KR101796220B1 - Method, search server and computer readable recording medium for determining ranking of stock-collection with stock exchange information - Google Patents

Abstract

The present invention relates to a securities collection ranking calculation method using stock transaction information, a search server, and a computer-readable recording medium. According to an aspect of the present invention, there is provided a method of calculating a stock collection rank performed by a search server, comprising the steps of: (a) collecting stock transaction information and analyzing collected stock transaction information; And (b) calculating the stock collection rank based on the collected stock transaction information.

Description

TECHNICAL FIELD [0001] The present invention relates to a securities collection rank calculation method using a securities transaction information, a search server, and a computer readable recording medium. BACKGROUND OF THE INVENTION [0002]

The present invention relates to a method of calculating a stock collection ranking using stock transaction information, a search server, and a computer-readable recording medium. More particularly, the present invention relates to A search server, and a computer-readable recording medium that can provide a search result by calculating a stock collection ranking by reflecting the occurrence of a stock related issue when a stock related issue occurs, a search server, and a computer readable recording medium.

Due to the development of information and communication technology, various services are provided on the Internet, and in particular, the Internet search service has been greatly activated. The Internet search service is an Internet search service in which a search server conducts a search for a search term transmitted from a user terminal according to a user's operation and searches for a search result corresponding to the received search term (a web site, a news file, , Stock information, geographical information, etc.) as a search result document (search result page) and provides the service to the user terminal.

In the early days, such a search service simply provided a search result in the form of listing the information including the received search word in a list format. However, this does not sufficiently take into consideration the characteristics of the information, and thus has a problem in that it can not sufficiently satisfy users' needs. In order to solve such a problem, a technique has been developed in which information searched corresponding to a search word is classified according to the characteristics of each information, and a search result document is generated / provided by grouping the searched information according to the classification criteria. In other words, a technique has been developed that can provide search results by classifying (clustering) the retrieved information according to a certain criterion so that the user can easily access the desired information. Here, The basic unit of search is called a 'collection' (or may be referred to as another word having the same meaning as a category).

FIG. 1 is an exemplary view of a search result page provided to a user in accordance with a conventional technology, in which search results are classified into 'collections'. As shown in FIG. 1, it can be seen that the search result is classified into 'stock collection' 10 and 'news collection' 20 and is provided to the user. In the case of the search service according to the related art using the above-mentioned collection concept, the search results searched for the received search words are classified into predetermined collections, and the search results classified into the corresponding collections in each collection are sorted As shown in FIG.

In addition, in the search service using the collection concept according to the related art, ranking (collection ranking) is applied not only to the search results in the collection but also to the collection itself, and a collection of a collection of 'website', 'news' The order of exposure can be changed according to the search word, the search point, and the like. That is, it is configured to provide convenience of search by analyzing the search behavior of the user and exposing a collection having a high possibility that the user includes a desired search result to the upper part. That is, the search service according to the related art exposes a collection containing search results selected by the user relatively to the upper portion among the search results for the same search term, and searches for a collection containing search results selected by the user By exposing relatively to the subordinate, a collection with a high probability of being selected by the user is preferentially exposed to the user. For example, in the case of a search term 'daylight saving time', users have a high demand for the meaning of daylight saving time and introduction background, so that knowledge iN collection and dictionary collection are arranged at the top. Because of the high demand for singing songs by the singer, the person information collection and the music information collection are arranged at the top.

