KR20030036500A - A method for determining a specialist in a field on-line and a system for enabling the method - Google Patents

Abstract

PURPOSE: A method and a system for electing an expert on the online are provided to activate a question and an answer between online users, and to improve a quality of the contents in the question and the answer. CONSTITUTION: The first user inputs the question(201). A category related to the question is decided(202). The question is provided to a web page(203). The second user inputs the answer(204). An answer number related to the second user corresponding to the category is increased by responding to answer input(205). In case that the first user selects the answer, an answer adoption number related to the second user corresponding to the category is increased(207). A point related to the second user corresponding to the category is calculated on the basis of the evaluation data including the answer number and the answer adoption number(208). In case that the point is above a standard value, the second user is elected as the expert of a field corresponding to the category(210).

Description

A METHOD FOR DETERMINING A SPECIALIST IN A FIELD ON-LINE AND A SYSTEM FOR ENABLING THE METHOD}

The present invention relates to a method and system for selecting experts online, and more particularly, to allow users to answer a question and answer the question online, and to satisfy a predetermined criterion among the users. The present invention relates to a method and a system for selecting an expert in a field corresponding to the answer.

There is a general service that provides a space for users to communicate online, such as the Internet, and users use these spaces to socialize and ask other users for help by asking questions. do.

At this time, it is desirable to faithfully answer questions and answers among users, but there may be cases in which there is no answer to a question, an answer is inappropriate, or the quality of the question itself is poor. If this happens frequently, the utilization rate of users will gradually decrease.

In such a case, a service provider providing a predetermined service in the web page cannot force users to ask or answer a question, and there is no obvious way to improve the quality of the content of the question or answer itself. Since it is impossible for a service provider to manage the contents of the questions or answers posted by the users on the web page itself, in order for the question answering service to be activated, the voluntary participation of the users should be the first priority. I need a solution.

In addition, in order to obtain desired information online, it is common to input a proper keyword or the like on a search site and to select a type of information desired by a user from among a plurality of information searched according to the keyword. By the way, the Internet search has the advantage of using the vast amount of information on the Internet, while the amount of information is so large that the process to find the desired information is complicated and takes a long time.

In order to solve these problems, a method has been devised to enable the user to obtain desired information in the form of an answer to a question, while motivating the user to activate the question and the answer.

1 is a diagram illustrating a network connection of a question and answer system according to the prior art. According to the prior art, a user (questioner) with a certain question connects to the question and answer system 106 via the Internet 103 using his or her user terminal 101. Then, by searching the knowledge database 104 by entering keywords related to his question, it is checked whether a question similar to his question or an answer associated with his question is already registered in the knowledge database 104. If the questioner does not get a proper answer to his or her question through the search, he or she registers his question in the question answering system 106. In addition, the questioner may register his or her question directly in the question and answer system 106 without performing the above search.

Another user (answerer) uses her user terminal 102 to access the question answering system 106 via the Internet 103. The answerer uses the question answering system 106 to search or browse the registered questions. If the answerer finds a question that he or she can answer, the answerer registers an answer to the question. Later, when the questioner reconnects to the question answering system 106 and searches for his question, he or she can see the answer to his question. In the prior art, the questioner selects a satisfactory answer among a plurality of answers to his question, and induces a certain reward such as paying a cyber point to the answerer of the selected answer, thereby inducing the answer of the answerer.

However, in addition to paying the cyber points, there is a need for a method for inducing active questions and answers to users, and inducing experts' answers in a certain field without paying a separate fee. It is becoming.

The present invention has been made to improve the prior art as described above, and provides an online expert selection method and system that can activate the questions and answers between users and improve the quality of the content of the questions and answers. It aims to do it.

In addition, the present invention activates questions and answers among users by selecting experts in the fields corresponding to the categories according to a predetermined criterion in relation to questions or answers of the users corresponding to a predetermined category, It aims to provide a method and system for selecting experts online to improve the quality of content.

In addition, the present invention, when a user is selected as an expert of a predetermined category, the user who wants to be selected as an expert is actively responded to questions and answers by causing the user to display a predetermined character image on the web page in association with the category and the user. It is an object of the present invention to provide a method and system for selecting experts online that can encourage participation.

In addition, an object of the present invention is to provide a method and system for selecting an expert online that can induce a user to be actively selected to participate in questions and answers by giving a certain benefit to the user elected as an expert.

1 is a diagram illustrating a network connection of a question and answer system according to the prior art.

2 is a flowchart illustrating a method of selecting an expert according to an embodiment of the present invention.

3 is a diagram illustrating a screen for a first user to input a question according to an embodiment of the present invention.

4 is a flowchart illustrating a process of determining a category related to a question input from a first user according to an embodiment of the present invention.

