CN101751646A - Online Bidding Auction System with Random Price Reduction - Google Patents

Online Bidding Auction System with Random Price Reduction Download PDF

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Publication number
CN101751646A
CN101751646A CN200810305975A CN200810305975A CN101751646A CN 101751646 A CN101751646 A CN 101751646A CN 200810305975 A CN200810305975 A CN 200810305975A CN 200810305975 A CN200810305975 A CN 200810305975A CN 101751646 A CN101751646 A CN 101751646A
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price reduction
price
bidding
commodity
system server
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曾亦青
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Individual
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Abstract

A network bidding auction system with random price reduction is featured as providing a data sampling table by main system server to decide down time section and down amplitude of each time, providing a random number table or a fixed parameter table by said data sampling table then using multiplied data to let said auction system not to expect down time section and down amplitude of each time, using down bidding mode to decide bid by main system server if member bids through said auction system, using decision factor to decide bid by member and using it as bidding price of member if it is closest to commodity price after down bidding and the bidder can bid earlier than the one during bidding period provided by main system server, not using fixed formula to decide bidder by unit with more chance, affecting the fairness of the auction.

Description

The network bidding and auction system of random price reduction
Technical field:
The present invention relates to a kind of network bidding and auction system of random price reduction, a kind of data sampling table that provides is provided especially, and decide the system of the price reduction auction of the range of price decrease and price reduction time section with this voting.
Background technology:
Present general employed network auction mechanism, all be the commodity that auction is provided by the seller, and determine this to play marked price, the mutual competitive bidding of the buyer that supply takes part in auction, the buyer is if desire successfully to buy this commodity, need constantly buyer's competition with other, cause the price that can buy these commodity constantly to rise, must be designated as up to a buyer and end, and the marked price that rises of these commodity is grasped in the seller's hand, the seller has grasped certain profit, but the buyer must accept more and more higher price, otherwise can't mark, thus, concerning the buyer, be disadvantageous relatively part.
The mechanism that a kind of auction is arranged now, shown in TaiWan, China patent font size the 094132389th, dynamically the price reduction competitive bidding be meant that commodity price person-time increased and reduces along with arriving website browsing, until the arrival website browsing of commodity person-time equals till the quotient of merchandise cost divided by the per unit cost that arrives website browsing.As described in following formula:
VP: arrive browsing person-time of website;
M: market price;
L: rob the mark bottom price;
CPVP: the per unit cost that arrives website browsing;
If when the per unit cost that CPVP is arrived website browsing person-time is set at definite value, then the winning bidder is exactly N and arrives website browsing and person-time equal (M-L)/CPVP, that is to say, it is passive that this winning bidder is in, and according to this formula gained target result, cause the winning bidder according to the fortune composition the target situation, rather than to rob the mark earlier the person must mark earlier, the result that the person that robs the mark can't expect this competitive bidding.
Moreover, the commodity that the network auction platform is auctioned, its discussible room for price-cut is still needed and the supplier coordinates, if it is too big that these commodity downgrade amplitude, to make the resulting profit squeeze of supplier and auction platform, cause the supplier to be unwilling to give too big room for price-cut, but if the network auction platform can't give popular cheaper price, to seek other auction platform as the buyer's the common people, cause the loss of customers, consideration between client and profit, the predicament that managing network auction platform dealer is faced a difficult selection.
Summary of the invention:
Technical matters to be solved by this invention is: at above-mentioned the deficiencies in the prior art, a kind of network bidding and auction system of random price reduction is provided, one network auction system mainly is provided, and carry out by a main system server, on network, make a price reduction the purpose of auctioning to reach, and by member, the seller and supplier institute operate together.
