KR101591297B1 - Course recommendation system and method thereof, recording medium for performing the method - Google Patents

Abstract

The present invention relates to a course recommendation system, a method for the course recommendation system, and a recording medium for executing the method. The course recommendation method, which is used to recommend a course by using location information obtained by a user′s subjective information and opinion mining, includes the steps of: analyzing and classifying consumer opinions regarding locations by executing an opinion mining operation; receiving subjective information from a user through a user terminal; and recommending a course including the information regarding at least one location according to the subjective information from the user and the location properties obtained by executing the opinion mining operation. Accordingly, the present invention can provide the course fitting the user′s taste and the meeting purpose by recommending the course according to the location properties obtained by the opinion mining and the subjective information from the user.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a course recommendation system and a method thereof, and a recording medium for performing the same.

The present invention relates to a course recommendation system, a method thereof, and a recording medium for performing the course recommendation system. More particularly, the present invention relates to a course recommendation system for generating a course for a place based on user's subjectivity information and location information obtained by performing Opinion Mining And a recording medium for carrying out the method.

Due to the rapid development of information and communication technologies, including the Internet and smart phones, there have been numerous services ranging from web services to smartphone application services. A database of places that users want to visit, such as restaurants, There are also services that will allow you to search by.

However, most services provide users with a list of places as search results that match the user's entered keyword or location information, or they may prefer to show places that have just been viewed, It is only a simple way to provide a list of places with a high average value.

Therefore, the user must obtain additional information about the place by performing a separate search operation if he wants to know whether the place in the given list is really his preferred location. In conclusion, existing methods do not take this into consideration even though their preferences differ from person to person. Therefore, in presenting the place to the user, the preference according to the user's personal taste is not taken into consideration at all. The demand of the market does not meet the current trend.

To overcome the disadvantages of the conventional search and list service, some service providers provide a list of places to users using personalized recommendation techniques.

Currently, users who use the personalized recommendation method to provide recommendation lists to users are able to find users who have recorded a common high evaluation of a certain object, such as Collaborative Filtering (Amazon) There is a method of recommending a specific object to a user having an evaluation record of a similar tendency to them.

There is also a way to recommend other information that contains a lot of content that is common to the content of the information, such as Content Filtering, which Google is using to show similar search results in document search results.

However, these methods are not able to make meaningful recommendations for users who lack the number of records left to analyze the user's recording pattern or to use the pre-created rules, such as contextual information, There is a problem in that it is insufficient to estimate the subjective preference of the place, which is a key element of the present invention.

On the other hand, as internet access becomes available anywhere, and as the amount of opinion information increases, users who use various online services such as blogs, cafes, portals, shopping malls, and tweets analyze the articles uploaded through the communication network, Attempts have been made to evaluate the response of these individuals.

Examples include text mining to find a topic in a document that has no fixed frame, Opinion Mining to extract the emotion expressed by the user who created the document, and so on.

10-2014-0056052

One aspect of the present invention is a course recommendation method for recommending a course using user subjectivity information and location information obtained through Opinion Mining, wherein the subjectivity information of the user obtained through the user terminal and the place information obtained on the web are analyzed through Opinion Mining And a course recommendation system for recommending a course based on data obtained by classification and a method thereof.

The course recommendation system according to an aspect of the present invention can receive user's preference information or preference information, which is information on a preference area, from a user, and transmits the preference information to a course recommendation server, A user terminal receiving a course and place information including place information on the web can be extracted and a web site including the place information can be searched and a consumer opinion on a place is analyzed through a web site, And a course recommendation server that can perform mining and generate course information according to the subjective information transmitted from the user terminal and the opinion information analyzed through the opinion mining and transmit the course information to the user terminal.