FIG. 5 illustrates an example of data stored in a database used in an expert selection method according to an embodiment of the present invention. FIG.

6 is a flowchart illustrating a method of selecting an expert according to another embodiment of the present invention.

7 is a view showing an example of a character image stored in a character database in the expert selection method according to another embodiment of the present invention.

8 illustrates a method of selecting an expert according to another embodiment of the present invention, in which a result is displayed on the web page when other users evaluate the question with respect to a question input from a first user. One drawing.

9 is a block diagram illustrating an expert election system in accordance with another embodiment of the present invention.

10 is an internal block diagram of a general purpose computer system that may be employed to construct an expert election system or the like in accordance with the present invention.

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

901 Database

902 points of calculation

903 Expert Grading Unit

904 Character Database

905 Display

In order to achieve the above object and solve the problems of the prior art, the present invention comprises the steps of receiving a question from a first user, determining a category associated with the question, providing the question on a predetermined web page, Receiving an answer to the question from a second user, increasing the number of answers associated with the second user corresponding to the category in response to the input of the answer, if the answer is selected from the first user Increasing a number of adopting answers associated with the second user corresponding to a category, and calculating a point associated with the second user corresponding to the category based on evaluation data including the number of answers and the number of adopting answers And the second user satisfying a predetermined criterion based on the points. When the point a step of electing as an expert in the art for the ring less than the predetermined reference value provides a professional method of selecting on-line including the step of electing an expert in the field corresponding to the second user to the said category.

According to an aspect of the present invention, the evaluation data, the number of questions that is the number of times a question associated with the category is input from the second user, the question associated with the category is input from the second user and the other user for the question If the answer is input, the method further includes any one or more of the question number of questions, which is the number of times the selection of the answer is not input from the second user within a predetermined period, and the number of service logins, which is the number of times the second user logs in.

According to an aspect of the present invention, there is provided a method of selecting an expert on an online basis in which a character image is maintained in a character database in association with each category, when the point corresponding to a predetermined category of the second user is equal to or greater than the reference value. Retrieving a character image corresponding to a category and displaying the character image in association with the second user.

According to an aspect of the present invention, there is provided a method of selecting an expert online, the method comprising: receiving a question from a first user, providing the question on a predetermined web page, receiving an answer to the question from a second user, Increasing the number of answers associated with the second user in response to the input of the answer; if the answer is selected from the first user, increasing the number of adopting answers associated with the second user, the number of answers and the Calculating a point associated with the second user based on the evaluation data including the answer adoption number, and selecting the second user who satisfies a predetermined criterion based on the point as an expert.

According to one aspect of the invention, a database for maintaining an expert rating record corresponding to the user, wherein the expert rating record is a user identifier associated with the user, a category, evaluation data, points point, and a specialist level, a point calculating unit for calculating the point by a predetermined calculation method based on the evaluation data, and a predetermined expert grading rule according to the point. There is provided a question and answer providing system comprising an expert grade determining unit for determining the expert grade.

According to one aspect of the present invention, the character database for storing one or more character images corresponding to the expert rating for each category, and further comprising a display unit for displaying the character image in association with the second user and the category A question answering system is provided.

Hereinafter, with reference to the accompanying drawings will be described an embodiment of the present invention;

2 is a flowchart illustrating a method of selecting an expert according to an embodiment of the present invention. The expert election method according to the present embodiment is executed by the expert election system according to the present invention.

In step 201, the expert election system receives a question from a first user. 3 is a diagram illustrating a screen in which the first user inputs a question. The first user inputs the title of the question in the question title window 301, and inputs the content of the question in the question content window 302. According to another embodiment of the present invention, a question input window for directly inputting a question is provided without separately distinguishing a question title window. The question period button 304 is a period in which an answer to the question can be input. After the question period has passed, no one else can enter an answer to the question. The 'dial point' button 305 relates to a point to be rewarded to the answerer of the answer selected by the questioner among the answers to the question. The point may be real money or a cyber point that can only be exchanged on the cyber. You can also ask questions without placing the points. When the interrogator clicks on the 'confirm' button 306, the question is transmitted to the expert selection system via the Internet. If the first user is a difficult question and is not easy to answer, a long question period can be set, and if a quick answer is required, the first user can easily obtain a desired answer by setting a short question period and walking a lot of points.

In step 202 a category associated with the question is determined. According to one embodiment of the invention, the category associated with the question may be determined by having the first user select the category associated with the question using the 'Select Category' link 303 in FIG. 3.

According to another embodiment of the present invention, as shown in FIG. 4, a category related to a question may be determined using a morphological analysis method. In step 401 the expert election system maintains a category and one or more keywords associated with the category in a category database and stems the question to extract keywords (steps 402 and 403).

