JP2006172420A - Trade support method and device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a trade support method and a device for it for speedup of trade settled between an unspecified number of users. <P>SOLUTION: In the aspect of this implementation, not only pair information consisting of request information and offer information from users but also an established trade cycle are used, and consequently, the number of decisions for determining whether the request information matches the offer information or not can be reduced. Therefore, speedup of trade settled between an unspecified number of users can be attained. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a transaction support method and apparatus for speeding up a transaction established between an unspecified number of users.

In recent years, transactions established between an unspecified number of users on a network such as the Internet, for example, user A provides an article a to user B, user B provides an article b to user C, and user C Research for making a transaction such as providing the article c to the user A has been made, and Patent Document 1 describes the technique.
JP 2002-269385 A

  The computer determines whether or not a transaction as in the above example is possible, and if it is determined that the transaction is possible, notifies each user of that fact. At this time, the computer determines, for each user, whether another user requests an article provided by the user. This is called determining whether or not they match.

  Therefore, when the number of users and the number of articles increase, the number of times of determination as to whether or not there is a match increases, and as a result, determination as to whether or not a transaction is possible is delayed. Thereby, notification to each user is also delayed. In addition, when there are a large number of transactions that can be concluded between an unspecified number of users, it takes time to select an optimal one from among them, and there is a possibility that an actual transaction will be delayed.

  The present invention has been made in view of the above-described conventional problems, and an object of the present invention is to provide a transaction support method and apparatus for speeding up transactions established between an unspecified number of users. There is.

  In order to solve the above-described conventional problems, the first aspect of the present invention includes request information indicating a request target requested to be provided to a user and provided information indicating a target to be provided from the user. When the computerized transaction cycle detecting means detects a transaction cycle that is established by matching the request information and provision information of different user target information in the pair information for a specific number of users, an unestablished transaction cycle is The transaction cycle established by the unsettled transaction cycle stored in the stored unsuccessful transaction cycle storage means and the new pair information is detected.

  According to the present invention, by using not only the pair information but also an unsettled transaction cycle, it is possible to reduce the number of determinations as to whether or not the request information and the provided information match, and thus, between an unspecified number of users. It is possible to speed up the transactions that are established.

  In the second aspect of the present invention, an item priority is assigned to each item for the request target indicated by the request information, and the established transaction cycle detecting means detects a plurality of transaction cycles and calculates using the item priority. A transaction cycle is selected based on the degree of matches made.

  According to this invention, by detecting a plurality of transaction cycles and selecting a transaction cycle based on the degree of match calculated using the item priority, various transactions can be performed according to user values and the like. Cycles can be detected and the best one can be selected.

  Further, according to the third aspect of the present invention, any one of the request information and the provided information indicates a plurality of objects, and a transaction object importance is assigned to each object, and the successful transaction cycle detection means includes a plurality of transaction cycles. A transaction cycle is selected based on the degree of match detected and calculated using the transaction object importance.

  According to the present invention, by detecting a plurality of transaction cycles and selecting a transaction cycle based on the degree of match calculated using the transaction target importance, various transactions can be performed depending on the user's values and the like. The transaction cycle can be detected and the best one can be selected.

  The fourth aspect of the present invention further calculates the degree of matching.

  In the fifth aspect of the present invention, the established transaction cycle detection means selects a transaction cycle based on a predetermined rule.

  According to a sixth aspect of the present invention, there is provided user transaction information storage means for storing user transaction information that is information other than a user regarding a user transaction, and the established transaction cycle detection means detects a plurality of transaction cycles. The transaction cycle is selected based on the expected transaction establishment value calculated using the user transaction information.

  According to the present invention, by detecting a plurality of transaction cycles and selecting a transaction cycle based on the expected transaction establishment value calculated using the user transaction information, for example, other than a user such as an administrator or a trading partner By using information such as past information and information such as past transaction success rates, it is possible to select an optimal transaction cycle regardless of user values.

  The seventh aspect of the present invention is characterized in that user transaction information is updated with information obtained by a selected transaction cycle.

  According to the present invention, the user transaction information can be updated to a new one, and the new information among the information other than the user, such as the administrator and the trading partner, and the information such as the past transaction success rate can be used optimally. Will be able to select a different transaction cycle.

