CN113344679A - Train ticket recommendation method, system, equipment and medium - Google Patents
Train ticket recommendation method, system, equipment and medium Download PDFInfo
- Publication number
- CN113344679A CN113344679A CN202110748431.6A CN202110748431A CN113344679A CN 113344679 A CN113344679 A CN 113344679A CN 202110748431 A CN202110748431 A CN 202110748431A CN 113344679 A CN113344679 A CN 113344679A
- Authority
- CN
- China
- Prior art keywords
- passenger
- train ticket
- age
- acquiring
- place
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000004590 computer program Methods 0.000 claims description 10
- 238000010586 diagram Methods 0.000 description 4
- 230000002452 interceptive effect Effects 0.000 description 3
- AYIRNRDRBQJXIF-NXEZZACHSA-N (-)-Florfenicol Chemical compound CS(=O)(=O)C1=CC=C([C@@H](O)[C@@H](CF)NC(=O)C(Cl)Cl)C=C1 AYIRNRDRBQJXIF-NXEZZACHSA-N 0.000 description 2
- 229960003760 florfenicol Drugs 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0611—Request for offers or quotes
-
- G06Q50/40—
Abstract
The invention discloses a train ticket recommendation method, a train ticket recommendation system, equipment and a medium, wherein the train ticket recommendation method comprises the steps of obtaining a departure place and an arrival place for purchasing a train ticket; obtaining passenger types corresponding to passengers according to the departure place and the arrival place of the train ticket; the passenger types are corresponding crowd types of the passengers at different age stages; and recommending the price of the corresponding train ticket according to the passenger type, the departure place and the arrival place. The invention not only improves the efficiency of the train ticket recommendation, but also improves the accuracy of the train ticket recommendation.
Description
Technical Field
The invention relates to the technical field of software, in particular to a train ticket recommendation method, a train ticket recommendation system, train ticket recommendation equipment and a train ticket recommendation medium.
Background
During the sale of train tickets, passengers of different age stages are generally defined as different passenger types, for example: the passengers aged 30 to 59 were defined as adults, and the passengers aged 60 and over were defined as long. In a scenario of selling multi-country multi-operator train tickets, there are some different countries and different operators that define passengers at the same age stage as different passenger types, and thus it is necessary for a user to determine the passenger type of a passenger when purchasing a train ticket. At present, when a user purchases a train ticket, the user needs to search for a passenger type corresponding to a passenger through a pre-established table, input the searched passenger type, and then push the corresponding train ticket price to the user. By adopting the method, the time and the labor are wasted when the user buys the train tickets of which the departure place and the destination belong to the same country and the same operator, and the price pushed to the user is inaccurate when the departure place and the destination do not belong to the same country or belong to the same country but do not belong to the same operator.
Disclosure of Invention
The invention aims to overcome the defects of low efficiency and low recommendation accuracy of train ticket recommendation in the prior art, and provides a train ticket recommendation method, a train ticket recommendation system, equipment and a medium.
The invention solves the technical problems through the following technical scheme:
the invention discloses a train ticket recommendation method, which comprises the following steps:
acquiring a departure place and an arrival place for purchasing a train ticket;
obtaining passenger types corresponding to passengers according to the departure place and the arrival place of the train ticket; the passenger types are corresponding crowd types of the passengers at different age stages;
and recommending the price of the corresponding train ticket according to the passenger type, the departure place and the arrival place.
Preferably, the step of obtaining the passenger type corresponding to the passenger according to the departure place and the arrival place of the train ticket includes:
judging whether the countries corresponding to the departure place and the arrival place of the train ticket are different countries or not according to the departure place and the arrival place of the train ticket, if so, acquiring the age of the passenger and acquiring the corresponding passenger type according to the age of the passenger, if not, judging whether the operators of the countries define the same passenger type for the passengers in the same age stage or not, if so, directly acquiring the passenger type, and if not, acquiring the age of the passenger and acquiring the corresponding passenger type according to the age of the passenger.
