TWI603277B - Method, system, computer program and computer-readable recording medium for random type auction - Google Patents

Description

Stochastic bidding method, system, computer program product and readable Recording media

The present invention relates to a random bidding method, system, computer program product and readable record medium, in particular, the use of analyzing the expected value of the stoichiometric bid amount of each buyer and apportioning the seller's risk loss by each buyer. The way to determine whether the random bidding bidding activity is open.

Online auction is one of the most popular ways of trading in e-commerce business. Sellers can display goods on the auction website, and bidders can accept it according to their demand and price. The degree of bidding for the auction items, and then enjoy the interest of the product bidding.

However, since most of the online auction methods use the "high bidders" method to determine the attribution of the bidding products, that is, the buyer with the lower bid amount, there is no chance to obtain the bidding product, so the auction process is still relatively monotonous. Without variability, it is difficult to further enhance the sense of competitive bidding.

To this end, some companies have developed the "Internet auction method based on random random number" in the Republic of China Patent No. 200926029. The main steps are to construct a network auction system for at least one seller computer to auction on the Internet. The system displays a plurality of commodities, and the plurality of buyer computers selects a product bid and a purchase bet for the bidding product, wherein the bid price of the purchase bet can be set according to the value of the bidding commodity, for example, depending on the value of the different merchandise Set to a note of 100 yuan or a note of 500 yuan Etc., and the purchase bet can also be purchased in a bidding process, and then the online auction system selects at least one buyer computer as the bidding product according to the purchase bet of the consumer. Winning bidder.

However, there are still deficiencies in the above-mentioned previous cases to be improved. The main reasons are:

1. The number of people participating in the bidding will have a considerable impact on the bidding amount. Generally, the more buyers participate, the bid amount can be increased. However, if the bidding threshold set by the seller is too high, it will take too much time to make up the number, but If the threshold for setting bids is too low, buyers with very low bids may still have a high probability of winning the bid. Therefore, there is still a lack of technology to properly assess the number of participants.

2. Although this kind of auction method gives the buyer the opportunity to get the bid at the price he expects, but the bidder gets the bid, it is also a loss for the seller, but there is no corresponding compensation mechanism.

Therefore, in order to improve the prior art of the conventional probabilistic bidding method, it is difficult to set a reasonable participation threshold for bidding. Therefore, the inventor has devoted himself to research and proposes a stochastic bidding method for bidding for a plurality of units. The buyer computer is connected to an auction platform provided by a server host, and the auction platform provides information on at least one commodity, a cost price corresponding to one of the commodities, and a bid amount required to participate in the bidding of the aforementioned commodity, and then executes the following Step: A. a plurality of specific buyer computers select one of the foregoing commodities and input information for bidding for the bid amount of one of the aforementioned commodities to the auction platform to propose a bid application; B. the auction platform is based on each specific buyer computer The amount of bidding is calculated by calculating the probability of winning each specific buyer's computer, and then calculating the expected value of one of the benchmarks based on the winning probability of all the specific buyer computers and the bid amount, and bidding on the expected value and all the specific buyer computers mentioned above. When the sum of the amounts is greater than or equal to the cost price, the bidding application is accepted; C. The auction platform randomly selects the target buyer computer from the aforementioned specific buyer computer according to the aforementioned winning probability when the preset time is reached.

Further, the winning probability is the ratio of the bid amount of one of the specific buyer computers to the sum of the bid amounts of all the specific buyer computers.

In the step C, when the specific buyer computer re-enters a bid amount within the preset time, the winning probability and the expected value are recalculated.

Further includes a step D. When the bidding application has not been accepted after the preset time has elapsed, the bidding application is cancelled, and a discount to the bidding gold is provided to the plurality of specific buyer computers for selection of the aforementioned buyer computer. Discounted when bidding for other specific items.

The invention is also a computer program product installed in a computer system, which enables the computer system to execute the aforementioned stochastic bidding product bidding method.

The invention is also a readable record medium, which stores the aforementioned computer program product.