However, in the search service according to the related art, the collection ranking collects the user's search behavior (user feedback), and the ranking is calculated for each collection. User feedback is an element that can be reflected after a user's intention is created or changed as a post-judgment. Therefore, since the post-judgment is applied, there is a problem that the collection ranking optimized for the user's intention can not be calculated while the user feedback is reflected. FIG. 2 is a flowchart showing a collection ranking calculation process of 'stock collection' according to the related art. Referring to FIG. 2, a collection ranking calculation process using user feedback according to the related art will be described. For convenience of explanation, it is assumed that ranking calculation is performed for the 'stock collection' for the keyword 'A automobile'. First, when an issue that affects the stock price of 'A automobile' (eg, announcement of a new car, expansion of a factory) occurs (S200), a lot of changes in stock trading of 'A automobile' (S202), and accordingly, when a user performs a search using a keyword 'A car', the users have a request for the stock information, not the automobile information produced by 'A car' Search is likely to be performed. However, when the user performs a search using the keyword 'A automobile' at the time when the issue occurs, the collection ranking is determined using the user feedback at the time when the issue does not occur, and the search result is provided to the user (S 204 ). In order for the generated issue to be reflected in the stock collection ranking, user feedback on the search result after an issue occurs is collected (S206), and the stock collection ranking is re-adjusted (S208) based on the collected user feedback. Therefore, a considerable time gap occurs between when the issue occurs and when the stock collection ranking is readjusted, thereby lowering the user's satisfaction with the search. That is, according to the related art, there is a problem that the search (S210) using the collection ranking in which issues are reflected can not be performed simultaneously with the issue occurrence or within a short time from the issue occurrence time.

On the other hand, Korean Patent Application No. 10-2009-0039997 (method and apparatus for providing search results using entropy scores) is a method of classifying search results for an input query into categories related to the query and providing the search results to a user A category associated with the input query is determined, and the documents including the query are extracted from the documents of the determined category. Then, the entropy score of the extracted document (the degree to which the information associated with the category is included) And sort the documents according to the ranking and provide them to the user. However, this prior art does not provide a concrete solution for determining ranking of a category, which is a description of document ranking determination within a specific category and which suggests the concept of a category. As a result, Can not be solved.

An object of the present invention is to solve the above-mentioned problems of the prior art.

An object of the present invention is to provide a securities collection system and a securities portfolio management system, which can determine the occurrence of securities-related issues through monitoring of securities transaction information and determine the ranking of securities collections by reflecting the occurrence of securities- A search method, a search server, and a computer readable recording medium.

Another object of the present invention is to provide a method and system for calculating a stock collection ranking using stock transaction information that can determine a ranking of a stock collection in accordance with a user's search intention by reflecting both stock issue issues and user feedback, And a computer readable recording medium.

In order to achieve the above-described object of the present invention and to achieve the specific effects of the present invention described below, the characteristic structure of the present invention is as follows.

According to an aspect of the present invention, there is provided a method of calculating a stock collection rank performed by a search server, comprising the steps of: (a) collecting stock transaction information and analyzing collected stock transaction information; And (b) calculating the stock collection rank based on the collected stock transaction information.

According to another aspect of the present invention, there is provided a search server for calculating a stock collection rank and providing a search result, the search server comprising: a stock transaction information collecting unit for collecting stock transaction information; And a collection ranking calculation unit for calculating the stock collection ranking based on the collected stock transaction information.

As described above, according to the present invention, it is determined whether or not a security-related issue is generated through monitoring of the stock transaction information, and when a security-related issue occurs, the ranking of the stock collection is determined to raise the user's satisfaction There is an effect that can be.

Also, according to the present invention, it is possible to increase the search satisfaction of the user by determining the ranking of the collection of securities corresponding to the user's search intention, reflecting both the issue-related issues and the user feedback.

FIG. 1 is an exemplary view of a search result page in which search results are provided to a user by collection; FIG.
2 is a flowchart showing a collection ranking calculation process using user feedback according to the related art.
3 is a configuration block diagram of an overall system according to a preferred embodiment of the present invention;
4 is a configuration block diagram of a search server according to a preferred embodiment of the present invention;
FIG. 5 is a flowchart illustrating a process of calculating a stock collection ranking performed by a search server according to an exemplary embodiment of the present invention. FIG.

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 the 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 detail with reference to the accompanying drawings, so that those skilled in the art can easily carry out the present invention.

