KR102499171B1 - Method and apparatus for searching item based on point score - Google Patents

Abstract

The present invention is a point score-based item search method comprising: obtaining desired point score information from a user terminal; deriving an item list based on the desired point score information from a database; and a specific item in the item list from the user terminal. obtaining selection information for and providing detailed information on the specific item to the user terminal, wherein the item list includes information on a plurality of items, and the information on the item includes the item includes sales price information and expected point score information to be provided when the item is sold, the expected point score information is determined based on expected operating profit information when the item is sold, and the item list is the desired It is characterized in that the information on the plurality of items is aligned based on the point score information and the expected point score information.

Description

Point score-based item search method and apparatus {METHOD AND APPARATUS FOR SEARCHING ITEM BASED ON POINT SCORE}

The present invention relates to a point score-based item search method and apparatus, and more particularly, to a method and apparatus for deriving and providing an item list satisfying a specific condition in consideration of point scores.

In the recent information age, a vast amount of information is pouring in. Accordingly, search methods or techniques capable of extracting necessary information from a vast amount of information, that is, information desired by a user, are becoming important.

Such search technology is recognized as an important task not only to search in general portals and to use big data including unstructured data, but also to search technology customized to a specific field or specific user, and related research and discussion continue. It is becoming.

Publication No. 10-2014-0084403 (published on July 7, 2014)

An object of the present invention to solve the above problems is to provide a point score-based item search method.

Another object of the present invention to solve the above problem is to provide a point score-based item search device.

An item search method according to an embodiment of the present invention for achieving the above object includes obtaining desired point score information from a user terminal, deriving an item list based on the desired point score information from a database, and the user terminal. obtaining selection information on a specific item in the item list from a terminal and providing detailed information on the specific item to the user terminal, wherein the item list includes information about a plurality of items; The information on the item includes sales price information of the item and expected point score information to be provided when the item is sold, and the expected point score information is determined based on expected operating profit information when the item is sold. In the item list, information on the plurality of items may be arranged based on the desired point score information and the expected point score information.

Here, the operating profit information may be determined based on average operating profit rate information of a seller of the item and sales price information of the item.

Here, the expected point score information may be derived by multiplying the operating profit information by a point score calculation coefficient.

Here, the point score calculation coefficient may be determined based on at least one of information about a seller of the item and information about the user terminal.

Here, obtaining additional search information from the user terminal, deriving a new item list from the item list based on the additional search information, and updating the item list with the new item list, The additional search information may include at least one of sales price information, additional desired point score information, information on a seller, and keyword information.

Here, when the number of items in the updated item list is greater than a preset number, the method may further include transmitting inquiry information about whether to perform an additional search to the user terminal.

Here, some of the same items having the same expected point score are represented as one item in the item list, and some of the same items having different expected point score information based on the information on the seller among the same items are displayed as one item in the item list. It can be represented as a separate item in the item list.

The method may further include obtaining target point point information and set purchase wish information from the user terminal and deriving an item set list from the database based on the target point point information, wherein the item set in the item set list is included. is total point point information obtained by summing up all expected point point information of items in the item set is greater than the target point point information, and the item set list is total sales price information obtained by summing all sales price information of items in the item set. can be sorted in descending order.

Here, the method may further include deriving remaining point point information based on the desired point point information and the expected point point information of the specific item.

An item search apparatus according to an embodiment of the present invention for achieving the above object includes a processor and a memory storing at least one command executed by the processor, wherein the at least one command Execute to obtain desired point score information from a user terminal, execute to derive an item list based on the desired point score information from a database, and acquire selection information for a specific item in the item list from the user terminal. , Executed to provide detailed information on the specific item to the user terminal, wherein the item list includes information on a plurality of items, and the information on the item includes sales price information of the item and where the item will be sold. and expected point score information to be provided when the item is sold, wherein the expected point score information is determined based on expected operating profit information when the item is sold, and the item list includes the desired point score information and the expected point score information. Based on this, information about the plurality of items may be sorted.

Here, the operating profit information may be determined based on average operating profit rate information of a seller of the item and sales price information of the item.

Here, the expected point score information may be derived by multiplying the operating profit information by a point score calculation coefficient.

Here, the point score calculation coefficient may be determined based on at least one of information about a seller of the item and information about the user terminal.

Here, the at least one command is executed to obtain additional search information from the user terminal, to derive a new item list based on the additional search information from the item list, and to convert the item list into the new item list. The additional search information may include at least one of sales price information, additional desired point score information, information on a seller, and keyword information.