  According to the present invention, it is possible to reduce not only the pair information but also the number of judgments as to whether or not the request information and the provided information match by using an unsettled transaction cycle. It is possible to speed up the transactions that are established.

  In addition, by using user transaction information, the optimal transaction cycle can be selected without relying on the user's values, etc., using information from a person other than the user, such as an administrator or trading partner, and information such as past transaction success rates. it can.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[First Embodiment]
FIG. 1 is a system configuration diagram including a transaction support apparatus according to the first embodiment of the present invention.

  The transaction support device 1 is used by a user device 2 used by a user and other plural users (not shown) in order to support a transaction established between an unspecified number of users, particularly among three or more users. A plurality of user devices 2 that are not connected are connected via a network 3.

  The communication between the transaction support device 1 and the user device 2 requires user member registration, user authentication, and the like, but a description thereof will be omitted.

  The transaction support apparatus 1 includes an information transmission / reception unit 11 that transmits / receives information to / from the user apparatus 2, request information indicating a request target requested to be provided to the user, and provision information indicating a provision target that can be provided from the user. The pair information storage unit 12 in which the pair information consisting of the following is stored, and the established transaction that is a transaction cycle detecting means that detects a transaction cycle that is established when request information and provision information of different users in the pair information storage unit 12 match. A cycle detection unit 13; an unsuccessful transaction cycle storage unit 14 serving as an unsuccessful transaction cycle storage unit that stores unsuccessful transaction cycles; and an unsuccessful transaction cycle processing unit 15 that processes unsettled transaction cycles. A rule storage unit 16 for storing a rule for selecting a transaction cycle from a plurality of transaction cycles, request information and suggestions of different users. And a matching calculation means serving matching calculation unit 17 for calculating a degree of match between the information.

  The request information and provision information of different users match, for example, when the specification of the personal computer indicated by the provision information from user A satisfies the specification of the personal computer indicated by the request information from user A. .

  Moreover, the object of transaction here is not limited to goods, and services can also be objects of transaction.

  The user device 2 includes an information transmission / reception unit 21 that transmits / receives information to / from the transaction support device 1 and a pair information generation unit 22 that generates pair information. The pair information generation unit 22 performs transaction for each target when the item priority setting unit 221 assigns each item priority of the request information and the provision information, and any of the request information and the provision information indicates a plurality of targets. A transaction target importance level setting unit 222 for assigning a target importance level.

  FIG. 2 is a diagram illustrating an example of a storage method of unsettled transaction cycles in the unsettled transaction cycle storage unit 14.

  As shown in FIG. 2 (a), an unsuccessful transaction cycle ID indicating one or more unsettled transaction cycles having a common part is assigned to each request information and each provision information constituting the unsuccessful transaction cycle. To do. Such a form may be referred to as a hash table, and when request information or provision information is given, it can be detected at high speed which transaction cycle this constitutes.

  A plurality of unsettled transaction cycle IDs may be given to one piece of request information or provision information. This indicates that the request target indicated by the request information or the like may be traded in any of a plurality of transactions.

  Further, as shown in FIG. 2B, together with the incomplete transaction cycle ID, the priority for preferentially selecting the incomplete transaction cycle, the number of nodes in the incomplete transaction cycle, You may give the average of a grade.

[First embodiment]
Next, the operation of the first embodiment of the system of FIG. 1 will be described.

  In the user device 2, the pair information generation unit 22 generates pair information based on a user operation.

  For example, the pair information generation unit 22 generates pair information including request information indicating a personal computer and providing information indicating a transaction target provided by the user. Also, for example, the item priority order setting unit 221 assigns each item priority order of request information as shown in FIG.

  Then, the information transmitting / receiving unit 21 transmits the pair information to the transaction support apparatus 1.

  Moreover, in the other user apparatus 2, the pair information generation part 22 produces | generates pair information based on a user's operation.

  For example, the pair information generation unit 22 generates pair information including request information indicating a transaction target requested to be provided to the user and provision information indicating a personal computer. Further, for example, the pair information generation unit 22 generates pair information including provision information as illustrated in FIG.