In order to solve the problems of the technologies described above, the technical solution adopted in the present invention is: a kind of network bidding and auction system of random price reduction comprises: at least one member, and at least one Stored Value unit is become this member by buyer's Stored Value; One seller provides a network auction system, and has a main system server; One supplier, provide at least one commodity to this seller, make it carry out network bidding and auction;
Again, this network auction system is carried out by this main system server, and its step comprises at least:
A) provide at least one commodity and this member to select by this seller, and by the commodity of this member's decision in this network auction system competitive bidding,
B) determine the marked price that rises of these commodity with this all member, and this member's desire adds this network auction system, must pay a Stored Value unit earlier,
C) judge whether to reach competitive bidding scale number by this main system server,
D) as reaching, judge this commodity room for price-cut according to this competitive bidding scale number, and calculate this with this commodity room for price-cut and rob base number of a tender valency by this main system server, if this robs base number of a tender valency and plays marked price greater than this, then competitive bidding again,
E) determine this competitive bidding by this main system server during, stipulating the auction time of these commodity in this network auction system,
F) provide a data sampling table by this main system server, and, determine price reduction time section and each range of price decrease of these commodity to cooperate this data sampling table with this commodity room for price-cut during this competitive bidding,
G) if this range of price decrease reaches the value that this member presets, then this main system server is given notice, this member is known and begins online to submit a tender,
H) judge the member who submits a tender at first by this main system server, and obtain this commodity by this member.
So,, make the member can own decision want the commodity of competitive bidding and this to play marked price in the mode of price reduction auction, network auction different from the past, the space that its commodity are made a price reduction is on top of in the seller's of the network platform hand.
The mode of this price reduction is that the data sampling table that provides with this main system server is with this each range of price decrease of decision and each price reduction time section, and this data sampling table comprises a table of random numbers or a preset parameter table, determine at random by this main system server, if adopt the table of random numbers, then this each range of price decrease and each price reduction time section all are unfixed intervals; If adopt this preset parameter table, then to make a price reduction time section and this each range of price decrease all identical at every turn, allow the buyer can't calculate the parameter of its each price reduction time section and each range of price decrease with this according to formula, reach the effect that the price reduction pattern that makes this auction can't be expected by the buyer, make the auction process justice.
Utilize this network auction system, decision winning bidder's factor is the time order and function decision of being submitted a tender with the buyer, makes the target factor except price, also can be controlled in the factor of bid speed, not as is known in the technology, be to calculate with the formula of clicking the website number of times, grasp in the target process, anti-in the majority with the composition of fortune, and if determine by the bid time order and function, then get the target factor and grasp in the buyer's hand,, then might mark more as long as bid speed is fast more.
Moreover, the present invention also comprises a marked price of the commodity that allow the member determine the competitive bidding of wanting, this plays marked price system by the member who participates in this commodity competitive bidding, be ready to buy the final price of these commodity mean value determine, so, can avoid the well-to-do member of some economy, from commodity when beginning to auction, when the highest price, just submit a tender, and obtain this commodity, and cause the more bad member of economic capability can't participate in the network bidding and auction of these commodity.
Below, will system of the present invention characteristics be described in detail according to the embodiment shown in graphic and use effect.
Description of drawings:
Fig. 1 is a system architecture diagram of the present invention.
Fig. 2 is an operation step map of the present invention.
Fig. 3 is an operational flowchart of the present invention.
Fig. 4 is an embodiment of the invention synoptic diagram.
Fig. 5 is an embodiment of the invention synoptic diagram.
Fig. 6 is an embodiment of the invention synoptic diagram.
Fig. 7 is an embodiment of the invention synoptic diagram.
Label declaration:
10---member 11---buyer
12---the Stored Value unit 20---sellers
30---main system server 40---network auction system
50---the supplier
M---commodity M1---plays marked price
M2---competitive bidding scale number M3---commodity room for price-cut
M4---robs base number of a tender valency M5---during the competitive bidding
M6---the data sampling table M61---table of random numbers
M62---preset parameter table M7---makes a price reduction the time section
M8---each range of price decrease
N---network bidding and auction
Embodiment:
As shown in Figure 1, the present invention is a kind of network bidding and auction system of random price reduction, comprise at least one member 10, one seller 20, one main system server 30, an one network auction system 40 and a supplier 50, this member 10 is just had membership after by at least one Stored Value unit 12 of a buyer 11 Stored Values, and this seller 20 has a main system server 30, and provide a network auction system 40, and by these main system server 30 execution, again, the commodity M of these 40 bidding and auctions of network auction system is provided by this supplier 50, in sum, this seller 20 is carried out network bidding and auction N.
