KR101655368B1 - Method and system to search and provide shopping postscript - Google Patents

Abstract

The present invention relates to a method and system for searching and providing for shopping reviews. According to one aspect of the present invention, there is provided a shopping late search and provision method, comprising: collecting a predetermined web page by a collection unit; extracting the link address when the collected web page includes a link address; Determining whether the extracted link address is matched with any one of the goods information stored in the database by the pattern matching unit, and if the extracted link address is matched, And verifying whether the collected predetermined web page is a shopping list.

Description

[0001] METHOD AND SYSTEM FOR SEARCH AND PROVIDE SHOPPING POSTSCRIPT [0002]

The present invention relates to a method and system for searching and providing shopping reviews. More specifically, the present invention relates to a method and system for searching and collecting various shopping reviews uploaded to a user as a result of purchasing and using a specific product through shopping, The present invention relates to a method and system for searching for and providing a shopping late term that can be provided to a user who intends to purchase the product.

With the spread of the Internet, the market size of e-commerce is continuously increasing, and buyers are shopping and purchasing goods at the Internet shopping mall, which is a virtual space, without visiting the offline stores. These e-commerce transactions are becoming a form of major commercial transactions because sales and purchasing activities are free of time and place, and can reduce the cost of sales and purchasing. These Internet shopping malls are divided into two types: open market where the goods are sold directly by the shopping mall, or open market where various sellers sell the goods by their own name through one Internet shopping mall.

However, in the case of purchasing through the Internet shopping mall, the buyer directly operates the corresponding product or purchases the product based on only simple product information without looking directly at the user. Therefore, in each Internet shopping mall, To provide an interface to leave a shopping review. In other words, a shopping review can be a forum for first purchasers to leave various opinions on the product, while it is also possible for a person who wants to purchase the product to refer to a shopping review for the product, It also plays a role as an important reference point for determining the product purchase. Particularly, when purchasing new products, it tends to read and buy the shopping items of the customers who purchased the products before themselves.

However, it is very rare for buyers to visit the corresponding product column of the Internet shopping mall after completing the purchase. Therefore, in the shopping shopping column of the Internet shopping mall, Or the initial state of the product, so that such a shopping review does not greatly contribute to the purchase decision of the product even for a potential buyer.

On the other hand, most buyers often use a purchased product for a certain period of time to record various opinions on the goods in their own personal space or on social sites such as blogs, cafes, or mini-homepages. However, in the conventional search engine, it is only possible to search only when the approximate title or the product name of the product matches, and it is a reality that the potential buyer can not provide only a shopping review for a desired product.

Therefore, rather than a shopping mall provided by a shopping mall site, shopping malls are searched and collected on the Internet for shopping malls in the true sense that buyers use the products for a certain period of time and posted their opinions through various spaces on the Internet By providing to potential buyers, there is a growing demand for services that can be referred to in purchaser's purchase decision.

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

One object of the present invention is to identify and collect various types of shopping reviews posted on the Internet through search, and to build late shopping items for specific products.

Another object of the present invention is to provide potential shoppers with various types of collected shopping reviews posted on the Internet related to a specific product so as to be able to provide practical assistance to potential buyer's purchasing decisions.

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 one aspect of the present invention, there is provided a shopping late search and provision method, comprising: collecting a predetermined web page by a collection unit; extracting the link address when the collected web page includes a link address; Determining whether the extracted link address is matched with any one of the goods information stored in the database by the pattern matching unit, and if the extracted link address is matched, And verifying whether the collected predetermined web page is the latest shopping day.

At this time, the information stored in the database is accessed by the shopping information searching unit by referring to the shopping mall information stored in advance and accessing a specific shopping mall web page and judging whether or not to register a new product. If a new product is registered, A step of extracting shopping information from a specific shopping mall web page and judging whether or not the goods information matches at least one of the goods information stored in advance on the basis of the extracted shopping information; And is performed through the execution of an updating step.

Meanwhile, the pre-stored shopping mall information includes a shopping mall web page URL pattern and a final collection item number, and the specific shopping mall web page stores a value obtained by adding a predetermined numerical value to the last collected product number to the shopping mall web page URL pattern And the determination of whether to register the new product is determined based on whether or not it receives an HTTP status code 404 error in response to the connection.

Meanwhile, the step of extracting the shopping information may further include extracting only a noun in the case of Hangul in the specific shopping mall web page, and extracting the noun in the specific shopping mall web page without dividing the word into the shopping information when foreign words and special characters are included .

In one embodiment, the step of judging whether or not at least one of the pre-stored goods information matches the extracted shopping information may further include a step of determining whether or not the extracted shopping information includes a product code or a product name of the pre- A first determination step of determining whether the set of words parsed from the detailed description includes a certain value or more; and a second determination step of determining whether the extracted shopping information includes seller information of the stored product information at a predetermined value or more And finally determining whether the extracted shopping information matches at least one of the stored product information based on at least one of the first and second determination steps.

In addition, the step of updating the product information of the database based on the extracted shopping information may include a step of, when one or more pieces of product information that do not coincide with each other exist , And updating the one or more pieces of merchandise information that do not match based on the extracted shopping information.

