CN103685154A - Internet-based probability product data processing method and server - Google Patents
Internet-based probability product data processing method and server Download PDFInfo
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- CN103685154A CN103685154A CN201210323626.7A CN201210323626A CN103685154A CN 103685154 A CN103685154 A CN 103685154A CN 201210323626 A CN201210323626 A CN 201210323626A CN 103685154 A CN103685154 A CN 103685154A
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Abstract
The invention provides an Internet-based probability product data processing method and a server. The method comprises the following steps: a storage unit and a time interval are preset in the server, and probability product data corresponding to each probability product is periodically stored to the storage unit according to the preset time interval, wherein at least one probability product is stored to the storage unit; the server receives a probability product acquisition request sent by a display side, and generates a probability product acquisition result corresponding to the probability product acquisition request according to a preset probability acquisition rule, wherein the probability product acquisition result comprises probability product information corresponding to the probability product acquisition request; the server sends the probability product acquisition result to the display side in real time. Through the adoption of the method, client retention and enthusiasm are improved, and the processing efficiency of the server on the probability product data is increased.
Description
[technical field]
The present invention relates to Internet technical field, particularly relate to a kind of probability product data processing method and server based on internet.
[background technology]
Along with constantly popularizing of internet, client is more and more to the dependence of the Internet.
The sweepstake of take in the Internet is example, and the existing prize drawing mode substrate based on the Internet is divided three classes: the one, and the mode of accumulated point exchanging prize, such as M-ZONE, credit card integration market etc. all adopt the mode of accumulated point exchanging prize; The 2nd, non real-time prize drawing mode, such as each large lottery ticket website, group buying websites all adopt the mode of non real-time prize drawing; The 3rd, the mode of drawing a lottery and gaining an award at random, the interim prize drawing mode that for example take within a certain active stage electric business website.
But above-mentioned several prize drawing mode based on internet is existent defect all, such as the mode of accumulated point exchanging prize could obtain prize chance because needs continue scores accumulated, reduced client stickiness; The hysteresis quality that non real-time prize drawing mode is announced due to prize-winning result, has reduced client enthusiasm; And the mode that gains an award at random of prize drawing aspect winning probability control, prize operation aspect all lacks hardware and software platform and opening, server is lower to the treatment effeciency of various prize drawing data.
How to provide client multiple probability product category, can also make client can know in real time that probability product obtains result (result of drawing a lottery), increase client stickiness and enthusiasm, improving the treatment effeciency of server to probability product data, is one of direction of Internet technical field research.
[summary of the invention]
One object of the present invention is to provide a kind of probability product data processing method based on internet, to provide client multiple probability product category, can also make client can know in real time that probability product obtains result, increase client stickiness and enthusiasm, improve the treatment effeciency of server to probability product data.
For reaching above-mentioned beneficial effect, the present invention has constructed a kind of probability product data processing method based on internet, comprises the following steps:
The default memory cell of server and the time interval, and according to the default time interval periodically to the probability product data of corresponding each probability product of described memory cell storage; Wherein said memory cell contains the probability product of at least one type;
Described server receives the probability product that display end sends and obtains request, obtains rule generate the probability product that corresponding described probability product obtains request and obtain result according to default probability; Wherein said probability product obtains result and includes corresponding described probability product and obtain the probability product information of request;
Described server is sent to described display end when described probability product is obtained to fructufy, by described display end, described probability product is obtained to result and show.
In an embodiment of the present invention: at described display end, described probability product is obtained after result demonstration, described method is further comprising the steps of:
Described server receives the probability product of described display end transmission and gets instruction;
Described server is got instruction according to described probability product corresponding probability product data is sent to described display end in real time.
In an embodiment of the present invention: the probability product that described server receives display end transmission obtains after request, and described method is further comprising the steps of:
Described server judges that described probability product obtains probability product data corresponding to request and whether is present in described memory cell; If so, first in described memory cell, take out corresponding probability product data, according to default probability, obtain rule more afterwards and generate the probability product that corresponding described probability product obtains request and obtain result.
