Device, method, and recording medium for displaying question-and-answer data of item

Abstract

This invention proposes a method for displaying question-and-answer information for an item. One embodiment of the method may include the following steps: obtaining a user's connection request from a user terminal for a first page containing details of an item; identifying one or more question-and-answer data corresponding to the item; generating first page information for outputting the first page, such that at least a portion of the first page includes a question-and-answer area for displaying the one or more question-and-answer data; and transmitting the first page information to the user terminal; wherein the question-and-answer data at least includes inquiry data, which includes one or more customer-written inquiries about the item, and further includes one or more answer data when there are registered answers corresponding to the inquiry data.

Description

Technical Field

[0001] This invention relates to a technology for displaying question-and-answer information about an item. Specifically, it relates to a technology for displaying question-and-answer information that can be provided to a user along with detailed information about the item. Prior Technology

[0002] With the widespread use of the Internet, e-commerce services are expanding rapidly. This phenomenon is occurring simultaneously with a decrease in the rate of purchasing goods through traditional brick-and-mortar stores, while the rate of purchasing goods through e-commerce platforms using computers or smartphones is rising sharply.

[0003] E-commerce services can provide product-specific question and answer (Q&A) data, which includes user questions about the product and clear answers to those questions. This Q&A data allows users to obtain the information they need about the product more intuitively and quickly. This improves the user experience of e-commerce services and ultimately increases the likelihood of users purchasing the product.

[0004] However, when the question-and-answer data is complex, lengthy, or ambiguous, users may find it difficult to find the information they want. In other words, it may be difficult for users of e-commerce services to intuitively and easily connect to the question-and-answer data. This could prevent users from obtaining sufficient information about the items and thus hinder the building of trust necessary to make a purchase. Summary of the Invention

[0005] [The problem the invention aims to solve] There is a need for a technology to improve user accessibility to question-and-answer data.

[0006] A technology is needed to guide users of e-commerce services to engage more actively with the Q&A information about items, while reducing user fatigue caused by excessive information. [Technical means to solve the problem]

[0007] This invention proposes a method for displaying question-and-answer information for an item. One embodiment of the method may include the following steps: obtaining a user's connection request from a user terminal for a first page containing details of an item; identifying one or more question-and-answer data corresponding to the item; generating first page information for outputting the first page, such that at least a portion of the first page includes a question-and-answer area for displaying the one or more question-and-answer data; and transmitting the first page information to the user terminal; wherein the question-and-answer data at least includes inquiry data, which includes one or more customer-written inquiries about the item, and further includes one or more answer data when there are registered answers corresponding to the inquiry data.

[0008] In this embodiment, the steps for generating the first page information include the following steps: confirming whether the length of the question and answer data is greater than or equal to a specified length; when the length of the question and answer data is greater than or equal to a specified length, generating abbreviated question and answer data; and generating the first page information by displaying the abbreviated question and answer data in the question and answer area and displaying an extended interface in at least a portion of the question and answer area; and the question and answer area is set in such a way that all the question and answer data is displayed based on user input corresponding to the extended interface.

[0009] In an embodiment, the step of generating the above-mentioned abbreviated question and answer data may include the following steps: dividing the above-mentioned question and answer data into segments of a length less than the specified length to generate the above-mentioned abbreviated question and answer data.

[0010] In an embodiment, the steps of generating the above-mentioned abbreviated question and answer data may include the following steps: analyzing the above-mentioned question and answer data; and generating abbreviated question and answer data that summarizes the above-mentioned question and answer data based on the analysis of the above-mentioned question and answer data.

[0011] In an embodiment, the steps of generating the first page information may include the following steps: confirming the priority among one or more question-and-answer data identified corresponding to the item; selecting at least a portion of the question-and-answer data to be displayed in the question-and-answer area based on the priority; and generating the first page information by displaying the selected at least a portion of the question-and-answer data in the question-and-answer area.

[0012] In an embodiment, the step of determining the priority among the above-mentioned one or more question-and-answer data may include the following steps: when each of the above-mentioned one or more question-and-answer data is displayed in the above-mentioned question-and-answer area, the priority is determined based on the customer's purchase rate of the above-mentioned items.

[0013] In an embodiment, the step of determining the priority among the above-mentioned question and answer data may include the following steps: determining the priority based on the evaluation data of one or more customers on each of the above-mentioned question and answer data.

[0014] In an embodiment, the step of determining the priority among the above-mentioned question and answer data may include the following steps: determining the priority among the above-mentioned question and answer data based on the number of the above-mentioned answer data included in the above-mentioned question and answer data.

[0015] In an embodiment, the step of determining the priority among the above-mentioned question and answer data may include the following steps: extracting one or more keywords from the above-mentioned question and answer data; and determining the priority of each of the above-mentioned question and answer data based on the extracted keywords.

[0016] In an embodiment, the step of extracting one or more keywords may include the following steps: based on the information of the user and the information of one or more customers, selecting at least a portion of the one or more customers; and extracting one or more keywords from the question and answer data corresponding to the selected at least a portion of customers.

[0017] In an embodiment, the step of extracting one or more keywords may include the following steps: selecting one or more similar items based on the attribute information of the item; and extracting one or more keywords from the question and answer data corresponding to the item and the one or more similar items.

[0018] In an embodiment, the step of extracting one or more keywords may include the following steps: selecting one or more similar items based on the attribute information of the item; and extracting one or more keywords from the question and answer data corresponding to the item and the one or more similar items.

[0019] In an embodiment, the step of determining the priority based on the extracted keywords may include the following steps: calculating the sensitivity of each keyword attribute of the user based on at least a portion of the user's past inquiry data, the user's purchase history, and the attribute information of the item; determining the weight value of each of the extracted keywords based on the sensitivity; and determining the priority corresponding to each of the one or more question and answer data based on the weight value and the extracted keywords.

[0020] In the embodiment, the first page may include a user interface for receiving a user's connection request to the second page in at least a portion of the question and answer area, and the method further includes the following steps: receiving a user's connection request to the second page; and generating second page information for outputting the second page in a manner that displays a list of all question and answer information for the item on the second page.

[0021] This invention proposes an electronic device for displaying question-and-answer information about an item. One embodiment of the electronic device may include: one or more processors; and one or more memory stores commands to be executed by the one or more processors; and the electronic device is configured to execute the methods of various embodiments of the present invention when executing the commands.

[0022] This invention proposes a non-transitory computer-readable recording medium for recording commands for displaying question-and-answer information about an item. In one embodiment of this invention, the commands recorded on the recording medium can be commands that can be executed by one or more processors or implemented on a computer. These commands can be configured such that, when executed by one or more processors, they cause one or more processors to perform the methods of various embodiments of this invention. [Effects of the Invention]

[0023] According to at least one embodiment of the present invention, for an item, question and answer information that can be provided to the user can be identified and provided together with detailed information, thereby improving the user experience and guiding the user to make a purchase.

[0024] According to at least one embodiment of the present invention, when providing question and answer information, abbreviated question and answer information is provided, thereby expecting the following effects: users can obtain the information they need, and user fatigue is reduced and efficiency is improved.

[0025] According to at least one embodiment of the present invention, question-and-answer data on items is provided selectively, thereby providing personalized information to each user, improving user experience, and improving the efficiency of question-and-answer data delivery.

