CN104965885B - Information processing method and device - Google Patents
Information processing method and device Download PDFInfo
- Publication number
- CN104965885B CN104965885B CN201510330685.0A CN201510330685A CN104965885B CN 104965885 B CN104965885 B CN 104965885B CN 201510330685 A CN201510330685 A CN 201510330685A CN 104965885 B CN104965885 B CN 104965885B
- Authority
- CN
- China
- Prior art keywords
- polling interval
- value
- accuracy rate
- inquiry
- flight information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2453—Query optimisation
- G06F16/24534—Query rewriting; Transformation
- G06F16/24539—Query rewriting; Transformation using cached or materialised query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2453—Query optimisation
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
This application discloses a kind of information processing method and device, wherein, this method includes:For a course line on a date, at least two different polling interval values are determined;The inquiry accuracy rate value when query caching system in same preset time period inquires about the Flight Information in the course line according to each polling interval value is calculated respectively;According to this at least two polling interval value and its corresponding inquiry accuracy rate value, determine polling interval with inquiring about the relational expression of accuracy rate;According to the relational expression, the polling interval value for meeting default inquiry accuracy rate value is calculated, the polling interval calculated is exported and is worth and give query caching system, so that query caching system is according to the polling interval value inquiry Flight Information calculated.
Description
Technical field
The application is related to information query technique field, more particularly to a kind of information processing method and device.
Background technology
In Civil Aviation Industry, for Flight Information (for example, ticket price, air ticket quantity available, takeoff and landing time, flight generation
Code etc.) inquiry, be required to call Air China letter CRS (Computer Reservation System, agent's Ticket booking system)
System, and pay corresponding enquiry fee and use, so as to bring huge financial burden to airline and electric business tourism platform.For
This, is generally used in the industry by building the method for query caching system to reduce enquiry fee.
At present, most query caching system is using simple full course line Fixed Time Interval search algorithm, i.e.,
For domestic all course lines of setting sail, one query is carried out at interval of fixed duration, by the Flight Information inquired deposit caching.
So, when passenger inquires about the Flight Information in a certain course line, query caching system can read corresponding data from caching and be supplied to
Passenger.Due to the Flight Information as ticket price change it is frequent, but what is preserved in caching be before the time air ticket
The inaccurate situation of price, now, query caching system often occurs in price (non real-time), therefore, passenger when submitting air ticket order
System can obtain newest ticket price to CRS systems again, and the ticket price in caching is updated into the newest air ticket valency
Lattice.
Therefore existing query caching system has the following disadvantages:
(1) polling interval is the fixed value being manually set, if polling interval is oversize, in the presence of inquiring about, accuracy rate is low to ask
Topic, if polling interval is too short, inquiry accuracy rate is high, but inquiry times again be present and frequently result in that inquiry is costly to ask
Topic.Thus, Flight Information is inquired about using the fixation polling interval being manually set, flexibility is poor, it is difficult to meets actual demand.
(2) all course lines of setting sail use identical polling interval, however, in fact the inquiry of passenger is substantially focused on
Popular course line and busy season, so, for a large amount of unexpected winner course lines and the inquiry in dull season, cause the waste of enquiry fee.
The content of the invention
In view of this, this application provides a kind of information processing method and device.
The technical scheme of the application is as follows:
On the one hand, there is provided a kind of information processing method, including:
For a course line on a date, at least two different polling interval values are determined;
The query caching system in same preset time period is calculated respectively inquires about course line according to each polling interval value
Inquiry accuracy rate value during Flight Information;
According to this at least two polling interval value and its corresponding inquiry accuracy rate value, determine that polling interval is accurate with inquiry
The relational expression of rate;
According to the relational expression, the polling interval value for meeting default inquiry accuracy rate value is calculated, is exported between the inquiry calculated
Query caching system is given every value, so that query caching system is according to the polling interval value inquiry Flight Information calculated.
On the other hand, a kind of information processor is additionally provided, including:
Interval determination module, for the course line for a date, determine at least two different polling interval values;
Accuracy rate computing module, determined for calculating the query caching system in same preset time period respectively according to interval
Inquiry accuracy rate value during the Flight Information in each polling interval value inquiry course line that module determines;
Relational expression determining module, for according at least two polling intervals value and its it is corresponding inquiry accuracy rate value, it is determined that
Polling interval and the relational expression of inquiry accuracy rate;
Output module is calculated, for the relational expression determined according to relational expression determining module, it is accurate to calculate the default inquiry of satisfaction
The polling interval value of true rate value, export the polling interval calculated and be worth and give query caching system, so that query caching system is according to calculation
The polling interval value inquiry Flight Information gone out.