Here, when the number of items in the updated item list is greater than a preset number, the at least one command may be executed to transmit inquiry information about whether to perform an additional search to the user terminal.

Here, some of the same items having the same expected point score are represented as one item in the item list, and some of the same items having different expected point score information based on the information on the seller among the same items are displayed as one item in the item list. It can be represented as a separate item in the item list.

Here, the at least one command is executed to obtain target point point information and set purchase desire information from the user terminal, and to derive an item set list based on the target point point information from the database, and to derive the item set list from the database. In the item set in the list, the total point point information obtained by summing up all expected point point information of the items in the item set is greater than the target point point information, and the item set list is obtained by summing all selling price information of the items in the item set. Total sales price information may be sorted in descending order.

Here, the at least one command may be executed to derive remaining point point information based on the desired point point information and the expected point point information of the specific item.

According to the present invention, it is possible to provide a point score-based search rather than a simple price-based search for numerous items.

According to the present invention, after searching for items capable of acquiring necessary points, it is possible to provide a customized detailed search function by further searching with additional conditions in search results.

According to the present invention, as a user selects a specific item, the remaining points can be automatically calculated and provided repeatedly until the required points are satisfied.

1 is a diagram illustrating an item list according to point score-based item search according to an embodiment of the present invention.
2 is a diagram illustrating an item set list according to item search based on point scores according to an embodiment of the present invention.
3 is a block diagram of a point score-based item search apparatus according to an embodiment of the present invention.
4 is a flowchart of a point score-based item search method according to an embodiment of the present invention.

Since the present invention can make various changes and have various embodiments, specific embodiments are illustrated in the drawings and described in detail. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention. Like reference numbers have been used for like elements throughout the description of each figure.

Terms such as first, second, A, and B may be used to describe various components, but the components should not be limited by the terms. These terms are only used for the purpose of distinguishing one component from another. For example, a first element may be termed a second element, and similarly, a second element may be termed a first element, without departing from the scope of the present invention. The term “and/or” includes any combination of a plurality of related listed items or any of a plurality of related listed items.

It is understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle. It should be. On the other hand, when an element is referred to as “directly connected” or “directly connected” to another element, it should be understood that no other element exists in the middle.

Terms used in this application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, the terms "include" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the present application, they should not be interpreted in an ideal or excessively formal meaning. don't

Hereinafter, with reference to the accompanying drawings, preferred embodiments of the present invention will be described in more detail. In order to facilitate overall understanding in the description of the present invention, the same reference numerals are used for the same components in the drawings, and redundant descriptions of the same components are omitted.

1 is a diagram illustrating an item list according to point score-based item search according to an embodiment of the present invention.

Referring to FIG. 1 , an embodiment of the present invention may perform a search by obtaining search-related information from a user terminal, and may derive an item list as a search result and provide it to the user terminal. Here, the search may be performed on information about items stored in the database, but is not limited thereto, and is also performed on information about items on a website linked through wired or wireless communication or in an internal or external storage device. It can be. In addition, the item may represent various products that can be sold/purchased or transferred, and are not limited to personal property. Also, the item may include the right to receive a specific service. Also, here, search-related information may include various pieces of information that can be obtained from a user terminal for search.

For example, the search-related information may include desired point score information. Here, the desired point score information may include information on the point score that the user hopes to acquire through purchase of an item, and conditions such as a condition lower than or equal to the point score, a lower condition, a condition equal to or higher, or a condition higher than the point score. information may also be included. Alternatively, the desired point score information may include information on a range condition. In this case, two pieces of score information may be obtained from the user terminal, and the desired point point information may include the obtained two pieces of point information and information on a range condition. Even in this case, information on conditions such as low or equal condition, low condition, high or equal condition, or high condition may be used for each of the two score information to be used at both ends of the range, as described above.

For example, the search-related information may include additional search information. Here, the additional search information may include at least a part of sales price information, information on a seller, keyword information, and the like, as well as additional desired point score information.

That is, in one embodiment, an item list may be derived by primarily searching based on desired point score information, and then additional searching may be performed based on additional search information. For example, in one embodiment, the above-described additional search information may be obtained from a user terminal for additional search, and a new item list may be derived based on the additional search information from an item list derived through a primary search. there is. In addition, the primarily searched item list may be updated with the derived new item list.