In an embodiment of the present invention: described method is further comprising the steps of:
Described server is preset a time point;
When arriving described time point, described server empties the probability product data in described memory cell, and again in described memory cell storage probability product data.
In an embodiment of the present invention: described method is further comprising the steps of:
Described server is preset a time period;
Judgement within the described time period wherein a kind of probability product data of class probability product from the number of times taking out in described memory cell, whether surpass preset times, if, within the described time period, the probability product data of this class probability product prize are fixed in described memory cell, to prevent that the probability product data of such other probability product from taking out in described memory cell.Another object of the present invention is to provide a kind of server, to provide client multiple probability product category, can also make client can know in real time that probability product obtains result, increase client stickiness and enthusiasm, improve the treatment effeciency of server to probability product data.
For reaching above-mentioned beneficial effect, the present invention has constructed a kind of server, comprising:
Module is set, for a default memory cell and the time interval;
Data Control module, for the time interval according to default periodically to the probability product data of corresponding each probability product of described memory cell storage; Wherein said memory cell contains the probability product of at least one type;
Receiver module, obtains request for receiving the probability product of display end transmission;
Result-generation module, generates the probability product that corresponding described probability product obtains request and obtains result for obtain rule according to default probability; Wherein said probability product obtains result and includes corresponding described probability product and obtain the probability product information of request;
Sending module, is sent to described display end while described probability product being obtained to fructufy for described server.
In an embodiment of the present invention: described receiver module, also for receiving the probability product of described display end transmission, get instruction;
Described sending module, is also sent to described display end for getting instruction according to described probability product by corresponding probability product data in real time.
In an embodiment of the present invention: described server also comprises judge module;
Described judge module is for judging that described probability product obtains probability product data corresponding to request and whether is present in described memory cell;
At described judge module, judge that described probability product obtains probability product data corresponding to request while being present in described memory cell, described Data Control module is for taking out corresponding probability product data in described memory cell, and described result-generation module obtains rule according to default probability and generates the probability product that corresponding described probability product obtains request and obtain result.
In an embodiment of the present invention: the described module that arranges, also for a default time point;
Described Data Control module, also, for when arriving described time point, empties the probability product data in described memory cell, and again in described memory cell storage probability product data.
In an embodiment of the present invention: the described module that arranges, also for a default time period;
Described judge module, also for judging within the described time period whether a kind of probability product data of class probability product wherein surpass preset times from the number of times taking out in described memory cell; If so, within the described time period, described Data Control module is fixed on the probability product data of this class probability product in described memory cell, to prevent that the probability product data of such other probability product from taking out in described memory cell.
With respect to prior art, the default memory cell of the present invention and the time interval, and according to the default time interval periodically to memory cell storage probability product data, at the probability product that receives display end transmission, obtain after request, according to default probability, obtain rule and generate the probability product that corresponding probability product obtains request and obtain result, and be sent to display end when probability product is obtained to fructufy.Obviously, the present invention not only can provide the probability product of multiple types, and renewal probability product that can be instant, and is sent to display end the probability product of client can be obtained to fructufy time, increase client stickiness and enthusiasm, improved the treatment effeciency of server to probability product data.
For foregoing of the present invention can be become apparent, preferred embodiment cited below particularly, and coordinate appended graphicly, be described in detail below:
[accompanying drawing explanation]
Fig. 1 is the preferred embodiment schematic flow sheet of the probability product data processing method based on internet in the present invention;
Fig. 2 is that in the present invention, server is got instruction according to probability product and corresponding probability product data is sent to the detailed process schematic diagram of display end;
Fig. 3 is the structural representation of server in the present invention.
[embodiment]
The explanation of following embodiment is graphic with reference to what add, can be in order to the specific embodiment of implementing in order to illustration the present invention.The direction term that the present invention mentions, such as " on ", D score, 'fornt', 'back', " left side ", " right side ", " interior ", " outward ", " side " etc., be only the direction with reference to annexed drawings.Therefore, the direction term of use is in order to illustrate and to understand the present invention, but not in order to limit the present invention.In the drawings, the unit of structural similarity is to represent with same numeral.