In the above technical scheme of the application, for a course line on a date, multiple different polling interval values are determined,
The flight letter that the query caching system in same preset time period inquires about the course line according to each polling interval value is calculated respectively
Inquiry accuracy rate value during breath, then, according to this multiple queries spacing value and its corresponding inquiry accuracy rate value, determine to inquire about
Interval and the relational expression of inquiry accuracy rate, according to the relational expression, calculate the polling interval value for meeting default inquiry accuracy rate value
Export and give query caching system, so, query caching system can is worth according to the polling interval calculated should to CRS system queries
Flight Information.Using this method, the advertised route that can be directed to the scheduled date calculates the default inquiry accuracy rate value of satisfaction in advance
Maximum polling interval value so that query caching system carries out query caching according to the maximum polling interval value calculated, can be full
The caching accuracy rate set enough in advance under, greatly reduce inquiry times and enquiry fee and use, flexibility is stronger, disclosure satisfy that difference
Cache the demand of accuracy rate;Further, since it is the advertised route for the scheduled date, therefore, it is possible to for different cold heat doors
The different default inquiry accuracy rate value of course line, dull and rush season day settings height, so as to obtain different polling interval values, unexpected winner boat
The relatively low default inquiry accuracy rate value of line, dull season day settings is to reduce polling interval value, so as to reduce invalid inquiry, reduces
Enquiry fee is used.
Brief description of the drawings
Fig. 1 is the flow chart of the information processing method of the embodiment of the present application;
Fig. 2 is the flow chart of the information processing method of another embodiment of the application;
Fig. 3 is the structural representation of the information processor of the embodiment of the present application.
Embodiment
In order to solve to inquire about Flight Information, flexibility using the fixation polling interval being manually set present in prior art
It is poor, it is difficult to the problem of meeting actual demand, and, all course lines of setting sail use identical polling interval, for a large amount of cold
The door course line and inquiry in dull season, the problem of causing the waste of enquiry fee, a kind of letter is provided in the application following examples
Cease processing method and a kind of device that can apply this method.
As shown in figure 1, the information processing method of the embodiment of the present application comprises the following steps:
Step S102, for a course line on a date, determine at least two different polling interval values;
Wherein it is possible to according to the enquiry frequency f of the pre-recorded Flight Information, determine between above-mentioned at least two inquiry
Every value, it is designated as:T1,T2,...,TM, wherein, the sum of polling interval that M is to determine out value, M polling interval be worth in minimum
Value is not less than 1/f.
For example, M polling interval value can be 1/f, 2/f ..., M/f.
Step S104, the query caching system in same preset time period is calculated respectively and is looked into according to each polling interval value
Ask the inquiry accuracy rate value during Flight Information in the course line;
Wherein, when according to polling interval value Ti, can be according to below equation (1) during to the CRS system queries Flight Information
Calculate the inquiry accuracy rate value P in the preset time periodi:
Pi=Ai/Sum (1)
Wherein, Sum represents that in the preset time period passenger inquires about the total degree of the Flight Information, AiRepresent at Sum times
In, the Flight Information in query caching system is the number of right value, i=1,2 ..., M.
Specifically, M test model can be built, for simulating query caching system to CRS system queries flight letter
Breath.M test model is inquired about according to different polling interval values respectively, and Query Result is saved in caching.For
According to polling interval value TiThe test model inquired about, in the preset time period, when there is passenger to inquire about the Flight Information,
The Flight Information is obtained to CRS systems, by the value got compared with the value cached in test model, if identical, is said
The value cached in the bright test model is right value, by AiValue add 1.Wherein, AiInitial value be 0.