If the at least one of the host, the directory, the file name, the specific parameter, and the value included in the extracted link address coincides with the product URL information stored in the database, the step of determining whether or not the matching is matched The method of claim 1, wherein the step of verifying whether the web page is a shopping web site comprises the steps of: parsing the content of the collected web page; deriving a property value of each predefined characteristic based on the parsed web page content; And finally determining whether or not a shopping list is available based on a characteristic value of each of the derived characteristics, wherein each of the predefined characteristics includes an image characteristic, a product name characteristic, a product code characteristic, Characteristic or late related term property.

Here, the characteristic value for the image characteristic may include determining whether an image is included in the collected web page, comparing the image and the image of the product information stored in the database when the image is included Wherein the characteristic value of the product description characteristic has any value among no image, no related image, the same image as the image stored in the database, or an image stored in the database, The method comprising the steps of: determining whether a set of words included in the detailed description of a product is included in a predetermined value or more in comparison with the content of the parsed web page, The property value for the associated term property is determined by the parsed web Comprising the steps of: constructing a set of remaining words in a content of a page except for a word included in a product name and a detailed description of the product in the product information stored in the database; A step of determining whether or not it is appeared.

In addition, the step of finally determining whether or not to review the shopping web may further include storing, by the verification unit, information on the predetermined web page in the database as shopping late information, when the predetermined web page is determined as a shopping web page .

According to another embodiment of the present invention, the shopping-after-shopping providing method includes the steps of receiving, by the shopping shopping search unit, a query word from a user, searching shopping database information associated with the received query word from the database, And providing the searched one or more pieces of shopping late information when at least one shopping late information is searched as a result.

According to another aspect of the present invention, a shopping review system includes a collection unit for collecting a predetermined web page, an extraction unit for extracting the link address when the collected web page includes a link address, And a verification unit for verifying whether the collected web page is a shopping list if the extracted link address is matched.

In this case, the verifying unit parses the collected contents of the predetermined web page, derives property values for each property defined in advance on the basis of the contents of the parsed web page, And a function of finally determining whether or not to review the shopping based on the property value for the property.

On the other hand, the shopping late search system receives the query term from the user and searches the database for shopping late information associated with the received query term, and provides the searched one or more shopping late information when one or more shopping late information is searched And a shopping review section.

As described above, according to the present invention, it is possible to identify and collect various types of shopping reviews posted on the Internet through search, and to build late shopping items for specific products.

Further, according to the present invention, it is possible to provide potential purchasers with only collected collected shopping reviews in various formats displayed on the Internet related to a specific product, thereby providing practical assistance to potential purchasers' purchasing decisions.

1 is a diagram schematically showing a configuration of an entire system including a shopping review system according to an embodiment of the present invention.
2 is a detailed configuration diagram of a shopping late service providing system according to an embodiment of the present invention.
FIG. 3 is a diagram showing the configuration of a database according to an embodiment of the present invention divided into separate DBs according to the data.
4 is a diagram showing respective data structures for a separate DB in which a database according to an embodiment of the present invention is classified according to the data.
5 is a flowchart illustrating a method for collecting new goods information according to an embodiment of the present invention.
6 is a flowchart illustrating a shopping review method according to an exemplary embodiment of the present invention.
7 is an exemplary view showing a shopping review screen collected by the shopping review service providing system according to an embodiment of the present invention.
Figure 8 is a flow diagram illustrating a method for providing a user with a shopping experience in accordance with one embodiment of the present invention.

The following detailed description of the invention refers to the accompanying drawings, which illustrate, by way of illustration, specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. It should be understood that the various embodiments of the present invention are different, but need not be mutually exclusive. For example, certain features, structures, and characteristics described herein may be implemented in other embodiments without departing from the spirit and scope of the invention in connection with an embodiment. It is also to be understood that the position or arrangement of the individual components within each disclosed embodiment may be varied without departing from the spirit and scope of the invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is to be limited only by the appended claims, along with the full scope of equivalents to which 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 " after-shopping "should be interpreted broadly to include the fact that a user who has been provided with a specific product through the Internet shopping mall has expressed his / her opinion on the product. Such facts or opinions may include, but are not limited to, the purchase or delivery of the product, the delivery of the product, the appearance of the product, the performance of the product, the recommendation of the product, May be included later.

Complete system configuration

1 is a schematic view of an entire system including a shopping review system according to an embodiment of the present invention.

1, the overall system according to an exemplary embodiment of the present invention includes a shopping post providing system 100 including a database 300, a plurality of user terminal devices 400 and a plurality of And is connected to the web server 500 of FIG.

According to an embodiment of the present invention, first, the shopping review service providing system 100 accesses a plurality of web servers 500 to collect various web pages, And stores it. In addition, the shopping shopping late offering system 100 according to the embodiment of the present invention receives post-shopping related information for searching for a shopping shopping post, such as a product name and a product model name, from the user terminal 400, From the database 300, and provides a shopping review period to the user terminal device 400 if it exists. The shopping review service providing system 100 may provide a shopping review as a part of the integrated search result, or may perform a function of providing only a shopping review. In addition, according to another embodiment of the present invention, the shopping-service-providing system 100 may be physically divided into a plurality of devices separately for each function. The detailed components and detailed functions of the shopping review system 100 will be described later.