Please consult Fig. 1 to Fig. 7 simultaneously, the execution in step of this network auction system 40 comprises:
A) provide at least one commodity M to give this member 10 by this seller 20 and select, and by the popular degree of this member 10 selected these commodity M, decision is at the commodity M of these network auction system 40 competitive biddings,
B) with this all member 10 decision desires buy these commodity M final price mean value for these commodity M play marked price M1, and these member's 10 desires add this network auction system 40 and select this auction goods M, must pay a Stored Value unit 12 earlier,
C) judge to select these member's 10 numbers of these commodity M whether to reach competitive bidding scale number M2 by this main system server 30,
D) as reaching, judge this commodity room for price-cut M3 according to this competitive bidding scale number M2, and calculate this with this commodity room for price-cut M3 and rob base number of a tender valency M4, play marked price M1 greater than this if this robs base number of a tender valency M4 by this main system server 30, then competitive bidding again,
E) by M5 during 30 these competitive biddings of decision of this main system server (during this not by suitor known to), stipulating the auction time of these commodity M in this network auction system 40,
F) provide a data sampling table M6 by this main system server 30, and cooperate this data sampling table M6 with this commodity room for price-cut M3, determine price reduction time section M7 and the each range of price decrease M8 of these commodity M with M5 during this competitive bidding,
G) if this range of price decrease reaches the value that this member 10 is preset, then this main system server 30 is given notice, this member 10 is known and begins online to submit a tender,
H) judge the member 10 who submits a tender at first by this main system server 30, and obtain these commodity M by this member 10.
As mentioned above, be the step that this network auction system 40 carries out, below be described in more detail the flow process of this network auction system 40.
At first, consult by a seller 20 and a supplier 50, common decision need be placed on the commodity M that this network auction system 40 carries out network bidding and auction N, and can be for the maximum price reduction value of price reduction by these supplier 50 these commodity of decision M, provide these commodity M to each member 10 again, and desire participates in this network auction system 40, needs at least one Stored Value unit 12 of first Stored Value, to be used as the ABC of qualification of participating in this network bidding and auction N; By this seller 20 most commodity M are positioned over this network auction system 40 again, supplying with this member 10 selects, this majority member 10 can see through this network auction system 40, common decision will be carried out the commodity M of network bidding and auction N, playing marked price M1 and these commodity M auctions, then is the mean value that the member 10 that participates in these commodity M auction is ready to buy the final purchasing price of these commodity M.
Again, this main system server 30 can judge whether the commodity M of this auction reaches this competitive bidding scale number M2, the computing formula of this competitive bidding scale number M2 is with " market price of these commodity M; multiply by price reduction rate that this supplier 50 provided again divided by this Stored Value unit 12 ", after the commodity M of this auction reaches this competitive bidding scale number M2, then continue the competitive bidding that open other member 10 adds these commodity M again, wait to arrive one default when open behind the number, 30 of this main system servers can be judged the commodity room for price-cut M3 of these commodity M, and this commodity room for price-cut M3 is with " this competitive bidding scale number M2 adds that these default member's 10 quantity that added in the number when open multiply by the price of this Stored Value unit 12 again ".