  Then, the information transmitting / receiving unit 21 transmits the pair information to the transaction support apparatus 1.

  Moreover, in the other user apparatus 2, the pair information generation part 22 produces | generates pair information based on a user's operation.

  For example, the pair information generation unit 22 generates pair information including request information indicating a transaction target requested to be provided to the user and provision information indicating a personal computer. Further, for example, the pair information generation unit 22 generates pair information including provision information as illustrated in FIG. Then, the information transmitting / receiving unit 21 transmits the pair information to the transaction support apparatus 1.

  In the transaction support apparatus 1, each time the information transmitting / receiving unit 11 receives pair information, the pair information is stored and accumulated in the pair information storage unit 12.

  FIG. 4 is a flowchart of the first embodiment.

  When the paired information is received, the successful transaction cycle detecting unit 13 receives each request to which the request information of the pair information and the provided information are assigned the same unsuccessful transaction cycle ID in the unsuccessful transaction cycle storage unit 14. It is determined whether or not it matches any of the information and each provided information (step S1). If both do not match, the process ends. If only one does not match, the incomplete transaction cycle in the incomplete transaction cycle storage unit 14 is updated (step S3), and the process ends.

  Step S1 is performed because a successful transaction cycle can be detected only when both match.

  If it is determined in step S1 that both match, the successful transaction cycle detection unit 13 establishes a transaction cycle that is established by the unsuccessful transaction cycle stored in the unsuccessful transaction cycle storage unit 14 and the received pair information ( Hereinafter, an attempt is made to detect (successful transaction cycle) (step S5), and if not detected, the process ends.

  The successful transaction cycle can be detected as a problem of finding a cycle when the provision information and request information of the pair information are nodes and edges in the directed graph. Therefore, it is possible to use a technique that utilizes strongly connected components of graph theory.

  Since the established transaction cycle detection unit 13 detects all the established transaction cycles, for example, a plurality of established transaction cycles are detected.

  Now, when the completion transaction cycle detection part 13 detects a some completion transaction cycle, it selects the optimal completion transaction cycle in it (step S7).

  At the time of this selection, the match calculation unit 17 calculates the match degree fc in advance using each item priority of the request information.

For example, the match calculation unit 17 determines the degree of matching between the request information assigned the item priority shown in FIG. 3A and the provision information shown in FIG. It calculates with 0.255 like Formula (2).

Further, the degree of matching between the request information assigned the item priority shown in FIG. 3A and the provision information shown in FIG. 3C is expressed by the equation (1) as 0 (3). Calculate 06.

  That is, the greater the number of matching items, the higher the degree of matching. Also, the higher the priority (the smaller the numerical value), the higher the degree of matching.

  For example, a state as shown in FIG. 5 is maintained based on the degree of match calculated in this way and a plurality of successful transaction cycles.

  Next, the established transaction cycle detection unit 13 reads a rule from the rule storage unit 16, and selects an optimal established transaction cycle based on this rule.

  For example, an average of the degree of match is stored in advance in association with an unsatisfied transaction cycle, and a successful transaction cycle having a high average of the degree of match is selected from a plurality of detected successful transaction cycles. . In FIG. 5, a successful transaction cycle indicated by A → F → E → A is selected.

  Further, for example, the successful transaction cycle including the most pair information is selected. In FIG. 5, an established transaction cycle indicated by A → B → C → D → E → A and an established transaction cycle indicated by F → H → G → F are selected.

  In addition, you may select the completion transaction cycle with the high sum total of the degree of a match. Moreover, in order to reduce delivery cost, you may select the completion transaction cycle with which the geographical position between users is near.

  Next, the successful transaction cycle detector 13 disables the unsuccessful transaction cycle before the selected optimal successful transaction cycle (step S9).

  Next, the information transmitting / receiving unit 21 provides information to each user based on the selected successful transaction cycle (step S11).

  For example, information related to a transaction target provided or requested by another user or the user is provided to the user device 2 of the user corresponding to the selected successful transaction cycle.