In addition, according to an embodiment of the present invention, the communication network 200 may be configured without regard to its communication mode such as wired and wireless, and may be a personal area network (PAN), a local area network , A metropolitan area network (MAN), a wide area network (WAN), and the like.

Also, according to an embodiment of the present invention, the database 300 may include various data that can be used for late shopping collection and shopping shopping availability determination, and also stores information determined as late shopping, Or may be provided at the time of a shopping shopping search using the device 400. Detailed database classification of data types that can be stored in the database 300 will be described later.

Meanwhile, the user terminal 400 according to an embodiment of the present invention includes an input / output device (not shown) including a function for connecting to the shopping late service providing system 100 through the communication network 200 in order to receive a shopping review, And includes memory means such as a desktop computer as well as a mobile communication terminal including a notebook computer, a workstation, a palmtop computer, a personal digital assistant (PDA), a web pad, and a smartphone Any number of digital devices equipped with a microprocessor and capable of computing can be adopted as the user terminal device 400 according to the present invention. Preferably, the web browser is connected to the shopping review service providing system 100, and a web browser in the user terminal device 400 is operated and used to receive a shopping review by inputting or selecting late information related to the user to receive a shopping review. But is not limited thereto.

Finally, if it can include a web page containing a shopping review, all of them can be understood as a web server 500 according to an embodiment of the present invention, and the web server 500 can access And provides the web page to be collected by the shopping review system 100 through the web page.

Shopping

2 is a detailed configuration diagram of a shopping late service providing system 100 according to an embodiment of the present invention.

2, a shopping review system 100 according to an exemplary embodiment of the present invention includes a collecting unit 110, an extracting unit 120, a pattern matching unit 130, a verifying unit 140, Unit 150 and a shopping review unit 160.

The collecting unit 110 according to an embodiment of the present invention visits a huge web page stored in the web server 500 through the communication network 200 and performs a known function of automatically collecting various information including a shopping review And may include known functionality that operates on a variety of names, such as spiders, robots, web aggregators, robotic agents, web crawlers, and the like. The various information including the shopping history collected by the collecting unit 110 may include the URL of the web page and the content of the web page (contents that can be displayed in the source code of the web page and the web browser) It is not.

The extraction unit 120 according to an exemplary embodiment of the present invention determines whether specific information is included in the information collected by the collection unit 110. If the information includes the determination result, (130). The extracting unit 120 may include a link address included in the content of the web page as an example of specific information for determining whether to be included or extracted, but is not limited to a link address. When the specific information is a link address, if the web page is configured in the HTML language among the collected information as a specific example for determining whether the link address which is specific information is included by the extracting unit 120 and extracting it, (A) is included in the HTML code that is the source code of the anchor tag, and if the anchor tag is included, extracts a value corresponding to the attribute HREF as the specific information, 130, but it is not limited thereto, and it is also possible to determine whether specific information is included or not by using another known example.

When receiving specific information from the extracting unit 120, the pattern matching unit 130 according to an embodiment of the present invention determines whether the specific information is matched with the product information of the Internet shopping mall stored in advance using the received specific information. In the specific example where the received specific information is a link address, the pattern matching unit 130 compares the received link address with the same host (host) and directory (not shown) in comparison with the product URL DB , The file name, and the parameters included in the link address are matched (matched), it can be determined as the same product information as the corresponding product stored in the product URL DB. However, It is possible to determine whether the specific information is used for matching with the product information of the Internet shopping mall. The function of storing the product information in the product URL DB is performed through the shopping information searching unit 150 as described later. When it is confirmed through the pattern matching unit 130 that the product information matches with the specific product information of the Internet shopping mall, It is highly likely that the information collected by the unit 110 is the latter of the shopping. Therefore, the information is notified to the verifying unit 140, and the verifying unit 140 finally judges whether or not the latter is the latter.

The verification unit 140 according to an exemplary embodiment of the present invention may include the specific information when receiving the notification that the specific product information of the Internet shopping mall matches the specific product information stored in advance using the received specific information through the pattern matching unit 130 The information collected by the collecting unit 110 is finally judged as to whether or not the collected information is the latter of the shopping. Various methods can be used to determine whether it is a shopping period or not, and illustratively the method described below may be used.

The verifying unit 140 analyzes the information collected by the collecting unit 110, obtains values for each characteristic defined in advance from the analyzed result, and finally determines whether it is the latter of the shopping based on the analyzed characteristics. Each predefined characteristic means a characteristic analyzed in various directions and perspectives in order to determine the probability that the collected information is the latter of the shopping, and examples thereof include an image characteristic, a product name characteristic, a product code characteristic, a product description characteristic, Characteristics, and the like, but are not limited thereto.