[0026] The effects of the technical concept of this invention are not limited to those mentioned above. Those skilled in the art can clearly understand other effects not mentioned based on the description in the specification. Simple Explanation of the Diagram

[0027] Figure 1 illustrates an environment in which an electronic device, according to one embodiment of the present invention, can be applied. Figure 2 is a block diagram of an electronic device according to one embodiment of the present invention. Figure 3 is a flowchart that schematically illustrates a method for displaying question-and-answer data of an item according to one embodiment of the present invention. Figure 4 is a diagram illustrating the first page and question-and-answer area of ​​one embodiment of the present invention. Figure 5 is a diagram illustrating the question-and-answer area of ​​one embodiment of the present invention. Figure 6 is a diagram on the second page illustrating one embodiment of the present invention. Figure 7 is a flowchart that schematically illustrates a method for displaying abbreviated question-and-answer data according to one embodiment of the present invention. Figure 8 is a flowchart that schematically illustrates a method for selectively displaying question-and-answer data according to one embodiment of the present invention. Implementation

[0028] The various embodiments described in this invention are illustrative of the technical concept of the invention and are not intended to limit them to specific implementation methods. The technical concept of the invention includes various modifications, equivalents, alternatives, and embodiments obtained by selectively combining all or part of the embodiments described herein. Furthermore, the scope of the technical concept of the invention is not limited to the various embodiments shown below or their specific descriptions.

[0029] The terms used in this invention, including technical or scientific terms, shall have the meanings commonly understood by one of common knowledge in the technical field to which this invention pertains, unless otherwise defined.

[0030] The terms "comprising," "may include," "possibly possess," "may possess," "has," and "may have" used in this invention imply the presence of object features (e.g., functions, actions, or constituent elements), and do not exclude the existence of other additional features. That is, the above-described expressions should be understood as open-ended terms that may include other embodiments.

[0031] The singular expressions used herein may have the meaning of plural unless the context otherwise indicates, and this also applies to the singular expressions described in the claims.

[0032] The terms "first," "second," "first," and "second" used in this article, unless otherwise specified, are used to distinguish one object from others when referring to multiple objects of the same kind, and are not used to limit the order or importance of such objects.

[0033] The expressions “A, B and C”, “A, B or C”, “A, B and / or C”, “at least one of A, B and C”, “at least one of A, B or C”, “at least one of A, B and / or C” as used in this document may refer to the individual items listed or all possible combinations of the listed items. For example, “at least one of A or B” may refer to (1) at least one A, (2) at least one B, or (3) at least one A and at least one B.

[0034] The expression "based on ~" used in this invention is used to describe one or more factors described in the statement or article containing the expression that affect the determination or judgment of an action or behavior. The expression does not exclude other factors that affect the determination or judgment of an action or behavior.

[0035] The expression used in this invention to say that a certain constituent element (e.g., the first constituent element) is "connected" or "linked" to another constituent element (e.g., the second constituent element) can mean not only that the aforementioned constituent element is directly connected to or linked to the aforementioned other constituent element, but also that it is connected to or linked to the aforementioned other constituent element through a new other constituent element (e.g., the third constituent element).

[0036] The expression "configured to" used in this invention can have meanings such as "configured in a certain way," "possessing the capability of a certain method," "modified in a certain way," "made in a certain way," and "capable of performing a certain method," depending on the context. This expression is not limited to the meaning of "specially designed in hardware." For example, a processor configured to perform a specific action can refer to a general-purpose processor that can perform that specific action by executing software, or it can refer to a special-purpose computer that performs that specific action through programmatic configuration.

[0037] Hereinafter, various embodiments of the present invention will be described with reference to the accompanying drawings. In the drawings and descriptions, the same or substantially equivalent constituent elements may be given the same reference numerals. Furthermore, in the following descriptions of various embodiments, repeated descriptions of the same or corresponding constituent elements may be omitted, but this does not mean that such constituent elements are not included in the embodiments.

[0038] Figure 1 illustrates an environment in which an embodiment of the present invention can be applied. In one embodiment, electronic device 101 is connected to user terminal 102 via a network, thereby enabling communication between them. Electronic device 101 may be an electronic device providing e-commerce services. That is, electronic device 101 may be a device operating under the management of an e-commerce service operator (e.g., a mobile operator).

[0039] In one embodiment, electronic device 101 can manage information of users utilizing e-commerce services. The user information managed by electronic device 101 may include, for example, user account information, user name information, age information, address information, or contact information. The management of user information can be collectively referred to as all actions involving control over and processing of that information. For example, the management of user information may include actions such as storing, updating, or modifying that information.

[0040] In one embodiment, electronic device 101 can manage information about items in an e-commerce service. The e-commerce service may refer to providing users with the ability to purchase items such as goods, food, and products, and may further include intermediary services for selling items from one group of users to another. The information about items managed by electronic device 101 may include, for example, item identification information, item name, item details, item price, item capacity, item size, item weight, item attributes, category, or unit price information. In this case, an item may be a sales unit of a product, and even in the case of the same product, it may be offered to users as different items. For example, in the case of the same product, the sales unit quantity and price may be changed to sell it as other items. Therefore, different items may share product information. The management of item information can be collectively referred to as all actions involving control over and processing of that information. For example, the management of item information may include actions such as storing, updating, or modifying that information.

[0041] In one embodiment, electronic device 101 can manage various information to be provided to users utilizing e-commerce services. Electronic device 101 can manage various data required to provide e-commerce services based on requests from operators of e-commerce services or users utilizing e-commerce services. For example, it can generate, modify, store, or provide data to users on various pages accompanying e-commerce services, namely search results pages, product catalog pages, activity pages, product detail pages (or product description pages), product sales pages, and login pages generated due to user connection requests. Regarding the management method of electronic device 101, electronic device 101 can manage information generated accompanying the provision of e-commerce services based on user input.

[0042] In one embodiment, electronic device 101 may provide page information for displaying pages related to the e-commerce service to user terminal 102 based on a request from a user utilizing the e-commerce service. User terminal 102 may output the page to a screen using the page information received from electronic device 101. Here, the page may include a page related to the user's login to the e-commerce service, a page providing various information on items that the user can purchase, or a catalog page providing a catalog of items retrieved in various ways according to the user's request, a shopping cart page for purchasing items included in a pre-order list (e.g., a shopping cart), an item details page (or product details page) providing detailed information on individual items, an item sales page for purchasing individual items, etc. The provision of page information may include providing at least a portion of all data generated during the user's use of the e-commerce service to user terminal 102.

[0043] In one embodiment, electronic device 101 can manage transactions related to e-commerce services provided to users, i.e., transactions related to online items (e.g., goods or services). Specifically, electronic device 101 can manage a series of processes allowing users to search, select, purchase, and settle orders for items and request delivery. As described above, electronic device 101 can provide customers with information on items and delivery, and can receive purchase, settlement, and delivery requests from users, allowing users to search, select, purchase, settle orders, and request delivery for items. Furthermore, it should be noted that regarding actions that electronic device 101 can perform, even those not mentioned in this invention, as long as they are common actions that a server device providing known e-commerce services can perform, applying the technical concept of this invention with reference to such actions is not excluded from the scope of this invention.

[0044] The electronic device 101 described above can be implemented as one or more computing servers. For example, all functions of the electronic device 101 can be implemented in a single computing server. As another example, a first function of the electronic device 101 can be implemented in a first computing server, and a second function can be implemented in a second computing server. As yet another example, a plurality of computing servers can be used to implement all or specified functions of the electronic device 101. The computing server described above can be a desktop computer, a laptop computer, an application server, a proxy server, or a cloud server, but is not limited to these; all types of servers with computing capabilities can be computing servers.

[0045] In one embodiment, user terminal 102 may be a device for users to utilize e-commerce services. User terminal 102 may be implemented as a terminal capable of sending and receiving various information with electronic device 101 via a network. For example, user terminal 102 may be one of a desktop computer, laptop computer, portable communication terminal (smartphone, etc.), portable multimedia server, wearable server, or HMD. However, the type of user terminal 102 is not limited to these; user terminal 102 may be any server that includes an input / output interface capable of receiving information from or sending information to the user, and communicates with electronic device 101 or other servers via a network.