  Next, if an actual transaction has not been completed (step S13: No), the incomplete transaction cycle that has been disabled is made available (step S15), and the process ends. On the other hand, if an actual transaction has been completed (step S13: Yes), the incomplete transaction cycle that has been disabled is deleted (step S17), and the process ends.

  Note that the processing in FIG. 4 may be performed for each piece of pair information received up to the preset time when the pair information is received, instead of performing the pair information every time the pair information is received.

[Second Embodiment]
Next, the operation of the second embodiment of the system of FIG. 1 will be described. Here, the difference from the operation of the first embodiment will be described.

  When pair information is generated by the user device 2 and the transaction object importance level setting unit 222 indicates that the request information indicates one object, the transaction information importance level is assigned to the object as a transaction object importance level. Indicates a plurality of targets, a transaction target importance is assigned to each target based on a user operation.

  For example, as shown in FIG. 6A, 10 is assigned as the transaction target importance level for the personal computer that is the target when the request information indicates one target. On the other hand, as shown in FIG. 6B, when the request information indicates a plurality of targets, 7 is assigned as the transaction target importance for the TV that is one target, and the printer that is the other target is assigned. Allocate 3 as the transaction target importance.

  In step S7, the match calculation unit 17 calculates the degree of matching fp between the request information and the provided information using the transaction object importance.

  For example, the match calculation unit 17 matches the degree of match = 10 between the request information assigned to the personal computer with the transaction object importance level “10” shown in FIG. calculate.

  Further, the match calculation unit 17 calculates the transaction target importance level “7” shown in FIG. 6B as the degree of match between the request information assigned to the television and the provision information targeted for the television = 7. .

  In addition, for example, the degree of matching of the request information assigned to the printer with the transaction object importance “3” shown in FIG. For example, a state as shown in FIG. 7 is maintained based on the degree of match calculated in this way and a plurality of successful transaction cycles.

  Next, the established transaction cycle detection unit 13 reads a rule from the rule storage unit 16, and selects an optimal established transaction cycle based on this rule.

  For example, a successful transaction cycle with a high average degree of match is selected. In FIG. 7, the average of the degree of match in the established transaction cycle indicated by C → D → E → F → C is equal to the average of the degree of match in the established transaction cycle information indicated by D → E → F → D. However, the former with more pair information is selected.

  Further, for example, the successful transaction cycle including the most pair information is selected. In FIG. 7, a successful transaction cycle indicated by A → B → C → D → E → F → G → A is selected.

  Also, for example, a successful transaction cycle with a high degree of the lowest match is selected. In FIG. 7, a successful transaction cycle indicated by A → B → C → G → A is selected.

  In addition, you may select the completion transaction cycle with the high sum total of the degree of a match. Moreover, in order to reduce delivery cost, you may select the completion transaction cycle with which the geographical position between users is near. Moreover, you may select the completion transaction cycle containing many good users.

  The operations other than those described here are the same as those in the first embodiment.

  Further, instead of assigning the transaction target importance level to each target indicated by the request information, the transaction target importance level for each target may be assigned when the provided information indicates a plurality of targets. Also, the transaction target importance may be assigned to each target indicated by the request information and each target indicated by the provision information, and the degree of match may be a product of them.

[Third embodiment]
Next, the operation of the third embodiment of the system of FIG. 1 will be described. Here, the difference from the operation of the first and second embodiments will be described.

  Pair information is generated by the user device 2 and, as shown in FIG. 8, each item priority is set and each trade target importance is assigned.

  Moreover, the match calculation part 17 calculates the degree (f) of a match using each item priority and each transaction object importance. The degree of matching at this time is f = αfc × βfp. Here, α and β are values for weighting or normalization, fc is the degree of matching in the first embodiment, and fp is the degree of matching in the second embodiment.

  The operations other than those described here are the same as those in the first and second embodiments. As described above, according to the first embodiment, it is possible to reduce not only the pair information but also the unsuccessful transaction cycle, and the number of determinations as to whether or not the request information and the provided information match. Thus, it is possible to speed up transactions that are established among an unspecified number of users.

  In addition, by detecting multiple transaction cycles and selecting the transaction cycle based on the degree of match calculated using the item priority, various transaction cycles can be detected according to the user's values etc. And you can choose the best one from them.