In one embodiment, additional search information may be repeatedly obtained from the item list. In other words, a detailed search may be continuously performed for items in the item list as a search result.

In addition, for this additional search, an embodiment may transmit inquiry information about whether to proceed with an additional search after a primary search or an additional search to the user terminal. For example, in one embodiment, when the number of items in the item list derived by the primary search or additionally searched is greater than the preset first number, information about whether to proceed with the additional search is sent to the user terminal. can provide Or, for example, in one embodiment, when the number of items in the item list derived by the primary search or additionally searched is less than the preset second number and additional search information is obtained from the user, additional search information is obtained. Information that the number of items in the item list is small before the search is performed, information that an appropriate item may not be included in the item list when additional search is performed, or information that additional search is unnecessary may be provided to the user terminal. However, even in this case, when information that an additional search will be performed is obtained from the user terminal, the additional search may be performed.

Since information included in the above-described search-related information is an example for explaining an operation of an embodiment, it is obvious that various types of information other than the above-described information may be included as search-related information. That is, the search-related information may include item registration date information, review number information, rating information, or sales number information, but is not limited thereto.

Referring to FIG. 1 , according to an exemplary embodiment, an item list, which is a search result, may include various item-related information and be listed. For example, the item list may include at least one of an image of an item, a name of the item, brief information about the item, a point score, a selling price, and a seller, and various other information may be listed. Here, the information about the item may represent information including at least some of the above information. In addition, the item list may be configured according to the arrangement of each item shown in FIG. 1, but since this is an example, it may be changed according to settings.

In addition, an embodiment may obtain selection information on a specific item among items in the item list from a user terminal, and in this case, detailed information on the specific item may be provided to the user terminal. Here, the detailed information may include information about the above-described item, and in addition to this, more detailed item specifications or related information may be included. For example, the detailed information includes not only the specifications of the detailed item, but also information about items purchased together by other users who purchased the specific item, and other items having the same point score information as the point score information of the specific item. information, information on an item having the lowest selling price among other items having the same point score information, or other users' information such as ratings of other users who have purchased the specific item.

Also, in the item list according to an embodiment, information about a plurality of items in the item list may be arranged based on the desired point score information and the expected point score information. For example, a plurality of items having expected point score information higher than the desired point score information may be included in an item list, and among them, expected point score information may be arranged in descending order. Alternatively, selling price information may be arranged in descending order. Alternatively, after the predicted point score information is primarily sorted in the order of lowest, sales price information among items having the same expected point score may be secondarily sorted in the lower order. Alternatively, for example, a plurality of items having expected point score information higher than the desired point score information as well as a plurality of items having expected point score information lower than the desired point score information may be included in the item list. It can be sorted in order close to desired point score information. Alternatively, after expected point score information is primarily sorted in an order close to desired point score information, sales price information among items having the same expected point score may be secondarily sorted in descending order.

Also, for example, some items having the same expected point score among identical items in the item list may be represented as one item. Alternatively, among the same items in the item list, some other items having different expected point score information based on information on the seller may be displayed as separate items. In this case, items indicated as separate items may be arranged in ascending order of point score information.

In one embodiment of the present invention, the search may use point score information in addition to the method using information such as item price information or keyword information as described above. For example, point score information of an item may indicate expected point score information expected to be provided to a user or a user terminal when the item is sold, and may be distinguished from selling price information of the item.

For example, point score information of an item may be determined based on expected business profit information when the item is sold. Here, the operating profit information may be individually determined for each item, but may also be determined for each vendor. For example, when the operating profit information is individually determined for each item, the operating profit information may be determined based on selling price information of each item or cost processing information according to the item. Alternatively, for example, when the operating profit information is determined for each seller, it may be determined based on average operating profit ratio information of the seller and sales price information of the item.

For example, point score information of an item may be determined based on operating profit information and point score calculation coefficient information determined as described above. Alternatively, point point information of an item may be derived through multiplication of operating profit information and point point calculation coefficient information.