Then calculating this with this commodity room for price-cut M3 again robs base number of a tender valency M4, plays marked price M1, then competitive bidding again if this robs base number of a tender valency M4 greater than this; As previously mentioned, again by M5 during these main system server 30 these competitive biddings of decision, to stipulate the time of these commodity M in the network bidding and auction N of this network auction system 40, and begin the auction of these commodity M, and the characteristics of whole network bidding and auction N, be to provide a data sampling table M6 (as shown in Figure 4) at this main system server 30, and this data sampling table also comprises a table of random numbers M61 or a preset parameter table M62, this table of random numbers M61 is a kind of form (as shown in Figure 5), have most different number percents in the form, and the summation of this number percent is 100%, the quantity system of this form number looks M5 during this competitive bidding and is corresponding, again, M5 also looks this commodity room for price-cut M3 and corresponding during this competitive bidding, cooperates this table of random numbers M6 with M5 during this competitive bidding and this commodity room for price-cut M3 again, obtains the foundation of this price reduction time section M7 and this each range of price decrease M8, when making these commodity M begin to auction, promptly the amplitude that at every turn will make a price reduction and the time interval of at every turn making a price reduction have been determined with this table of random numbers M6; Again, this preset parameter table M62 also is a kind of form, have most identical number percents in the form, and the summation of this number percent is 100%, the quantity system of this form number looks M5 during this competitive bidding and is corresponding, cooperate this preset parameter table M62 with M5 during this competitive bidding and this commodity room for price-cut M3 again, obtain the foundation of this price reduction time section M7 and this each range of price decrease M8, when making these commodity M begin to auction, promptly the amplitude that at every turn will make a price reduction and the time interval of at every turn making a price reduction have been determined with this preset parameter table M62.
At last, if the price of these commodity M has been fallen 10 original purchasing prices that preset of certain member, 30 of this main system servers send message and notify this member 10, this member 10 is after receiving this message, then see through this network auction system 40 and send the message of bid, and after most members 10 send the message of bid, can judge this message of receiving at first by this main system server 30, and confirm this member 10 with this bid message, and determine must mark by this member 10, determine that promptly system obtains these commodity M by this member 10, and if in the process of price reduction, the price of this price reduction is lower than this and robs base number of a tender valency M4, then confirms that by this main system server 30 these commodity M system fails to be sold at auction.
Below the required calculating formula that sees through these main system server 30 execution of this network bidding and auction N is listed, to allow the user understand:
Be somebody's turn to do " competitive bidding scale number M2 "=
(price reduction rate that these commodity M market price * this supplier 50 provides)/Stored Value unit 12;
Should " date that begins to make a price reduction "=reach this competitive bidding scale number M2 the day+preset fate;
Be somebody's turn to do " commodity room for price-cut M3 "=
(this competitive bidding scale number M2+ should preset member's 10 numbers that added in the fate) * Stored Value unit 12;
This commodity room for price-cut M3 determines M5 during this competitive bidding, as: if this commodity room for price-cut M3 is 2000 yuan, during this competitive bidding M5=5 days is that this main system server 30 is preset;
This robs market price-this commodity room for price-cut M3 of these commodity of base number of a tender valency M4=M;
This data sampling table M6 is provided by this main system server 40, as shown in Figure 4, the lattice number of this data sampling table M6 by this competitive bidding during the fate decision quantity of M5, equally also preset by this main system server 30,
This price reduction time section M7 and this each range of price decrease M8, then be respectively to the number percent in should data sampling table M6 with M5 during this commodity room for price-cut M3 and this competitive bidding, to determine this data, for example, with shown in Figure 5, be the data sampling table M6 that this main system server 30 is determined, this content is a table of random numbers M61, suppose that this commodity room for price-cut M3 is 2000, M5 is 5 days (promptly 120 hours) during this competitive bidding, the price reduction time first time of this price reduction time section M7 was 120 * 4%=4.8 hour, the range of price decrease first time of this each range of price decrease M8 is 2000 * 4%=80 unit, with this foundation as this price reduction time section M7 and this each range of price decrease M8
Again, this main system server 30 also can provide a preset parameter table M62, as shown in Figure 6, this preset parameter table M62 promptly is that the data in each form all are identical, suppose that this commodity room for price-cut M is 2000, M5 is 5 days (promptly 120 hours) during this competitive bidding, each price reduction time of this price reduction time section M7 is 120 * 8.33% and approximates 10 hours, each range of price decrease of this each range of price decrease M is 2000 * 8.33% and approximates 166.66 yuan, with this foundation as this price reduction time section M7 and this each range of price decrease M8.