[0046] In one embodiment, user terminal 102 can provide information received from electronic device 101 to the user, and receive input from the user and transmit it to electronic device 101. Specifically, user terminal 102 can obtain input from the user instructing to call various web pages, and generate commands instructing to call various web pages in response to the obtained input. User terminal 102 can transmit commands instructing to call various web pages to electronic device 101. Input obtained from the user may include various forms of input such as clicking using a mouse, touching using a touchpad or touchscreen, voice recognition, and other electronic inputs. User terminal 102 can receive information from various web pages from electronic device 101, and output web pages based on the received information from various web pages.

[0047] In one embodiment, the network serves to connect electronic device 101, user terminal 102, or other external servers. For example, the network provides a connection path so that user terminal 102 or other external servers can connect to electronic device 101 and send and receive packet data with electronic device 101. The network can be implemented as any type of wired or wireless network, such as a Local Area Network (LAN), a Wide Area Network (WAN), a Mobile Radio Communication Network, or Wibro (Wireless Broadband Internet).

[0048] In one embodiment, the electronic device 101 and the user terminal 102 can operate as a single device. The user terminal 102 can be included in the electronic device 101 as all or part of its constituent elements. In this case, for example, the various information sent and received between the electronic device 101 and the user terminal 102 via a network can be various information sent and received between constituent elements within a server.

[0049] Figure 2 is a block diagram of a server according to one embodiment of the present invention. In one embodiment, electronic device 200 (e.g., electronic device 101 of Figure 1) can process information for e-commerce services. Electronic device 200 may include one or more processors 210, one or more memory units 220, and communication interface 230 as constituent elements. At least one of the constituent elements of electronic device 200 may be omitted, or other constituent elements may be added to electronic device 200. In one embodiment, some constituent elements may be additionally or alternatively integrated, or implemented as a single or multiple entities. In the present invention, one or more processors 210 may be referred to as processor 210. Unless otherwise explicitly stated herein, the term processor 210 may refer to a collection of one or more processors. In the present invention, one or more memory units 220 may be referred to as memory units 220. Unless otherwise specified in the text, the term "memory 220" may refer to a collection of one or more memories. In one embodiment, at least some of the components within / outside the electronic device 200 may be interconnected via buses, GPIO (General Purpose Input / Output), SPI (Serial Peripheral Interface), or MIPI (Mobile Industry Processor Interface) to transmit and receive information (data, signals, etc.).

[0050] In one embodiment, the processor 210 of the electronic device 200 can drive software (e.g., commands, programs, etc.) to control at least one component of the electronic device 200 connected to the processor 210. Furthermore, the processor 210 can perform various operations related to the present invention, such as calculations, processing, data generation, and manipulation. Also, the processor 210 can load data from or store data in the memory 220. The processor 210 can control the communication interface 230 to request various information from the user terminal 102 and receive various information from the user terminal 102.

[0051] In one embodiment, the memory 220 of the electronic device 200 may store various information (data). The information stored in the memory 220 is information obtained, processed, and used through at least one component of the electronic device 200, and may include software (e.g., commands, programs, etc.). The memory 220 may include volatile and / or non-volatile memory. In this invention, commands or programs are software stored in the memory 220, and may include an operating system for the resources of the electronic device 200, applications, and / or middleware that provides various functions to applications so that applications can use the resources of the electronic device 200. In one embodiment, the memory 220 may store commands, which cause the processor 210 to perform calculations when the commands are executed by the processor 210. The memory 220 may store information received from a database through the communication interface 230 and / or store at least a portion of information sent to the database through the communication interface 230. Specifically, memory 220 can store information about e-commerce services and commands executed by processor 210.

[0052] In one embodiment, the communication interface 230 can enable wireless or wired communication between the electronic device 200 and a database or other external device. For example, the communication interface 230 can implement wireless communication through methods such as eMBB (enhanced Mobile Broadband), URLLC (Ultra Reliable Low-Latency Communications), MMTC (Massive Machine Type Communications), LTE (Long-Term Evolution), LTE-A (LTE Advance), NR (New Radio), UMTS (Universal Mobile Telecommunications System), GSM (Global System for Mobile communications), CDMA (Code Division Multiple Access), WCDMA (Wideband CDMA), WiBro (Wireless Broadband), WiFi (Wireless Fidelity), Bluetooth, NFC (Near Field Communication), GPS (Global Positioning System), or GNSS (Global Navigation Satellite System). For example, the communication interface 230 can implement wired communication via USB (Universal Serial Bus), HDMI (High Definition Multimedia Interface), RS-232 (Recommended Standard-232), or POTS (Plain Old Telephone Service). In one embodiment, the electronic device 200 can also be integrated with other servers. In this case, the communication interface 230 can function as a connection circuit or interface connecting the electronic device 200 to the other server.

[0053] A user terminal according to one embodiment of the present invention (e.g., user terminal 102 in FIG1) may also include one or more processors, one or more memory units, and a communication interface as constituent elements. At least one of the constituent elements of the user terminal may be omitted, or other constituent elements may be added to the user terminal. In one embodiment, some constituent elements may be additionally or alternatively integrated, or implemented as a single or multiple entities. One or more processors of the user terminal can drive software (e.g., commands, programs, etc.) to control at least one constituent element of the user terminal connected to the processor. One or more memory units of the user terminal can store various information (data). The communication interface of the user terminal can enable wireless or wired communication between the user terminal and a database or other external devices.

[0054] Figure 3 is a flowchart that schematically illustrates a method for displaying question-and-answer data of an article according to one embodiment of the present invention. The method for displaying question-and-answer data of an article according to one embodiment of the present invention may include actions S310, S320, S330, and / or S340.

[0055] Electronic device 101 can receive a user's request for a link to the first page (S310).

[0056] In one embodiment, the first page may be any of various pages provided accompanying the provision of e-commerce services. For example, electronic device 101 may receive a user's request for a link to a details page of an item in an e-commerce service.

[0057] In one embodiment, user terminal 102 may transmit a connection request to electronic device 101 for a first page corresponding to an item based on user input. Here, user input refers to input from the user to user terminal 102, for example, it may represent input from the user touching or tapping at least a portion of the area of ​​the item list page that includes the items.

[0058] Electronic device 101 can recognize question and answer data corresponding to an item.

[0059] In one embodiment, electronic device 101 may identify question-and-answer data corresponding to an item in response to a connection request received from user terminal 102.

[0060] Question and answer materials may include inquiries written by one or more customers about the item. For example, question and answer materials may include at least one inquiry. Inquiry materials may include inquiries written by customers, including users, about the item. Inquiry materials may include information such as customer inquiries about the item. For example, inquiry materials may include at least some of text, images, and audio.

[0061] The question-and-answer data may include registered answer data corresponding to inquiries made by one or more customers about an item. For example, the question-and-answer data may include answer data written in response to inquiries. The answer data may be written in response to inquiries, and the correspondence between the inquiries and answer data may be stored in electronic device 101. As an example, the question-and-answer data may include at least one inquiry, or may not include answer data. When answer data is written in response to inquiries, the question-and-answer data may include the inquiry data and its corresponding answer data. In one embodiment, a plurality of answer data may be written and registered in response to one inquiry. The answer data may be, for example, data written and registered in response to inquiries by the seller of the item, the manager of the e-commerce service, etc. The answer data may include at least a portion of text, images, and audio.

[0062] In one embodiment, the question-and-answer data may be data compiled, registered, and stored corresponding to an item. For example, question data compiled for a specific item and answer data compiled corresponding to the question data may be included in the question-and-answer data. The electronic device 101 may identify more than one piece of question-and-answer data corresponding to each item.

[0063] In one embodiment, the electronic device 101 can identify question-and-answer data based on item information. For example, the electronic device 101 can identify one or more stored question-and-answer data corresponding to item identification information.

[0064] In one embodiment, the electronic device 101 can manage one or more question-and-answer messages corresponding to an item according to various categories. For example, when a user composes a question, they can also input the category information corresponding to the question. The categories can be based on the item information, as each item has different classifications. For example, when the item is food, the categories used to classify the question-and-answer messages can be classified according to freshness, taste, volume, etc., and when the item is clothing, the corresponding categories can be classified according to size, color, quality, etc.