Here, the point score calculation coefficient may be a specific value that is collectively set in advance, but may be determined based on information about a seller and/or information about a user. That is, the point score calculation coefficient may vary for each vendor and/or user. For example, vendors and/or users may have a plurality of rating systems. That is, a seller may be a seller of any one grade among a plurality of grades, and a user terminal may also be a user's terminal of any one grade among a plurality of grades. In this case, a vendor coefficient may be derived according to the vendor's rank, or a user coefficient may be derived according to the user's rank, and the point score calculation coefficient may be determined based on the vendor coefficient and/or the user coefficient. Here, a salesperson coefficient according to a seller class and/or a user coefficient according to a user class may be derived based on a preset table. For example, a vendor rating or a vendor coefficient may represent information on a vendor, and a user rating or user coefficient may represent information on a user terminal. Alternatively, the vendor coefficient and/or the user coefficient may be determined by further considering the total number of items sold/purchased or the total price of items for a certain period of time. That is, it may be determined by further considering recent history information. Here, the predetermined period may be determined as any one of recent one week, one month, three months, six months, or one year. In this case, the seller coefficient and/or the user coefficient may be determined based on grade information and recent history information, and the table may be classified according to grade and recent history, and the coefficient may be determined. Alternatively, for example, the seller coefficient and/or the user coefficient may be determined by further considering the total number of sold/purchased items or the total price of items. That is, it may be determined by further considering history information accumulated up to now. In this case, the vendor coefficient and/or the user coefficient may be determined based on accumulated history information, and the table may be classified according to accumulated history and the coefficient may be determined. Alternatively, for example, the vendor coefficient and/or the user coefficient may be determined based on at least one of rating information, recent history information, and accumulated history information. Here, the accumulated history information may be history information accumulated up to the present as described above, but may also be history information from thereafter to the present when a point score reaches a certain point (when a reward is received). For example, the point score calculation coefficient may be derived based on a weighted-sum and/or a weighted-average between a vendor coefficient and a user coefficient.

That is, since point point information of an item may be determined as described above, it may be different from selling price information of the item, and may be proportional to or not proportional to each other.

Alternatively, for example, an embodiment may derive remaining point point information based on the desired point point information and the expected point point information of the specific item, and may provide the remaining point point information to the user terminal. That is, in one embodiment, whenever specific items are selected by the user terminal based on the desired point score information input by the user terminal, the expected point score information of the specific item is subtracted from the desired point score information to obtain remaining point score information. It can be automatically calculated, and it can be displayed or provided to the user terminal immediately. This configuration may be performed each time the user selects a plurality of items in succession, and may be continuously performed until the total expected point score information of the selected items is greater than or equal to the desired point score information. there is.

2 is a diagram illustrating an item set list according to item search based on point scores according to an embodiment of the present invention.

According to an embodiment of the present invention, target point score information and set purchase desired information may be obtained from a user terminal, and a set search may be performed based on this. That is, an embodiment may derive an item set list from a database based on the target point score information. Here, the item set list may represent item sets set by the seller, but may be an item set derived by combining items included in the database, and in this case, the item set may be combined with items sold by the same seller. However, it may be combined with items sold by other vendors. Also, here, the target point score information may include information on the point score that the user hopes to acquire through the purchase of an item set, and is identical to the above-described desired point score information in that it is information on the point score the user hopes to acquire. may be used in combination.

The set search according to an embodiment of the present invention may be provided as a function separate from the item search based on the above-described desired point score information, but also as a filtering option when searching for an item based on the above-described desired point score information. A set may also be set to be searched together, and in this case, the item list may include an item set list.

Referring to FIG. 2 , the item set list may be listed by including various item-related information. For example, the item set list may include at least one of an image bundle of items in the item set, names of items in the item set, a total point score of items in the item set, and a total selling price of items in the item set. , In addition to this, it can be listed including various information. Here, the information about the item set may represent information including at least some of the above-described information. In addition, the item set list may be configured according to the arrangement of each item shown in FIG. 1, but since this is an example, it may be changed according to settings.

For example, item sets in the item set list may be configured in consideration of the same category, the same series, or purchase history of different users together, and the total point score information obtained by summing all expected point score information of the items in the item set. may be configured to be greater than or greater than or equal to the target point score information.

Also, the item sets in the item set list may be arranged in the order of lowest total sales price information obtained by summing all sales price information of the items in the item set. Alternatively, the total point score information may be primarily sorted in a low order (ie, an order close to the target point score), and then the total selling price information may be sorted in the lowest order. Alternatively, the items in the item set may be additionally arranged in an order of a small number of items.

3 is a block diagram of a point score-based item search apparatus according to an embodiment of the present invention.

Referring to FIG. 3 , a point-based item search apparatus 300 according to an embodiment of the present invention may include at least one processor 310, a memory 320, and a storage device 330. For example, a point-based item search device may be recognized as a server, may be provided to a user terminal through wired/wireless communication, and functions may be provided through an application. Also, for example, a user terminal may represent a device capable of computing, such as a desktop computer, a laptop computer, a smart phone, or a tablet.