Morphological analysis means analyzing sentences by morpheme. For example, if a question is entered, "What is the difference between advanced and general in coffee vending machines?", The sentence is "coffee vending machine", "in", "advanced", "and", "general", "of" , "Difference", "is", and "?"

In step 403, keywords are extracted from the morphemes analyzed. Keywords are selected around nouns and the like. In the above, "coffee machine", "advanced", "general" and "difference" are extracted as keywords. According to another embodiment of the present invention, another keyword extraction method may be employed.

In step 404, a category database is used to identify the category associated with the extracted keyword and determine the identified category as the category associated with the question. For example, if "coffee" is stored in the category database as a category associated with "coffee vending machine", "coffee" is identified as the category associated with the question.

According to another embodiment of the present invention, the identified category may be provided to the questioner, and the first user may be able to confirm that the identified category is a category related to the question. The first user is provided with the identified category, identifies the category, and inputs a selection for the provided category. For example, if a plurality of categories are identified as a category related to a question of a first user, the plurality of categories are provided to the first user, and the first user is most closely related to his or her question among the plurality of categories. Select and enter the category you think. The expert election system then determines the category into which the selection is entered as the category associated with the question. According to the present embodiment, the expert selection system identifies a category related to the question and is again confirmed by the first user who is the questioner, so that the selection of the category related to the question is correct and at the same time the first user is comfortable with the question. The advantage is that you can choose the category associated with.

Once the category associated with the question is determined, in step 203 the expert election system presents the question on a web page to allow other users to view the content.

In step 203 the expert election system provides the entered question on a web page. The second user inputs an answer to the question in step 204 and the expert election system increases the number of answers associated with the second user corresponding to the category in response to the input of the answer in step 205. Let's do it.

5 is a diagram showing an example of data stored in a database used in the expert selection method according to the present embodiment. The user field stores a user identifier for identifying a user. Typically, an ID may be used as the user identifier. In FIG. 5, a user whose ID is kkue (hereinafter referred to as 'user kkue') has a question or answer related to the categories of 'Japanese animation', 'dog', 'math', and 'earth science'. When the user kkue answers the question that the first user relates to the 'math' category, the number of answers corresponding to the 'math' category increases from 35 to 36.

In step 206, the first user may select the most appropriate answer to the question from one or more answers input from users including the second user. According to an embodiment, when the first user does not select the most appropriate answer in step 206, it is assumed that the question is abandoned, and in the database shown in FIG. 5, the 'question derived number corresponding to the first user' is determined. 'Can be increased.

If the first user selects the second user's answer in step 206, then in step 207 the number of adopting answers associated with the second user corresponding to the category is increased.

In step 208, a point associated with the second user corresponding to the category is calculated based on the evaluation data including the number of answers and the number of adopting answers. According to an embodiment of the present invention, the point may be calculated using an answer adoption rate that is a ratio of the number of answers and the number of answer adoption as an evaluation material.

According to another embodiment of the present invention, the number of answers or the adoption rate of the answers may be reflected only when the second user answers the question related to the category more than a predetermined number of times. For example, if the predetermined number of times is set to 30 times, the number of answers associated with the second user is reflected as the evaluation data from 30 times. According to such a configuration, when the second user answers the question related to the 'math' category once, and the answer is selected, the answer adoption rate is 100%, which is not suitable as an evaluation material. For example, even if the number of absolute answers is small, the adoption rate of answers can be prevented from being excessively large. According to another embodiment of the present invention, the predetermined number of times may be set differently for each category to reflect the characteristics of each category.

In addition, according to another embodiment of the present invention, the number of answers and the number of adopting the answers may include the number of answers input from the user and the number of answer book selections for a question corresponding to a subcategory included in the category. . For example, type 2 answers to questions related to the category “Earth Science”, a subcategory of the “Natural Sciences” category, and 3 answers to questions related to the “Chemistry” category, a subcategory of the Natural Sciences category. The number of answers corresponding to the user's 'natural science' category is five. In this case, whether the number of answers or the number of answer adoption is applied to a subcategory up to which level is different according to an embodiment, and may be preferably applied to a subcategory having three levels of depth.

In addition, according to another embodiment of the present invention, the evaluation data is a question number that is the number of times a question associated with the category is input from the second user, a question associated with the category from the second user is input from another user When the answer to the question is input, one or more of the number of questions, which is the number of times the selection of the answer is not input from the second user within a predetermined period of time, and the number of service logins of the number of times the second user logged in to include The point may be calculated based on the evaluation data.