[Preferred Embodiment of the Present Invention]

In the embodiment of the present invention, the term "collection" refers to a category according to the characteristics of search information matched with a search word. For example, the collection may be determined by the type of the database in which search information is structured and stored. It is not.

In addition, the term "collection ranking" is a term indicating the ranking of the collection in the search results, which means that the higher the collection ranking is, the higher is exposed in the search result. Hereinafter, the collection having the highest collection ranking score according to the collection ranking score is set to have the collection rank of the first rank that is exposed to the top, and the collection having the next collection ranking score is set to have the second rank collection ranking The embodiment will be described on the basis of the embodiment, but not limited thereto.

Complete system configuration

3 is a block diagram of the entire system according to an embodiment of the present invention. Hereinafter, the configuration and functions of the overall system according to the present invention will be described in detail with reference to FIG. 3, the overall system according to the present invention may include a user terminal 100, a network 110, an external server 120, and a search server 130. [

The user terminal 100 is connected to the search server 130 through the network 110 and transmits a search word input according to a user's operation to the search server 130 to request a search, 130, and outputs the search result. As described above, the search result transmitted from the search server 130 may be a web page including a plurality of search information classified by a collection. The user terminal 100 as described above may be a general personal information communication device and may be a desktop computer as well as a notebook computer, a workstation, a palmtop computer, a personal digital assistant (PDA) , A mobile communication terminal including a smart phone, and the like can be adopted as the user terminal 100 according to the present invention as long as it is a digital device equipped with a memory means and equipped with a microprocessor and having computation capability and data communication capability through a network have.

The external server 120 is a server for providing search information to the search server 130 through the network 110. The external server 120 directly provides the search server 130 with search information Or the search server 130 may be configured to collect search information from the external server 120 through a web crawling technique, or a combination of the two schemes may be used. More preferably, the external server 120 according to the present invention may include a securities-related server (for example, a securities company server) for providing securities transaction information. The external server 120 providing the securities transaction information can transmit the stock transaction information (stock disclosure information, stock price information, transaction amount information, transaction price information, etc.) to the search server 130 in real time and / .

The search server 130 receives a search word transmitted from the user terminal 100, extracts search information matching the received search word from the database 132 to generate search results, and transmits the search result to the user terminal 100 ) Of the search service. In the search service process, the search server 130 extracts a plurality of pieces of search information matched with the received search word, and performs a function of classifying the extracted pieces of search information according to their characteristics, according to the collection in which search information is to be included . According to the embodiment, when a separate database is constructed for each collection, the collection may be a database storing the search information. For example, the search server 130 may include a news database in which search information related to news is stored, a blog database in which search information related to blogs is stored, a knowledge iN database in which search information related to knowledge iN is stored, A Web site database storing information, and a stock information database storing search information related to securities, the extracted collection of search information can be classified into a collection according to a database in which the search information is stored. That is, the search information extracted from the news database is classified into a news collection, and the search information extracted from the stock information database is classified as a stock collection. Of course, the technique of classifying search information is not limited to the above description, and various modifications and alterations can be made. Accordingly, it is the scope of the present invention as long as the technical scope of the present invention is included. Will be apparent to those skilled in the art. After the plurality of retrieved pieces of retrieval information are sorted by the collection, the retrieval server 130 calculates the collection rankings for each collection, arranges the respective collections containing the retrieval information according to the calculated collection ranking, To the user terminal (100).

The search server 130 according to the present invention may be configured to receive the stock transaction information transmitted from the external server 120 and to calculate the collection ranking of the stock collection using the received stock transaction information have. That is, the search server 130 according to the present invention generally calculates the collection ranking for each collection by using the user's search behavior (hereinafter referred to as 'user feedback') as described above, and analyzes the received stock trading information If it is determined that the issue related to the securities is generated, the ranking of the securities collection may be calculated using the securities-related issues generated instead of the user feedback information only for the securities collection ranking. Accordingly, when a securities-related issue occurs, the search server 130 according to the present invention calculates the ranking of the collection of securities based on the generated stock-related issue (the ranking of the collection other than the collection of securities is calculated based on the user feedback information ), The search information can be configured according to the calculated ranking according to the collection, and the search satisfaction of the user can be improved. The details of the detailed configuration and the detailed configuration for calculating the stock collection rankings will be described later with reference to FIG.