By step S104, M can be obtained to the data pair being made up of polling interval value and inquiry accuracy rate value, be designated as
(T1,P1),(T2,P2),...,(Ti,Pi),...,(TM,PM)。
Step S106, according at least two polling interval value and its corresponding inquiry accuracy rate value, determine polling interval
Relational expression with inquiring about accuracy rate;
Polling interval t and inquiry accuracy rate ρ relational expression are designated as equation below (2):
ρ=an*tn+an-1*tn-1+...+a1*t+a0 (2)
Wherein, a0,a1,...,anFor parameter, these ginsengs can be calculated according to the M data pair obtained in step S104
Several occurrences;N=1,2 ..., as n=1, formula (2) is a linear relation, and as n >=2, formula (2) is multinomial
Formula.
Parameter a0,a1,...,anIt can be calculated using least square method:Order
Use functionRespectively to an,an-1,...,a1,a0Partial derivative is sought, makes these partial derivatives be equal to zero, can be in the hope of a0,
a1,...,anValue.
Step S108, according to the relational expression obtained in step S106, calculate the inquiry for meeting default inquiry accuracy rate value
Spacing value, export the polling interval calculated and be worth and give query caching system, so that query caching system is looked into according to the polling interval value
Ask the Flight Information.
Flight Information in the above method can be ticket price or air ticket quantity available etc..
In the method for the embodiment of the present application, for a course line on a date, multiple different polling interval values are determined, point
The Flight Information that the query caching system in same preset time period inquires about the course line according to each polling interval value is not calculated
When inquiry accuracy rate value, then, according to this multiple queries spacing value and its corresponding inquiry accuracy rate value, determine between inquiry
Every the relational expression with inquiring about accuracy rate, according to the relational expression, calculate and meet that the polling interval value of default inquiry accuracy rate value is defeated
Go out and give query caching system, so, query caching system can is worth to the CRS system queries boat according to the polling interval calculated
Class's information.Using this method, the advertised route that can be directed to the scheduled date calculates the default inquiry accuracy rate value of satisfaction most in advance
Big polling interval value so that query caching system carries out query caching according to the maximum polling interval value calculated, can meet
The caching accuracy rate of setting in advance under, greatly reduce inquiry times and enquiry fee and use, flexibility is stronger, disclosure satisfy that different slow
Deposit the demand of accuracy rate;Further, since it is the advertised route for the scheduled date, therefore, it is possible to for different cold heat door boats
The different default inquiry accuracy rate value of line, dull and rush season day settings height, so as to obtain different polling interval values, unexpected winner boat
The relatively low default inquiry accuracy rate value of line, dull season day settings is to reduce polling interval value, so as to reduce invalid inquiry, reduces
Enquiry fee is used.
Below so that Flight Information is ticket price as an example, above method is described in detail.Now, as shown in Fig. 2
The information processing method of the embodiment of the present application comprises the following steps:
Step S202, for the advertised route of scheduled date, for example, the date is May 25, Beijing to Kunming in 2015
Course line, according to passenger inquire about ticket price enquiry frequency (frequency can be obtained according to historical data), determine difference
M polling interval value;
For example, the enquiry frequency of passenger is f, then M polling interval value can be respectively 1/f, 2/f ..., M/f.
Step S204, M test model is built parallel, each test model can be according to one determined in step S202
Individual polling interval is worth to CRS system queries ticket price and cached, wherein, polling interval value corresponding to different test models is not
Together;
It can be seen that test model is inquired about equivalent to query caching system according to corresponding polling interval value.
Step S206, opening timing device, in timing course, when there is passenger to inquire about ticket price, obtained to CRS systems
Newest ticket price, and compared with the ticket price with being cached in each test model, if identical, illustrate the test
The ticket price cached in model is right value, by the correct sum of the test model plus 1;The step is constantly performed, until fixed
When device timing reach preset time;
Step S208, for each test model, the test model is calculated according to corresponding polling interval value enquiry machine
Inquiry accuracy rate value during admission fee lattice;
Wherein, total degree that obtained correct sum/passenger inquire about ticket price is inquired about in accuracy rate value=step S206.
At this point it is possible to obtain M to the data pair being made up of polling interval value and inquiry accuracy rate value, (T is designated as respectively1,
P1),(T2,P2),...,(Ti,Pi),...,(TM,PM)。
Step S210, according to (T1,P1),(T2,P2),...,(Ti,Pi),...,(TM,PM), it is true using regression analysis
Make the quantitative relation formula between inquiry accuracy rate and polling interval;
It is assumed that inquiry accuracy rate ρ and polling interval t meets the linear relationship as shown in formula (3):
ρ=a1*t+a0 (3)
Wherein, a1And a0For parameter, can be calculated using least square method.Specifically, order
Use functionTo a1、a0Partial derivative is sought, makes the two partial derivatives be equal to zero, can be in the hope of a1、a0Value, substitute into formula (3) i.e.