Refer to Fig. 1, Fig. 1 is the preferred embodiment schematic flow sheet of the probability product data processing method based on internet in the present invention.
In step S101, display end indicating probability product extracts the page.
In specific implementation process, display end receives the probability product page OPEN of client (such as user), and this probability product page OPEN is sent to server.Described server extracts content of pages by corresponding probability product and is sent to display end, by display end, at probability product, extracting the page shows probability product extraction content of pages, for example probability product extracts the page and includes probability product extraction button, and the prize kind that can extract.
In step S102, the probability product that display end receives client input obtains request, and the request of obtaining of probability product is sent to server.
For example client extracts button input probability product by probability product and obtains request, starts to draw a lottery, and can certainly obtain request by alternate manner input probability product, does not enumerate herein.
In step S103, the probability product that described server receives described display end transmission obtains request, according to described probability product, obtain request generating probability product and obtain result, and described probability product is obtained to result be immediately sent to described display end, by described display end, described probability product is obtained to result and show.
The probability that wherein said server sets in advance obtains rule and refers to following formula (1) and formula (2):
m=t-e*n （2）
Wherein e is expected probability product acquisition probability, such as in N calling party, has 1 user's acquisition probability product, and probability product acquisition probability is 1/N; T is that total probability product extracts number of times; N is that total probability product obtains number of times; M is that total probability product does not obtain number of times; P is probability product acquisition probability.E=10 o'clock for example, representing has a client acquisition probability product in 10 clients:
Extract for the first time probability product: t=0, n=0, and probability product acquisition probability is 1/10;
Extract for the second time probability product and have following two kinds of possibilities:
The first, for the first time acquisition probability product: t=1 not, n=0, and probability product acquisition probability is 1/9;
The second, for the first time acquisition probability product: t=1, n=1, and probability product acquisition probability is 0.
In specific implementation process, described server also sets in advance a memory cell, and described memory cell is used for storing the probability product data of various class probability products.At the probability product that receives described display end transmission, obtain after request, described server judges whether the probability product data of the probability product category that the request of obtaining of this probability product is corresponding are present in described memory cell, if not, directly probability product that can not acquisition probability product is obtained to result and be sent to described display end; If exist, first in described memory cell, take out corresponding probability product data, and then according to the probability shown in above-mentioned formula (1) and formula (2), obtain this client of rule judgment whether can acquisition probability product, if can acquisition probability product, corresponding probability product is obtained to result and be sent to described display end, if can acquisition probability product, the one probability product quantity of the increase in described memory cell.By which, the race problem in the time of can effectively avoiding N probability product to be pumped by N+1 user at one time, guarantees that all clients all have an opportunity to obtain probability product, has improved the experience of client.
And, described server sets in advance a time interval, and according to the default time interval, to described memory cell, store up the probability product data of each probability product, for example every one hour, just to described memory cell, store up QQ coin, thereby realize the effect of dynamically adjusting the probability product quantity in described memory cell.
Described server sets in advance a time point, such as the 24th o'clock of every day.When arriving described time point, described server empties the probability product data in described memory cell, and again store probability product data, to guarantee client, probability product is obtained to the feeling of freshness of result, reduce the probability that client is all drawn into same probability product every day, increase user's stickiness.
Described server is a default time period also, within this time period, the probability product data of a certain class probability of described server controls product can only be removed preset times, for example within the time of 30 minutes, the prize of QQ coin can only be removed twice in described memory cell, and client can only extract twice QQ coin in 30 minutes.
In the present invention, described server obtains result by probability product and is immediately sent to described display end, by described display end, by probability product, getting the page obtains result by probability product and shows, so that client can be instant whether know can acquisition probability product, also improved the treatment effeciency of server to probability product data.