First, the image characteristic indicates whether or not the collected information includes an image, and if it is included, whether it is an image or not. If the image is not an image related to the product information, if the image matches the product image, . ≪ / RTI > In the case where the image is not included, the analysis may be performed when the information collected by the verification unit 140 is pure text type information that does not include an image. If the image is included in the collected information, If there is at least one coincidence with the image of the goods stored in the product DB (not shown) included in the product DB, it may correspond to the product image. Even if the image does not match the product image, it is determined whether the image included in the collected information includes a product image stored in the product DB (for example, an image of the product) using the known Scale-invariant feature transform A case in which a product image is taken together with a background, and the like), the product image may be included. The algorithm used for image comparison in the present invention is not limited to SIFT, and it will be obvious to a person skilled in the art to determine the characteristics of the image included in the collected information using other known algorithms.

Next, a procedure for parsing the collected information prior to the determination of the product name characteristic or the like may be preceded. The parsing means a task of decomposing each sentence into meaningful components to extract the decomposed words in order to analyze the collected information. The parsing can be performed according to preset conditions and methods. The parsing method used in the present invention In the case of Hangul, only nouns are extracted (except for investigation). In the case of verbs, they are changed to basic types and extracted. In addition, when foreign words and special characters are included, words are not extracted (In the case of foreign words and special characters, it may be used as a product code or a product name, so that it can be extracted for accurate comparison). However, the parsing method that can be used in the present invention is not limited to the case described above. Can be used to determine if collected information is a shopping It is well known that various modifications can be made by those skilled in the art in order to set the most appropriate parsing scheme.

The verification unit 140 determines whether or not the product name, the product code, and the detailed description of the product are included in the product DB stored in the product DB, with respect to the set of parsed words (hereinafter, referred to as a first set) A value corresponding to the product name characteristic, the product code characteristic, and the product explanation characteristic can be obtained. In the case of the merchandise name characteristic and the merchandise code characteristic, it is possible to determine whether the merchandise name and the merchandise code exist in the first set, and to have one of two values of existence or non-existence. However, in the case of the product description characteristic, the value can be obtained through a more complicated process. The verifying unit 140 extracts nouns only in case of Hangul after separating the sentences into words from the detailed description of the goods stored in the product DB, and parses the words as they are without separating them when foreign words and special characters are included A method of extracting a set of words (hereinafter referred to as a " second set ") and determining how many words included in the second set are included in the first set. Thus, in the case of a product description characteristic, it may have a property value for the included percentage, or may be set in advance (for example, 50%) for a percentage included, , The inclusion may be made to have one of the two values of inclusion or not inclusive if the percentage is less than the specified value.

In order to obtain a characteristic value for a later-related term characteristic, the verification unit 140 may be configured to perform a first set of target values or a second set of words including a product name or a word included in the product description in the first set, (Not shown) included in the database 300 with respect to a set of the remaining words (hereinafter, referred to as a 'third set') excluding the words corresponding to the first word Can be determined. A shopping review is an article that expresses a personal explanation or opinion according to the purchase, use, etc. of a product. Therefore, words of a specific pattern such as' buy ',' recommend ',' deliver ',' . The late term related term feature uses this feature, and the verifying unit 140 includes words corresponding to the first set or the third set, for example, 'bad', whether or not they are included in the conventionally stored shopping review The number of exposures or frequency of exposure to how often it appears can be used as a property value for the word, and the set of the word is collectively referred to as a late related term characteristic. Alternatively, the late related term characteristic may be a characteristic value of at least one of a processed value of a characteristic value for each word, for example, an average, a maximum / minimum value, a ratio, etc., of the number of exposed words or the number of times of exposure And it is to be understood that various values can be taken as their characteristic values by the design method of the ordinary engineer.

The verifying unit 140 finally determines whether the information collected using the characteristic value of at least one characteristic obtained as a result of analyzing the information collected by the collecting unit 110 is the latter of the shopping. A set of independent characteristic values obtained by performing under the same assumptions as the well-known Fisher's method and the Naive Bayesian algorithm to determine whether a set of all characteristics is contained in a specific criterion (late shopping period) using characteristic values for each characteristic It will be apparent to those of ordinary skill in the art that various computation schemes may be used to combine and combine to yield a combined probability.

When the information collected by the collecting unit 110 is finally determined as a shopping term, the verifying unit 140 may further perform a function of updating the related information to the review DB of the database 300. [

The shopping information searching unit 150 according to an embodiment of the present invention accesses the shopping mall site at the time of occurrence of a specific event or in real time to determine whether a product to be newly sold exists, And updates the shopping information including the related information in the database 300. [

3, the database 300 according to an exemplary embodiment of the present invention includes information related to an Internet shopping mall for selling goods, information on goods to be sold, Information about the seller who sells the product, and a space for storing shopping-related information. 3, the product URL DB 310, the Internet shopping mall DB 320, the seller DB 330, the product DB 340, and the shopping mall DB 340 are provided for ease of explanation according to the type of information to be stored. But it is to be understood that the present invention is not limited thereto and that additional DBs other than the DBs listed above may be further added or only a part of the DBs may be used, It can be implemented and stored as a separate physical database for each group according to the type of information logically divided or stored according to the type of information stored in one database, it is possible to store general knowledge in the field of the present invention It is obvious to those who have.