[0065] In one embodiment, electronic device 101 can classify question-and-answer data corresponding to an item into one or more categories. Electronic device 101 can generate one or more categories for classifying the question-and-answer data based on the analysis of the one or more question-and-answer data. For example, electronic device 101 can analyze one or more query data included in the one or more question-and-answer data, and generate one or more categories for classifying each query data based on the analysis. In one embodiment, electronic device 101 can extract keywords from the one or more query data, calculate distance information between the keywords included in each query data, and cluster the query data into one or more clusters based on the calculated distance information.

[0066] In one embodiment, the electronic device 101 can parse the query data to extract one or more keywords.

[0067] In one embodiment, electronic device 101 can extract keywords based on Term Frequency-Inverse Document Frequency (TF-IDF) values. Electronic device 101 can select keywords based on words that frequently appear in various query data and words that are rare in the entire document from one or more keywords extracted through parsing. Electronic device 101 can calculate the Term Frequency (TF) of a specific word within the query data and can calculate the Inverse Document Frequency (IDF) considering the frequency of that word's concentrated occurrence across all query data sets. Electronic device 101 can multiply the TF and IDF values ​​to determine the importance of each word.

[0068] In one embodiment, the electronic device 101 embeds one or more keywords extracted through parsing into a vector space, thereby calculating the similarity between the keywords and grouping keywords with similar meanings. The electronic device 101 can then extract key keywords from each query data.

[0069] In one embodiment, the electronic device 101 can calculate the importance of each word by using words in the query data as nodes and setting the connections between words as edges. The electronic device 101 can extract keywords from the question-and-answer data based on the importance of each word.

[0070] In one embodiment, the electronic device 101 can use various techniques to calculate the distance information between keywords and cluster the query data accordingly. For example, the electronic device 101 can use the cosine similarity technique to convert each keyword included in the query data into a vector and then calculate the cosine similarity to determine the similarity between keywords. Cosine similarity measures the angle between two vectors; therefore, the closer the value is to 1, the more similar the two keywords are considered to be. The electronic device 101 can cluster more than one set of query data based on the similarity between keywords.

[0071] In one embodiment, electronic device 101 can use Euclidean distance to convert keywords into numerical vectors, and then calculate numerical vectors containing query data for each keyword. Furthermore, electronic device 101 can calculate the Euclidean distance between vectors. The smaller the Euclidean distance value, the higher the similarity between keywords is considered, thus enabling clustering based on this.

[0072] In one embodiment, electronic device 101 can use Jaccard Similarity to calculate the Jaccard similarity between keyword sets to determine the similarity between keywords. Jaccard Similarity is defined as the value obtained by dividing the size of the intersection of two sets by the size of the union of the two sets; therefore, the higher the similarity, the larger the value. This allows query data to be clustered.

[0073] In one embodiment, the electronic device 101 can use word embedding techniques such as Word2Vec and GloVe to map keywords to a vector space. Subsequently, the similarity between keywords can be determined using cosine similarity or Euclidean distance between vectors, and based on this, clustering of query data including each keyword can be implemented.

[0074] In one embodiment, electronic device 101 may use TF-IDF (Term Frequency-Inverse Document Frequency) values ​​to construct document vectors for each query. Subsequently, cosine similarity or Euclidean distance may be used to calculate the distance between document vectors and to cluster the query data.

[0075] In one embodiment, the electronic device 101 can extract key keywords according to the clusters of clustered question and answer data, and define the category of each cluster based on the key keyword information.

[0076] In one embodiment, the electronic device 101 can map and store corresponding category information according to each question and answer data.

[0077] Electronic device 101 can combine more than one set of question and answer data.

[0078] In one embodiment, electronic device 101 may combine at least a portion of one or more question-and-answer data based on the similarity of the question-and-answer data.

[0079] In one embodiment, the similarity between each question-and-answer data can be determined based on the similarity between each query data included in each question-and-answer data.

[0080] In one embodiment, electronic device 101 may combine at least a portion of one or more question-and-answer data based on the similarity of the question-and-answer data. For example, electronic device 101 may analyze the question data of each question-and-answer data and combine data that includes similar question data.

[0081] In one embodiment, electronic device 101 can construct document vectors to determine similarity. For this purpose, electronic device 101 can use TF-IDF (Term Frequency-Inverse Document Frequency) values ​​to construct document vectors for each question-and-answer document. Subsequently, cosine similarity or Euclidean distance between document vectors can be calculated to determine the similarity between the question-and-answer documents.

[0082] In one embodiment, the electronic device 101 may use word embedding techniques. After mapping query data to a vector space using word embedding techniques such as Word2Vec and GloVe, the electronic device 101 may calculate the cosine similarity or Euclidean distance between vectors to determine the similarity of the query data.

[0083] In one embodiment, the electronic device 101 may use a language analysis model to convert the contextual descriptions of each question and answer into vectors, and calculate the cosine similarity between the converted vectors to determine the similarity between the question and answer data.

[0084] Electronic device 101 can combine question-and-answer data, including similar queries, into a single document. Similar queries may refer to multiple queries with a similarity of more than a specified critical similarity. For example, it can combine question-and-answer data for similar questions, such as "What is the method of intake?" and "How is this product used?".

[0085] In one embodiment, electronic device 101 can directly retain the state of each of the multiple question-and-answer data, including multiple similar question data, and associate a single answer with each of the multiple question data. In another embodiment, when the multiple question-and-answer data including similar question data includes answer data, electronic device 101 can combine the answer data into one. For example, electronic device 101 can calculate the similarity between similar question data and corresponding answer data, and extract representative answer data based on the similarity. For example, electronic device 101 can calculate the similarity between each pair of answer data corresponding to three similar question data, and identify the central answer data in each pair of answer data based on this.

[0086] In one embodiment, the electronic device 101 may use various techniques such as cosine similarity, Jaccard similarity, or Euclidean distance to calculate similarity. For example, when the electronic device 101 calculates the cosine similarity of three response data A, B, and C, after calculating the cosine similarity between each pair of response data (AB, AC, BC), the two response data with the highest similarity can be identified. Then, representative response data can be extracted by weighted average of the identified response data pairs or by majority voting. In this method, the electronic device 101 can quantitatively evaluate the content similarity of each response data to maintain the consistency of response data for similar queries. For example, when the cosine similarity between response data A and B is 0.9, the similarity between A and C is 0.85, and the similarity between B and C is 0.8, the electronic device 101 can determine that A and B have the highest similarity and combine the two to generate representative response data. In one embodiment, after combining similar question-and-answer data, the electronic device 101 can store the combined data as new question-and-answer data. Such combined question-and-answer data includes more comprehensive answers, thereby improving the quality of information provided to the user.

[0087] In one embodiment, the electronic device 101 can filter important keywords from the question-and-answer data and apply visual effects (e.g., highlighting) to them. This allows the user to identify important information more quickly.

[0088] In one embodiment, electronic device 101 can analyze query data based on morpheme analysis, sentence analysis, or word frequency analysis. In one embodiment, electronic device 101 can calculate TF-IDF (Term Frequency-Inverse Document Frequency) values ​​for the words included in the query data and apply visual effects to words with TF-IDF values ​​above a threshold. Electronic device 101 can extract words with a specified number of upstream scores as keywords based on the calculated TF-IDF values. Electronic device 101 can apply specific colors, bolding, and / or underlining, or other visual effects to the selected keywords. For example, an important keyword such as "intake method" can be displayed as "intake method".

[0089] In one embodiment, the electronic device 101 may also consider the position and frequency of each word in the document during the keyword filtering process. For example, words located in the title or first paragraph may have higher importance.