The invention is also a random bidding product bidding system, which uses the stochastic bidding product bidding method, comprising: a processing unit; a database group, connected to the processing unit, including a product database and a a bidding application database, which stores information of the aforementioned merchandise, information on the cost price of the merchandise, and bidding money required to participate in the bidding of the aforementioned merchandise, the bidding application database storing each of the buyer’s computers bidding for at least one of the aforementioned specific The bidding amount of the commodity; a bidding subsystem, connected to the processing unit, comprising a probability analysis module, an expectation analysis module and a bid opening module, the probability analysis module is based on bidding of each specific buyer computer The amount of the amount is calculated to calculate the winning probability of each specific buyer computer. The expected value analysis module calculates the expected value of the settlement amount according to the winning probability of the plurality of specific buyer computers and the bid amount, and the bid opening module is When the sum of the expected value and the bid amount of the plurality of specific buyer computers is greater than or equal to the cost price, the bidding application is accepted to randomly select the bidding buyer computer from the specific buyer computer according to the foregoing winning probability within a preset time.

The effect of the invention is:

1. The invention can open the bid when the expected value of the bidding probability calculation and the sum of the bid payment at the bidding time of each buyer computer is greater than or equal to the cost price of the commodity, so as to prevent the bidding product from being caused when the bidding product is obtained at a low price. The seller lost.

2. The present invention utilizes the expected value and the manner in which the buyer apportions the seller's risk loss to determine the threshold of the number of people who reasonably participate in the bidding, so as to avoid the bidding activity requiring too much time to make up the number of people or to cause the seller to lose due to insufficient number of bids.

(100)‧‧‧Commodity bidding system

(101)‧‧‧ Auction Platform

(102)‧‧‧ Buyer Computer

(1) ‧‧‧Processing unit

(2) ‧ ‧ database group

(21) ‧‧‧Commodity database

(22) ‧ ‧ bid application database

(3) ‧ ‧ bidding subsystem

(31)‧‧‧ probability analysis module

(32)‧‧‧ Expectation Analysis Module

(33)‧‧‧Opening module

[First figure] is a schematic diagram of a bidding process according to an embodiment of the present invention.

[Second figure] is a system architecture diagram of an embodiment of the present invention.

In combination with the above technical features, the main functions of the random bidding method, system, computer program product and readable recording medium of the present invention will be clearly shown in the following embodiments.

Referring to the first figure and the second figure, a schematic diagram of the bidding process and a system architecture diagram of the product bidding system (100) are disclosed. The product bidding system (100) is used as a server to provide an auction platform (101), so that a plurality of buyer computers (102) can be logged into the auction platform (101), and the product bidding system (100) is A processing unit (1), a database group (2) and a bidding subsystem (3) are included, wherein: The processing unit (1) has a function of logically calculating, controlling, and receiving and outputting instructions of other hardware components.

The database group (2) is connected to the processing unit (1), and includes a product database (21) and a bid application database (22). The product database (21) stores at least one product information, The cost price of one of the commodities and the information of one of the bids required to participate in the bidding of the aforementioned commodities. The bid application database (22) stores information for bidding for the bid amount of the at least one specific item.

The bidding subsystem (3) is connected to the processing unit (1), and includes a probability analysis module (31), an expectation value analysis module (32) and a bid opening module (33), and the probability analysis module (31) Based on the bid amount of each specific buyer computer (102), the winning probability of each specific buyer computer (102) is calculated, and the expected value analysis module (32) is based on the plurality of specific buyer computers (102). The bidding rate and the bid amount are calculated and analyzed, and the bid opening module (33) accepts the bidding application when the sum of the expected value and the bid amount of the plurality of specific buyer computers (102) is greater than or equal to the cost price. The buyer computer that randomly selects the target from the aforementioned specific buyer computer in the predetermined time period.

Among them, the winning probability Pi=Ci/Ct, Pi: the winning probability of the specific buyer computer, Ci: the bid amount of the specific buyer computer, Ct: the sum of the bid amounts of all the specific buyer computers.

Wherein, the expected value of the settlement amount is H=C1×P1+C2×P2+C3×P3+...+Cn×Pn, H: expected value of the settlement amount, C1, C2, C3...Cn: each specific The bid amount of the buyer's computer, P1, P2, P3...Pn: the probability of winning each specific buyer's computer.