The quantitative relation formula inquired about between accuracy rate ρ and polling interval t can be obtained.
Step S212, by default inquiry accuracy rate value PrFormula (3) is substituted into, obtains corresponding polling interval value Tr, will look into
Ask the currently used polling interval value of caching system and be updated to Tr, so as to which query caching system can be according to TrTo CRS system queries
The date ticket price.
For the method in above-described embodiment, a kind of information that can apply this method is additionally provided in the embodiment of the present application
Processing unit, the device can apply in query caching system, device that can also be independent as one.
As shown in figure 3, the information processor is included with lower module:Interval determination module 311, accuracy rate computing module
312nd, relational expression determining module 313 and calculating output module 314, wherein:
Interval determination module 311, for the course line for a date, determine at least two different polling interval values;
Accuracy rate computing module 312, for calculating in same preset time period query caching system respectively according to interval
Inquiry accuracy rate value during the Flight Information in each polling interval value inquiry course line that determining module 311 determines;
Relational expression determining module 313, for according to above-mentioned at least two polling interval value and its corresponding inquiry accuracy rate
Value, determine polling interval with inquiring about the relational expression of accuracy rate;
Output module 314 is calculated, for the relational expression determined according to relational expression determining module 313, it is default to calculate satisfaction
The polling interval value of accuracy rate value is inquired about, the polling interval calculated is exported and is worth and give query caching system, so as to query caching system
According to the polling interval value inquiry Flight Information calculated.
Wherein, interval determination module 311 determines at least two according to the enquiry frequency f of pre-recorded Flight Information
Polling interval is worth, wherein, the minimum value in the value of at least two polling intervals is not less than 1/f.
Wherein, when according to polling interval value TiWhen inquiring about Flight Information, accuracy rate computing module 312 calculates preset time period
Interior inquiry accuracy rate value PiFor:Pi=Ai/ Sum, wherein, Sum is represented in preset time period, and passenger inquires about Flight Information
Total degree, AiRepresenting in Sum times, the Flight Information in query caching system is the number of right value, i=1,2 ..., M, M
Represent the sum of polling interval value determined.
Wherein, relational expression determining module 313 determines that polling interval t is with the relational expression for inquiring about accuracy rate ρ:ρ=an*tn+
an-1*tn-1+...+a1*t+a0;Wherein, n=1,2 ..., ajFor parameter, ajObtained according to below equation:
Wherein, Flight Information can be ticket price or air ticket quantity available etc..
To sum up, the application above example can reach following technique effect:
In the method for the embodiment of the present application, for a course line on a date, multiple different polling interval values are determined, point
The Flight Information that the query caching system in same preset time period inquires about the course line according to each polling interval value is not calculated
When inquiry accuracy rate value, then, according to this multiple queries spacing value and its corresponding inquiry accuracy rate value, determine between inquiry
Every the relational expression with inquiring about accuracy rate, according to the relational expression, calculate and meet that the polling interval value of default inquiry accuracy rate value is defeated
Go out and give query caching system, so, query caching system can is worth to the CRS system queries boat according to the polling interval calculated
Class's information.Using this method, the advertised route that can be directed to the scheduled date calculates the default inquiry accuracy rate value of satisfaction most in advance
Big polling interval value so that query caching system carries out query caching according to the maximum polling interval value calculated, can meet
The caching accuracy rate of setting in advance under, greatly reduce inquiry times and enquiry fee and use, flexibility is stronger, disclosure satisfy that different slow
Deposit the demand of accuracy rate;Further, since it is the advertised route for the scheduled date, therefore, it is possible to for different cold heat door boats
The different default inquiry accuracy rate value of line, dull and rush season day settings height, so as to obtain different polling interval values, unexpected winner boat
The relatively low default inquiry accuracy rate value of line, dull season day settings is to reduce polling interval value, so as to reduce invalid inquiry, reduces
Enquiry fee is used.
The preferred embodiment of the application is the foregoing is only, not limiting the application, all essences in the application
God any modification, equivalent substitution and improvements done etc., should be included within the scope of the application protection with principle.