On the other hand, the course recommendation server may include a memory unit for storing information about a place parsed through the parsing unit, consumer opinion information analyzed through the opinionin mining, and the subjectivity information, information on a place on the web, A morphological analysis unit for morphologically analyzing the information obtained by the parsing unit, a location evaluating unit for classifying and analyzing the data analyzed by the morpheme analysis unit by consumer opinion on the place, A place extracting unit for extracting a place having an attribute value matching the data analyzed by the place evaluating unit and the subjectivity information obtained from the user; and a place extracting unit for extracting, from the place selected from a place other than the place selected, To the user < RTI ID = 0.0 > And a communication unit for receiving the subjectivity information from the user terminal and delivering the subject information to the memory unit, collecting the course generated from the control unit, and transmitting the collected course to the user terminal.

The course recommendation method according to an aspect of the present invention can receive subjectivity information from a user through a user terminal, can parse information about a place on the web, The location attribute can be stored in the memory unit by the opinionining mining operation. When a request for creating a course is received from the user, subjectivity information is received through the user terminal The location list can be extracted according to the location attribute obtained by performing Opinion Mining and user's subjectivity information. The user can select one of the location lists from the user terminal, The location information obtained by the ministry, the information mining operation A may generate a course including at least one of the location information according to the location attribute information and the subjectivity of the user obtained by performing.

On the other hand, parsing information about a place on the web can collect local information including a business name on the web, extract a business name from the place information, It means that you can collect the URL, download the HTML file through the web URL, and extract the text information contained in the HTML file.

In addition, receiving the subjectivity information from the user through the user terminal may receive subject information, which is information on the preferred region or the preference of the user, from the user, Or preferred leisure activity information.

In addition, when a request for creating a course is received from a user, the receipt of the subjectivity information through the user terminal includes receiving at least one of the region, the meeting person, the meeting purpose, It means that more information can be input.

In addition, extracting the place list based on the place attribute and the user's subjectivity information obtained by performing Opinion Mining can score points where the place attribute obtained by performing Opinion Mining matches the subject information of the user, It means that the place list can be extracted by arranging them in descending order of scores.

Generating a course including at least one place information according to a place selected by the user, place information obtained by the parsing unit, place attribute acquired by performing the opinionin mining operation, and subjectivity information of the user, Extracting places that are different from the place selected by the user within a preset range on the basis of the selected place, extracting places matching the subject information from the extracted places, and extracting places of different kinds And at least one or more extracted places can be arranged in the order of distance to create a course.

The generating of the course including at least one place information according to the place selected by the user, the place information obtained by the parsing unit, the place attribute acquired by performing the opinionin mining work, and the subject information of the user, It means that the user can re-extract a place of a desired kind when the user desires more than two places of the same kind and reproduce the course by including the places included in the created course in the course.

Further, it may be a computer-readable recording medium on which a computer program for recommending a course is recorded.

According to an aspect of the present invention, by recommending a place that is suitable for a user's taste and has good reputation as a course using user's subjectivity information and location information obtained through Opinion Mining, a user can input his or her own subjectivity information There is an advantage that the course according to taste can be easily obtained without searching and verifying several times.

In addition, by updating the blogs and the user's opinions about the places described in the SNS at regular intervals, attributes of the places can be changed, so that the course recommendation can be reflected in the trends at that time.

Also, in the process of classifying the places according to the user's taste or preference, it is possible to form a group or a group satisfying each taste and preference at the same time. Therefore, It is possible to expect high profitability.

1 is a block diagram showing a course recommendation system including a user terminal and a course recommendation server according to an embodiment of the present invention.
2 is a block diagram showing the configuration of the memory unit shown in FIG.
3 is a block diagram showing the configuration of the control unit shown in FIG.
4 is a control flowchart of the place evaluation unit shown in Fig.
5 is a control flowchart of the place extracting unit shown in FIG.
6A and 6B are control flowcharts of the course creation unit shown in FIG.
7 is a control flowchart according to another embodiment of the course creator shown in FIG.
8 is a control flowchart of a course recommendation system according to an embodiment of the present invention.
9A and 9B are diagrams illustrating an example of receiving subject information from a user terminal.
10 is a diagram showing an example of outputting a result of course creation to a user terminal.
11 is a diagram illustrating an independent mobile terminal device capable of performing the course recommendation method of the present invention.