Search Server  Configuration and function

4 is a configuration block diagram of a search server according to a preferred embodiment of the present invention. Hereinafter, the configuration and function of the search server according to the present invention will be described in detail with reference to FIG. 4, the search server 130 includes a stock transaction information collection unit 200, an issue occurrence determination unit 204, a user feedback information collection unit 202, a collection ranking calculation unit 206, A search processing unit 208, and a database 132. [

The stock transaction information collecting unit 200 according to the preferred embodiment of the present invention collects stock transaction information by receiving the stock transaction information transmitted from the external server 120 or by crawling the external server 120 . The stock transaction information collecting unit 200 according to the present invention may include stock price information, stock transaction amount information, stock transaction amount information, and disclosure information for all stocks currently listed and traded. Of course, according to the embodiment, it may be configured to collect only stock transaction information for a predetermined stock set. The collection of the stock transaction information by the stock transaction information collection unit 200 may be performed in real time, periodically or non-periodically according to the setting.

The issue occurrence determination unit 204 according to a preferred embodiment of the present invention is configured to analyze the stock transaction information collected by the stock transaction information collection unit 200 to determine whether or not an issue related to the stock has occurred . At this time, according to the embodiment, when the disclosure information related to a specific stock is newly registered, the issue occurrence determination unit 204 may be configured to determine that an issue about a specific stock has occurred, and / The fluctuation amount of the trading volume, and the fluctuation amount of the transaction price are equal to or more than the preset fluctuation width, it can be determined that the issue of the specific stock occurs.

In more detail, the issue occurrence determination unit 204 according to the present invention stores information about preset reference information (reference price fluctuation width, reference transaction volume fluctuation width, reference transaction price fluctuation width, etc.) to determine whether an issue has occurred And compares the received stock transaction information with preset reference information to determine whether or not an issue has occurred. For example, in an embodiment in which an occurrence of an issue is determined based on the fluctuation range of the stock price, and the fluctuation range of the reference stock price is set to 10% of the daily fluctuation range, the issue occurrence determination unit 204 analyzes the stock price information of all the stocks , It is judged that a securities issue has occurred for a stock whose stock price has risen by more than 10% or a stock whose stock price has decreased by more than 10%. According to an embodiment of the present invention, the type of security-related information and the setting value of the reference information for determining whether an issue has occurred can be variously modified and applied, and the present invention is not limited to the above- As long as they are within the scope of the present invention.

Meanwhile, according to the embodiment, the issue occurrence determination unit 204 according to the present invention may be omitted, or the function may be integrated into the collection ranking calculation unit 206, which will be described later. That is, in the case where the embodiment is configured so as to reflect the unconditional stock transaction information to the ranking calculation without determining whether or not an issue occurs in calculating the stock collection rank, the issue occurrence determination unit 204 may be omitted.

The user feedback information collection unit 202 according to the preferred embodiment of the present invention collects information on the user's search behavior for calculating the collection rankings of the respective collections in a general situation (i.e., a situation in which no stock related issue is generated) As components for gathering, one of various well-known algorithms for collecting user responses to search results may be employed as needed. For example, the user feedback information collection unit 202 according to the present invention may collect, as the user feedback information, the number of users who selected search information included in a specific collection among the users who input the same / similar search word.

The collection ranking calculation unit 206 according to a preferred embodiment of the present invention is configured to calculate a collection ranking for a plurality of collections to be included in the search result. The collection ranking calculation unit 206 according to the present invention is configured to calculate a collection ranking based on only the user feedback information collected by the user feedback information collection unit 202 for other collections except for the collection of securities, Is configured to calculate a stock collection rank based on stock trading information and / or user feedback information. Hereinafter, a method of calculating a collection collection rank by the collection ranking calculation unit 206 according to various embodiments of the present invention will be described.