What need Chen Ming is, the above is the present invention's one preferred embodiment and the know-why used, if the change of doing according to conception of the present invention, its function that produces does not exceed instructions yet and diagram contained when spiritual, all should close and give Chen Ming within the scope of the invention.

Claims (8)

1.一种随机降价的网络竞标拍卖系统,包括:至少一会员,由一买家储值至少一储值单位,得以成为该会员;一卖方,提供一网络拍卖系统,且具有一主系统服务器;一供货商,提供至少一商品给与该卖方,使其进行网络竞标拍卖;该网络拍卖系统被该主系统服务器执行,其特征在于:步骤至少包括:1. An online bidding auction system with random price reduction, comprising: at least one member, who can become a member by storing at least one stored value unit by a buyer; a seller, who provides an online auction system and has a main system server ; A supplier who provides at least one commodity to the seller to enable it to conduct an online bidding auction; the online auction system is executed by the main system server, and it is characterized in that the steps include at least: A、由该卖方提供至少一商品与该会员选择,并由该会员决定在该网络拍卖系统竞标的商品,A. The seller provides at least one commodity and the member chooses, and the member decides which commodity to bid in the online auction system, B、以该所有的会员决定该商品的起标价,且该会员欲加入该网络拍卖系统,须先缴纳一储值单位,B. All members determine the starting price of the product, and the member wants to join the online auction system, he must first pay a stored value unit, C、由该主系统服务器判断是否达到竞标规模人数,C. The main system server judges whether the number of people reaching the bidding scale is reached, D、如达到,由该主系统服务器根据该竞标规模人数判断该商品降价空间,并以该商品降价空间计算出该抢标底价,若该抢标底价大于该起标价,则重新竞标,D. If it is reached, the main system server will judge the price reduction space of the product according to the number of bidders, and calculate the reserve price of the rush bid based on the price reduction space of the product. E、由该主系统服务器决定该竞标期间,订定该商品于该网络拍卖系统的拍卖时间,E. The main system server determines the bidding period and sets the auction time of the commodity in the online auction system, F、由该主系统服务器提供一数据取样表,并以该竞标期间与该商品降价空间配合该数据取样表,决定该商品的降价时间区段及每次降价幅度,F. A data sampling table is provided by the main system server, and the data sampling table is matched with the bidding period and the price reduction space of the product to determine the price reduction time zone and the price reduction range of the product, G、若该降价幅度达到该会员所预设之值,则该主系统服务器发出通知,使该会员知晓并开始上网投标,G. If the price reduction reaches the value preset by the member, the main system server will send a notification to let the member know and start bidding online, H、由该主系统服务器判断最先投标的会员,并由该会员得到该商品。H. The main system server judges the member who bids first, and the member gets the product. 2.如权利要求1所述的随机降价的网络竞标拍卖系统,其特征在于:所述步骤B的起标价是用该主系统服务器算出所有该会员所愿意购买该商品的投标价格的平均值。2. The network bidding auction system with random price reduction as claimed in claim 1, characterized in that: the starting bid price in the step B is the average value of the bidding prices of all the members willing to buy the commodities calculated by the main system server. 3.如权利要求1所述的随机降价的网络竞标拍卖系统,其特征在于:所述步骤C的该竞标规模人数,藉该主系统服务器以该商品的市价,乘以该供货商所提供的降价率再除以该一储值单位以决定。3. The network bidding auction system with random price reduction as claimed in claim 1, characterized in that: the number of people in the bidding scale in the step C is multiplied by the market price of the commodity provided by the supplier by the main system server The price reduction rate is divided by the stored value unit to determine. 4.如权利要求1所述的随机降价的网络竞标拍卖系统,其特征在于:所述步骤D的商品降价空间,藉该主系统服务器以该竞标规模人数加上一预设天数内所再加入的会员人数再除以该一储值单位。