The following detailed description of the invention refers to the accompanying drawings, which illustrate, by way of illustration, specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. It should be understood that the various embodiments of the present invention are different, but need not be mutually exclusive. For example, certain features, structures, and characteristics described herein may be implemented in other embodiments without departing from the spirit and scope of the invention in connection with an embodiment. It is also to be understood that the position or arrangement of the individual components within each disclosed embodiment may be varied without departing from the spirit and scope of the invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is to be limited only by the appended claims, along with the full scope of equivalents to which such claims are entitled, if properly explained. In the drawings, like reference numerals refer to the same or similar functions throughout the several views.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the drawings.

1 is a schematic control block diagram of a course recommendation system according to an embodiment of the present invention.

The course recommendation system may include a course recommendation server 100 and a user terminal 200.

The course recommendation server 100 can recommend the course to the user using the subjectivity information of the user and the opinion information of the user about the place obtained by performing Opinion Mining.

The course recommendation server 100 includes a control unit 110 for controlling the creation of a course based on consumer opinion on a place where Opinion Mining is performed and user's subjectivity information, a memory unit 120 for storing information necessary for creating a course And a communication unit 130 for transmitting and receiving data with the user terminal.

The control unit 110 can extract the place information on the web. The control unit 110 can extract a business name from the place information. The control unit 110 may collect the consumer opinion information on the place through the website including the business name. The control unit 110 may perform opinion mining on the consumer opinion information on the place to obtain the place property. The control unit 110 can control the user to generate a course according to the subjectivity information transmitted from the user terminal and the location attribute acquired through Opinion Mining.

The memory unit 120 may store information about a place parsed through the parsing unit and location attribute and subjectivity information obtained through Opinion Mining.

The information on the place may include at least one of a place type, a business name, a telephone number, a location, and price information. The place attribute may be a value corresponding to the subjectivity information input by the user.

The communication unit 130 may receive the user subjectivity information from the user terminal 200. The communication unit 130 may transmit the user subjectivity information received from the user terminal 200 to the memory unit 120. The communication unit 130 may collect the course generated from the control unit 110 and transmit the collected course to the user terminal 200.

The user terminal 200 may collect the subjectivity information including information on the taste and preference of the user from the user. The user's subjectivity information may include at least one of a food taste, a preferred leisure life, and a preferred area. The user terminal 200 can transmit the subjectivity information of the user to the course recommendation server 100. [ In addition, the user terminal 200 can receive the course data from the course recommendation server 100 and provide it to the user.

The user terminal 200 may be implemented in various forms. The user terminal may be a PC, a mobile phone, or a smart phone, and may be included in a user terminal if the terminal is capable of communication and capable of inputting and outputting information.

2 is a block diagram showing the configuration of the memory unit 120 shown in FIG.

The memory unit 120 includes a consumer opinion database 121, a place information database 122, a user subjectivity information database 123, a course database 124, an emotion dictionary database 125, and an attribute dictionary database 126 .

The consumer opinion database 121 can store the acquired location attribute by performing Opinion Mining on the consumer's opinion on the place.

The place information database 122 can store information of places obtained on the web. The location information may include at least one of a business name, a location, and a telephone number.

The user subjectivity information database 123 may store subjectivity information including at least one of the user's favorite region, food taste, and preferred leisure life inputted from the user terminal 200.

The emotional dictionary database 125 may be a database in which emotional words that a consumer can feel about a place are classified as positive, neutral, and negative. Values defined in the emotion dictionary database 125 may be classified as positive, for example, a value of 'good' may be classified as positive, and values of 'passable' may be classified as neutral, while values of 'bad' .

The attribute dictionary database 126 may be a database that defines properties that a user can select and the types of tastes that the place may have. The values defined in the attribute dictionary database 126 are not limited to the comprehensive values such as 'delicious' and 'tasteless', for example, if there is an evaluation element 'taste' in the attribute dictionary, &Quot;, as shown in FIG.

3 is a block diagram showing the configuration of the control unit 110 shown in FIG.

The control unit 110 may include a parsing unit 111, a morphological analysis unit 112, a place evaluating unit 113, a place extracting unit 114, and a course generating unit 115.

The parsing unit 111 can collect place information on the web. The place information includes a business name. The location information may include at least one of a photograph, a location, and a telephone number for a business name. The parsing unit 111 can extract a business name from the place information. The parsing unit 111 can search a web site using a business name as a keyword. The parsing unit 111 can collect the URL of the web in which the keyword exists. The parsing unit 111 downloads the HTML file through the URL of the web and extracts the text information included in the HTML file.

The parsing unit 111 may parse the location information on the web at predetermined time intervals, and may parse the consumer opinion information on the location so that the location information and the consumer opinion information can be continuously updated.

The morpheme analysis unit 112 can analyze the consumer opinion data. Morphological analysis is the work of dividing sentences into minimum units.

The task of dividing sentences into minimum units can be done through a morpheme analyzer that is open to the public as an open project. The morpheme analyzer can divide the consumer opinion sentence about the place where the attribute value is extracted into a minimum unit.

The place evaluating unit 113 compares the morpheme-analyzed consumer opinion data from the morpheme analyzing unit 112 and the emotion data of the emotion dictionaries database 125 and compares them with the attribute data of the attribute dictionary database 126 to evaluate the place have.

The location evaluating unit 113 can compare the morpheme analyzed consumer opinion data with the emotion data to determine whether the consumer opinion is positive, neutral or negative according to the classification of the emotion dictionary database 125. [

When the item is classified as positive or neutral, the place evaluating unit 113 can extract morpheme-analyzed consumer opinion data for a place corresponding to the item. If the extracted data and the attribute data have the same value, the place evaluating unit 113 can designate a matching value as an attribute value for the place.

In addition, the location evaluating unit 113 can display the attribute strength with respect to the attribute value when the attribute value already exists. Displaying the attribute strength of an attribute value can be represented by an attribute index, and the attribute index can be given a +1. The designated attribute value may be stored in the place information data 112 of the memory unit 110. [

The place extracting unit 114 can extract a place suitable for the user's taste according to the place attribute obtained by the place evaluating unit 113. [ The extraction of a place suited to the user's taste according to the place attribute can be performed by a method of comparing the value of the place attribute and the value of the user's subjective information and extracting a place where a matching value exists.

The location extracting unit 114 may compare the subjectivity information of the user with the value of the location attribute of the Opinion Mining to check whether there is a matching value. The place extracting unit 114 can calculate the number of matching attribute values, if any.

The place extracting unit 114 can add the number of attribute values matching the attribute index for the matching attribute value. The place extracting unit 114 can extract and arrange the places in descending order of the sum.

The user can input a desired place among the extracted places. The place extracting unit 114 can re-extract the place within the predetermined distance range based on the place selected by the user.

The course creating unit 115 can create a course based on the places selected by the place extracting unit 114 and the subjectivity information and the distance information inputted by the user. The course may be created based on the subjectivity information and the distance information inputted by the user, for example, the course may be generated in consideration of the contact time information of the user, and the course may be arranged in the order of closest distance. The course generating unit 115 can generate a plurality of courses.

FIG. 4 is a control flowchart of the place evaluation unit 113 shown in FIG.

The place evaluating unit 113 can check whether the emotion data and the morpheme analyzed consumer opinion data match. If they match, the place evaluating unit 113 can check whether the corresponding value includes a negative word such as 'no' which can be inverted. The place evaluating unit 113 can check whether the negative sentence is included until the sentence ends or the next word is encountered. If the sentence does not include an unauthorized word, the location evaluation unit 113 may determine whether the matching item is positive, neutral, or negative according to the classification of the emotion dictionary (310).

When the item is classified as positive or neutral, the place evaluating unit 113 can extract morpheme-analyzed consumer opinion data for a place corresponding to the item. The location evaluating unit 113 may compare the extracted data with the attribute data (320).

The location evaluating unit 113 can check whether there is a matching value among the extracted data and the attribute data (330).

If the location evaluating unit 113 has a value that matches the attribute data, it can check whether the corresponding value includes a negative word such as 'no' which can be inverted. The place evaluating unit 113 can check whether the negative sentence is included until the sentence ends or the next word is encountered. If the sentence does not contain a negative word, the place evaluating unit 113 can designate a matching value as an attribute value for the place (340).

In addition, the place evaluating unit 113 can check whether the attribute value exists as an attribute value for the place (350).

The location evaluating unit 113 can display the attribute strength of the attribute value when the attribute value exists. Displaying the attribute strength for an attribute value can be represented by an attribute index, and the attribute index can be given +1 (360).

5 is a control flowchart of the place extracting unit 114 shown in FIG.

The location extracting unit 150 may compare the subjectivity information of the user with the attribute value of the location where Opinion Mining is performed to check whether there is a matching value (410). The location extracting unit 150 can calculate the number of identical attribute values (420).

The place extracting unit 150 may add 430 the number of attribute values and the attribute index of the matching attribute values. The place extracting unit 150 arranges places in descending order of the sum and extracts them as a place list. The location extracting unit 150 may call the communication unit 170 to display the location list on the user terminal 200 (440).

The user can enter a desired one of the displayed places (450). The location extracting unit 150 may extract the location within the predetermined distance range again based on the selected location (460). The location extracting unit 150 may compare the attribute values of the extracted places with the user's subjectivity information to determine whether there is a matching value (470). The place extracting unit 150 may add up the number of matching attribute values and the score of the attribute strength for the corresponding place. The place extracting unit 150 arranges the sums in descending order so that the place can be extracted (480).

6A and 6B are control flow charts of the course creating unit 115 shown in FIG.

Referring to FIG. 6A, the course generating unit 115 may collect the place data selected by the place extracting unit 114 (510). The course creation unit 115 can create a course in consideration of the distance selected by the user and the locations selected by the location extraction unit 114. [ In order to create a course in consideration of the distance, it is possible to arrange the places in order of distance to generate a course. A plurality of courses may be generated (520). The course creation unit 115 may store the created course in the course database 124 (530).

Referring to FIG. 6B, the course creation may be performed when the encounter time information among the subjectivity information input by the user exists. The course generating unit 115 may collect the place data selected by the place extracting unit 114 (540). The course creation unit 115 can confirm whether the user has entered the contact time information (550). If the user does not input the contact time information, the course creating unit 115 may generate the course in consideration of the distance (560). The course generating unit 115 may generate a course in consideration of distance and time when the user inputs the encounter time information (570). The course creation unit 115 may store the created course in the course database 124 (580).

7 is a control flowchart according to another embodiment of the course creator shown in FIG.

Another embodiment of the course generating unit 115 may be implemented when a user desires more than one place of the same kind. If the user desires more than two places of the same type, he can regenerate the course by adding the same kind of place desired by the user to the course data generated by the course generating unit 115. [

The course creation unit 115 can confirm whether the user wants more than one place of the same type (610). If the user desires more than one place of the same type, the course creating unit 115 may collect the selected place data and the created course data from the place extracting unit 114 (620). The course creation unit 115 may extract 630 the desired kind of place from the place data by the user at two or more places. The course generating unit 115 may select a place that exists in the created course among the extracted place data and a place in the highest position among the places that are present in the created course (640). The course creating unit 115 may add the selected place to the created course (650).

The course creation unit 115 can confirm whether the number of types of places desired by the user is satisfied by confirming whether the user satisfies the desired requirements again (660). If the requirement of the user is not satisfied, the course creating unit 115 may repeat the process of extracting another place among the same kind of places.

The course creating unit 115 may add the extracted place when the user's requirement is satisfied, and re-create the course in consideration of the distance or time information (670). The course creation unit 115 may store the re-created course in the course database 124 (680).

8 is a control flowchart of the course recommendation system 1 according to an embodiment of the present invention.

Finally, a method of controlling a course recommendation system according to an embodiment of the present invention will be described. The course recommendation system 1 can perform opinion mining on a place (710). The course recommendation system 1 may collect the subjectivity information from the user terminal 200 (720).

The course recommendation system 1 can extract the place list based on the place information data obtained by performing Opinion Mining and the subjectivity information of the user (730). The course recommendation system 1 can select one of the place lists from the user (740).

The course recommendation system 1 can generate a course based on a place selected by the user (750). The course recommendation system 1 can display the created course on the user terminal 200 (760).

FIGS. 9A and 9B are diagrams illustrating an example of receiving subjectivity information from the user terminal 200. FIG.

Referring to FIG. 9A, the user terminal 200 receives user's subjectivity information. Receiving the user's subjectivity information may be input of the user's favorite place information, inputting the food taste information, or inputting the favorite leisure activity information.

Preference place information, food preference information, and preferred leisure activity information can be inputted, and at least one information can be inputted.

Referring to FIG. 9B, when a user selects a course recommendation, information on a meeting can be input. The information about the meeting may be the type of visual, personnel, purpose, desired place. The information on the meeting can be obtained by receiving at least one information.

10 is a diagram showing an example in which a result of course creation is output to the user terminal 200. FIG.

The user terminal 200 can display the finally generated course. The courses ultimately displayed on the user terminal 200 may include information on each place and a photograph. The displayed course may be a plurality of courses, and the course characteristics can be displayed. The characteristics of the course may be, for example, when using public transportation, or when using a car.

In addition, the user terminal 200 can receive the satisfaction of the course or the latter from the user for continuous maintenance and management of the present invention.

11 is a diagram illustrating an independent mobile terminal device capable of performing the course recommendation method of the present invention.

Such a technique for providing a course through a user terminal and a course recommendation server may be implemented in an application as shown in FIG. 11 or may be implemented in the form of program instructions that can be executed through various computer components and recorded on a computer readable recording medium . The computer-readable recording medium may include program instructions, data files, data structures, and the like, alone or in combination.

Program instructions that are recorded on a computer-readable recording medium may be those that are specially designed and constructed for the present invention and are known and available to those skilled in the art of computer software.

Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like.

Examples of program instructions include machine language code such as those generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. A hardware device may be configured to operate as one or more software modules to perform processing in accordance with the present invention, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those skilled in the art that various changes and modifications may be made therein without departing from the spirit and scope of the invention as defined in the appended claims. It will be possible.

100: course recommendation server 200: user terminal
110: control unit 120: memory unit
130: communication unit 111: parsing unit
112: Morphological analysis unit 113: Place evaluation unit
114: place extracting unit 115:
800: mobile terminal

Claims (11)

A user terminal for receiving information on a preference of a user or information on a preference area from a user and receiving the subjectivity information of the user by transmitting the subjectivity information to a course recommendation server; And
An opinion mining is performed by extracting the place information including the place information on the web, searching the website including the place information, analyzing the consumer opinion on the place through the website, Extracts consumer opinion data on a place where the opinion is judged to be affirmative or neutral and compares the consumer opinion data on the place where the consumer opinion is judged to be positive or neutral and the property data that the place can have, Acquiring a location attribute for a place where the opinion of the consumer is determined to be affirmative or neutral and comparing the location attribute for the location with the subjectivity information of the user to determine the number of location attributes matching the user's subjectivity information for each location , And calculates the length of the chapter corresponding to the user's subjectivity information And a course recommendation server that arranges places according to the number of minor attributes to generate course information, and transmits the generated course information to the user terminal. The method according to claim 1,
The course recommendation server,
A memory unit for storing information on a place parsed through a parsing unit, consumer opinion information analyzed through Opinion Mining, and the subjectivity information;
A morpheme analyzing unit for morpheme analyzing the information obtained by the parsing unit; and a data analyzing unit for analyzing the data analyzed by the morpheme analyzing unit through the opinion mining A place extracting unit for extracting a place having an attribute value matching the data analyzed by the place evaluating unit and the subjectivity information obtained from the user; A controller for sorting places in a predetermined range of distance between the selected place and the selected place and recommending the place to the user;
And a communication unit for receiving the subjectivity information from the user terminal and transmitting the subject information to the memory unit, and collecting the course generated from the control unit and transmitting the collected course information to the user terminal. Receives subjectivity information from a user via a user terminal,
Parsing consumer comments on places and information on the web,
An opinion mining operation is performed on the consumer opinion on the place to analyze the place property,
Information about the parsed place, and location attribute analyzed through Opinion mining operation is stored in the memory unit,
When a request for creating a course is received from the user, subjectivity information is input through the user terminal,
Opinion mining is performed to extract consumer opinion data on a place where the consumer opinion is judged to be positive or neutral and the consumer opinion data on the place where the consumer opinion is judged as positive or neutral and the property that the place can have Comparing the attribute data of the user with the attribute information of the user to obtain a place attribute for a place where the opinion of the consumer is judged to be affirmative or neutral and comparing the place attribute for the place with the subjectivity information of the user, Extracts a location list according to the number of location attribute values coinciding with the subject information of the user,
Selecting one of the location lists from the user through the user terminal,
A course recommendation method for creating a course including at least one place information according to a place selected by a user, place information obtained by a parsing unit, place attribute acquired by performing opinionin mining, and subjectivity information of the user. The method of claim 3,
Parsing the consumer's opinion of the place and the information about the place on the web,
Collects local information including a business name on the web, extracts a business name from the location information, searches a website using a business name as a keyword, collects a URL of the web, downloads an HTML file through a URL of the web, A course recommendation method for extracting text information contained in an HTML file. The method of claim 3,
Parsing the consumer's opinion of the place and the information about the place on the web,
The method of recommending a program for parsing consumer opinion information on place information and a place on the web at predetermined time intervals to continuously update the place information and consumer opinion information on the place. The method of claim 3,
Receiving the subjectivity information from the user through the user terminal,
And inputting subjectivity information which is information on a preference region from the user or a preference of the user,
Wherein the information on the preference of the user includes a taste of the user or a preferred leisure activity information. The method of claim 3,
Receiving a subject creation request through the user terminal when a request for creating a course is received from the user,
A recommendation method of receiving at least one piece of information from the user, an area desired to meet, a meeting person, a meeting purpose, a meeting time, a type of desired place, and economic information. The method of claim 3,
The extraction of the place list based on the place attribute obtained by performing Opinion Mining and the subjectivity information of the user,
A course recommendation method of scoreing places where the location information data obtained by performing Opinion Mining and the subjectivity information of the user coincide with each other and arranging places according to the scores to extract a place list. The method according to claim 6,
Generating a course including at least one place information according to a place selected by a user, place information obtained by a parsing unit, place attribute obtained by performing opinionion mining work, and subjectivity information of the user,
Extracting a place of a type different from a place selected by the user within a predetermined range based on the place selected by the user,
Extracting a place matching the subjectivity information among the extracted places, and extracting places having different kinds; repeating the process of extracting places having different types, and arranging at least one extracted place in the order of distance to generate a course. The method according to claim 6,
Generating a course including at least one place information according to a place selected by a user, place information obtained by a parsing unit, place attribute obtained by performing opinionion mining work, and subjectivity information of the user,
If the user desires more than one place of the same kind, the user re-extracts the place of the desired kind,
Suggested ways to recreate a course by including it in the course and other places. 11. A computer-readable recording medium having recorded thereon a computer program for recommending a course according to any one of claims 3 to 10.

Images