1st Example

The collection ranking calculation unit 206 according to the first embodiment of the present invention can be configured to independently calculate the collection rankings other than the stock collection rankings and the stock collection lists when it is determined that a stock related issue has occurred. That is, the collection ranking calculation unit 206 according to the first embodiment first determines a stock collection rank based on the stock transaction information, and then, based on the user feedback information for each collection, And determines rankings for each of the collections excluding the rank determined by the stock collection rankings.

For example, when it is determined that a securities-related issue has occurred, in an embodiment configured to unconditionally determine a stock collection rank (for example, a first rank), the issue occurrence determination unit 204 determines If it is determined that an issue has occurred, the collection ranking calculation unit 206 is configured to first determine the ranking of the securities collection to be one rank. Thereafter, the collection ranking calculation unit 206 calculates the user feedback information for each collection in order to determine the collection having the remaining ranks (for example, in the case of the embodiment configured to expose the six collections, from grade 2 to grade 6) And determines a collection ranking for each of the collections in descending order of the calculated collection ranking score.

In an embodiment configured to calculate the stock collection rankings in proportion to the securities transaction information (at least one of the stock price fluctuation, the stock trading volume fluctuation, and the stock trading price fluctuation) in another embodiment, that is, , If the issue occurrence determination unit 204 determines that a stock related issue has occurred, the collection ranking calculation unit 206 calculates the stock collection ranking based on the collected stock transaction information. For example, the collection ranking calculation unit 206 according to the present invention determines whether or not an issue has occurred on the basis of the fluctuation range of the stock price, and if the fluctuation range of the reference stock is set / stored at 10% And determine the stock collection ranking as a preset rank according to the fluctuation range. FIG. 5 shows a collection collection ranking determination criterion of the collection ranking calculation unit 206 according to an embodiment configured as described above in Table 1 below. Table 1 is only an example for facilitating the understanding of the present invention, and the type of stock transaction information, the setting of the fluctuation range for judging, the setting of the stock collection rank according to the fluctuation range, and the like are variously modified / It should be understood that it is obvious to those skilled in the art to which the present invention pertains while remaining within the scope of the present invention.

Share price volatility Stock collection ranking Less than 10% per day Do not reflect issues,
Calculate the same as other collections based on user feedback information 10% ~ 12% per day 3 ranks 12% ~ 14% per day Second deposit More than 14% daily 1 rating

Accordingly, the collection ranking calculation unit 206 analyzes the collected stock transaction information, and if it is determined that the stock price of the specific stock has risen by 13%, the ranking of the stock collection is determined to be 2, and then, And ranking the collection rankings for the respective collections in the order of the calculated collections ranking points in the order of the first, third, and sixth grades.

Second Example

The collection ranking calculation unit 206 according to the second embodiment of the present invention can be configured to collectively calculate the collection rankings other than the stock collection ranking and the stock collection unlike the first embodiment described above. That is, the collection ranking calculation unit 206 according to the second embodiment calculates the stock collection ranking score using the user feedback information and the stock transaction information on the stock collection at the time of calculating the stock collection ranking, , And determines the collection ranking according to the calculated ranking score for each collection.

In the following, f ₁ (x) is assumed to be an algorithm for calculating the collection ranking score for the X collection. The collection ranking calculation unit 206 calculates a collection ranking score using f ₁ (x_user feedback information) for other collections excluding the collection of securities, and calculates f ₁ (securities_ (user feedback information, securities Transaction information)) to calculate a securities collection ranking score. That is, the collection rank calculation unit 206 may be configured to give a predetermined weight to the stock collection ranking score based on the user feedback information, in accordance with the stock transaction information, for the stock collection.

For example, in an embodiment configured to calculate the stock collection rankings in proportion to the stock trading information (at least one of the stock price fluctuation, the stock trading volume fluctuation, and the stock trading price fluctuation), the stock collection ranking score is calculated using the following equation .

Securities collection ranking score = f ₁ (securities_user feedback information) + f ₂ (securities transaction information)

Here, f ₂ (security transaction information) is an algorithm for calculating a weight in proportion to stock exchange information (fluctuation value). For example, when calculating a weight based on a fluctuation range of stock price, a weight according to f ₂ Can be calculated. Similarly, when the stock price is constructed to calculate the weight according to the fluctuation range and the fluctuation amount of the stock trading volume, the weight according to f ₂ (the fluctuation range of the stock price and the fluctuation of the stock trading volume) can be calculated. As a result of analyzing securities transaction information, as the volatility increases, the stock collection ranking increases because the weighted value added to f ₁ (security_user feedback information) increases when the stock collection ranking score is calculated. The above-described f ₂ (securities transaction information) may be independent or related to f ₁ (security_user feedback information). The following Table 2 f ₁ independent of f ₂ in the (stock _ user feedback information) (SEC information) will showing an example of a calculated reference, and Table 3 f ₂ associated to f ₁ (stock _ user feedback information) (Securities Transaction Information) calculation standard.

Share price volatility f ₂ (Share price fluctuation) Less than 3% a 3% to 6% b 6% to 9% c 9% to 12% d 12% or more e

In the example shown in Table 2, a predetermined weight is set according to the stock price fluctuation range period, and a period in which the stock price fluctuation width according to the result of analyzing the collected stock trading information belongs the weight set for shows an embodiment, which is determined as f ₂ (SEC information). Of course, f ₂ (stock trading information) may be adopted, for example, in which the stock price fluctuation width is used as a variable such as 'f ₂ (stock price fluctuation) = a * (stock price fluctuation width)'.

Share price volatility f ₂ (Share price fluctuation) Less than 3% f * f ₁ (Stock_User Feedback Information) 3% to 6% g * f ₁ (Stock_User Feedback Information) 6% to 9% h * f ₁ (securities_user feedback information) 9% to 12% i * f ₁ (securities_user feedback information) 12% or more j * f ₁ (securities_user feedback information)

In the embodiment shown in Table 3, a predetermined weight, which is multiplied by f ₁ (securities_user feedback information), is set according to the stock price fluctuation interval, And a value obtained by multiplying the weight set in the section in which the fluctuation of the stock price according to the result of analyzing the information is multiplied by f ₁ (securities_user feedback information) is calculated as final f ₂ (securities transaction information).

The embodiments described above with reference to Table 2 and Table 3 are illustrative examples for explanation, and f ₂ (securities transaction information) can be used as one of various known algorithms for calculating weights, And is not limited to a specific calculation algorithm.

Third Example

The collection ranking calculation unit 206 according to the third exemplary embodiment of the present invention calculates a collection ranking score for all collections including a collection of securities based on user feedback information, differently from the first and second exemplary embodiments described above, And to determine the final collection collection ranking so as to primarily determine each collection ranking according to the calculated collection ranking score and to adjust the primarily determined collection collection ranking based on the stock transaction information. Table 4 below is an example of the securities collection ranking adjustment standard according to the third embodiment.

Share price volatility Stock collection ranking adjustment Less than 10% per day Do not reflect issues,
No change in determined stock collection rankings 10% ~ 12% per day + 1 rating (limit 1 rating) 12% ~ 14% per day + 2 credits (limit 1 grade) More than 14% daily + Grade 3 (limit 1 grade)

For example, if the primary stock collection rankings determined on the basis of the user feedback information are grade 4 and the fluctuation range of the daily stock price is 13%, the collection ranking calculation unit 206 calculates 1 We decided to raise the second stock collection rank by 2 and finalize it as 2nd rank. According to the stock collection ranking improvement, we set the ranking of the first collection in the second rank and the rank of the third rank in the fourth rank. , And finally determine the ranking of all the collections.