In step S104, display end receives the probability product of user's input and gets instruction, and described probability product is got to instruction is sent to server.
In step S105, described server is got instruction according to described probability product corresponding probability product data is sent to described display end immediately, by display end, corresponding probability product data is shown.
In step S106, described client is got processing accordingly to the probability product obtaining.
Such as the prize of gift token class, system is returned and is accessed to your password; For the prize of QQ service class, as QQ head portrait being set, dresss up etc. in space, and system is the service of application responds immediately.
Refer to Fig. 2,2 is the detailed process schematic diagram of step S105 in Fig. 1.
In step S201, described server receives the probability product of described client transmission and gets request.
In specific implementation process, the probability product that described client can be got the page by probability product is got button input probability product and is got instruction.
In step S202, described server is got and is asked to verify described probability product, to judge whether the request of getting of described probability product meets probability product and get standard, if carry out step S203, otherwise carries out step S101.
Wherein said probability product is got standard and is comprised:
1), whether be that recurrence probability product is got request, whether this probability product is got request and was received, and is if so, judged to be recurrence probability product and gets request;
2) whether be, to forge probability product to get request, server can be sent to the key that the probability product of display end obtains in result by judgement and judge, if the request of getting of probability product comprises the probability product that has been sent to display end, do not obtain the key in result, be judged to be and forge probability product and get request.
The probability product that certainly can also include other is got standard, all, within protection range of the present invention, does not enumerate herein.
In step S203, obtain the host-host protocol that described probability product is got the corresponding probability product of request, and then obtain the coffret that sends corresponding probability product data.
Wherein the prize of each type is all to there being the host-host protocol of rate product without exception, such as HTTP (HTTP) agreement, local data base agreement, marketing platform etc.After the host-host protocol of acquisition probability product, can obtain the coffret that sends corresponding probability product data, such as HTTP interface.
In step S204, described server is sent to described display end according to the coffret of corresponding probability product data by probability product data, is shown, so that described client is known the acquisition approach of probability product by described display end.
For example, if client draws is QQ game item,, after described client is got successfully, described server can return to an identifying code by display end; If what client was drawn is QQ head portrait,, after described client is got successfully, the QQ head portrait of described client can upgrade.
Refer to Fig. 3, Fig. 3 is the preferred embodiment structural representation of server in the present invention.
Described server comprises module 31, Data Control module 32, receiver module 33, result-generation module 34, sending module 35 and judge module 36 is set.
The described module 31 that arranges is for presetting a memory cell, the time interval, time point to be the time period.Described Data Control module 32 is periodically stored up probability product data to described memory cell for the time interval according to default; Wherein said memory cell contains the probability product of at least one type.
Described receiver module 33 obtains request for receiving the probability product of display end transmission; Described result-generation module 34 generates the probability product that corresponding described probability product obtains request and obtains result for obtain rule according to default probability; Wherein said probability product obtains result and includes corresponding described probability product and obtain the probability product information of request.
Described sending module 35 is sent to described display end when described probability product is obtained to fructufy, by described display end, described probability product is obtained to result and is shown to client.
Described receiver module 33 is also got instruction for receiving the probability product of described display end transmission; Described sending module 35 is also sent to described display end for getting instruction according to described probability product by corresponding probability product data in real time.
Described judge module 36 is for judging that described probability product obtains probability product data corresponding to request and whether is present in described memory cell; When the described probability product of described judge module 36 judgement obtains probability product data corresponding to request and is present in described memory cell, described Data Control module 32 is for take out corresponding probability product data in described memory cell, and described result-generation module 34 obtains rule according to default probability and generates the probability product that corresponding described probability product obtains request and obtain result.
Described Data Control module 32 also, for when arriving described time point, empties the probability product data in described memory cell, and again in described memory cell storage probability product data.
Described judge module 36 is also for judging within the described time period whether a kind of probability product data of probability product prize wherein surpass preset times from the number of times taking out in described memory cell; If so, within the described time period, described Data Control module 32 is fixed on the probability product data of this class probability product in described memory cell, takes out preventing in described memory cell.
