customized information to the first user.

In addition, according to another embodiment of the present invention, the course information accumulated by the users may provide a significant type of company information in the future business analysis through big data analysis. For example, although there are concentrations of places to drink in a particular area, course analysis may provide basic data to consult shops that open up shops with a high likelihood by providing statistics on where people who find drink places to visit together. Can be. In addition, by providing the company's course design information to the company boss as a statistic, it can contribute to attracting customers and improving sales, such as the composition of sales products, sales sales strategy, joint events with related industries.

The user-customized information providing method according to an embodiment of the present invention described above may be produced as a program for execution on a computer and stored in a computer-readable recording medium. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like. The computer readable recording medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion. And functional programs, codes and code segments for implementing the method can be easily inferred by programmers in the art to which the present invention belongs.

In addition, in describing the present invention, the above-described "~~ module" may be used in various ways, for example, a processor, program instructions executed by a processor, software module, microcode, computer program product, logic circuit, and application-specific integrated circuit. , Firmware, or the like.

The present invention is not limited by the above-described embodiment and the accompanying drawings. It is intended to limit the scope of the claims by the appended claims, and that various forms of substitution, modification and change can be made without departing from the spirit of the present invention as set forth in the claims to those skilled in the art. Will be self explanatory.

100: customized information providing system
110: user terminal
111: display module
112: log data collection module
113: transmit / receive module
114: GPS receiving module
120: service providing server
121: transceiver module
122: log data analysis module
122a: first normalization module
122b: second normalization module
122c: selection module
122d: Industry Ranking Module
130: database
310: Log data for price analysis
320: Log data table for price analysis
330: Log data for industry analysis
340: Log data table for string analysis

Claims (16)

Collect log data for analyzing a business type and price preferred by the user based on a user action of at least two or more businesses and a user action that is a touch action on the company details displayed when the company information is touched, and the collected log data User terminal for transmitting the; And
Receiving the log data from the user terminal, selecting any one of the industry type and price reflecting the user's preference based on the received log data, and satisfies the selected industry type or price and at the same time centering the location of the user terminal A service providing server for transmitting company information of a company located within a preset radius to the user terminal;
To include, the user terminal,
And displaying the company information of the company received from the service providing server.
The method of claim 1,
The service providing server,
And a log data analysis module for selecting any one of the industry type and the price reflecting the user's preference based on the received normal distribution curve and standard deviation of the log data.
The method of claim 2,
The log data analysis module,
A first normalization module for obtaining a cumulative number of touches for each price range from the log data for price analysis among the log data, and obtaining a normal distribution curve for the price therefrom;
The normal distribution curve for the industry from the industry score by each industry type multiplied by the weighted base score of the user's action ID for each of the touched detailed items of the company details from the log data for analysis of the industry in the log data A second normalization module obtaining a;
And a selection module for selecting any one of the industry and the price based on the area between the standard deviation of the normal distribution curve for the price and the area between the standard deviation of the normal distribution curve for the industry. Customized information provision system through
The method of claim 3,
The selection module,
If the area between the standard deviations of the normal distribution curves for the price is greater than the area between the standard deviations of the normal distribution curves for the industry, select the price,
And select an industry if the area between standard deviations of the normal distribution curves for the industry is greater than the area between standard deviations of the normal distribution curves for the price.
The method of claim 3,
The weight is,
At least one of a time weight based on a residence time staying in the company detail information, an origin weight based on whether a specific menu has been introduced, a weight based on a touch of the business detail information, and an interest weight based on whether the company information is pinned Including, a user-customized information providing system.
The method of claim 1,
The service providing server,
If the user's preference is reflected in the industry, from the log data for the industry analysis to the industry score for each industry by multiplying the basic score of the user's action ID for each of the touched details in the company details multiplied by the weight Determining the industry type ranking by industry based on the type of business, and transmitting the company information of a company that satisfies one of the industries randomly extracted among the industry within the rank determined by industry type to the user terminal,
If the user's preference is reflected in the price, from the log data for price analysis to determine the industry type ranking by industry based on the accumulated number of touches for each price range, one of the industries within the ranking determined by each industry randomly And a business type ranking module for transmitting business information of a company satisfying a business type to the user terminal.
The method of claim 6,
The user terminal receives a result of a preference questionnaire in the form of story about the type of industry and price from the user, and transmits the input result to the service providing terminal,
The industry type ranking module, re-adjust the industry type by industry type according to the preference questionnaire, user-customized information providing system.
The method of claim 7, wherein
The industry ranking module,
If the user's preference according to the result of the preference questionnaire, the industry type by multiplying the industry-specific scores by a special weight additionally to re-define the industry type score by industry type, determine the industry type ranking by industry type based on the property type score, Sending the company information of a company that satisfies one of the industry sectors randomly extracted among the industries within the predetermined ranking to the user terminal,
If the user's preference according to the result of the preference questionnaire results in price, recalculate the industry type score by industry by additionally multiplying the accumulated number of touches by price range by a special weight, and determine the industry rank by industry type based on the recalculated industry score. , The user-customized information providing system for transmitting the company information of the company that satisfies one of the industry sectors randomly extracted from the industry within the predetermined ranking by industry to the user terminal.
The method of claim 8,
The industry ranking module,
If the user's preferred sector according to the preference survey result does not exist in the predetermined industry ranking, the basic sector score is assigned to the user's preferred sector according to the preference survey result, and the sector score for each sector is recalculated and recalculated. Re-determining the industry rankings by industry type based on the industry score, and user information providing system for transmitting the company information of a company that meets one of the sectors randomly extracted among the industry within the predetermined rank by industry type to the user terminal .
The method of claim 8,
The user terminal sends a re-recommendation request to the service providing terminal,
The industry type ranking module of the service providing terminal that receives the re-recommendation request,
Reflecting the user's preferences retransmits the company information of a company that satisfies one of the sectors randomly extracted among the sectors within the predetermined ranking by industry, to the user terminal, the user customized information providing system.
The method of claim 8,
The user terminal,
Further send the number of people to the service providing server,
The industry type ranking module of the service providing server that has received the number of people,
A user-customized information providing system for transmitting the total cost, the estimated cost per person to the user terminal in consideration of the representative price of the company and the usage fee for each vehicle.
The method of claim 6,
The industry is a category of representative products or representative services provided by the company,
The business status is a category of a similar business category, user-customized information providing system.
The method of claim 1,
The log data,
Log data for price analysis including touch time of the company information, company ID of touched company information, and representative price of touched company information,
Among the detailed items of the company, the log data for industry analysis including the touch point of the detailed item touched by the user, the user action ID which is an identifier of the touched detailed item, the company ID, and the basic distribution of the user action ID are included. , Customized information providing system.
The method of claim 1,
The listing above,
At least one of a business name, a business category, a representative photo, a representative price, a distance to a business and a travel time around the user's current location,
The company details above,
Personalized information, including at least one of sharing, favorites, photo detail view, directions, navigation, map view, opening hours, product view, post detail view, featured blog detail view, amenities around the user, and reporting Provide system.
In the user terminal, log data for analyzing a business type and price preferred by the user is collected and collected based on a user action, which is a touch action on the company information of at least two or more companies and the company details displayed when the company information is touched. Transmitting the collected log data;
A second step of receiving, at the service providing server, the log data from the user terminal and selecting one of the industry type and the price reflecting the user's preference based on the received log data;
A third step of transmitting, by the service providing server, the company information of a company located within a preset radius centering on the location of the user terminal while satisfying a selected business type or price to the user terminal; And
A fourth step of displaying, at the user terminal, company information of a company received from the service providing server;
To include, the second step,
And selecting any one of the industry type and the price reflecting the user's preference based on the received normal distribution curve and standard deviation of the log data.
A computer-readable recording medium having recorded thereon a program for executing the method of claim 15.

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