  In addition, by detecting multiple transaction cycles and selecting the transaction cycle based on the degree of match calculated using the transaction target importance, various transaction cycles can be detected according to user values Yes, and you can choose the best one.

Further, an optimal transaction cycle can be selected based on a predetermined rule. [Second Embodiment]
FIG. 9 is a system configuration diagram including a transaction support apparatus according to the second embodiment of the present invention.

  Here, differences from the first embodiment will be described.

  The transaction support device 1A according to the second embodiment is a user transaction information storage unit that stores user transaction information that is information by a user other than the user regarding the transaction support device 1 according to the first embodiment. A transaction information storage unit 18 and a user transaction information update unit 19 that updates user transaction information with information obtained by the established transaction cycle selected by the established transaction cycle detection unit 13 are provided. This is the same as in the first embodiment, and whether or not to provide the item priority setting unit 221 and the transaction target importance setting unit 222 in the pair information generation unit 22 of the user device 2 is arbitrary.

  Next, the operation of the second embodiment will be described.

  FIG. 10 is a flowchart of the second embodiment.

  In 2nd Embodiment, after step S15 or step S17, the user transaction information update part 19 uses the information obtained by the completion transaction cycle selected by the completion transaction cycle detection part 13 as user transaction information, and a user transaction information storage part 18 is stored (step S19), and the process is terminated. Thus, when sufficient user transaction information is stored in the user transaction information storage unit 18, the subsequent transaction cycle detection unit 13 uses a plurality of user transaction information in the user transaction information storage unit 18 in step S <b> 7. In the finalized transaction cycle, an optimal finalized transaction cycle is selected (step S7), and then in step S19, the user transaction information is updated with information obtained by the selected finalized transaction cycle.

  A specific example will be described.

  For example, it is assumed that a plurality of successful transaction cycles detected in step S5 have a relationship as shown in FIG.

  That is, it is assumed that the pair information storage unit 12 stores the pair information of the user A including request information that matches the provision information of the pair information of the user B stored in the pair information storage unit 12. Further, the past transaction success rate p of the user A for the genre to which the transaction object indicated by the provided information (request information) belongs is 1.0 (100%), and this is the user transaction information storage unit 18 as user transaction information. It is assumed that it is stored in Further, other transaction objects, other users, and other genres are assumed to be as shown in FIG.

In step S7, for each successful transaction cycle, equation (4)

Accordingly, the expected transaction value f is calculated.

In other words, the expected transaction value f for the successful transaction cycle represented by A → B → H → A is f = 1.0 × 0.9 × 0.7.
= 0.63
Is calculated.

Further, the expected transaction value f for the successful transaction cycle indicated by C → D → E → C is:
f = 0.9 × 0.8 × 1.0
= 0.72
Is calculated.

Further, the expected transaction value f for the successful transaction cycle indicated by B → C → D → E → B is:
f = 0.9 × 0.9 × 0.8 × 0.6
= 0.3888
Is calculated.

Further, the expected transaction value f for the successful transaction cycle indicated by A → B → C → D → E → F → G → H → A is:
f = 1.0 × 0.9 × 0.9 × 0.8 × 0.5 × 0.9 × 0.4 × 0.7
= 0.081648
Is calculated.

  Next, the established transaction cycle detection unit 13 reads a rule from the rule storage unit 16, and selects an optimal established transaction cycle based on this rule.

  For example, the successful transaction cycle having the highest expected transaction value f is selected. In FIG. 11, a successful transaction cycle indicated by A → B → H → A and a successful transaction cycle indicated by C → D → E → C are selected. These are both selected because they are closed transaction cycles that do not overlap each other. In addition, you may select each successful transaction cycle which does not mutually overlap in 1st Embodiment.

  Now, for example, in step S17 in the case where the transaction of the established transaction cycle indicated by A → B → H → A is actually established, the user transaction information updating unit 19 includes, for example, each of user A's user transaction information. Among the transaction success rates of the genre, the user transaction information is updated and stored in the user transaction information storage unit 18 so that the transaction success rate of the genre to which the provision target provided from the user B to the user A belongs is increased, and stored in the user transaction information storage unit 18. The same processing is performed for user transaction information of B and user H. Thereby, it becomes easy to select the completion transaction cycle about the user A, the user B, and the user H after the next time.