About the detailed operation principle of each module of described server, refer to above for the description of the probability product data processing method based on internet, repeat no more herein.
The default memory cell of the present invention and the time interval, and according to the default time interval periodically to memory cell storage probability product data, at the probability product that receives display end transmission, obtain after request, according to default probability, obtain rule and generate the probability product that corresponding probability product obtains request and obtain result, and be sent to display end when probability product is obtained to fructufy.Obviously, the present invention not only can provide the probability product of multiple types, and renewal probability product that can be instant, and is sent to display end the probability product of client can be obtained to fructufy time, increase client stickiness and enthusiasm, improved the treatment effeciency of server to probability product data.
In sum; although the present invention discloses as above with preferred embodiment; but above preferred embodiment is not in order to limit the present invention; those of ordinary skill in the art; without departing from the spirit and scope of the present invention; all can do various changes and retouching, so the scope that protection scope of the present invention defines with claim is as the criterion.
Claims (10)
1. the probability product data processing method based on internet, is characterized in that: comprise the following steps:
The default memory cell of server and the time interval, and according to the default time interval periodically to the probability product data of corresponding each probability product of described memory cell storage; Wherein said memory cell contains the probability product of at least one type;
Described server receives the probability product that display end sends and obtains request, obtains rule generate the probability product that corresponding described probability product obtains request and obtain result according to default probability; Wherein said probability product obtains result and includes corresponding described probability product and obtain the probability product information of request;
Described server is sent to described display end when described probability product is obtained to fructufy, by described display end, described probability product is obtained to result and show.
2. the probability product data processing method based on internet according to claim 1, is characterized in that: after at described display end, described probability product being obtained to result and showing, described method is further comprising the steps of:
Described server receives the probability product of described display end transmission and gets instruction;
Described server is got instruction according to described probability product corresponding probability product data is sent to described display end in real time.
3. the probability product data processing method based on internet according to claim 1, is characterized in that: described server receives the probability product that display end sends and obtains after request, and described method is further comprising the steps of:
Described server judges that described probability product obtains probability product data corresponding to request and whether is present in described memory cell; If so, first in described memory cell, take out corresponding probability product data, according to default probability, obtain rule more afterwards and generate the probability product that corresponding described probability product obtains request and obtain result.
4. the probability product data processing method method based on internet according to claim 1, is characterized in that: described method is further comprising the steps of:
Described server is preset a time point;
When arriving described time point, described server empties the probability product data in described memory cell, and again in described memory cell storage probability product data.
5. the probability product data processing method based on internet according to claim 3, is characterized in that: described method is further comprising the steps of:
Described server is preset a time period;
Judgement within the described time period wherein a kind of probability product data of class probability product from the number of times taking out in described memory cell, whether surpass preset times, if, within the described time period, the probability product data of this class probability product prize are fixed in described memory cell, to prevent that the probability product data of such other probability product from taking out in described memory cell.
6. a server, is characterized in that: comprising:
Module is set, for a default memory cell and the time interval;
Data Control module, for the time interval according to default periodically to the probability product data of corresponding each probability product of described memory cell storage; Wherein said memory cell contains the probability product of at least one type;
Receiver module, obtains request for receiving the probability product of display end transmission;
Result-generation module, generates the probability product that corresponding described probability product obtains request and obtains result for obtain rule according to default probability; Wherein said probability product obtains result and includes corresponding described probability product and obtain the probability product information of request;
Sending module, is sent to described display end while described probability product being obtained to fructufy for described server.
7. server according to claim 6, is characterized in that:
Described receiver module, also gets instruction for receiving the probability product of described display end transmission;
Described sending module, is also sent to described display end for getting instruction according to described probability product by corresponding probability product data in real time.