Referring to the second figure and referring to the first figure, the present invention is also a random bidding method for bidding products, which can be used to construct a computer program product and store the program product in a recording medium. For computer systems (eg desktop computers, notebook computers, wisdom) The type of mobile phone, tablet computer, personal digital assistant (PDA) can be read, and can also be stored in a server for downloading and installing online; the computer system first stores information of at least one product, corresponding to the product. For a cost price and information on one of the bids required to participate in the bidding of the aforementioned goods, perform the following steps: The bidding application is first proposed by the plurality of specific buyer computers (102) selecting the at least one specific item and inputting the bidding amount for bidding the bid amount of the at least one specific item to the auction platform (101).

Then, the probability analysis module (31) of the auction platform (101) calculates the winning probability of each buyer computer (102) according to the bid amount of each specific buyer computer (102). More specifically, the winning probability is the ratio of the bid amount of one of the specific buyer computers (102) to the sum of the bid amounts of all the specific buyer computers.

And using the expected value analysis module (32) to calculate an expected value of one of the settlement amounts according to the winning probability of the plurality of specific buyer computers (102) and the bid amount, and the bid opening module (33) is at the expected value and the foregoing plural number The bidding application is accepted when the sum of the bid amounts of the specific buyer computer is greater than or equal to the cost price; And the auction platform (101) randomly selects the target buyer computer from the aforementioned buyer computer (102) according to the aforementioned winning probability when a predetermined time is reached. Preferably, when the specific buyer computer re-enters a bid amount within the preset time, the winning probability and the aforementioned expected value are recalculated.

When the bidding application has not been accepted for a predetermined period of time (for example, 3 hours, 2 days, 1 month, etc.), the bidding application is cancelled, and the discount for the bid is provided. The plurality of specific buyer computers (102) are provided for the aforementioned buyer computer (102) to be used as a discount when selecting to bid for other specific commodities.

The following is an example to illustrate the transaction process of the stochastic bidding method of the present invention:

1. The cost price for setting up one auction item is 100 yuan, and the bid for each buyer's computer to participate in the bidding is 20 yuan. There are 4 buyer computers: A, B, C, and D are applying for bidding, and the bids are 10, 20, 30, and 40 yuan respectively.

2. According to the bid amount of each specific buyer's computer A, B, C, D, the bidding rate: the buyer's computer A bid rate = 10/100 = 0.1, the buyer's computer B bid rate = 20 / 100 = 0.2, the buyer The computer C bid rate = 30/100 = 0.3, the buyer's computer Ding win rate = 40 / 100 = 0.4.

Among them, the winning probability Pi=Ci/Ct, Pi: the winning probability of the specific buyer computer, Ci: the bid amount of the specific buyer computer, Ct: the sum of the bid amounts of all the specific buyer computers.

3. Calculate the expected value of the auction item's closing amount according to the winning probability: 10×10/100+20×20/100+30×30/100+40×40/100=1+4+9+16=30 .

Wherein, the expected value of the settlement amount is H=C1×P1+C2×P2+C3×P3+...+Cn×Pn, H: expected value of the settlement amount, C1, C2, C3...Cn: each specific The bid amount of the buyer's computer, P1, P2, P3...Pn: the probability of winning each specific buyer's computer.

4. Analyze whether the sum of the expected value and the bid of all the specific buyer computers is greater than or equal to the cost price: 30+20×4=110, 110 is greater than the cost price of the auction item is 100 yuan, so the bid can be opened. However, if it is lower than the cost price of the auction item and exceeds the preset time (for example, the preset time such as 1 hour, 1 day or 1 month), the bid will be returned and the bid will be returned to each buyer's computer. Of course, during this period, each buyer's computer can re-enter the bid amount to increase the expected value and have the opportunity to open the bid, and can increase the probability of winning the bid.

5. According to the winning probability of each buyer's computer, randomly select the winning buyer's computer (the buyer's computer A bidding rate = 10/100 = 0.1, the buyer's computer B bidding rate = 20/100 = 0.2, the buyer's computer C bidding rate = 30/100=0.3, the buyer's computer Ding wins the rate = 40/100 = 0.4).

6. Assuming that the buyer's computer C is the final bid, the buyer's computer C needs to pay 30 yuan for the bid, while the buyer's computer A, B, C, D is required to pay 20 yuan each, and the seller gets a total of 80 yuan. Gold + 30 yuan won the gold = =110 yuan.

7. The seller delivers the auction item to the buyer's computer C.

In view of the foregoing description of the embodiments, the operation and the use of the present invention and the effects of the present invention are fully understood, but the above described embodiments are merely preferred embodiments of the present invention, and the invention may not be limited thereto. Included within the scope of the present invention are the scope of the present invention.

Claims (7)

A random bidding method for bidding goods for connecting a plurality of buyer computers to an auction platform provided by a server host, the auction platform providing information on at least one commodity, corresponding to a cost price of the commodity, and participation The data of one of the bidding amounts required for the foregoing commodity bidding is performed by the following steps: A. The specific buyer computer selects one of the foregoing commodities and inputs the bidding amount for bidding the bidding amount of one of the commodities to the auction platform to propose one Bidding application; B. The auction platform calculates the winning probability of each specific buyer computer according to the amount of bidding for each specific buyer computer. The winning probability is calculated as Pi=Ci/Ct, Pi: specific buyer computer The winning probability, Ci: the bid amount of the specific buyer computer, Ct: the sum of the bid amounts of all the specific buyer computers, and then calculate the expected value of one of the benchmarks based on the winning probability of all the specific buyer computers and the bid amount, the expected value The calculation formula is H=C1×P1+C2×P2+C3×P3+...+Cn×Pn, H: the expected value of the knot amount, C1, C2, C3...Cn: each special The bid amount of the buyer's computer, P1, P2, P3...Pn: the winning probability of each specific buyer's computer, accepting the bid when the sum of the expected value and the bid amount of all the specific buyer computers is greater than or equal to the cost price Applying; and C. The auction platform randomly selects the target buyer computer from the aforementioned specific buyer computer according to the aforementioned winning probability when a predetermined time is reached. For example, the method for bidding for a randomized bidding product as described in claim 1 is the ratio of the bid amount of one of the specific buyer computers to the sum of the bid amounts of all the specific buyer computers. For example, in the method of claim 1, the stochastic bidding product bidding method, in the step C, when the specific buyer computer re-enters a bid amount within the preset time, the probability of winning the bid will be recalculated and The aforementioned expected value. For example, the method for bidding for a random-type bidding product as described in item 1 of the patent application includes a step D. If the bidding application has not been accepted after the preset time has elapsed, the bidding application is cancelled and the corresponding bid is provided. The amount of the discount is applied to the aforementioned plurality of specific buyer computers for the aforementioned buyer computer to deduct when selecting to bid for other specific commodities. A computer program product is installed in a computer system, and the computer system performs a random bidding method for bidding for a product according to any one of claims 1 to 4. A readable record medium storing a computer program product as described in claim 5 of the patent application. A stochastic bidding product bidding system, which is a stochastic bidding product bidding method according to any one of claims 1 to 4, comprising: a processing unit; a database group, connecting The processing unit includes a product database and a bid application database, wherein the product database is used to store the data of the commodity, the cost price of the commodity, and the bid amount required to participate in the bidding of the commodity, the bid application data. The library stores data of bidding amount of each of the buyer computers for bidding for the at least one specific commodity; and a bidding subsystem connecting the processing unit, including a probability analysis module, an expectation value analysis module and a bid opening module, the probability The analysis module is based on the bid amount of each specific buyer computer to calculate the winning probability of each buyer computer. The winning probability calculation formula is Pi=Ci/Ct, Pi: the winning probability of the specific buyer computer, Ci : the bid amount of the specific buyer's computer, Ct: the sum of the bid amounts of all the specific buyer's computers, the expected value analysis module is based on the aforementioned complex The winning probability of the buyer's computer and the expected value of the bid amount of the bid amount calculation analysis, the expected value is calculated as H=C1×P1+C2×P2+C3×P3+...+Cn×Pn, H: expected value of the knot amount, C1, C2, C3...Cn: bid amount for each specific buyer computer, P1 P2, P3...Pn: the winning probability of each specific buyer computer, the bid opening module accepts the bidding application when the sum of the expected value and the bid amount of the plurality of specific buyer computers is greater than or equal to the cost price, The winning buyer's computer is randomly selected from the aforementioned specific buyer's computer in the predetermined time period according to the aforementioned winning probability.