  On the contrary, in step S17 when the transaction in the established transaction cycle is not actually completed, the transaction success rate is updated to be low. This makes it difficult to select a successful transaction cycle for each user after the next time.

In addition, each user transaction information in the user transaction information storage unit 18 includes a reputation value r for a corresponding user by a user of a trading partner and an importance (contribution) c set by the administrator for the corresponding user. In this case, instead of formula (4), formula (5)

Accordingly, the transaction establishment expectation value f may be calculated.

  Here, pi is the aforementioned past transaction success rate, ri is the reputation value of each user, and ci is the importance of each user. That is, trades in a so-called normalized transaction cycle in which the constants α, β, and γ indicating the weights are multiplied by the transaction success rate, reputation value, and importance, respectively, and the constants X, Y, and Z are respectively multiplied, and the products thereof are normalized. It may also be used as the expected establishment value f. In this case, the higher the transaction success rate, the reputation value, and the importance, the higher the transaction establishment expected value f.

  In this case, in step S17 after the transaction is actually completed, the stored reputation value is updated with the reputation value of the user in the current transaction, if necessary. For example, the reputation value of the user in this transaction may be a new reputation value. Alternatively, the average of the stored reputation value and the current reputation value may be used as a new reputation value. Or it is good also considering the reputation value calculated by the weighting which attached importance to this reputation value as a new reputation value.

  If necessary, the importance level of the user may be updated in the same manner as the reputation value.

  Further, the expected transaction value may be calculated by an expression including only one or two of the term of transaction success rate, the term of reputation value, and the term of importance in Equation (5).

  Further, the transaction success rate, user reputation value, and user importance are stored in chronological order, and in step S7, an average of transactions up to a point in time that is traced back from the present for a predetermined period (for example, one month) is used. In step S19, the current time may be stored as the newest in time series. Further, in step S7, an average of transactions up to a predetermined number of times (for example, 10 times) or the like may be used, and in step S19, this time may be stored as the latest in time series.

  Similarly to the transaction success rate described above, the reputation value and importance of the user may be stored for each genre, and the corresponding genre may be used.

  As described above, according to the second embodiment, by selecting a transaction cycle based on a transaction establishment expected value calculated using user transaction information, for example, a user other than a user such as an administrator or a trading partner can be selected. By using information such as information by a person and past transaction success rate, an optimal transaction cycle can be selected without depending on user values.

  Also, by updating the user transaction information with the information obtained by the selected transaction cycle, the user transaction information can be updated to a new one, that is, new information by a person other than the user such as an administrator or a trading partner It is possible to select an optimum transaction cycle by using new information such as the transaction success rate and the past transaction success rate.

  In addition, the item priority order setting unit 221 and the transaction object importance level setting unit 222 are provided in the pair information generation unit 22 of the user device 2, and the calculation performed in step S7 of the first embodiment and the step S7 of the second embodiment are performed. It is also possible to select an optimal successful transaction cycle by performing both calculations. Thereby, it becomes possible to select an optimal transaction cycle using information by both the user and the non-user.

  Note that a computer program that causes a general computer to function as the transaction support apparatus, the user apparatus, or a part thereof according to each of the above embodiments may be used singly or in combination, semiconductor memory, magnetic disk, optical disk, magneto-optical disk, magnetic tape. It can be stored in a computer-readable recording medium such as the above, or transmitted through a communication network such as the Internet and widely distributed.

1 is a system configuration diagram including a transaction support apparatus according to a first embodiment of the present invention. It is a figure which shows an example of the memory | storage method of the unsettled transaction cycle in the unsettled transaction cycle memory | storage part. It is a figure which shows the specific example of request information or provision information. It is a flowchart of 1st Example. It is a figure which shows the selection method of the completion transaction cycle in 1st Example. It is a figure which shows allocation of the transaction object importance in 2nd Example. It is a figure which shows the selection method of the completion transaction cycle in 2nd Example. It is a figure which shows assignment of the item priority in 2nd Example, and transaction object importance. It is a system block diagram containing the transaction assistance apparatus which concerns on 2nd Embodiment of this invention. It is a flowchart of a 2nd embodiment. It is a figure which shows the selection method of the completion transaction cycle in 2nd Embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1,1A ... Transaction support apparatus 2 ... User apparatus 3 ... Network 11 ... Information transmission / reception part 12 ... Pair information storage part 13 ... Established transaction cycle detection part 14 ... Unestablished transaction cycle storage part 15 ... Unestablished transaction cycle processing part 16 ... Rule storage unit 17 ... match calculation unit 18 ... user transaction information storage unit 19 ... user transaction information update unit 21 ... information transmission / reception unit 22 ... pair information generation unit 221 ... item priority setting unit 222 ... transaction target importance level setting unit

Claims (16)

Request for different user target information in pair information for an unspecified number of users consisting of request information indicating the request target requested to be provided to the user and provided information indicating the target to be provided from this user When the transaction cycle detection means of the computer detects a transaction cycle that is established by matching the information with the provided information,
The transaction support method, wherein the successful transaction cycle detecting means detects a successful transaction cycle based on an unsatisfied transaction cycle stored in the unsuccessful transaction cycle storage means of the computer and new pair information. Item priority is assigned to each item for the request target indicated by the request information,
2. The transaction support according to claim 1, wherein the successful transaction cycle detection means detects a plurality of transaction cycles and selects a transaction cycle based on a degree of match calculated using the item priority. Method. Either the request information or the provided information indicates a plurality of targets, and a transaction target importance is assigned to each target,
3. The successful transaction cycle detection means detects a plurality of transaction cycles, and selects a transaction cycle based on a degree of match calculated using the transaction object importance. Transaction support method.   4. The transaction support method according to claim 2, wherein the degree of match is calculated.   The transaction support method according to claim 2, wherein the successful transaction cycle detection means selects a transaction cycle based on a predetermined rule. User transaction information storage means for storing user transaction information, which is information by a user other than the user, is provided.
6. The completion transaction cycle detection means detects a plurality of transaction cycles, and selects a transaction cycle based on an expected transaction establishment value calculated using the user transaction information. The transaction support method according to any one of the above.   7. The transaction support method according to claim 6, wherein the user transaction information is updated with information obtained by the selected transaction cycle. Request for different user target information in pair information for an unspecified number of users consisting of request information indicating the request target requested to be provided to the user and provided information indicating the target to be provided from this user An established transaction cycle detecting means for detecting a transaction cycle established by matching information and provided information;
An unsuccessful transaction cycle storage means for storing unsuccessful transaction cycles;
The established transaction cycle detection means detects a transaction cycle established by the unestablished transaction cycle stored in the unestablished transaction cycle storage means and new pair information when detecting the established transaction cycle. A characteristic transaction support apparatus. Item priority is assigned to each item for the request target indicated by the request information,
9. The transaction support according to claim 8, wherein the successful transaction cycle detecting means detects a plurality of transaction cycles and selects a transaction cycle based on a degree of match calculated using the item priority. apparatus. Either the request information or the provided information indicates a plurality of targets, and a transaction target importance is assigned to each target,
10. The successful transaction cycle detection means detects a plurality of transaction cycles, and selects a transaction cycle based on a degree of match calculated using the transaction object importance. Transaction support device.   The transaction support apparatus according to claim 9, further comprising match calculation means for calculating a degree of the match. Comprising user transaction information storage means for storing user transaction information which is information by a user other than the user regarding the transaction;
12. The established transaction cycle detection means detects a plurality of transaction cycles, and selects a transaction cycle based on an expected transaction establishment value calculated using the user transaction information. The transaction support device according to any one of the above.   13. The transaction support apparatus according to claim 12, wherein the user transaction information is updated with information obtained by the selected transaction cycle.   The transaction support apparatus according to claim 9, wherein the successful transaction cycle detection unit selects a transaction cycle based on a predetermined rule.   A computer program for causing a computer to function as the transaction support apparatus according to claim 8.   A recording medium storing the computer program according to claim 15.

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