Preferably, the passenger types include adult, senior, child/young.
Preferably, the adult is in the age range of greater than 29 years of age and less than 60 years of age;
the elderly are 60 years old or older;
the age range of the children/young adults is more than or equal to 4 years old and less than or equal to 29 years old.
The invention also provides a train ticket recommendation system, which comprises:
the first acquisition module is used for acquiring a departure place and an arrival place for purchasing the train ticket;
the second acquisition module is used for acquiring the passenger type corresponding to the passenger according to the departure place and the arrival place of the train ticket; the passenger types are corresponding crowd types of the passengers at different age stages;
and the recommending module is used for recommending the price of the corresponding train ticket according to the passenger type, the departure place and the arrival place.
Preferably, the second obtaining module is specifically configured to:
judging whether the countries corresponding to the departure place and the arrival place of the train ticket are different countries or not according to the departure place and the arrival place of the train ticket, if so, acquiring the age of the passenger and acquiring the corresponding passenger type according to the age of the passenger, if not, judging whether the operators of the countries define the same passenger type for the passengers in the same age stage or not, if so, directly acquiring the passenger type, and if not, acquiring the age of the passenger and acquiring the corresponding passenger type according to the age of the passenger.
Preferably, the passenger types include adult, senior, child/young.
Preferably, the adult is in the age range of greater than 29 years of age and less than 60 years of age;
the elderly are 60 years old or older;
the age range of the children/young adults is more than or equal to 4 years old and less than or equal to 29 years old.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the train ticket recommendation method.
The invention also provides a computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the train ticket recommendation method as described above.
The positive progress effects of the invention are as follows:
the invention discloses a train ticket purchasing method, a train ticket purchasing system, train ticket purchasing equipment and train ticket purchasing media.
Drawings
Fig. 1 is a flowchart of a train ticket recommendation method according to embodiment 1 of the present invention;
FIG. 2 is a flowchart of step S102 in embodiment 1 of the present invention;
fig. 3 is a schematic view of an interactive interface of a purchase ticket filling departure place and an arrival place in embodiment 1 of the present invention;
FIG. 4 is a schematic view of a ticket-buying selecting passenger type interactive interface in embodiment 1 of the present invention;
fig. 5 is a schematic view of an age interaction interface for ticket purchase selection in embodiment 1 of the present invention;
FIG. 6 is a schematic diagram of an interactive interface for selecting passenger types and passenger population for ticket purchase according to embodiment 1 of the present invention;
fig. 7 is a schematic view of a ticket purchase price recommendation interaction interface in embodiment 1 of the present invention;
fig. 8 is a block diagram of a train ticket recommender system in accordance with embodiment 2 of the present invention;
fig. 9 is a schematic structural diagram of an electronic device according to embodiment 3 of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
Example 1
As shown in fig. 1, the embodiment discloses a train ticket recommendation method, which includes the following steps:
s101, acquiring a departure place and an arrival place for purchasing a train ticket;
s102, obtaining passenger types corresponding to passengers according to the departure place and the arrival place of the train ticket; the passenger types are corresponding crowd types of the passengers at different age stages; in particular, the passenger types include adult, senior, child/young. Wherein the adult is in the age range of greater than 29 years of age and less than 60 years of age; the elderly are 60 years old or older; the age range of said child/said young adult is greater than or equal to 4 years old and less than or equal to 29 years old.
And S103, recommending the price of the corresponding train ticket according to the passenger type, the departure place and the arrival place.
As shown in fig. 2, step S102 includes the steps of:
and step S1021, judging whether the countries corresponding to the departure place and the arrival place of the train ticket are different countries or not according to the departure place and the arrival place of the train ticket, if so, executing step S1022, and if not, executing step S1023. Generally, different countries, different passenger types are defined for passengers of the same age class, e.g. the passenger type aged 4 to 29 years is child/young, wherein the age at which children and young are divided is different in different countries.