Claims (10)
- A kind of 1. information processing method, it is characterised in that including:For a course line on a date, at least two different polling interval values are determined;The query caching system in same preset time period is calculated respectively inquires about the course line according to each polling interval value Inquiry accuracy rate value during Flight Information;According at least two polling interval value and its corresponding inquiry accuracy rate value, polling interval and inquiry accuracy rate are determined Relational expression;According to the relational expression, the polling interval value for meeting default inquiry accuracy rate value is calculated, exports the polling interval calculated It is worth to the query caching system, so that the query caching system inquires about the flight according to the polling interval value calculated Information.
- 2. according to the method for claim 1, it is characterised in that according to the enquiry frequency of the pre-recorded Flight Information F, at least two polling interval value is determined, wherein, the minimum value at least two polling intervals value is not less than 1/ f。
- 3. according to the method for claim 1, it is characterised in that calculate the query caching system in same preset time period respectively The method of inquiry accuracy rate value when system inquires about the Flight Information in the course line according to each polling interval value includes:When according to polling interval value TiWhen inquiring about the Flight Information, the inquiry accuracy rate value P in the preset time periodiFor:Pi=Ai/ Sum, wherein, Sum is represented in the preset time period, and passenger inquires about the total degree of the Flight Information, Ai Represent in Sum time, the Flight Information in the query caching system is the number of right value, i=1,2 ..., M, M represent really The sum for the polling interval value made.
- 4. according to the method for claim 1, it is characterised in that determine polling interval t with inquiring about accuracy rate ρ relational expression For:ρ=an*tn+an-1*tn-1+...+a1*t+a0;Wherein, n=1,2 ..., ajFor parameter, ajObtained according to below equation:M represents the sum for the polling interval value determined, PiThe inquiry accuracy rate value in preset time period is represented,TiRepresent polling interval value.
- 5. method according to any one of claim 1 to 4, it is characterised in that the Flight Information be ticket price or Air ticket quantity available.
- A kind of 6. information processor, it is characterised in that including:Interval determination module, for the course line for a date, determine at least two different polling interval values;Accuracy rate computing module, determined for calculating the query caching system in same preset time period respectively according to the interval Each polling interval value that module determines inquires about the inquiry accuracy rate value during Flight Information in the course line;Relational expression determining module, for according at least two polling interval value and its it is corresponding inquiry accuracy rate value, it is determined that Polling interval and the relational expression of inquiry accuracy rate;Output module is calculated, for the relational expression determined according to the relational expression determining module, it is accurate to calculate the default inquiry of satisfaction The polling interval value of true rate value, exports the polling interval calculated and is worth to the query caching system, so as to the query caching system System inquires about the Flight Information according to the polling interval value calculated.
- 7. device according to claim 6, it is characterised in that the interval determination module is according to the pre-recorded boat The enquiry frequency f of class's information, determines at least two polling interval value, wherein, at least two polling intervals value Minimum value be not less than 1/f.
- 8. device according to claim 6, it is characterised in that when according to polling interval value TiWhen inquiring about the Flight Information, The accuracy rate computing module calculates the inquiry accuracy rate value P in the preset time periodiFor:Pi=Ai/ Sum, wherein, Sum is represented in the preset time period, and passenger inquires about the total degree of the Flight Information, Ai Represent in Sum time, the Flight Information in the query caching system is the number of right value, i=1,2 ..., M, M represent really The sum for the polling interval value made.
- 9. device according to claim 6, it is characterised in that the relational expression determining module determines polling interval t with looking into The relational expression for asking accuracy rate ρ is:ρ=an*tn+an-1*tn-1+...+a1*t+a0;Wherein, n=1,2 ..., ajFor parameter, ajObtained according to below equation:M represents the sum for the polling interval value determined, PiThe inquiry accuracy rate value in preset time period is represented,TiRepresent polling interval value.