[0090] In one embodiment, the electronic device 101 may apply visual effects to words that match a pre-defined list of keywords.

[0091] In one embodiment, electronic device 101 may define new categories or map them to previous categories based on the combined question-and-answer data. The categories thus generated make it easier for users to find relevant information. Through various techniques as exemplified above, electronic device 101 combines question-and-answer data, thereby providing users with more useful and comprehensive information.

[0092] In one embodiment, electronic device 101 can delete data containing inappropriate expressions or defamatory language from question-and-answer materials. Electronic device 101 can analyze the text of the query and answer materials to delete data containing defamatory language, hate speech, or other inappropriate expressions. For example, electronic device 101 can pre-store data containing defamatory language, hate speech, or other inappropriate expressions, and use this as a basis to score the text of each data based on its similarity to keywords included in the query or answer materials, classifying data that obtains a score above a fixed threshold as deletion targets. In one embodiment, after filtering question-and-answer materials containing inappropriate queries, electronic device 101 constructs a question-and-answer data set based on the remaining data. In this way, electronic device 101 can prevent unintended misuse and maintain the reliability of the information provided to the user. Electronic device 101 can also delete or correct and store answer materials containing inappropriate expressions. To this end, electronic device 101 can examine the text of the answer data and, upon discovering inappropriate expressions, correct that portion or delete the entire answer data. As a result, electronic device 101 can include a function to automatically detect and remove inappropriate expressions in order to maintain the quality of the question-and-answer data. In this way, the electronic device can provide users with reliable and useful information. For example, if electronic device 101 determines that a particular question-and-answer data entry contains defamatory language, it can delete that data to maintain the quality of the data set.

[0093] Electronic device 101 can generate first page information (S330). The first page information may include information used to output the first page.

[0094] In one embodiment, the first page may be a details page that includes detailed information about the item.

[0095] In one embodiment, the first page may be a details page that includes detailed information about the item. The details page may include the item's image, name, price, description, specifications, manufacturer information, etc.

[0096] In one embodiment, the first page may include a question-and-answer area in at least a portion of its area. The question-and-answer area may be an area used to display more than one set of question-and-answer data. More than one set of question-and-answer data may be displayed in the question-and-answer area of ​​the first page.

[0097] In one embodiment, the electronic device 101 may select to display more than one question and answer data in the question and answer area.

[0098] In one embodiment, the electronic device 101 can retrieve relevant question-and-answer data from a database.

[0099] In another embodiment, the electronic device 101 can analyze user comments or evaluations to automatically select frequently asked questions (FAQs) and their answers. For example, when there are frequently asked questions about a specific item, the electronic device 101 can display the corresponding Q&A information in the Q&A area.

[0100] In one embodiment, electronic device 101 can provide user-customized question-and-answer data. Electronic device 101 can analyze user profiles or query records to select the most suitable question-and-answer data for the user. For example, it can prioritize displaying question-and-answer data for items previously searched by the user or items in similar categories.

[0101] In one embodiment, the electronic device 101 may display real-time updated question and answer data.

[0102] In one embodiment, the electronic device 101 may apply visual effects to the question-and-answer data. For example, important questions and answers may be displayed in bold or other colors.

[0103] In one embodiment, the electronic device 101 may display real-time updated question-and-answer data. In another embodiment, the electronic device 101 may apply visual effects to the latest question-and-answer data.

[0104] In one embodiment, the electronic device 101 can organize and highlight questions and answers designated as important by the user in a separate section. For example, important questions can be placed at the top of a separate list within the question-and-answer area or visual effects can be added to make them more prominent than other questions and answers. Additionally, the electronic device 101 allows the user to bookmark or tag specific question-and-answer data. For example, bookmarks or tags can be appended to the question-and-answer data.

[0105] In one embodiment, the electronic device 101 may emphasize key words for identification through visual effects such as bold, color change, or underline. For example, key words such as "delivery period," "return and exchange policy," and "product function" may be displayed more prominently in comparison with other text.

[0106] In this embodiment, the electronic device 101 can provide a search function based on highlighted keywords according to the user's selection. For example, after the user clicks on a specific keyword, all question and answer information related to that keyword can be displayed as search results.

[0107] The electronic device 101 can filter the question and answer data to be displayed in the question and answer area according to the priority of multiple question and answer data corresponding to the item.

[0108] In one embodiment, the electronic device 101 can, after confirming the priority of a plurality of question-and-answer data corresponding to an item, set a portion of the question-and-answer data to be displayed in the question-and-answer area in descending order of priority. For example, in an e-commerce website, the question-and-answer data with the highest purchase conversion rate can be displayed first, thereby allowing users to quickly find the answers they need.

[0109] In one embodiment, the electronic device 101 can determine the priority among one or more question-and-answer data corresponding to the aforementioned item. For example, when each question-and-answer data is displayed in the question-and-answer area, the priority can be determined based on the rate at which customers purchase the aforementioned item.

[0110] In one embodiment, electronic device 101 can determine priority based on customer ratings of one or more question-and-answer profiles. For example, the ratings can be analyzed based on the number of times a customer clicks the "Very Good" button. In another embodiment, electronic device 101 can analyze customer ratings to prioritize question-and-answer profiles that receive high ratings. For example, it can detect upstream question-and-answer profiles based on "Very Good" buttons or 5-star ratings and display them to the user first.

[0111] In one embodiment, the electronic device 101 can determine priority based on the number of answers included in the question-and-answer data. For example, questions with more answers to a particular question can be judged to have higher priority. In another embodiment, the electronic device 101 can consider the number of answers to a question to assign priority. For example, when there are multiple answers corresponding to a particular question, it can be determined that the question has received more user attention and displayed at the top of the question-and-answer area.

[0112] In one embodiment, the electronic device 101 can extract one or more keywords from question-and-answer data and determine priorities based on the extracted keywords. For example, keywords can be extracted from question-and-answer data corresponding to a specific customer based on user profiles and customer information, and priorities can be assigned based on these keywords. In one embodiment, the electronic device 101 can determine priorities based on keywords extracted from question-and-answer data. For example, question-and-answer data where a specific keyword frequently appears can be determined to have a higher priority. Specific keywords can be determined by corresponding to the main keywords extracted from question-and-answer data corresponding to items of the same or similar categories. Methods similar to those described above can be used for filtering main keywords.

[0113] In one embodiment, the electronic device 101 can select similar items based on the item's attribute information and extract keywords from the question-and-answer data corresponding to these similar items. Subsequently, the priority of each question-and-answer data can be determined based on the extracted keywords. In another embodiment, the electronic device 101 can analyze and utilize the question-and-answer data of similar items based on the item's attribute information. For example, it can extract question-and-answer data of other products in similar categories and prioritize displaying question-and-answer data that matches the item's characteristics based on the keywords included in that data.

[0114] In one embodiment, the sensitivity of each keyword attribute of a user can be calculated by considering past inquiry data and purchase history of the user or customer, and the weight value of each extracted keyword can be determined based on the sensitivity. Then, the priority corresponding to each of one or more question-and-answer data is determined based on the weight value and the extracted keywords. In one embodiment, electronic device 101 can analyze the user's preferred topics or keywords based on past inquiry data and purchase history. Then, the sensitivity to specific keywords can be calculated based on this information, and weight values ​​can be assigned to each keyword to determine the priority of question-and-answer data. For example, in the case of a user who frequently buys athletic shoes, question-and-answer data including the keyword "size" can be set to a higher priority.

[0115] In one embodiment, the electronic device 101 can generate first page information by displaying priority-based question-and-answer data in a question-and-answer area. This technology helps improve the user experience by making it easier for users to find the information they need.

[0116] Electronic device 101 can transmit the information on the first page to the user terminal (S340).

[0117] In one embodiment, electronic device 101 can transmit first page information to user terminal 102. User terminal 102 can receive the first page information from electronic device 101. User terminal 102 can output the first page to its screen based on the first page information.