Step S1022, acquiring the age of the passenger and acquiring the corresponding passenger type according to the age of the passenger; and finishing the process after the step is executed.
Step S1023, determine whether the operators in the country define the same passenger type for the passengers in the same age class, if yes, go to step S1024, if no, go to step S1025. In particular, different operators in different regions of italy have different definitions for passengers of the same age stage.
And step S1024, directly acquiring the passenger types, executing the step and ending the process.
And S1025, acquiring the age of the passenger and acquiring the corresponding passenger type according to the age of the passenger.
In an embodiment of purchasing tickets by a specific user, as shown in fig. 3, a user needs to purchase an overseas train ticket, and first, the user selects the place of departure as florfenicol and the place of arrival as milan. Then, according to the departure place and the country of the arrival place selected by the user, the user correspondingly selects the corresponding passenger type and the corresponding age range in the passenger type floating floor, and the user can add or subtract the number of passengers according to the age range. As shown in fig. 4, if the ages of the passengers who purchase 2 train tickets are 40 years old, 2 persons are directly selected from the passenger types of "adult"; as shown in fig. 5 and 6, if the user needs to purchase 2 train tickets and the age of the passenger is 16 years old, 2 persons are selected from the passenger type of "children/young" and then the age is selected in the age floating floor. As shown in fig. 7, after the final user selection is completed, the user clicks on the search, and recommends the price of the corresponding train ticket according to the selected passenger type, departure place and arrival place.
The embodiment discloses a train ticket recommendation method, which includes the steps of obtaining a departure place and an arrival place for purchasing a train ticket, obtaining a passenger type corresponding to a passenger according to the departure place and the arrival place of the train ticket, and recommending the price of the corresponding train ticket according to the passenger type, the departure place and the arrival place, so that the train ticket recommendation efficiency is improved, and the train ticket recommendation accuracy is improved.
Example 2
As shown in fig. 8, the present embodiment discloses a train ticket recommendation system, which includes:
the first acquisition module 1 is used for acquiring a departure place and an arrival place for purchasing a train ticket;
the second obtaining module 2 is used for obtaining the passenger type corresponding to the passenger according to the departure place and the arrival place of the train ticket; the passenger types are corresponding crowd types of the passengers at different age stages; specifically, the second obtaining module is configured to determine whether countries corresponding to the departure location and the arrival location of the train ticket are different countries according to the departure location and the arrival location of the train ticket, if so, obtain the age of the passenger and obtain the corresponding passenger type according to the age of the passenger, if not, determine whether an operator of the country defines the same passenger type for passengers at the same age stage, if so, directly obtain the passenger type, and if defined as different passenger types, obtain the age of the passenger and obtain the corresponding passenger type according to the age of the passenger. Wherein the passenger type includes adult, senior, child/young. Wherein the adult is in the age range of greater than 29 years of age and less than 60 years of age; the elderly are 60 years old or older; the age range of said child/said young adult is greater than or equal to 4 years old and less than or equal to 29 years old. In this embodiment, different operators in different regions of italy have different definitions for passengers of the same age stage.
And the recommending module 3 is used for recommending the price of the corresponding train ticket according to the passenger type, the departure place and the arrival place.
In an embodiment of purchasing tickets by a specific user, as shown in fig. 3, a user needs to purchase an overseas train ticket, and first, the user selects the place of departure as florfenicol and the place of arrival as milan. Then, according to the departure place and the country of the arrival place selected by the user, the user correspondingly selects the corresponding passenger type and the corresponding age range in the passenger type floating floor, and the user can add or subtract the number of passengers according to the age range. As shown in fig. 4, if the ages of the passengers who purchase 2 train tickets are 40 years old, 2 persons are directly selected from the passenger types of "adult"; as shown in fig. 5 and 6, if the user needs to purchase 2 train tickets and the age of the passenger is 16 years old, 2 persons are selected from the passenger type of "children/young" and then the age is selected in the age floating floor. As shown in fig. 7, after the final user selection is completed, the user clicks on the search, and recommends the price of the corresponding train ticket according to the selected passenger type, departure place and arrival place.