First, according to an embodiment of the present invention, a product URL DB 310 that can be included in the database 300 includes information on a product being sold in the Internet shopping mall. As shown in FIG. 4A, A URL address, a unique ID of a commodity related to a commodity, and a unique ID of a seller associated with a commodity seller in the case of an open market, but the present invention is not limited thereto.

The Internet shopping mall DB 320, which can be included in the database 300 according to an embodiment of the present invention, includes information on various Internet shopping malls. As shown in FIG. 4B, The name of the Internet shopping mall, the URL pattern of the web page linked to the product information in each Internet shopping mall, and the information on the product collected last time, but the present invention is not limited thereto.

Next, the seller DB 330 according to the embodiment of the present invention includes specific information related to the seller in the case of an open market. As shown in FIG. 4C, the seller DB 330 includes a unique ID of the seller, , E-mail, wire number, mobile phone number, etc., the name or nickname used in the shopping mall, the name of the shopping mall in the open market, and the like, but is not limited thereto.

As shown in FIG. 4D, the product DB 340 according to the embodiment of the present invention stores information on a product. The product DB 340 stores specific information related to the product, such as a product name, a product code, Description, product image, and the like as its field, but is not limited thereto.

Lastly, in the shopping review DB 350 according to the embodiment of the present invention, information judged by the verifying unit 140 as the latest shopping review is stored, and as shown in FIG. 4E, ID, the URL address of a shopping review collected from the collection unit 110, a unique ID of a product for searching for goods and seller information related to the shopping review, a unique ID of a seller, and a collected date as its fields But is not necessarily limited thereto.

The shopping information searching unit 150 according to an embodiment of the present invention can search the shopping information searching unit 150 from the Internet shopping mall DB 320 by referring to the detailed configuration of the database 300 described above, The web page URL pattern of the received Internet shopping mall, and finally the collected product information, it is possible to search whether a new product is registered. For example, the shopping information searching unit 150 searches the Internet shopping mall database 320 (320) using the product registration pattern of the Internet shopping mall, which registers a new product by using new product information in which a certain number of items are collected, ) Is a method of judging whether there is a corresponding web page by attempting to access a URL which is assigned to a web page URL pattern of the Internet by using a new number which is increased by a predetermined number, A specific field of the Internet shopping mall DB 320 related to the new product registration pattern of each Internet shopping mall and a specific field of the shopping mall DB 150 related to the new product registration pattern of the shopping shopping mall 150 may be searched, It is well known to those skilled in the art that the manner of implementation of the registration / non-registration search function can be changed.

If it is found that a new product is registered, the shopping information searching unit 150 according to an embodiment of the present invention collects product information and seller information from a web page corresponding to a web page URL of an attempted Internet shopping mall, 310), and if necessary, updates the seller DB 330 and the goods DB 340. As a specific example, the shopping information searching unit 150 parses the contents of the connected web page and then stores the product code of the product DB 340 in which the set of parsed words is stored in advance, When the set of parsed words is included at a certain rate, for example, 50% or more, it can be determined that the product is the same as the pre-stored product. However, the present invention is not limited to this method. It is possible to judge whether or not the same product is used by using another method. In addition, the shopping information searching unit 150 searches a part of the seller's specific information (for example, the address and telephone number of the seller, Nickname, etc.), it can be determined that the product is sold by the same seller as the previously stored seller. However, the present invention is not limited to this method, and it is possible to determine whether the seller is the same through various algorithms.

If it is determined that the set of words obtained by parsing the content of the accessed web page is not a sale by a conventional product or a seller stored in the product DB 340 or the seller DB 330, The product name, the product code, the detailed description of the product, the image of the product or the specific information of the seller are extracted from the analysis of the set of words, and the product DB 340 or the seller DB 330 is updated as a new product or seller . In addition, the shopping information searching unit 150 updates the product URL DB 310 based on the web page URL of the Internet shopping mall when the new product is registered and the retrieved or newly created product information and / or the seller information Further functions can be performed.

When the shopping term search unit 160 according to an embodiment of the present invention receives a query term for searching for a shopping term such as a product name and a product model name from the user terminal device 400, 300 through various DBs. If there is one or more relevant shopping reviews, the searcher provides the searched shopping reviews to the user terminal 400 via the communication network 200.

The collecting unit 110, the extracting unit 120, the pattern matching unit 130, the verifying unit 140, the shopping information searching unit 150, and the shopping late searching unit 160 shown in FIG. 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 various modifications and changes may be made in the present invention without departing from the spirit and scope of the invention.

Example of how to collect new shopping information

Next, a method of collecting new shopping information performed by the shopping information searching unit 150 according to an embodiment of the present invention will be described with reference to FIG.

5, the shopping information searching unit 150 searches the Internet shopping mall DB as shown in Table 1 below and selects a specific Internet shopping mall (for example, a shopping mall having a shopping mall ID of 1) Related information for the shopping mall in which the shopping mall ID is 1, that is, the URL pattern and the finally collected item number, to retrieve whether or not the new merchandise is registered in step S110.

Mall ID Name of shopping mall URL pattern Last collected item number One Gmarket http://www.gmarket.co.kr/goods.asp?goodscode=[[NUMBER]] 157

Next, the shopping information searching unit 150 searches the URL pattern that is continuously extracted in the example including the previous Table 1 by using a number obtained by incrementing 1 to the product number collected last, that is, a URL obtained by substituting 158, http: // www .gmarket.co.kr / goods.asp? goodscode = 158 (step S120).

It is possible to retrieve whether or not a new product is registered as a result of the connection according to step S120 (step S130). If the corresponding web page does not exist as a connection result (for example, an HTTP status code 404 error If the corresponding web page exists, it is determined that the new product is registered, and the parsing of the corresponding web page is performed (step S140). At the time of parsing, the detailed information of the product or the table name in which the seller information is described in the web page may be set in advance according to the characteristics of the web site (the shopping mall website having the shopping mall ID of 1 in the preceding embodiment) It is possible to perform parsing according to shopping mall specific information, and thereby collect product information and seller information.

Next, the shopping information searching unit 150 compares the product information collected by the parsing with the existing product information stored in the product DB 340 to determine whether the newly registered product is the same as the previously stored product S150). As an example of the determination of the same, a set of parsed words includes a product code of a pre-stored product stored in the product DB 340 as shown in the following Table 2, and a set of words parsed from the detailed description of the product In the case of including 50% or more (matching), it can be judged to be the same, but it is not necessarily limited to this value.

Product ID product name Product Code Product Description Product image One Vacuum Cleaner A V-C736JMR Cyclone dust collecting type cleaner that separates dust from dust bin at one time 10jdf1032 / 402932kdf / 150ljfgh 2 Iron B HI_3020 Convenient stand steam iron with large water tank and various brushes 29gjkdf8 / 0386kcg94j3

If it is determined that the result of step S150 is not the same, a function of updating related information to the product DB is additionally performed (S155).

In addition, the shopping information searching unit 150 compares the seller information collected by the parsing with the existing seller information stored in the seller DB 340 to determine whether or not the seller who sells the newly registered goods exists in the existing seller (S160). As an example of the determination of the same, the set of parsed words includes the address, telephone number, nickname, and shop name among the specific information of the seller previously stored in the seller DB 330 as shown in Table 3 below. However, the present invention is not limited to this, and it is possible to judge whether or not the seller DB 330 is the same by variously using some or all of the fields provided in the seller DB 330.

Merchant ID name e-mail address cell phone Wireline nickname Shop name One Hong Gil Dong a@naver.com Yeoksam-dong, Gangnam-gu 010-111-1111 700-0000 Kildong Gildong Shop 2 Lee, Cheol Soo b@naver.com Seocho-dong, Seocho-gu 010-222-2222 800-0000 Charles Withdrawal food

If it is determined that the seller does not exist as a result of the execution of step S160, it is determined that the seller is a sale by a new seller that is not available in the past, and the related information is additionally updated to the seller DB (S165).

Lastly, the shopping information searching unit 150 updates the goods URL DB 310 as shown in Table 4 below using the information obtained through the steps performed previously. Here, the URL indicates the URL accessed in step S120, and the goods ID and the seller ID indicate the goods to be sold and the IDs of the seller on the web page corresponding to the accessed URL.

URL Product ID Merchant ID http://www.auction.co.kr/item.asp?itemno=A1998 One One http://www.gmarket.co.kr/goods.asp?goodscode=158 2 2

5, the determination in steps S150 and S155, and the steps S160 and S165 may not necessarily be performed in the order specified in FIG. 5, but may be arbitrarily determined according to the selection of a person skilled in the art. Therefore, It will be apparent to those skilled in the art that S160 and S165 may be executed prior to steps S150 and S155, or both may be executed in parallel.

5 is an example of one shopping mall ID included in the Internet shopping mall DB 320, it is also possible to select a shopping mall ID included in the Internet shopping mall DB 320 according to a selection of a person skilled in the art It should be understood that the method according to 5 may be performed.

Example of how to check shopping reviews

Next, with reference to FIG. 6, a shopping review method performed by the shopping review service providing system 100 according to an embodiment of the present invention will be described.

The collecting unit 110 of the shopping late service providing system 100 visits a specific web page stored in the web server 500 as shown in Fig. 7 through the communication network 200 and stores various information including the contents of the web page (S210). For convenience of explanation, it is assumed that the URL address of a specific web page visited by the collection unit 110 is http://blog.naver.com/xlos/111.

Next, the extracting unit 120 determines whether the contents of the web page among the information collected by the collecting unit 110 includes specific information, that is, a link address in this embodiment (S220). If the link address, which is the specific information, is not included, it is determined that it is not a post-shopping period and can be terminated as it is. If the link address is included, the link address is extracted and the pattern matching unit 130 And the like. In the foregoing example, for convenience of explanation, it is assumed that the link address, which is extracted specific information, is http://www.gmarket.co.jp/goods.asp?goodscode=158&shop_cd=SH&pos_class_kind=T&pos_class_cd=11111.

The pattern matching unit 130 receives the link address which is the specific information extracted from the extracting unit 120 and compares the same host and directory with the product URL DB 310 as shown in Table 4, It is determined whether the name and the specific parameter are matched (S230). In the preceding example, the specific information extracted from the link addresses, including the host, directory, and file name, is www.gmarket.com/goods.asp, the specific parameter corresponds to goodscode, and the value is 158 . The parameters shop_cd, pos_class_kind and pos_class_cd other than goodscode may be ignored in the pattern matching unit 130 if they are not specific parameters. If there is data matching with this item, it is retrieved from the product URL DB 310. In the preceding example, since data having a product ID of 2 and a seller ID of 2 can be found in Table 4, And in this case, it may further include a function of notifying the verification unit 140 of this. If the matching data does not exist in the product URL DB 310, the information collected by the collecting unit 110 can be determined to be not a post-shopping period, and can be terminated as it is.

The verifying unit 140 receives a notification that there is matching content from the pattern matching unit 130 and analyzes the information collected by the collecting unit 110 to obtain values for each of the predetermined characteristics (S240). In the above example, when the information collected by the collecting unit 110 is analyzed from the web page as shown in FIG. 7, the collected information includes the product ID Is 2, and the product name of the data having the product ID of 2 in Table 2 is included in the collected information, but the product code of the data is not included Able to know. In addition, since the collected information includes at least 50% of the detailed description of the product having the product ID of 2 in the product DB 340 of Table 2, it can be judged that it also includes the product description characteristic, It can be assumed that some of the sets of words that can be extracted from the received information match the existing shopping reviews stored in the shopping review DB 350 such as' not good ',' good ',' delivery ',' have. As described above, the values for the product name characteristic, the product code characteristic, the product description characteristic, and the late term characteristic are as shown in Table 5 below.

Image characteristics If you include images and include product images Product Name Characteristics include Product Code Characteristics Without Product Description Characteristics include Characteristics of late terms 'Bad', 'good', 'delivery', 'receive'

The search unit 140 finally determines whether the information collected by the collection unit 110 corresponds to a later shopping period based on the values for each property defined in advance as shown in Table 5 (S250). As an example, if the image characteristic includes an image, includes a product image or matches a product image, includes at least one of a product name characteristic and a product code characteristic, a product description characteristic is included, and at least two The information having the characteristic values shown in Table 5 can be finally determined to be the shopping period if it is set to correspond to the latter period of the shopping. However, as described above, it should be appreciated that the criterion that may ultimately be determined as a shopping review may be set in various manners by the skilled artisan's selection and various algorithms based on values for one or more characteristics.

If it is determined that the shop is late, the search unit 140 updates the shopping late DB 350 (S260), and an example of the shopping late DB 350 according to the updated result is shown in Table 6 below.

Shopping review ID Shopping URL Product ID Merchant ID Date of collection One http://blog.naver.com/xlos/111 2 2 October 13, 2010

Examples of how to provide shopping reviews

With reference to FIGS. 5 to 6, a description has been given of how to check a shopping review period among various information stored in the web server 500 and store the checked shopping period in the database 300. Next, with reference to FIG. 8, a description will be given of a shopping review method provided by the shopping review section 160 of the shopping review system 100 according to an embodiment of the present invention.

A user who wants to search for a shopping review for a specific product accesses the shopping review service providing system 100 using the user terminal 400 and inputs a query to the shopping review searching unit 160 Receives the input query (S310). Here, the query term refers to a keyword that can identify various shopping reviews stored in the database 300, and may generally mean a product name, a product code, a detailed description of a product, etc., It will be apparent to those skilled in the art that other information that may be distinguished, or any information about the seller of the product or the mall that it sells, or even images related to the product.

In addition, the shopping review section 160 provides an interface through which a user can input a query word. The interface may use the method provided by the conventional search portal system without any restriction on the format or the input method, May be selected in a separate shopping review tab or menu, and may be input in various ways depending on the skill level and selection of a person skilled in the art.

Next, the shopping review section 160 searches the database 300 to determine whether there is an associated shopping review using the query term received from the user terminal 400 (S320). Here, the search is not limited to simply searching for the shopping database 350, but may include searching for all databases related to the shopping review.

The shopping review section 160 provides the shopping review list derived from the search result to the user terminal 400 through the communication network 200 when the search result through the previous step S320 and the at least one shopping review exists ). The provision of the shopping review list can also be implemented in various ways in connection with the interface described above. For example, it is possible to extract only a part of each shopping review and provide it as a list for each shopping review, It is not. In addition, when a plurality of shopping reviews are searched for a keyword, it can be understood that sorting of search results can be provided using various known sorting methods such as the latest order, the number of clicks, and the order of matching with keywords.

When the user selects one of the provided shopping review lists, the shopping review searching unit 160 receives information on which shopping review is selected (S340), and provides details about the selected shopping review (S350). Providing detailed information on shopping reviews can also be implemented in various ways. For example, the entire contents of the shopping review for the shopping review list selected by the user may be displayed through a new layer, or a direct connection to the URL address of the collected shopping review stored in the shopping review DB 350 or a popup window But the present invention is not limited thereto. With this method, the shopping review section 160 can perform a function of providing a shopping review that the user is curious about.

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 constructed 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 .

Claims (19)

Collecting a predetermined web page by a collection unit,
Extracting the link address by the extracting unit when the collected web page includes a link address,
Determining whether the extracted link address is matched with any one of the goods information stored in the database by the pattern matching unit, and
And if the extracted link address is matched, verifying whether the collected predetermined web page is a shopping list by the verification unit
The step of verifying whether the shopping period is late includes:
Parsing the collected contents of the predetermined web page,
Deriving a property value for each predefined property based on the content of the parsed web page, and
Further comprising the step of finally determining whether or not to shop after the shopping based on the derived characteristic values of the respective characteristics,
Wherein each of the predefined characteristics comprises at least one of an image characteristic, a product name characteristic, a product code characteristic, a product description characteristic or a late related characteristic characteristic.
The information processing apparatus according to claim 1,
By the shopping information searching unit,
Accessing a specific shopping mall web page with reference to previously stored shopping mall information and judging whether a new product is registered or not;
Extracting shopping information from the accessed specific shopping mall web page when a new product is registered as a result of the determination,
Determining whether the goods information matches at least one of the goods information stored in advance based on the extracted shopping information, and
And updating the product information of the database based on the extracted shopping information.
The method of claim 2,
The pre-stored shopping mall information includes a shopping mall web page URL pattern and a final collection item number,
Wherein the specific shopping mall web page has a URL obtained by substituting a value obtained by adding a predetermined value to the last collected product number in the shopping mall web page URL pattern as its address.
The method of claim 2,
Wherein the determination of whether to register the new product is determined based on whether or not it receives an HTTP status code 404 error in response to the connection.

The method of claim 2,
Wherein the step of extracting shopping information comprises:
Extracting only the nouns in the case of Hangul in the specific shopping mall web page, and extracting the nouns as the shopping information without separating the words when the foreign words and the special characters are included.
The method of claim 2,
Wherein the step of judging whether or not the goods information matches at least one of the pre-
A first judging step of judging whether the extracted shopping information includes a set of words which are included in the pre-stored goods information or which are parsed from the detailed description of the goods,
A second determination step of determining whether the extracted shopping information includes at least a predetermined value of the seller information among the goods information stored in advance,
And finally determining whether the extracted shopping information matches at least one of the pre-stored goods information based on at least one of the first and second determination steps.
The method of claim 2,
And updating the product information of the database based on the extracted shopping information,
And if there is one or more pieces of product information that do not match as a result of the determination as to whether or not at least one of the pieces of product information is stored in advance based on the shopping information, updates at least one piece of product information that does not match Further comprising the steps of:
The method according to claim 1,
The method of claim 1,
And if the at least one of the host, the directory, the file name, the specific parameter, and the value included in the extracted link address is identical with the product URL information stored in the database.
delete delete The method according to claim 1,
The characteristic value for the image characteristic may be,
Determining whether an image is included in the collected predetermined web page, and
If the image is included in the result of the determination, the image is not related to the image stored in the database, or the image stored in the database is included according to the result of the step of comparing the image and the product information stored in the database. And having any one of the values.
The method according to claim 1,
The characteristic value for the product description characteristic may be,
Whether or not the set of words included in the detailed description of the goods among the goods information stored in the database is included or not included according to the result of the step of determining whether the set of words included in the detailed description of the goods is included in the parsed web page, Having a single value.
The method according to claim 1,
The characteristic value for the later-related term characteristic,
Constructing a set of remaining words in the product information stored in the database from the contents of the parsed web page, excluding words included in a product name and a detailed description of the product,
And determining whether or not each word included in the configured set is included in the later-stored shopping information stored in the database.
The method according to claim 1,
The step of finally determining whether or not to review the shopping list comprises:
Further comprising storing, by the verification unit, information on the predetermined web page in the database as shopping late information, when the predetermined web page is determined to be a later shopping day.
The method according to claim 1,
By the shopping review section,
Receiving a query term from a user,
Retrieving shopping review information associated with the received query terms from the database;
Further comprising providing the searched one or more pieces of shopping late information when the one or more shopping late information is searched as a result of the search.
A computer-readable recording medium recording a computer program for executing the method according to any one of claims 1 to 8 and claims 11 to 15.
A collection unit for collecting a predetermined web page,
An extracting unit for extracting the link address when the collected web page includes a link address,
A pattern matching unit for determining whether the extracted link address is matched with any one of the goods information stored in the database,
And a verification unit for verifying whether the collected predetermined web page is a shopping list when the extracted link address is matched,
Wherein the verifying unit comprises:
Parsing the collected contents of the predetermined web page, deriving property values for each property defined in advance on the basis of the contents of the parsed web page, And a function of finally determining whether or not to review the shopping based on the shopping list,
Wherein each of the predefined characteristics includes at least one of an image characteristic, a product name characteristic, a product code characteristic, a product description characteristic or a late related characteristic characteristic.
delete 18. The method of claim 17,
The system comprises:
And a shopping term searching unit for receiving the query term from the user and searching for the shopping term information associated with the received query term from the database and providing the searched one or more shopping term information when one or more shopping term information is searched , Shopping review and providing system.

Images