The processor 310 may execute program commands stored in the memory 320 and/or the storage device 330 . The processor 310 may refer to a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to the present invention are performed. The memory 320 and the storage device 330 may be composed of volatile storage media and/or non-volatile storage media. For example, the memory 320 may include read only memory (ROM) and/or random access memory (RAM).

The memory 320 may store at least one command executed through the processor 310 . The at least one command includes a command to obtain desired point score information from a user terminal, a command to derive an item list based on the desired point score information from a database, and a command to obtain selection information on a specific item in the item list from the user terminal. and a command to provide detailed information on the specific item to the user terminal. Here, the item list may include information about a plurality of items, and the information about the items may include sales price information of the item and expected point score information to be provided when the item is sold. Expected point score information may be determined based on expected operating profit information when the item is sold, and in the item list, information about the plurality of items is arranged based on the desired point score information and the expected point score information. It can be.

For example, the operating profit information may be determined based on average operating profit rate information of a seller of the item and sales price information of the item. Alternatively, for example, the expected point score information may be derived by multiplying the operating profit information by a point score calculation coefficient. Alternatively, for example, the point score calculation coefficient may be determined based on at least one of information about a seller of the item and information about the user terminal.

Or, for example, the at least one command includes a command to obtain additional search information from the user terminal, a command to derive a new item list based on the additional search information from the item list, and a command to convert the item list to the new item list. An update command may be further included. Here, the additional search information may include at least one of sales price information, additional desired point score information, information on a seller, and keyword information.

Or, for example, the at least one command may further include a command for transmitting inquiry information about whether to perform an additional search to the user terminal when the number of items in the updated item list is greater than a preset number. .

Alternatively, for example, some items having the same expected point score among the same items may be represented as one item in the item list, and among the same items having different expected point score information based on the information about the seller. Some other items may be represented as separate items in the item list.

Or, for example, the at least one command further includes a command for acquiring target point point information and set purchase desire information from the user terminal and a command for deriving an item set list based on the target point point information from the database. can do. Here, in the item set in the item set list, total point point information obtained by summing up all expected point point information of the items in the item set may be greater than the target point point information, and the item set list may include items in the item set. Total sales price information obtained by summing up all sales price information may be arranged in descending order.

Alternatively, for example, the at least one command may further include a command for deriving remaining point point information based on the desired point point information and the expected point point information of the specific item.

4 is a flowchart of a point score-based item search method according to an embodiment of the present invention.

Referring to FIG. 4 , the point score-based item search apparatus according to an embodiment of the present invention may obtain desired point score information from a user terminal (S410). Here, the desired point score information may include information on the point score that the user hopes to acquire through purchase of an item, and conditions such as a condition lower than or equal to the point score, a lower condition, a condition equal to or higher, or a condition higher than the point score. information may also be included. Alternatively, the desired point score information may include information on a range condition. In this case, two pieces of score information may be obtained from the user terminal, and the desired point point information may include the obtained two pieces of point information and information on a range condition. Even in this case, information on conditions such as low or equal condition, low condition, high or equal condition, or high condition may be used for each of the two score information to be used at both ends of the range, as described above.

The point score-based item search apparatus according to an embodiment of the present invention may derive an item list based on the desired point score information from a database (S420). For example, in the item list, information about a plurality of items in the item list may be arranged based on the desired point score information and the expected point score information. For example, a plurality of items having expected point score information higher than the desired point score information may be included in an item list, and among them, expected point score information may be arranged in descending order. Alternatively, selling price information may be arranged in descending order. Alternatively, after the predicted point score information is primarily sorted in the order of lowest, sales price information among items having the same expected point score may be secondarily sorted in the lower order. Alternatively, for example, a plurality of items having expected point score information higher than the desired point score information as well as a plurality of items having expected point score information lower than the desired point score information may be included in the item list. It can be sorted in order close to desired point score information. Alternatively, after expected point score information is primarily sorted in an order close to desired point score information, sales price information among items having the same expected point score may be secondarily sorted in descending order.

Also, for example, some items having the same expected point score among identical items in the item list may be represented as one item. Alternatively, among the same items in the item list, some other items having different expected point score information based on information on the seller may be displayed as separate items. In this case, items indicated as separate items may be arranged in ascending order of point score information.