8. server according to claim 6, is characterized in that: described server also comprises judge module;
Described judge module is for judging that described probability product obtains probability product data corresponding to request and whether is present in described memory cell;
At described judge module, judge that described probability product obtains probability product data corresponding to request while being present in described memory cell, described Data Control module is for taking out corresponding probability product data in described memory cell, and described result-generation module obtains rule according to default probability and generates the probability product that corresponding described probability product obtains request and obtain result.
9. server according to claim 6, is characterized in that:
The described module that arranges, also for a default time point;
Described Data Control module, also, for when arriving described time point, empties the probability product data in described memory cell, and again in described memory cell storage probability product data.
10. server according to claim 8, is characterized in that:
The described module that arranges, also for a default time period;
Described judge module, also for judging within the described time period whether a kind of probability product data of class probability product wherein surpass preset times from the number of times taking out in described memory cell; If so, within the described time period, described Data Control module is fixed on the probability product data of this class probability product in described memory cell, to prevent that the probability product data of such other probability product from taking out in described memory cell.
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| CN104899768A (en) * | 2015-06-25 | 2015-09-09 | 北京奇虎科技有限公司 | Prize information generation method, device and system |
| CN105096132A (en) * | 2014-05-22 | 2015-11-25 | 阿里巴巴集团控股有限公司 | Method for controlling transaction qualification, method for obtaining transaction qualification, and device for controlling transaction qualification |
| CN105429967A (en) * | 2015-11-05 | 2016-03-23 | 广州华多网络科技有限公司 | Authority determining method and device |
| CN106412053A (en) * | 2016-09-26 | 2017-02-15 | 广州华多网络科技有限公司 | Probability based service configuration method and system |
| CN107844985A (en) * | 2016-09-21 | 2018-03-27 | 腾讯科技（深圳）有限公司 | A kind of probability product data processing method, system and terminal |
| CN107918877A (en) * | 2016-10-08 | 2018-04-17 | 腾讯科技（深圳）有限公司 | Data capture method and device |
| CN108833505A (en) * | 2018-05-31 | 2018-11-16 | 康键信息技术（深圳）有限公司 | Data request processing method, server and storage medium |
| CN108874923A (en) * | 2018-05-31 | 2018-11-23 | 康键信息技术（深圳）有限公司 | Virtual objects distribution method, server and computer readable storage medium |
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| CN105096132A (en) * | 2014-05-22 | 2015-11-25 | 阿里巴巴集团控股有限公司 | Method for controlling transaction qualification, method for obtaining transaction qualification, and device for controlling transaction qualification |
| CN104899768A (en) * | 2015-06-25 | 2015-09-09 | 北京奇虎科技有限公司 | Prize information generation method, device and system |
| CN104899768B (en) * | 2015-06-25 | 2016-12-07 | 北京奇虎科技有限公司 | Winnings information production method, Apparatus and system |
| CN105429967A (en) * | 2015-11-05 | 2016-03-23 | 广州华多网络科技有限公司 | Authority determining method and device |
| CN105429967B (en) * | 2015-11-05 | 2019-02-22 | 广州华多网络科技有限公司 | Permission determines method and device |
| CN107844985A (en) * | 2016-09-21 | 2018-03-27 | 腾讯科技（深圳）有限公司 | A kind of probability product data processing method, system and terminal |
| CN106412053A (en) * | 2016-09-26 | 2017-02-15 | 广州华多网络科技有限公司 | Probability based service configuration method and system |
| CN107918877A (en) * | 2016-10-08 | 2018-04-17 | 腾讯科技（深圳）有限公司 | Data capture method and device |
| CN107918877B (en) * | 2016-10-08 | 2021-08-10 | 腾讯科技（深圳）有限公司 | Data acquisition method and device |
| CN108833505A (en) * | 2018-05-31 | 2018-11-16 | 康键信息技术（深圳）有限公司 | Data request processing method, server and storage medium |
| CN108874923A (en) * | 2018-05-31 | 2018-11-23 | 康键信息技术（深圳）有限公司 | Virtual objects distribution method, server and computer readable storage medium |
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