The embodiments described with reference to Table 4 above are illustrative examples for explanation and one of various known algorithms can be adopted and used as needed to adjust the stock collection rankings calculated primarily, It is to be understood that the present invention is not limited to adjustment algorithms.

The search processing unit 208 receives the search word transmitted from the user terminal 100, extracts the search information matching the received search word from the database 132, and compares the received search word with the search keyword, according to the collection ranking determined by the collection ranking calculation unit 206 Arranges a plurality of collections to generate search information, and provides the search information to the user terminal 100. Since the search processing unit 208 itself employs a known technique, a detailed description thereof will be omitted.

4, each constituent unit (the stock transaction information collection unit 200, the user feedback information collection unit 202, the issue occurrence determination unit 204, the collection ranking calculation unit 206, Processing unit 208) may be implemented in one machine, or some or each of them may be physically implemented in another machine, or a plurality of physically existing machines having the same function may be present in parallel. It will be apparent to those skilled in the art that the present invention can be embodied in various ways without departing from the spirit and scope of the present invention.

Securities Collection ranking  Example of the calculation process

FIG. 5 is a flowchart illustrating a procedure for calculating a stock collection rank performed by a search server according to an exemplary embodiment of the present invention. Hereinafter, the process of calculating the stock collection ranking in the search server 130 according to the present invention configured as described above with reference to FIG. 5 will be described in detail.

First, the search server 130 receives a search word transmitted from the user terminal 100, extracts search information including the received search word, and determines whether at least one of the extracted search information is classified as a stock collection . In a case where at least one of the extracted search information corresponds to search information to be included in the stock collection, the search server 130 is configured to perform a series of processes according to the present invention for calculating a stock collection ranking, If any of the information does not correspond to the search information to be included in the stock collection, a general collection ranking calculation process is performed to generate / provide the search result.

If at least one of the extracted search information corresponds to the search information to be included in the stock collection, the search server 130 collects the stock transaction information (S500). Of course, the stock transaction information by the search server 130 may be configured to be collected in real time or periodically irrespective of the above-described event occurrence. In this embodiment, the search server 130 performs a function of extracting the latest stock transaction information collected / stored in step S500.

When the stock transaction information is collected or extracted, the search server 130 calculates the exchange information on the stock transaction using the stored stock transaction information (S502), and determines whether or not the stock related issue is generated (S504). For example, in an embodiment configured to determine whether or not a security related issue occurs according to the fluctuation range of daily stock price, the search server 130 compares the stock price at the time when the query is received (or the received date) The stock price fluctuation is calculated, and if the calculated stock price fluctuation width is compared with the preset reference stock price fluctuation width and the calculated stock price fluctuation width is equal to or more than the set standard, it is judged that a securities related issue has occurred. According to an embodiment of the present invention, the search server 130 may receive exchange transaction information including exchange transaction information from the external server 120 without calculating additional transaction information, .

If it is determined that a security related issue has not occurred, the search server 130 calculates a stock collection ranking according to a stock collection ranking calculation algorithm based on general user feedback information (S508).

On the other hand, when it is determined that a securities-related issue has occurred, the search server 130 searches for securities based on the stock transaction information and / or the user feedback information according to one of the first to third embodiments described above The collection ranking is calculated (S506).

When the collection rankings for all the collections to be included in the search results including the stock collection are determined, the search server arranges a plurality of collections including search information according to the determined collection rankings, generates search information, And provides the search service to the terminal 100 (S510).

In the above-described embodiments, the security collection ranking calculation algorithm is configured to calculate the stock collection ranking by selecting one of the general securities collection ranking calculation algorithm and the securities collection ranking calculation algorithm reflecting the generated issue according to the occurrence of securities related issues. However, It may be configured to calculate the stock collection rankings by unconditionally reflecting the securities transaction information without separately determining whether the issue of securities is generated as described below.

Embodiments according to the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the medium may be those specially designed and configured for the present invention or may be available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as a hard disk, a floppy disk, and a magnetic tape; optical media such as CD-ROM and DVD; magnetic recording media such as a floppy disk; Includes hardware devices specifically configured to store and perform program instructions such as megneto-optical media and ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

As described above, the present invention has been described with reference to particular embodiments, such as specific elements, and specific embodiments and drawings. However, it should be understood that the present invention is not limited to the above- And various modifications and changes may be made thereto by those skilled in the art to which the present invention pertains.

Accordingly, the spirit of the present invention should not be construed as being limited to the embodiments described, and all of the equivalents or equivalents of the claims, as well as the following claims, belong to the scope of the present invention .

100: user terminal 110: network
120: external server 140: search server
200: Stock transaction information collection unit 202: User feedback information collection unit
204: Issue occurrence determination unit 206: Collection ranking calculation unit
208:

Claims (17)

A method for calculating a stock collection rank performed by a search server,
(a) collecting securities transaction information and analyzing collected stock transaction information; And
(b) calculating the stock collection ranking based on the collected stock transaction information,
The securities collection rankings are rankings of exposure of the securities collection among the search results,
Wherein the step (b) includes analyzing the collected stock transaction information to determine whether or not a stock related issue has occurred, calculating the stock collection ranking based on the collected stock transaction information only when a stock related issue occurs, Wherein the stock collection ranking is calculated so as to be proportional to the fluctuation range of the stock transaction information having a fluctuation range greater than or equal to a preset fluctuation range. delete The method according to claim 1,
Wherein the securities transaction information includes at least one of stock price information, transaction amount information, transaction price information, and disclosure information. The method of claim 3,
Wherein the step (b) comprises determining that a securities-related issue occurs when new disclosure information is registered.
The method of claim 3,
Wherein the step (b) determines that a securities-related issue has occurred when at least one of the fluctuation of the stock price, the fluctuation of the stock trading volume, and the fluctuation of the stock trading price is equal to or greater than a preset fluctuation width.
The method according to claim 1,
The method of claim 1, wherein the step (b) comprises the step of: determining the security collection ranking as one level when it is determined that the security-related issue has occurred. delete The method according to claim 1,
Wherein the step (b) calculates the stock collection rankings based on the collected stock transaction information and the user feedback information.
A computer-readable recording medium having recorded thereon a program for carrying out the method according to any one of claims 1, 3 to 6, and 8. A search server for calculating a stock collection rank and providing search results,
A stock transaction information collecting unit for collecting stock transaction information;
A collection ranking calculation unit for calculating the stock collection ranking based on the collected stock transaction information; And
An issue occurrence judging unit for analyzing the collected stock transaction information to judge whether a securities related issue occurs;
Lt; / RTI >
The stock collection ranking is a ranking in which a stock collection is exposed in the search result,
The collection ranking calculation unit calculates the stock collection ranking based on the collected stock transaction information only when it is determined that a stock related issue has occurred, and the collection ranking calculation unit calculates the stock collection ranking based on the collected stock transaction information, And calculates the value to be proportional to the variation range. delete The method of claim 10,
Wherein the stock transaction information includes at least one of stock price information, transaction amount information, transaction price information, and disclosure information. The method of claim 12,
Wherein the issue occurrence determination unit determines that a securities related issue has occurred when new disclosure information is registered.
The method of claim 12,
Wherein the issue occurrence determination unit determines that a security related issue has occurred when at least one of the fluctuation of the stock price, the fluctuation of the stock trading volume, and the fluctuation of the stock trading price is equal to or greater than a preset fluctuation width.
The method of claim 10,
Wherein the collection ranking calculation unit determines the security collection ranking as a first rank when it is determined that the security related issue has occurred. delete The method of claim 10,
The search server may further include a user feedback information collection unit for collecting feedback information of a user on a search result provided to the user by the search server,
Wherein the collection ranking calculation unit calculates the stock collection ranking based on the collected stock transaction information and the user feedback information.

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