In addition, according to an embodiment of the present invention, the point may be calculated by giving a predetermined weight to each of the above-mentioned evaluation data. For example, if the evaluation data is the number of answers, the adoption rate, the number of questions, the number of questions asked, and the number of service logins associated with each category,

Points = (number of answers) x10 + (answer adoption rate) x1000 + (number of questions) x1 + (number of questions organic) x (-20) + (number of service logins) x1

Can be obtained in the same manner as

The weight assigned to each evaluation data can be appropriately selected by the service provider who provides the service using the expert selection method. Taking the value stored in the database shown in FIG. 4 as an example, the point corresponding to the 'math' category associated with the user kkue is 691.

Meanwhile, as described with reference to FIG. 3, when the first user who asks a question using the 'pointing' 305 hangs a point of a certain size, when the answer of the second user is adopted, the size of the first user's point is determined. It is further possible to use a point calculation method that decreases by and the point of the second user increases by the magnitude.

In the present invention, in order to calculate the points, the number of answers, the number of adopting answers (or the rate of adopting answers), the number of questions, the number of questions asked, the number of service logins, etc. are adopted as the evaluation data. This may vary, such as when data are added or existing evaluation data are excluded.

In step 209, if the point is equal to or greater than a predetermined reference value, the second user is selected as an expert in a field corresponding to the category. If the reference value is 600, since the point associated with the user kkue corresponding to the 'math' category is 691, the user kkue may be selected as an expert in the field of 'math'.

According to another embodiment of the present invention, if the point associated with the second user corresponds to a predetermined rank based on a point associated with each user corresponding to the category, selecting the second user as an expert It may further include. That is, for a user who has a question or an answer with respect to the category, a point associated with the category may be calculated, and a point associated with the second user may be ranked in comparison with a point associated with another user. At this time, only the second user whose rank is within 10% of the upper (or lower, depending on the embodiment) is elected as an expert.

In the present invention, in order to calculate the points, the number of answers, the number of adopting answers (or the rate of adopting answers), the number of questions, the number of questions asked, the number of service logins, etc. are adopted as the evaluation data. This may vary, such as when data are added or existing evaluation data are excluded.

A lot of answers associated with a particular category means that the user knows well about the field that corresponds to that category, and a high number of answers can mean that the user's knowledge of the field is evaluated by other users. The number of answers and the number of answers adopted are good evaluation data for evaluating the user's professionalism. The expert selection method according to the present embodiment is configured such that the first operator who inputs the question selects an answer. According to another embodiment of the present invention, the expert selection system allows a plurality of users excluding (or including) the first user who has asked the question to answer the question and answers according to the result of the vote. Can be selected. The answer adoption number is also a good resource for evaluating the expertise of the user since the answer adoption rate is the ratio of the answer adopted by other users among the answers in the corresponding field of the user.

The number of questions means that if a user asks a lot of questions in a specific field, the user is highly related to the field, and the user who is dismissed without adopting the answer to his or her question is somewhat unrelated to the field. Because it can be said that the number of questions and the number of questions organically is a good evaluation material. In addition, since the number of times a user logs in to the service is a measure of how much the user has used the service, it can be seen that it reflects the degree of relevance of the user to a specific field. It is an assessment that can lead to more and more use.

As described above, according to the method of selecting an expert according to the present embodiment, an expert in a field corresponding to the category may be selected by evaluating questions and answers for each category. In addition, by reflecting the number of questions and answers in the points, and by weighting the number of answers adopted as appropriate answers to the questions, the user who actively participates in questions and answers and provided high quality answers can be selected as an expert. Can be.

On the other hand, for the second user elected as an expert, the expert selection system may display that the second user is an expert in a certain category, when searching for the user information for the second user. In this case, the expert selection system may display the point of the second user and the character image to be described later in addition to the display.

According to another embodiment of the present invention, receiving not only a question from the first user but also a user identifier for identifying a second user selected as an expert in a field corresponding to the category related to the question. The method may further include providing the question to a user, receiving an answer to the question from the second user, and providing the answer to the first user. In this case, a step of providing a question to the second user may use a predetermined e-mail server, and when the second user is logged in to the expert selection system, a message service for transmitting a real-time message to the second user. Can be used.

According to this configuration, instead of inputting a question for an answer to an unspecified number of users, the first user may request that only the user selected as an expert in a field corresponding to the category related to the question be answered. Therefore, when the answer from the second user is provided without setting an answer period of a certain period, the first user can achieve the desired purpose, and when the expert identifiers for the plurality of experts are input, The advantage is that you can get answers from experts.