[0118] Figure 4 is a diagram illustrating the first page and question-and-answer area of ​​one embodiment of the present invention.

[0119] Figure 5 is a diagram illustrating the question-and-answer area of ​​one embodiment of the present invention.

[0120] Referring to Figure 4, page 1, number 400, can be an item details page that includes detailed information about the item.

[0121] In one embodiment, the first page 400 may include a question-and-answer area 410 in at least a portion of its area.

[0122] In one embodiment, at least a portion of the question and answer data 420a, 430 selected by the electronic device 101 from one or more question and answer data corresponding to an item can be displayed in the question and answer area 410.

[0123] In one embodiment, the first page 400 may include a user interface 413 in at least a portion of the question-and-answer area 410 for receiving a user's connection request to the second page. Corresponding to user input on the user interface 413, the electronic device 101 may transmit second page information for outputting the second page to the user terminal 102. The second page may be a page displaying a complete catalog of question-and-answer data corresponding to an item. The second page will be described below.

[0124] In one embodiment, the question-and-answer area 410 may include an extended interface 421a in at least a portion. In one embodiment, when the question-and-answer data displayed in the question-and-answer area 410 is longer than a specified length, the electronic device 101 generates abbreviated question-and-answer data and displays it in the question-and-answer area 410. The method for generating the abbreviated question-and-answer data will be described below.

[0125] In one embodiment, electronic device 101 may display all question-and-answer data 420b in question-and-answer area 410 in response to user input corresponding to extended interface 421a. In this case, extended interface 421a may be transformed into reduced interface 421b. In response to user input corresponding to reduced interface 421b, electronic device 101 may display abbreviated question-and-answer data 420a in question-and-answer area 410.

[0126] In one embodiment, when the question-and-answer data 420b includes multiple answer data, the user interface 423 for displaying all multiple answer data can then be displayed in the question-and-answer area 410. In one embodiment, all multiple answer data can be aggregated into one answer data by combining the answer data as described above.

[0127] Figure 6 is a diagram on the second page illustrating one embodiment of the present invention.

[0128] In one embodiment, the second page 600 may be a page used to display a directory of all questions and answers corresponding to an item.

[0129] In one embodiment, the second page 600 may include a reporting interface 610 for reporting inappropriate question and answer information.

[0130] In one embodiment, the second page 600 may display a directory including a plurality of question and answer materials 620, 630.

[0131] When the first question-and-answer data 620 does not contain any answer data in the response data of the question-and-answer data, only the question data is displayed on the second page 600. When the answer data is the second question-and-answer data 630 which is longer than the specified length, the abbreviated answer data, which is at least a portion of the answer data, can be displayed on the second page 600.

[0132] Figure 7 is a flowchart that schematically illustrates a method for displaying abbreviated question-and-answer data according to one embodiment of the present invention.

[0133] One embodiment of the present invention describes a method for displaying abbreviated question-and-answer data of an item, which may include actions S710, S720, S730 and / or S740.

[0134] Electronic device 101 can confirm whether the length of the question-and-answer data is greater than or equal to a specified length. Electronic device 101 can confirm whether the length of the question-and-answer data is greater than or equal to a specified length based on the length of the text included in the answer data. For example, if the answer data includes more than 100 words, or if the answer data includes more than 300 characters, electronic device 101 can determine that the length of the question-and-answer data is greater than or equal to a specified length. In one embodiment, electronic device 101 can confirm whether the length of the question-and-answer data is greater than or equal to a specified length based on the capacity of the question-and-answer data.

[0135] Electronic device 101 can generate abbreviated question and answer data (S720).

[0136] Electronic device 101 can generate abbreviated question and answer data, which is abbreviated from at least a portion of the question or answer data in the question and answer data.

[0137] In one embodiment, electronic device 101 can abbreviate question-and-answer data to generate abbreviated question-and-answer data. The abbreviated question-and-answer data can be generated when the length of the original question-and-answer data exceeds a specified critical length. In this case, electronic device 101 can analyze the answer data to determine the portion to be abbreviated.

[0138] In one embodiment, electronic device 101 can extract a portion of the answer data within a defined length to generate abbreviated question-and-answer data. For example, electronic device 101 can extract a specified fixed length from the beginning of the answer data to generate abbreviated question-and-answer data.

[0139] In one embodiment, in addition to simply truncating text, the electronic device 101 can also abbreviate the answer information according to semantic units. For example, the electronic device 101 can recognize the important parts of the answer information and compile abbreviated question-and-answer information based on core information. The electronic device 101 can generate abbreviated information by truncating a region containing important content, rather than the beginning, as needed, within a fixed length. In one embodiment, the electronic device 101 can use various techniques besides simply truncating the length when abbreviating question-and-answer information. The electronic device 101 can analyze the logical structure of each answer information to recognize the main parts and exclude less important parts, thereby performing effective abbreviation.

[0140] In one embodiment, electronic device 101 can decompose answer data into individual sentences or semantic units, and reconstruct it by selecting important parts from the overall paragraph, thereby enabling the creation of abbreviated question-and-answer data. In another embodiment, electronic device 101 can use natural language processing algorithms to decompose text into semantic units and evaluate the importance of each unit. To this end, electronic device 101 can understand the theme of each sentence and select sentences containing important information from the overall paragraph of the document to create abbreviated question-and-answer data.

[0141] In one embodiment, electronic device 101 can perform keyword-based analysis, filtering only statements containing important keywords from the response data. This generates abbreviated question-and-answer data that retains essential information while excluding redundant parts. The importance of keywords can be evaluated using benchmarks such as TF-IDF values.

[0142] In one embodiment, electronic device 101 may extract the most important statements and reconstruct them into abbreviated text. The selection criteria for important statements may include criteria related to the position of each statement in the answer material, such as the beginning, middle, and end of a document.

[0143] In one embodiment, the electronic device 101 can abbreviate the answer information by analyzing the sentence based on the beginning and end of the words. For example, when important content is concentrated in the beginning or end of the answer information, abbreviation can be performed around that part to allow the user to obtain information efficiently. In this case, important content can be calculated based on the importance of keywords.

[0144] In one embodiment, electronic device 101 can structure and summarize the answer data. For example, text can be rearranged around important statements or keywords to produce abbreviated question-and-answer data in a structured form that includes only the core content. For example, statements including important keywords can be identified based on keyword evaluation, and the text of the answer data can be reconfigured accordingly.

[0145] In one embodiment, the electronic device 101 can determine the similarity between statements and group statements with similar content, and extract representative statements from each group to generate summary statements.

[0146] In one embodiment, the electronic device 101 may generate abbreviated question-and-answer data by selecting only statements containing keywords that have been filtered as important keywords. This can be achieved through keyword importance evaluation as described above, where statements containing keywords with higher importance can be included in the summary statement.

[0147] In one embodiment, electronic device 101 can reorder the text order of the response data. Electronic device 101 can calculate the importance of each statement and reorder the statements based on their importance to generate abbreviated response data summarizing the response data. For example, electronic device 101 can place statements with higher importance, including important information, at the beginning and generate abbreviated response data that truncates the reordered response data to a fixed length.

[0148] In one embodiment, electronic device 101 can select important statements after evaluating each statement in the response data, while also considering the connectivity between statements to generate abbreviated data. Electronic device 101 can select important statements based on the tokenization, morpheme analysis, sentence analysis, and semantic analysis of each statement or the words included in each statement.

[0149] In one embodiment, electronic device 101 may use keyword-based abbreviation techniques. Electronic device 101 can identify important keywords within each response and generate abbreviations by filtering only statements containing such keywords. The importance of keywords can be evaluated using TF-IDF values, document topic, and context analysis.

[0150] Electronic device 101 can also predefine important keywords corresponding to the categories of each question and answer. To this end, electronic device 101 can store a list of important keywords that repeatedly appear in answers belonging to a specific category. This list can be structured differently according to the category of the item or the category of the question and answer; for example, key keywords for electronic products may include "function," "battery life," and "performance." Electronic device 101 can refer to this list to evaluate the importance of the answer and determine which parts should be abbreviated.

[0151] In one embodiment, the electronic device 101 can analyze each response in real time to extract important keywords. To this end, the electronic device 101 can parse the response data and identify keywords in real time using importance evaluation criteria such as TF-IDF values. The response data is then reconstructed based on the extracted keywords, thereby generating question-and-answer data that is abbreviated to include only the main statements.

[0152] In one embodiment, the electronic device 101 can reflect the document structure of each question-and-answer document during the keyword filtering process. For example, importance can be calculated by giving higher importance to words located in important positions such as the title, first sentence, and last sentence. The electronic device 101 filters important keywords based on their position and frequency within the document, thereby enabling the creation of abbreviated question-and-answer documents that retain key information.

[0153] In one embodiment, the electronic device 101 can cluster answer data to group similar answer data and filter important keywords and phrases within each group to generate abbreviated data.

[0154] Electronic device 101 can display abbreviated question and answer information in the question and answer area (S730).

[0155] Electronic device 101 can display all question and answer data based on user input corresponding to the extended interface (S740).

[0156] In one embodiment, the electronic device 101 can convert abbreviated question-and-answer data into full question-and-answer data and display it in the question-and-answer area based on user input corresponding to the extended interface.

[0157] Figure 8 is a flowchart that schematically illustrates a method for selectively displaying question-and-answer data according to one embodiment of the present invention.

[0158] One embodiment of the present invention provides a method for selectively displaying question-and-answer information of an item, which may include actions S810, S820, S830 and / or S840.

[0159] The electronic device 101 can confirm the priority among one or more question-and-answer data corresponding to an item (S810).

[0160] The electronic device 101 can filter the question and answer data to be displayed in the question and answer area according to the priority of multiple question and answer data corresponding to the item.

[0161] In one embodiment, the electronic device 101 can, after confirming the priority of a plurality of question-and-answer data corresponding to an item, set a portion of the question-and-answer data to be displayed in the question-and-answer area in descending order of priority. For example, in an e-commerce website, the question-and-answer data with the highest purchase conversion rate can be displayed first, thereby allowing users to quickly find the answers they need.

[0162] In one embodiment, the electronic device 101 can determine the priority among one or more question-and-answer data corresponding to the aforementioned item. For example, when each question-and-answer data is displayed in the question-and-answer area, the priority can be determined based on the rate at which customers purchase the aforementioned item.

[0163] In one embodiment, electronic device 101 can determine priority based on customer ratings of one or more question-and-answer profiles. For example, the ratings can be analyzed based on the number of times a customer clicks the "Very Good" button. In another embodiment, electronic device 101 can analyze customer ratings to prioritize question-and-answer profiles that receive high ratings. For example, it can detect upstream question-and-answer profiles based on "Very Good" buttons or 5-star ratings and display them to the user first.

[0164] In one embodiment, the electronic device 101 can determine priority based on the number of answers included in the question-and-answer data. For example, questions with more answers to a particular question can be judged to have higher priority. In another embodiment, the electronic device 101 can consider the number of answers to a question to assign priority. For example, when there are multiple answers corresponding to a particular question, it can be determined that the question has received more user attention and displayed at the top of the question-and-answer area.

[0165] In one embodiment, the electronic device 101 can extract one or more keywords from question-and-answer data and determine priorities based on the extracted keywords. For example, keywords can be extracted from question-and-answer data corresponding to a specific customer based on user profiles and customer information, and priorities can be assigned based on these keywords. In one embodiment, the electronic device 101 can determine priorities based on keywords extracted from question-and-answer data. For example, question-and-answer data where a specific keyword frequently appears can be determined to have a higher priority. Specific keywords can be determined by corresponding to the main keywords extracted from question-and-answer data corresponding to items of the same or similar categories. Methods similar to those described above can be used for filtering main keywords.

[0166] In one embodiment, the electronic device 101 can select similar items based on the item's attribute information and extract keywords from the question-and-answer data corresponding to these similar items. Subsequently, the priority of each question-and-answer data can be determined based on the extracted keywords. In another embodiment, the electronic device 101 can analyze and utilize the question-and-answer data of similar items based on the item's attribute information. For example, it can extract question-and-answer data for other goods in similar categories and prioritize displaying question-and-answer data that matches the item's characteristics based on the keywords included in that data.

[0167] In one embodiment, the sensitivity of each keyword attribute of a user can be calculated by considering past inquiry data and purchase history of the user or customer, and the weight value of each extracted keyword can be determined based on the sensitivity. Then, the priority corresponding to each of one or more question-and-answer data is determined based on the weight value and the extracted keywords. In one embodiment, the electronic device 101 can analyze the user's preferred topics or keywords based on the user's past inquiry data and purchase history. Then, based on this information, the sensitivity to specific keywords is calculated, and weight values ​​are assigned to each keyword to determine the priority of the question-and-answer data. For example, in the case of a user who frequently buys athletic shoes, question-and-answer data including the keyword "size" can be set to a higher priority. In one embodiment, the sensitivity of each keyword attribute can be calculated based on the history of past inquiry data written by the user and the user's return or exchange history. For example, in the user's past inquiry data, the keywords included in the inquiry data of items that the user has returned or exchanged in the past are more likely to have keyword attributes that are keywords with higher sensitivity to the user. Electronic device 101 can analyze query data corresponding to items with a history of past returns or exchanges by users, and extract keywords that are sensitive to user responses based on this data. Electronic device 101 can determine the priority of each query and answer data based on the extracted keywords.

[0168] In one embodiment, the electronic device 101 can analyze customer search pattern data to determine priorities. For example, it can analyze the frequency of customer search terms for specific items and prioritize question and answer data based on frequently searched keywords. For example, when the keyword "durability" is frequently searched for for a specific item, question and answer data including that keyword can be displayed first.

[0169] In one embodiment, electronic device 101 can use temporary trend data to determine the priority of question-and-answer data. For example, frequently asked questions during a specific season or event period can be prioritized. In winter, trends can be reflected by prioritizing the display of question-and-answer data related to "warmth protection".

[0170] In one embodiment, electronic device 101 can analyze opinion data on social media to determine the priority of question-and-answer data. For example, it can analyze frequently mentioned keywords on social media platforms and filter question-and-answer data accordingly. Question-and-answer data including keywords closely related to positive reviews of a specific item can be prioritized for display.

[0171] In one embodiment, the electronic device 101 can analyze data traffic over a specific period to determine priorities. For example, priorities can be assigned based on the number of visitors and dwell time on pages containing specific question-and-answer information. Question-and-answer information on pages with longer dwell times and more visitors is displayed first, thereby helping users easily find relevant information.

[0172] In one embodiment, the electronic device 101 can prioritize based on the results of user feedback questionnaires. For example, it can prioritize displaying the most useful Q&A information based on user feedback. This allows for the provision of more useful information that reflects user opinions.

[0173] In one embodiment, the electronic device 101 can determine the priority of question-and-answer data based on the response data of each device. For example, the responses between mobile phone devices and PC users can be analyzed to display optimized question-and-answer data for each device. The user experience can be improved by prioritizing the display of frequently viewed queries on the mobile phone screen.

[0174] In one embodiment, the electronic device 101 can prioritize data based on reliability evaluation data. For example, the reliability of question-and-answer data, including expert reviews or certified user reviews, can be evaluated to prioritize data with higher reliability. This allows for the provision of more reliable information to the user.

[0175] In one embodiment, the electronic device 101 is capable of generating first page information by displaying priority-based question and answer data in the question and answer area.

[0176] Electronic device 101 can select at least a portion of the question-and-answer data based on priority (S820). Electronic device 101 can select a specified number of question-and-answer data in descending order of priority.

[0177] The electronic device 101 is capable of generating first page information in such a way that at least a portion of the selected question and answer data is displayed in the question and answer area (S840).

[0178] The method of this invention can be implemented by a computer. The computer may include, for example, a device capable of performing processing. In this invention, the steps of the method are shown and described in a prescribed order, but the steps may be performed sequentially or in any combination that can be made according to the invention. In one embodiment, at least some steps may be performed in parallel, repeatedly, or heuristically. This invention does not preclude variations or modifications to the method. In one embodiment, at least some steps may be omitted, or other steps may be added.

[0179] Various embodiments of the present invention can be implemented in the form of software recorded on a machine-readable recording medium. The software can be software used to implement the various embodiments of the present invention described above. The software can be deduced by a programmer skilled in the art based on the various embodiments of the present invention. For example, the software can be machine-readable commands (e.g., code or code segments) or programs. The machine is a device capable of operating by commands invoked from the recording medium, such as a computer. In one embodiment, the machine can be a device of an embodiment of the present invention. In one embodiment, the processor of the machine executes the invoked command, thereby enabling the components of the machine to perform functions corresponding to the command. In one embodiment, the processor can be a processor of an embodiment of the present invention. The recording medium can refer to all kinds of recording media that store data that can be read by a machine. Recording media may include, for example, ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc. In one embodiment, the recording medium can be memory. In one embodiment, the recording medium can also be implemented in the form of being distributed across computer systems connected to a network. Software is distributed and stored across computer systems and executed. The recording medium can be a non-transitory recording medium. A non-transitory recording medium refers to a tangible medium that exists regardless of whether the data is stored semi-permanently or temporarily, and does not include transiently transmitted signals.

[0180] The technical concept of the present invention has been described above through various embodiments. However, the technical concept of the present invention includes various substitutions, variations, and modifications that can be understood by those skilled in the art within which the present invention pertains. Furthermore, it should be understood that such substitutions, variations, and modifications may be included within the scope of the appended patent applications. The embodiments of the present invention can be combined with each other. The embodiments can be combined in various ways depending on the number of cases, and the combined embodiments also fall within the scope of the present invention.

[0181] 101,200: Electronic devices 102: User Terminal 210: Processor 220: Memory 230: Communication Interface 400: Page 1 410: Question and Answer Area 413,423: User Interface 420a, 420b, 430: Q&A Materials 421a: Extended Interface 421b: Shrink the interface 600: Page 2 610: Reporting Interface 620: Question 1 Answer Material 630: Question 2 Answer Material S310, S320, S330, S340, S710, S720, S730, S740, S810, S820, S830: Actions

Claims

1. A method for displaying question-and-answer information about an item, implemented via an electronic device, comprising the following steps: obtaining from a user terminal a connection request from a user terminal for a first page including details of the item; identifying a plurality of question-and-answer data corresponding to the item; calculating the similarity between a plurality of queries included in the plurality of question-and-answer data; merging at least a portion of the plurality of question-and-answer data into a single question-and-answer data based on the similarity between the plurality of queries; generating first page information for outputting the first page such that at least a portion of the first page includes a question-and-answer area for displaying the plurality of question-and-answer data including the merged single question-and-answer data; and transmitting the first page information to the user terminal; wherein the plurality of question-and-answer data includes the plurality of queries, and the plurality of queries includes one or more customer-written queries about the item. When there is one or more answers corresponding to the above-mentioned plurality of inquiry data, the above-mentioned one or more answers shall be included.

2. The method of request item 1, wherein the step of generating the aforementioned first page information includes the following steps: confirming whether the length of the aforementioned question and answer data is greater than or equal to a specified length; if the length of the aforementioned question and answer data is greater than or equal to a specified length, generating abbreviated question and answer data; and generating the aforementioned first page information by displaying the abbreviated question and answer data in the aforementioned question and answer area and displaying an extended interface in at least a portion of the aforementioned question and answer area; and the aforementioned question and answer area is configured such that: all of the aforementioned question and answer data is displayed based on user input corresponding to the aforementioned extended interface.

3. The method of claim 2, wherein the step of generating the above-mentioned abbreviated question and answer data includes the following steps: dividing the above-mentioned question and answer data into segments of length less than the specified length to generate the above-mentioned abbreviated question and answer data.

4. The method of claim 2, wherein the step of generating the above-mentioned abbreviated question and answer data includes the following steps: analyzing the above-mentioned question and answer data; and generating abbreviated question and answer data summarizing the above-mentioned question and answer data based on the analysis of the above-mentioned question and answer data.

5. The method of request item 1, wherein the step of generating the aforementioned first page information includes the following steps: determining the priority among one or more question-and-answer data identified corresponding to the aforementioned item; selecting at least a portion of the question-and-answer data to be displayed in the aforementioned question-and-answer area based on the aforementioned priority; and generating the aforementioned first page information in such a manner as to display the selected at least a portion of the question-and-answer data in the aforementioned question-and-answer area.

6. The method of request item 5, wherein the step of determining the priority among the above-mentioned one or more Q&A data includes the following steps: when each of the above-mentioned one or more Q&A data is displayed in the above-mentioned Q&A area, the priority is determined based on the rate at which customers purchase the above-mentioned items.

7. The method of request item 5, wherein the step of determining the priority among the above-mentioned one or more Q&A materials includes the following steps: determining the priority based on the evaluation data of one or more customers on each of the above-mentioned one or more Q&A materials.

8. The method of request item 5, wherein the step of determining the priority among the above-mentioned one or more question and answer materials includes the following steps: determining the priority among the above-mentioned one or more question and answer materials based on the number of the above-mentioned answer materials included in the above-mentioned question and answer materials.

9. The method of request item 5, wherein the step of determining the priority among the above-mentioned one or more question and answer materials includes the following steps: extracting one or more keywords from the above-mentioned one or more question and answer materials; and determining the priority of each of the above-mentioned one or more question and answer materials based on the extracted keywords.

10. The method of request item 9, wherein the step of extracting one or more keywords includes the following steps: selecting at least a portion of the one or more customers based on the information of the user and the information of the one or more customers; and extracting one or more keywords from the question and answer data corresponding to the selected at least a portion of the customers.

11. The method of request item 9, wherein the step of extracting one or more keywords includes the following steps: selecting one or more similar items that are similar to the above item based on the attribute information of the above item; and extracting one or more keywords from the question and answer data corresponding to the above item and the one or more similar items.

12. The method of request item 9, wherein the step of extracting one or more keywords includes the following steps: selecting one or more similar items that are similar to the above item based on the attribute information of the above item; and extracting one or more keywords from the question and answer data corresponding to the above item and the one or more similar items.

13. The method of Request 9, wherein the step of determining the priority based on the extracted keywords includes the following steps: calculating the sensitivity of each keyword attribute of the user based on at least a portion of the user's past inquiry data, the user's purchase history, and the attribute information of the item; determining the weight value of each of the extracted keywords based on the sensitivity; and determining the priority corresponding to each of the one or more question and answer data based on the weight value and the extracted keywords.

14. The method of claim 1, wherein the first page includes at least a portion of the question and answer area for receiving a user's connection request to the second page; and the method further includes the steps of: receiving a user's connection request to the second page; and generating second page information for outputting the second page in such a way as to display a list of all question and answer information for the item on the second page.

15. An electronic device comprising: One or more processors; one or more memory stores commands to be executed by the one or more processors; and the electronic device is configured such that, when the commands are executed by the one or more processors, the one or more processors perform the method of any one of claims 1 to 14.

16. A non-transitory computer-readable recording medium that records commands, when executed by one or more processors, to cause the one or more processors to perform actions, wherein the commands are configured to cause the one or more processors to perform a method as described in any one of claims 1 to 14.

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