The point score-based item search apparatus according to an embodiment of the present invention may obtain selection information on a specific item in the item list from the user terminal (S430), and send detailed information on the specific item to the user terminal. It can be provided (S440). Here, the detailed information may include information about the above-described item, and in addition to this, more detailed item specifications or related information may be included. For example, the detailed information includes not only the specifications of the detailed item, but also information about items purchased together by other users who purchased the specific item, and other items having the same point score information as the point score information of the specific item. information, information on an item having the lowest selling price among other items having the same point score information, or other users' information such as ratings of other users who have purchased the specific item.

The operation described together with FIG. 4 may be some of operations according to an embodiment of the present invention as an example. That is, it is obvious that the embodiment of the present invention can further perform various operations described in conjunction with FIGS. 1 to 3 even though they are not shown in FIG. 4 .

Operations according to embodiments of the present invention can be implemented as computer-readable programs or codes on a computer-readable recording medium. A computer-readable recording medium includes all types of recording devices in which data that can be read by a computer system is stored. In addition, computer-readable recording media may be distributed to computer systems connected through a network to store and execute computer-readable programs or codes in a distributed manner.

In addition, the computer-readable recording medium may include hardware devices specially configured to store and execute program instructions, such as ROM, RAM, and flash memory. The program command may include high-level language codes that can be executed by a computer using an interpreter or the like as well as machine code generated by a compiler.

Although some aspects of the present invention have been described in the context of an apparatus, it may also represent a description according to a corresponding method, where a block or apparatus corresponds to a method step or feature of a method step. Similarly, aspects described in the context of a method may also be represented by a corresponding block or item or a corresponding feature of a device. Some or all of the method steps may be performed by (or using) a hardware device such as, for example, a microprocessor, programmable computer, or electronic circuitry. In some embodiments, one or more of the most important method steps may be performed by such an apparatus.

In embodiments, a programmable logic device (eg, a field programmable gate array) may be used to perform some or all of the functions of the methods described herein. In embodiments, a field programmable gate array may operate in conjunction with a microprocessor to perform one of the methods described herein. Generally, methods are preferably performed by some hardware device.

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art will variously modify and change the present invention within the scope not departing from the spirit and scope of the present invention described in the claims below. You will understand that it can be done.

Claims (5)

A point score-based item search method performed by an item search apparatus including a processor, a memory storing at least one command executed through the processor, and a database storing information about items, the method comprising:
obtaining, by the processor, desired point score information from a user terminal;
deriving, by the processor, an item list from the database based on the desired point score information;
obtaining, by the processor, selection information on a specific item in the item list from the user terminal; and
Providing, by the processor, detailed information on the specific item to the user terminal;
The item list includes information about a plurality of items,
The information about the item includes sales price information of the item and expected point score information to be provided when the item is sold;
The expected point score information is determined based on expected operating profit information and a point score calculation coefficient when the item is sold,
The item list is characterized in that information about the plurality of items is arranged based on the desired point score information and the expected point score information,
The point score calculation coefficient is determined in a weighted-average method based on the sales coefficient of the seller and the user coefficient of the user,
The history information of the seller includes the total amount of items sold for the last 3 months, excluding the history information prior to the time of compensation, and the seller coefficient is the grade of the seller and the number of the seller among a plurality of candidate coefficients stored in the table. matched with candidate coefficients corresponding to the history information, and the vendor coefficient is determined as the matched candidate coefficient;
The user's history information includes the total amount of items purchased during the last 3 months, excluding history information prior to the time of compensation, and the user coefficient is the user's rating and the user's rank among a plurality of candidate coefficients stored in a table. matched with a candidate coefficient corresponding to the history information, and the user coefficient is determined as the matched candidate coefficient;
How to search for an item.
The method of claim 1,
The item search method, characterized in that the operating profit information is determined based on average operating profit rate information of a seller of the item and sales price information of the item. The method of claim 1,
obtaining, by the processor, additional search information from the user terminal;
deriving, by the processor, a new item list from the item list based on the additional search information; and
Updating, by the processor, the item list with the new item list;
The additional search information may include at least one of sales price information, additional desired point score information, information on a seller, and keyword information. The method of claim 3,
When the number of items in the updated item list is greater than a preset number, transmitting, by the processor, inquiry information on whether to proceed with additional search to the user terminal. . The method of claim 1,
The method further comprises deriving, by the processor, residual point point information based on the desired point point information and the expected point point information of the specific item.

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