The embodiment discloses a train ticket recommendation system, which acquires a departure place and an arrival place for purchasing a train ticket, acquires a passenger type corresponding to a passenger according to the departure place and the arrival place of the train ticket, and recommends a price of the corresponding train ticket according to the passenger type, the departure place and the arrival place, so that the train ticket recommendation efficiency is improved, and the train ticket recommendation accuracy is improved.
Example 3
Fig. 9 is a schematic structural diagram of an electronic device according to embodiment 5 of the present invention. The electronic device comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the train ticket recommendation method provided by embodiment 1. The electronic device 40 shown in fig. 9 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 9, the electronic device 40 may be embodied in the form of a general purpose computing device, which may be, for example, a server device. The components of electronic device 40 may include, but are not limited to: the at least one processor 41, the at least one memory 42, and a bus 43 connecting the various system components (including the memory 42 and the processor 41).
The bus 43 includes a data bus, an address bus, and a control bus.
The memory 42 may include volatile memory, such as Random Access Memory (RAM)421 and/or cache memory 422, and may further include Read Only Memory (ROM) 423.
The processor 41 executes various functional applications and data processing, such as a train ticket recommendation method provided in embodiment 1 of the present invention, by executing the computer program stored in the memory 42.
The electronic device 40 may also communicate with one or more external devices 44 (e.g., keyboard, pointing device, etc.). Such communication may be through an input/output (I/O) interface 45. Also, model-generating device 40 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via network adapter 46. As shown, the network adapter 46 communicates with the other modules of the model-generated device 40 over a bus 43. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the model-generating device 40, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module according to embodiments of the invention. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
Example 4
The present embodiment provides a computer-readable storage medium on which a computer program is stored, which when executed by a processor, implements the steps of the train ticket recommendation method provided in embodiment 1.
More specific examples, among others, that the readable storage medium may employ may include, but are not limited to: a portable disk, a hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible implementation manner, the present invention can also be implemented in the form of a program product including program code for causing a terminal device to execute the steps of implementing the train ticket recommendation method provided in embodiment 1 when the program product is run on the terminal device.
Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may be executed entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (10)
1. A train ticket recommendation method is characterized by comprising the following steps:
acquiring a departure place and an arrival place for purchasing a train ticket;
obtaining passenger types corresponding to passengers according to the departure place and the arrival place of the train ticket; the passenger types are corresponding crowd types of the passengers at different age stages;
and recommending the price of the corresponding train ticket according to the passenger type, the departure place and the arrival place.
2. The train ticket recommendation method of claim 1, wherein the step of obtaining the passenger type corresponding to the passenger according to the departure place and the arrival place of the train ticket comprises:
judging whether the countries corresponding to the departure place and the arrival place of the train ticket are different countries or not according to the departure place and the arrival place of the train ticket, if so, acquiring the age of the passenger and acquiring the corresponding passenger type according to the age of the passenger, if not, judging whether the operators of the countries define the same passenger type for the passengers in the same age stage or not, if so, directly acquiring the passenger type, and if not, acquiring the age of the passenger and acquiring the corresponding passenger type according to the age of the passenger.
3. A train ticket recommendation method as in claim 2 wherein said passenger types include adult, senior, child/youth.
4. A train ticket recommendation method as in claim 3 wherein said adult is in the age range of greater than 29 years and less than 60 years;
the elderly are 60 years old or older;
the age range of the children/young adults is more than or equal to 4 years old and less than or equal to 29 years old.