- 10. the device according to any one of claim 6 to 9, it is characterised in that the Flight Information be ticket price or Air ticket quantity available.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510330685.0A CN104965885B (en) | 2015-06-15 | 2015-06-15 | Information processing method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510330685.0A CN104965885B (en) | 2015-06-15 | 2015-06-15 | Information processing method and device |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104965885A CN104965885A (en) | 2015-10-07 |
CN104965885B true CN104965885B (en) | 2018-03-23 |
Family
ID=54219922
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510330685.0A Active CN104965885B (en) | 2015-06-15 | 2015-06-15 | Information processing method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104965885B (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109961323B (en) * | 2019-03-19 | 2023-07-18 | 深圳市活力天汇科技股份有限公司 | Flight fuel cost real-time updating method |
CN112307328A (en) * | 2020-09-24 | 2021-02-02 | 北京沃东天骏信息技术有限公司 | Method and apparatus for processing information |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101458706A (en) * | 2008-11-11 | 2009-06-17 | 航旅信通(北京)信息技术有限公司 | Method and system for precisely enquiring GDS flight caching data |
US7676684B2 (en) * | 2006-04-11 | 2010-03-09 | Fujitsu Microelectronics Limited | Semiconductor device and signal processing method for synchronizing data with a data strobe signal |
CN102129392A (en) * | 2010-01-18 | 2011-07-20 | 扬智科技股份有限公司 | Method for adaptive frequency regulation and electronic device related thereto |
CN103593426A (en) * | 2013-11-07 | 2014-02-19 | 北京奇虎科技有限公司 | Commodity searching and providing method and device |
-
2015
- 2015-06-15 CN CN201510330685.0A patent/CN104965885B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7676684B2 (en) * | 2006-04-11 | 2010-03-09 | Fujitsu Microelectronics Limited | Semiconductor device and signal processing method for synchronizing data with a data strobe signal |
CN101458706A (en) * | 2008-11-11 | 2009-06-17 | 航旅信通(北京)信息技术有限公司 | Method and system for precisely enquiring GDS flight caching data |
CN102129392A (en) * | 2010-01-18 | 2011-07-20 | 扬智科技股份有限公司 | Method for adaptive frequency regulation and electronic device related thereto |
CN103593426A (en) * | 2013-11-07 | 2014-02-19 | 北京奇虎科技有限公司 | Commodity searching and providing method and device |
Non-Patent Citations (1)
Title |
---|
一种结合 Bayes估计的 NHPP航班查询软件可靠性评估方法;曹卫东等;《计算机工程与科学》;20150331;第37卷(第3期);529-533 * |
Also Published As
Publication number | Publication date |
---|---|
CN104965885A (en) | 2015-10-07 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9235620B2 (en) | Updating cached database query results | |
KR101972199B1 (en) | Updating cached database query results | |
CN104794191B (en) | A kind of method and apparatus for air ticket data update | |
EP1846848A2 (en) | System, method, and computer program product for improving accuracy of cache-based searches | |
US10332038B2 (en) | Travel inventory demand modeling | |
CN109389238B (en) | Ridge regression-based short-term load prediction method and device | |
CN104965885B (en) | Information processing method and device | |
CN107506877B (en) | OTA platform-to-store no-room prediction method and system | |
US20160210584A1 (en) | Travel inventory demand modeling | |
CN107885743A (en) | Position querying method more than a kind of flight based on caching | |
CN111339122B (en) | Active caching method of travel platform, travel query method and related products | |
DE112012004601T5 (en) | Reduce overall cooling and power dissipation to a minimum with rapid alignment | |
CN111340536A (en) | Model training method, passenger seat rate progress prediction method, system, device and medium | |
CN110717620A (en) | Order meal delivery time prediction method and device, electronic equipment and storage medium | |
CN110009287A (en) | Premium determines method, apparatus, equipment and storage medium | |
CN109711894B (en) | Method and system for detecting abnormal flight path requirements | |
JP4509947B2 (en) | Weather prediction system and weather prediction method | |
CN113609142B (en) | Automatic freight rate updating method based on OTA platform data delivery and storage medium | |
CN115643255A (en) | Video transmission method, device, equipment and storage medium | |
Wang et al. | An Affinity Propagation‐Based Clustering Method for the Temporal Dynamics Management of High‐Speed Railway Passenger Demand | |
CN114840559A (en) | Travel product query and model training method, device, equipment and storage medium | |
CN109961323B (en) | Flight fuel cost real-time updating method | |
CN113847923A (en) | Calculation method and device of estimated arrival time, electronic equipment and readable storage medium | |
CN113822609A (en) | Logistics line generation method and device and server | |
CN111475702A (en) | Crawler technology-based airline department price early warning method, system, equipment and medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |