KR102117917B1 - Wine data relationship management system - Google Patents

Abstract

A system of providing wine information according to the present invention comprises: a data collection unit for collecting and receiving wine-related data from external devices including at least one among a search engine server, an SNS server, a user terminal, an external wine rating database, and an offline shop terminal; a rating correction unit for performing objectification transformation on the rating for a specific wine inputted from a user terminal of a specific user through an objectification vector calculated by using data transferred from the external devices; and an information providing unit for providing rating data objectified and transformed by the rating correction unit to the external devices. The present invention has the effects of providing information related to various wines to customers, sellers, salespersons, and the like, and selecting or explaining wine more efficiently by objectifying, specifically, information related to the rating of wine from the information provided.

Description

Wine information provision system {Wine data　relationship management system}

The present invention relates to a wine information providing system, specifically, to an information providing system that provides wine-related information to general consumers and managers of offline stores.

The recommendation system automatically provides information or products preferred by the user offline, such as department stores and marts, and online, such as portals and internet shopping. For example, the recommendation system generates a user profile by analyzing a rating or preference of a product or information in the user's history, and compares it with other users, and compares the information with other users. I recommend the product.

In general, a recommendation system uses a content-based recommendation system that a user performs a recommendation using information that has already been purchased, serviced, or product, and a history of information or product purchased or serviced by the user. And a collaborative filtering recommendation system.

The recommendation system needs to analyze user preferences and needs to improve the accuracy of recommendations and user satisfaction.

The present invention provides a wine information providing system capable of providing objective rating information by adjusting various criteria according to users in this process while providing various wine information to customers, sellers, and sales personnel.

The wine information providing system according to the present invention comprises a data collection unit for collecting and receiving wine-related data from external devices including at least one of a search engine server, an SNS server, a user terminal, an external wine rating database, and an offline store terminal; A rating correction unit that performs objectification conversion through an objectification vector calculated by using data transmitted from the external devices for a rating for a specific wine input from a user terminal of a specific user; And an information providing unit that provides rating data that is objectified and converted by the image rating correction unit to the external devices.

In addition, the rating correction unit calculates a reference value and a scale from donation ratings of a corresponding user collected from the external devices, calculates an objectification vector value of the reference value and the scale for a preset objectification reference value and an objectification scale, and an objectification vector The rating input from the user may be objectively converted using the value.

In addition, the reference value may be calculated as an average value of ratings of a specific user, and the scale may be calculated as a standard deviation value of ratings of the specific user.

In addition, it may further include a similar group determining unit for selecting a similar group for wine purchase by calculating at least one distribution of price rating, level class, production center, variety, and tasting note data corresponding to the targeted wine rating of the specific user. have.

In addition, it may include a preference prediction unit for calculating the expected rating of a particular wine for a particular user.

In addition, the preference predicting unit may calculate the objectification rating of the specific wine from the objectification ratings of users corresponding to the similar group of a specific user, and calculate the expected personalization rating by applying the inverse vector of the objectification vector to the calculated objectification rating. have.

It may also include a wine information database in which the identification information of the wine, data collected from the search engine server and the SNS server for the wine, and data collected from the website of the producer of the wine are stored.

In addition, the information providing unit converts identification information of wine stored in the wine information database, data collected from a search engine server and an SNS server, and data collected from the winemaker's website into a file of PDF type. Can provide.

The present invention can provide a variety of wine-related information to customers, sellers, and sales personnel, and has the effect of more efficiently selecting or explaining wine by objectively rating information related to wine among the provided information.

1 is a schematic block diagram illustrating a relationship between a wine information providing system and a peripheral system according to an embodiment of the present invention.
2 is a block diagram showing a wine information system according to an embodiment.
3 and 4 are diagrams illustrating an example of data handled by an offline store server according to an embodiment.
5 to 8 are schematic diagrams showing an example of data or files provided to a user or salesperson according to an embodiment.
9 and 10 are schematic diagrams showing an interface for managing wines and stores in a manager terminal according to an embodiment.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In the absence of specific definitions or references, terms indicating directions used in this description are based on conditions indicated in the drawings. In addition, the same reference numerals refer to the same members throughout each embodiment. On the other hand, each configuration displayed on the drawing may exaggerate its thickness or dimensions for convenience of description, and does not mean that it should actually be configured at a ratio between the corresponding dimensions or configurations.

A wine information providing system according to an embodiment will be described with reference to FIGS. 1 to 11. 1 is a schematic block diagram for explaining a relationship between a wine information providing system and a peripheral system according to an embodiment of the present invention, and FIG. 2 is a block diagram showing a wine information system according to an embodiment. 3 and 4 are diagrams showing an example of data handled by an offline store server according to an embodiment, and FIGS. 5 to 8 are data or files provided to a user or salesperson according to an embodiment 9 and 10 are schematic diagrams showing an interface for managing wines and stores in a manager terminal according to an embodiment.

The user terminal 300 is a terminal mainly used by a wine consumer or a wine salesperson, and is a terminal that searches information related to wine and inputs tasting notes or ratings after drinking wine. That is, the wine consumer uses the user terminal 300 to input tasting notes such as body sensation, tannin, sugar content, acidity, or tasting characteristics of these wines, and then receives a comprehensive rating. In addition, the user terminal 300 is provided with various wine information from the wine information providing system 100 so that wine consumers or salespeople can select wines of a desired characteristic, level and price, or provide information to others. do.

The manager terminal 350 is a terminal used by the manager of the wine information providing system 100 and is a terminal that inputs data necessary for the management, control, and various settings of the wine information providing system 100. For example, as shown in FIG. 4, various data related to a specific offline store for providing to other systems may be input through the user interface of FIGS. 10 and 11. That is, as shown in FIG. 10, it is possible to set or change the wine category and code provided by various offline stores, etc., and input and modify information regarding various offline store locations, contact information, and representatives as shown in FIG. You can.

In addition, as illustrated in FIG. 5, information on wines handled in a specific store may be arranged according to various criteria such as category and country, and provided to a user or a salesperson.

The offline store terminal 400 is provided in a wine store located in a store in a specific area or a specific department store, and receives various wine related information to guide the wine consumer from the wine information providing system 100, and the user terminal 300 ) Provides information related to various stores. That is, as shown in FIG. 4, data related to a store may be provided, or as shown in FIG. 5, a kind of wine handled by the store and rough guide information on the corresponding wine may be provided.

At this time, as information about a specific wine, as shown in FIG. 6, information about a specific wine, information that is automatically collected and interlocked from various systems, and the like for the corresponding wine may be provided, and together with this, the corresponding wine is produced Information on the winery can be provided together with the webpage collected from the website or the manufacturer's website. Also, as illustrated in FIG. 7, information on selected wines based on a specific issue may be provided.

In addition, it is possible to provide various data provided from the wine information providing system 100 as shown in FIG. 8 together with information on a specific wine, and the manager terminal 350 can provide such information to a salesperson or a person in charge of an offline store. Upon request, it can be provided in a format that can be easily output, such as e-book format or PDF file.

The search engine server 500 and the SNS server 550 search for wine-related postings registered on a website, etc., and provide them to the wine information providing system 100 or vice versa from the wine information providing system 100 for various user searches. Provide data. The search engine server 500 and the SNS server 550 are interlocked with the wine information providing system 100 and search optimization (SEO), so that all wine information is real-time through the search engine server 500 and the SNS server 500. To be searched for.

The external wine rating database 600 refers to a wine rating database provided in other wine information providing systems and the like other than the wine information providing system 100 according to an embodiment of the present invention. Recently, various platforms provide wine-related information, and in the case of these wine information providing services, wine ratings are generally input and databased. The wine information providing system 100 according to the present embodiment may be provided with data related to ratings in connection with these external wine score databases.

Users and eternity employees, etc. can be provided with wine-related information through the search engine server 300, the SNS server 350 and the wine information providing system 100. For example, as shown in FIG. 5, wine information, auto-discovered news information related to the wine, and information related to an overseas homepage for a winery producing wine may be provided.

In addition, as shown in FIG. 6, the user and the salesperson may be provided with information on preferred wines for a specific period, such as best wine, and may be provided with basic wine characteristic information as shown in FIG. . Salespersons, etc. can receive and output the converted information such as the characteristics of wine, such as electronic documents, or use it for sales activities through a user terminal.

The wine information providing system 100 according to an embodiment of the present invention includes a data collection unit 110, an information providing unit 120, a rating correction unit 130, a similar group determination unit 140, and a wine recommendation unit 150 ).

The data collection unit 110 inputs a rating from a user or receives rating data of a user stored in another system. Specifically, the data collection unit 110 receives a rating for a specific wine input by the user through the user terminal 300 or the like. In addition, the data collection unit 110 may receive or query rating data for specific wines of a user that is already input or stored from the external wine rating database 600, the search engine server 500, and the SNS server 550. do.

The collected data may include tasting note data, data on wine collected from the wine information database 160, various store-related data collected from the offline store database 170, and handling wine data.

Unlike the existing rating system, the rating correction unit 130 calculates objectified correction score information. In the case of the existing wine rating system, the average value is simply calculated by simply adding up the ratings of users who have given the rating. However, in the case of such a rating system, it simply calculates the average by adding the stars of the rating givers and does not reflect the individual reference values and deviations. Has not been delivered.

Referring to FIG. 3, a method for calculating an objectivity correction score according to the rating correction unit 130 is as follows. First, when a specific user gives a rating (S100), a reference value and a scale are calculated from the donation ratings of the user (S200). As an example, an average value of donation ratings may be used as a reference value, and a standard deviation value calculated from a plurality of ratings may be set as a scaling value. However, the reference value and the scaling value can be calculated through various methods, and is not limited to the calculation method according to the average value and the standard deviation value. For example, among the various rating values, the highest value and the lowest value among the remaining values excluding the upper and lower 5% ratings may be selected as upper and lower limits of the scaling range.

Next, the objectification vector value of the above-mentioned specific user reference value and scaling value with respect to the preset objectification reference value and objectification scale is calculated (S300), and the rating input from the user is objectified and transformed using the calculated objectification vector value (S400). do.

The similar group determination unit 140 selects similar groups of ratings by type using the above-described specific user reference value and scaling value. The similar group determination unit 140 sets the similar group of a specific user through analysis of ratings corresponding to the top 10% of the scale. Calculate the style for the similar group, that is, the main purchase wine, by using the price, level, production, variety, and tasting note data of the top 10% of wines. However, the top 10% of the figures can be variously converted as needed. Similar groups for such wine purchases can be selected by a method of grouping various users.

The preference predicting unit 150 calculates the suitability and expected rating of a particular wine for a specific user. That is, the preference predicting unit 150 calculates the objectification rating of the specific wine described above from the objectification rating of users corresponding to the similar group of the specific user, and then calculates the objectification rating calculated by the rating correction unit 130 The inverse vector of the vector is applied to calculate the expected personalized rating.

In addition, the preference predicting unit 150 analyzes existing ratings of a specific user or extracts preference region, variety price range, and level data for wines from similar groups, and applies these preference ratios as weights to the predicted personalization ratings for a plurality of wines. By doing so, it is also possible to reflect the personal taste more strongly.

If there is no accumulated rating data such as newly released wine, the rating may be corrected based on the tasting notes of the winery that releases the wine or the expert's rating and the estimated personalized rating may be calculated.

The information providing unit 120 stores wine related data in the offline store terminal 400, the search engine server 500, the SNS server 550, the user terminal 300, the manager terminal 350, and the external wine rating database 600. It provides data such as the objectification vector value for converting rating objectification for a specific user, the suitability/expected personalization rating of a particular wine for a specific user, and similar groups for a specific user. Meanwhile, the information providing unit 120 may provide various wine-related data to the manager terminal 350 or the offline store terminal 400 as shown in FIG. 5.

The preferred embodiments of the present invention have been described above, but the technical spirit of the present invention is not limited to the above-described preferred embodiments, and may be variously implemented in a range not departing from the technical spirit of the present invention as specified in the claims. have.

100: wine information provision system
110: data collection unit
120: information providing department
130: rating correction unit
140: similar group determination unit
150: preference prediction unit
160: wine information database
170: offline store database

Claims (8)

A data collection unit for collecting and receiving wine-related data from external devices including at least one of a search engine server, an SNS server, a user terminal, an external wine rating database, and an offline store terminal;
A rating correction unit that performs objectification conversion through an objectification vector calculated by using data transmitted from the external devices for a rating for a specific wine input from a user terminal of a specific user;
It includes; an information providing unit for providing the external device with the rating data objectified by the image rating correction unit;
The rating correction unit,
A reference value and a scale are calculated from donation ratings of a corresponding user collected from the external devices, and the object value of the reference value and scale is calculated for a preset object value and a scale of objectification, and the object value is used from the user. Objective conversion of the input rating,
The reference value is calculated as an average value of a specific user's rating, and the scale is calculated as a standard deviation value of the ratings of the specific user,
Further comprising a similar group determination unit for selecting a similar group for wine purchase by calculating at least one distribution of price rating, level rating, production area, variety, tasting note data corresponding to the targeted wine rating of the specific user,
Includes a preference prediction unit for calculating the expected rating of a particular wine for a specific user,
The preference predicting unit calculates an objectification rating of the specific wine from the objectification ratings of users corresponding to a similar group of specific users, and calculates an expected personalization rating by applying the inverse vector of the objectification vector to the calculated objectification rating,
The similarity group determining unit groups the similarity groups using at least one distribution of price rating, level rating, production area, variety, and tasting note data of wines corresponding to a ratio within a reference value from the highest level of ratings given by the specific user,
The preference prediction unit extracts the preferred region, variety price range and level data for wine from the similar group of the specific user, and applies a weight to the estimated personalized rating. delete delete delete delete delete According to claim 1,
A wine information providing system including a wine information database in which wine identification information, data collected from a search engine server and an SNS server for the wine, and data collected from a website of the producer of the wine are stored. The method of claim 7,
The information providing unit converts and provides identification information of wine stored in the wine information database, data collected from a search engine server and an SNS server for the wine, and data collected from the winemaker's website into a PDF file. Wine information providing system.

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