4. The network bidding auction system with random price reduction as claimed in claim 1, characterized in that: the commodity price reduction space in the step D is added by the main system server within the number of people in the bidding scale plus a preset number of days Divide the number of members by the stored value unit. 5.如权利要求1所述的随机降价的网络竞标拍卖系统,其特征在于:所述步骤E的竞标期间系以该商品降价空间之值,由该主系统服务器定出。5. The network bidding auction system with random price reduction as claimed in claim 1, characterized in that: the bidding period in the step E is determined by the main system server based on the value of the commodity price reduction space. 6.如权利要求1所述的随机降价的网络竞标拍卖系统,其特征在于:所述步骤G藉该主系统服务器发出通知,以电邮或手机简讯通知该会员。6. The online bidding auction system with random price reduction according to claim 1, wherein in said step G, the main system server sends a notification to notify the member by email or mobile phone text message. 7.如权利要求1所述的随机降价的网络竞标拍卖系统,其特征在于:所述主系统服务器所提供的数据取样表,为一随机数表,并以该随机数表的参数,决定该降价时间区段内时间的间隔,及决定该每次降价幅度的降价值。7. The network bidding auction system of random price reduction as claimed in claim 1, characterized in that: the data sampling table provided by the main system server is a random number table, and the parameters of the random number table are used to determine the The time interval in the price reduction time zone, and the price reduction value that determines the price reduction range each time. 8.如权利要求1所述的随机降价的网络竞标拍卖系统,其特征在于:所述主系统服务器所提供的数据取样表,为一固定参数表,并以该固定参数表的参数,决定该降价时间区段内时间的间隔,及决定该每次降价幅度的降价值。8. The network bidding auction system of random price reduction as claimed in claim 1, characterized in that: the data sampling table provided by the main system server is a fixed parameter table, and the parameter of the fixed parameter table is used to determine the The time interval in the price reduction time zone, and the price reduction value that determines the price reduction range each time.
CN200810305975A 2008-12-05 2008-12-05 Online Bidding Auction System with Random Price Reduction Pending CN101751646A (en)

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104823208A (en) * 2012-10-31 2015-08-05 微软技术许可有限责任公司 User-advertiser bargaining in search results
CN105184641A (en) * 2015-09-09 2015-12-23 南京钱宝信息传媒有限公司 Interactive processing method and device
CN105225034A (en) * 2015-09-09 2016-01-06 南京钱宝信息传媒有限公司 interaction processing method and device
CN107169853A (en) * 2017-05-11 2017-09-15 安徽谦通信息科技有限公司 A kind of intelligent auction system of novel article
CN107180383A (en) * 2017-05-11 2017-09-19 安徽谦通信息科技有限公司 A kind of intelligent auction system of article
TWI603277B (en) * 2013-11-29 2017-10-21 南臺科技大學 Method, system, computer program and computer-readable recording medium for random type auction
CN110348929A (en) * 2018-04-08 2019-10-18 阿里巴巴集团控股有限公司 Method for showing interface, server, client, electronic equipment and storage medium

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104823208A (en) * 2012-10-31 2015-08-05 微软技术许可有限责任公司 User-advertiser bargaining in search results
TWI603277B (en) * 2013-11-29 2017-10-21 南臺科技大學 Method, system, computer program and computer-readable recording medium for random type auction
CN105184641A (en) * 2015-09-09 2015-12-23 南京钱宝信息传媒有限公司 Interactive processing method and device
CN105225034A (en) * 2015-09-09 2016-01-06 南京钱宝信息传媒有限公司 interaction processing method and device
CN107169853A (en) * 2017-05-11 2017-09-15 安徽谦通信息科技有限公司 A kind of intelligent auction system of novel article
CN107180383A (en) * 2017-05-11 2017-09-19 安徽谦通信息科技有限公司 A kind of intelligent auction system of article
CN110348929A (en) * 2018-04-08 2019-10-18 阿里巴巴集团控股有限公司 Method for showing interface, server, client, electronic equipment and storage medium

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