The expert selection method according to another embodiment of the present invention may allow a character image related to the category to be displayed on the web page in association with a user selected as an expert in a field corresponding to a predetermined category. 6 is a flowchart illustrating a method of selecting an expert according to the present embodiment. Since the method for selecting an expert according to the present embodiment includes all of the steps corresponding to steps 201 to 210 shown in FIG. 2 and the configuration thereof, the description of the steps will be omitted. 6, only steps 611 through 614 are shown. In step 611 the expert election system maintains a character image in a character database in association with each category. In step 612, it is determined whether a point corresponding to the predetermined category of the second user is equal to or greater than the reference value, that is, selected as an expert.

If it is determined that the point corresponding to the category of the second user is equal to or greater than the reference value, the character image corresponding to the category is retrieved from the character database in step 613. In operation 614, the retrieved character image is displayed in association with the second user. For example, when the user information is displayed on the web page, the searched character image may be displayed together with a user ID, a self-introduction input by the user, and the like.

According to another embodiment of the present invention, based on a point associated with each user corresponding to the category, it is determined whether a point associated with a second user corresponds to a predetermined rank, and as a result of the determination, the point associated with the second user Steps 613 to 614 are performed only if the points correspond to the ranking.

According to still another embodiment of the present invention, the method may further include maintaining one or more classes according to the points in a predetermined storage device. Since the storage device may be implemented in the same physical device as the database described with reference to FIG. 5, the present embodiment describes a case in which one or more classes according to the points are maintained in the database. For example, if the point is 0 to 299, the grade may be classified into sewage, and in the case of 300 to 599, common people and the like. Therefore, as shown in FIG. 4, the user kkue has a rating corresponding to common people in the category of 'Japanese animation', and the rating is heavy in the case of the 'math' category, and the rating in the 'earth science' category. Corresponds to this stick. In the present embodiment, the grade is divided into 'sewage', 'common people', 'heavy water', 'coriander' and 'god', respectively, but this is exemplary.

According to this embodiment, step 611 includes maintaining at least one character image in a character database in association with each category and maintaining a rating in the character database corresponding to each of the at least one character image. 7 is a diagram illustrating an example of a character image stored in the character database. However, the illustration of the character image corresponding to the sewage and coriander grades is omitted.

As shown in FIG. 7, the character image corresponding to 'math' includes abacus associated with mathematics, and the character image corresponding to 'earth science' includes a globe. Maintain each grade corresponding to the character image. Therefore, the character database not only differs for each grade but also maintains a different character image for each associated category even with the same grade. Therefore, referring to the character associated with the user, it is possible to know in what field the expert is evaluated.

In addition, according to another embodiment of the present invention, the one or more character images may have different numbers of pixels constituting the character image according to a corresponding grade. That is, the higher the grade, the more beautiful the character image may be displayed in association with the second user by maintaining the character image having a larger number of pixels.

In addition, the step 613 is a step of determining the grade to which the category-specific point of the second user belongs to the reference to the predetermined storage device, and searching the character image corresponding to the category and the grade from the character database It includes.

For example, as shown in FIG. 4, the user kkue corresponds to the 'heavy water' grade because the point is 691 for the 'math' category, and corresponds to the heavy water grade as shown in FIG. 7, and the category is 'math'. As a character image related to, a character image indicated by an ellipse is retrieved. Accordingly, the searched character image may be displayed on the web page with the ID for the user kkue.

However, when a plurality of character images associated with the user are searched for the same user corresponding to a plurality of ratings for each category, a method of displaying only the character image corresponding to the highest rating, a field in which the user corresponds to one or more categories In the case of being selected as an expert, various methods, such as a method of sequentially displaying only character images corresponding to expert ratings at regular intervals, or a method of displaying a character image selected from the user as a representative character image among the plurality of searched character images This could be adopted.

As described above, a character image associated with a user selected as an expert is displayed, and further, a character image associated with a category corresponding to a field selected as an expert is displayed, thereby providing a differentiated service to a user selected as an expert. Can be.

In addition, the method of selecting an expert according to the present invention may further include various steps for providing a service differentiated from other users who are not selected as experts to a user who is elected as an expert. In the following, these steps will be described.

In the expert selection method according to an embodiment of the present invention, when the second user answers a question corresponding to a predetermined category, the second user may select the category based on a point corresponding to the category of the second user. Determining whether the expert is an expert in a field corresponding to a; and if the second user is an expert in a category corresponding to the category, displaying the second user's answer by an expert by a predetermined display method. Steps may be further included.

For example, if the user kkue answered a question corresponding to the 'math' category, as shown in FIG. 5, the user kkue was selected as an expert in the field corresponding to the 'math' category, and thus the user kkue's answer. Will be displayed differently than a normal user (a user who is not an expert in the field of 'mathematics'). Other users who have confirmed such a different display may know that the answer of the user kkue is an answer by an expert, and may read before other answers or have a higher trust than other answers.

According to another embodiment of the present invention, a method for selecting an expert enables other users to evaluate a question and an answer associated with a predetermined category made among users, and the user who evaluates corresponds to the category. If you are an expert in the field, you can give weights to the evaluation of users who are experts.

The expert selection system may receive an evaluation of the question or the answer from a third user in response to a question from the first user or an answer from the second user to the question. In this case, when the third user is an expert in a field corresponding to a category associated with the question or the answer, a weight may be assigned to at least one of the evaluation of the question and the evaluation of the answer. The expert selection system may display an evaluation of the question and an evaluation of the answer.

FIG. 8 is a diagram illustrating a state in which a result is displayed on the web page when other users evaluate the question about a question input from a first user. In the example illustrated in FIG. 8, as indicated by an ellipse, other users may evaluate 'Good' or 'Bad' for the first user's question, and + One point, 'Bad' can be expressed by -1 point for the overall evaluation results. In this case, when the question is a category corresponding to the 'computer' category, and a user selected as an expert in the 'computer' field evaluates to 'good', unlike the evaluation of users who are not experts in the 'computer' field A predetermined weight may be given, such as +3 points to be imposed. In FIG. 8, +13 indicates the evaluation result of each user described above. According to each embodiment, various evaluation methods other than the above-described method may be adopted.

According to another exemplary embodiment of the present invention, when the second user is selected as an expert in a field corresponding to a predetermined category, information related to the category from the second user regardless of other user's questions Can be input to display the information.

That is, the second user is given an opportunity to voluntarily provide information deemed to be necessary for other users as an expert in a field corresponding to the category. Information input from the second user who is an expert may be displayed with the fact that it is information provided by the expert. Thus, other users may have more confidence in the information provided by the expert than the information provided by non-experts in the field.

Expert selection method according to another embodiment of the present invention is an expert certificate for proving that the second user is an expert in the field corresponding to the category when the second user is selected as an expert in the field corresponding to a predetermined category Can be provided online. By providing the online expert certificate, it is possible to raise the honor of a user who is selected as an expert in the field, and to induce users to have more active questions, answers or evaluation activities by giving the intellectual satisfaction to the user.

Hereinafter, an expert election system capable of executing the above-described expert election method will be described.

9 is a block diagram illustrating an expert election system 900 in accordance with one embodiment of the present invention. The expert election system 900 includes a database 901, a point calculator 902, and an expert rating determiner 903. The expert selection system 900 may provide an answer to a user's question by using a communication network, and may select a user who has various evaluation data such as the number of answers and meets a predetermined criterion based on the evaluation data. Consists of.

Database 901 maintains an expert rating record corresponding to the user. The expert grade record may be configured as shown in FIG. That is, the expert grade record is determined based on a user identifier associated with the user to identify the user, a category related to a question, an answer, or an evaluation made by the user, evaluation data for calculating a point, points, and the point. Include expert ratings.

The evaluation data may include answer number information, which is a number of times that the user answered a question associated with the category, and answer number information, which is a number of times an answer to a question associated with the category of the user was adopted by the questioner of the question. Can be. According to an embodiment, the number of questions, for example, the number of times the user asks a question associated with the category may be added to the evaluation data.

The point calculator 902 calculates the point by a predetermined calculation method based on the evaluation data. Various calculation methods may be adopted, such as giving a predetermined weight to each evaluation data.

The expert rating determiner 903 determines the expert rating according to a predetermined expert rating rule according to the calculated points. That is, if the point is equal to or greater than a predetermined reference value, the user may be determined as an expert of the category. Further, according to an embodiment, the expert grade determiner 903 may place one or more grades based on detailed criteria even for points equal to or greater than the reference value. That is, the expert grade determination unit 903 may be selected as an expert when the point is 600 or more, and in particular, the grade may be distinguished within the expert by heavy water up to 600 to 899, and adherence up to 900 to 1199.

On the other hand, the expert selection system 900 may allow users to actively participate in online questions and answers by providing a service different from a non-expert user to a user who is selected as an expert as in the above-described method of selecting an expert. have.

According to another embodiment of the present invention, the expert election system 900 may further include a character database 904 and the display unit 905. The character database 904 stores one or more character images corresponding to the expert level for each category, and the display unit 906 displays the character image in association with the user and the category in the terminal 910 of the user. do.

Since the character image is stored in correspondence with the expert rating for each category and the user's category is determined to display the corresponding character image, the detailed description will be omitted. do.

According to still another embodiment of the present invention, the experts of a certain higher or all fields are determined based on points of a plurality of categories and the like within the scope of the technical idea of the present invention without determining the experts for each category.

Embodiments of the invention also include computer-readable media containing program instructions for performing various computer-implemented operations. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. The medium or program instructions may be those specially designed and constructed for the purposes of the present invention, or they may be of the kind well-known and available to those having skill in the computer software arts. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and magnetic disks, such as floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. The medium may be a transmission medium such as an optical or metal wire, a waveguide, or the like including a carrier wave for transmitting a signal specifying a program command, a data structure, or the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like.

10 is an internal block diagram of a general purpose computer system that may be employed to construct an expert election system or the like in accordance with the present invention.

Computer system 1000 includes one or more processors 1001 coupled with a main memory device including random access memory (RAM) 1002 and read only memory (ROM) 1003. The processor 1001 is also called a central processing unit (CPU). As is well known in the art, the ROM 1003 serves to transfer data and instructions to the CPU unidirectionally, and the RAM 1002 typically transfers data and instructions bidirectionally. Used to. RAM 1002 and ROM 1003 may include any suitable form of computer readable media. Mass storage 1004 is bidirectionally coupled to processor 1001 to provide additional data storage capability and may be any of the computer readable recording media described above. The mass storage device 1004 is used to store programs, data, and the like, and is a secondary memory device such as a hard disk which is generally slower than the main memory device. Certain mass storage devices, such as CD ROM 1006, may also be used. The processor 1001 may include one or more input / output interfaces such as video monitors, trackballs, mice, keyboards, microphones, touchscreen displays, card readers, magnetic or paper tape readers, voice or handwriting readers, joysticks, or other known computer input / output devices. Connected to 1005. Finally, the processor 1001 may be connected to a wired or wireless communication network through the network interface 1007. Through this network connection, the procedure of the method described above can be performed. The apparatus and tools described above are well known to those skilled in the computer hardware and software arts.

The hardware device described above may be configured to operate as one or more software modules to perform the operations of the present invention.

According to the present invention, there is provided a method and system for selecting an expert in a field online. When a question or an answer is made among users online, according to a predetermined criterion for each category corresponding to the question and answer based on objective evaluation materials such as the number of questions and answers input and the number of times the answer is selected. Elect experts.

In addition, according to the present invention, a user who asks a lot of questions and answers in a predetermined web page online, in particular, a user who has a high quality question or answer is elected as an expert in a field related to the category corresponding to the question and answer, and the user By providing a variety of ways of indicating that an expert has been selected, a method and system for selecting an expert are provided that can encourage users to actively participate in questions and answers.

The expert selection method and system according to the present invention allows a predetermined character image to be displayed on the web page in association with a user selected as an expert in a field corresponding to a predetermined category, and the character image is a character image associated with each category. By providing a user can be encouraged to actively participate in the questions and answers to users who want to display the character image associated with them.

Further, according to the present invention, by providing a service differentiated from a user who is not selected as an expert to a user who is elected as an expert, selecting an expert who can induce users to enjoy the service actively participate in questions and answers Methods and systems are provided.

In addition, according to the present invention, by selecting a user having a professional knowledge in each field as an expert in the field, to indicate that the user is an expert in various ways, by providing various benefits to the expert, It is possible to satisfy the desire to inform the knowledge of the users, and by inducing the active participation of the users who have expertise in each field by providing a response that users who do not have the specialized knowledge in a certain field easily You can get it.

As described above, the present invention has been described by way of limited embodiments and drawings, but the present invention is not limited to the above-described embodiments, which can be variously modified and modified by those skilled in the art to which the present invention pertains. Modifications are possible. Accordingly, the spirit of the present invention should be understood only by the claims set forth below, and all equivalent or equivalent modifications thereof will belong to the scope of the present invention.

Claims (22)

Receiving a question from a first user; Determining a category associated with the question; Presenting the question on a predetermined web page; Receiving an answer to the question from a second user; Increasing the number of answers associated with the second user corresponding to the category in response to the input of the answers; If the answer is selected from the first user, increasing the number of adopting answers associated with the second user corresponding to the category; Calculating a point associated with the second user corresponding to the category based on evaluation data including the number of answers and the number of adopting answers; And Electing the second user as an expert in a field corresponding to the category when a value that satisfies a predetermined criterion based on the points is equal to or greater than a predetermined reference value. Online selection method of experts comprising a. The method of claim 1, Electing to be an expert, Electing the second user as an expert in a field corresponding to the category when the point is equal to or greater than a predetermined reference value Online selection method of experts comprising a. The method of claim 1, Electing to be an expert, Electing the second user as an expert when a point associated with the second user falls above a predetermined rank in the category based on a point associated with each user corresponding to the category Online selection method of experts comprising a. The method of claim 1, Determining a category associated with the question, Receiving a category related to the question from the first user; And Determining the input category as a category related to the question Online selection method of experts comprising a. The method of claim 1, Determining a category associated with the question, Maintaining a category and one or more keywords associated with the category in a category database; Stemming the question to extract keywords; Identifying a category associated with the extracted keyword using the category database; And Determining the identified category as a category associated with the question Online selection method of experts comprising a. The method of claim 1, Computing a point associated with the second user corresponding to the category, Calculating an answer adoption rate that is a ratio of the number of answers and the number of answer adoptions; And Calculating the points based on the answer adoption rate Online selection method of experts comprising a. The method of claim 1, wherein the evaluation data, A number of questions that is a number of times a question associated with the category is input from the second user; A question incidence number that is a number of times a selection of an answer is not input from the second user within a predetermined period when a question associated with the category is input from the second user and an answer to the question is input from another user; And The number of service logins that is the number of times the second user logs in. And further comprising any one or more of the above. The method according to claim 1 or 7, The step of calculating a point associated with the second user corresponding to the category based on the evaluation data, Calculating the point by giving a predetermined weight for each evaluation data Online selection method of experts comprising a. The method of claim 1, Maintaining a character image in a character database in association with each category; Retrieving a character image corresponding to the category from the character database when the second user is selected as an expert in a field corresponding to the category; And Displaying the character image in association with the second user. The method of selecting an expert on-line further comprising a. The method of claim 9, Maintaining at least one rating according to said point in a given storage device; Maintaining the character image in the character database in association with each category, Maintaining at least one character image in a character database in association with each category; And Maintaining a rating corresponding to each of the one or more character images in the character database; Including, Searching for a character image corresponding to the category in the character database, Determining a class to which a point for each category of the second user belongs by referring to the predetermined storage device; And Retrieving a character image corresponding to the category and the grade from the character database Online selection method of experts comprising a. The method of claim 10, And the character image has a different number of pixels constituting the character image according to a corresponding grade. The method of claim 1, In response to the second user answering a question corresponding to a predetermined category, determining whether the second user is an expert in a field corresponding to the category based on a point corresponding to the category of the second user. step; If the second user is an expert in a field corresponding to the category, displaying the response of the second user by an expert according to a predetermined display method The method of selecting an expert on-line further comprising a. The method of claim 1, Receiving an evaluation of the question from the first user from a third user; Receiving an evaluation of the answer from the second user from the third user; If the third user is an expert in a field corresponding to a category associated with the question, weighting at least one of an evaluation of the question and an evaluation of the answer; And Displaying an evaluation of the question and an evaluation of the answer The method of selecting an expert on-line further comprising a. The method of claim 1, When the second user is selected as an expert in a field corresponding to the category, receiving information related to the category from the second user regardless of a question of another user; And Causing the information and the fact that the information is provided by an expert to be displayed according to a predetermined display method The method of selecting an expert on-line further comprising a. The method of claim 1, If the second user is elected as an expert in a field corresponding to the category, providing the second user with an expert certificate online to prove that the second user is an expert in the field corresponding to the category The method of selecting an expert on-line further comprising a. Receiving a question from a first user; Presenting the question on a predetermined web page; Receiving an answer to the question from a second user; Increasing the number of answers associated with the second user in response to input of the answers; If the answer is selected from the first user, increasing the number of answer responses associated with the second user; Calculating a point associated with the second user based on evaluation data including the number of answers and the number of adopting answers; And Electing the second user who meets a predetermined criterion based on the points as an expert Online selection method of experts comprising a. The method of claim 16, Selecting the second user as an expert, Electing the second user as an expert if the point is above a predetermined reference value, or Selecting the second user as an expert when the second user corresponds to a predetermined rank based on a point associated with each user Online selection method of experts comprising a. A computer-readable recording medium having recorded thereon a program for executing the method of any one of claims 1 to 7 or 9 to 17. In a system for providing a response to a user's question using a communication network, A database for maintaining an expert rating record corresponding to the user; A user identifier associated with the user, Category, Evaluation data, Points, and Specialist level Including-; A point calculator for calculating the point by a predetermined calculation method based on the evaluation data; And Expert rating determiner for determining the expert rating according to a predetermined expert rating rule according to the point Question answer providing system comprising a. The method of claim 19, The evaluation data, A number of answers, the number of times the user has answered a question associated with the category; And Answer adoption count, the number of times the user has answered the question associated with the category by the questioner of the question Question answer providing system comprising a. The method of claim 19, The expert rating determiner determines the user as an expert in the category when the point is equal to or greater than a predetermined reference value or when the user corresponds to a predetermined rank by comparing the point with a point associated with another user corresponding to the category. Question answer providing system, characterized in that determined by. The method of claim 19, A character database for storing one or more character images corresponding to the expert level for each category; And A display unit for displaying the character image in association with the user and the category Question answer providing system, characterized in that it further comprises.