5. A train ticket recommendation system, characterized in that it comprises:
the first acquisition module is used for acquiring a departure place and an arrival place for purchasing the train ticket;
the second acquisition module is used for acquiring the passenger type corresponding to the passenger according to the departure place and the arrival place of the train ticket; the passenger types are corresponding crowd types of the passengers at different age stages;
and the recommending module is used for recommending the price of the corresponding train ticket according to the passenger type, the departure place and the arrival place.
6. The train ticket recommendation system of claim 5, wherein the second obtaining module is specifically configured to:
judging whether the countries corresponding to the departure place and the arrival place of the train ticket are different countries or not according to the departure place and the arrival place of the train ticket, if so, acquiring the age of the passenger and acquiring the corresponding passenger type according to the age of the passenger, if not, judging whether the operators of the countries define the same passenger type for the passengers in the same age stage or not, if so, directly acquiring the passenger type, and if not, acquiring the age of the passenger and acquiring the corresponding passenger type according to the age of the passenger.
7. A train ticket recommendation system as claimed in claim 6 wherein said passenger types include adult, senior, child/youth.
8. A train ticket recommendation system as in claim 7 wherein said adult is in the age range of greater than 29 years and less than 60 years;
the elderly are 60 years old or older;
the age range of the children/young adults is more than or equal to 4 years old and less than or equal to 29 years old.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the train ticket recommendation method of any one of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the train ticket recommendation method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110748431.6A CN113344679A (en) | 2021-06-30 | 2021-06-30 | Train ticket recommendation method, system, equipment and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110748431.6A CN113344679A (en) | 2021-06-30 | 2021-06-30 | Train ticket recommendation method, system, equipment and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113344679A true CN113344679A (en) | 2021-09-03 |
Family
ID=77482138
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110748431.6A Pending CN113344679A (en) | 2021-06-30 | 2021-06-30 | Train ticket recommendation method, system, equipment and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113344679A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001202540A (en) * | 2000-01-19 | 2001-07-27 | Toshiba Corp | Automatic fare adjusting machine |
| CN102542352A (en) * | 2012-01-20 | 2012-07-04 | 上海量明科技发展有限公司 | Method and system for ordering railway tickets |
| CN105631630A (en) * | 2015-12-25 | 2016-06-01 | 中国民航信息网络股份有限公司 | Passenger order data processing method and device |
| CN108256050A (en) * | 2018-01-12 | 2018-07-06 | 携程旅游网络技术（上海）有限公司 | Association service method for pushing, system, equipment and the storage medium of stroke order |
| CN112199405A (en) * | 2020-09-30 | 2021-01-08 | 中国民航信息网络股份有限公司 | Method and device for searching international air ticket change price |
| CN112785020A (en) * | 2021-01-07 | 2021-05-11 | 五邑大学 | Passenger ticket buying time prediction method based on intercity high-speed railway and electronic equipment |
-
2021
- 2021-06-30 CN CN202110748431.6A patent/CN113344679A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001202540A (en) * | 2000-01-19 | 2001-07-27 | Toshiba Corp | Automatic fare adjusting machine |
| CN102542352A (en) * | 2012-01-20 | 2012-07-04 | 上海量明科技发展有限公司 | Method and system for ordering railway tickets |
| CN105631630A (en) * | 2015-12-25 | 2016-06-01 | 中国民航信息网络股份有限公司 | Passenger order data processing method and device |
| CN108256050A (en) * | 2018-01-12 | 2018-07-06 | 携程旅游网络技术（上海）有限公司 | Association service method for pushing, system, equipment and the storage medium of stroke order |
| CN112199405A (en) * | 2020-09-30 | 2021-01-08 | 中国民航信息网络股份有限公司 | Method and device for searching international air ticket change price |
| CN112785020A (en) * | 2021-01-07 | 2021-05-11 | 五邑大学 | Passenger ticket buying time prediction method based on intercity high-speed railway and electronic equipment |
Non-Patent Citations (4)
| Title |
|---|
| ANDY WANG: "跨国铁路订票攻略2：捷克布拉格Praha→德国慕尼黑Munich！", 《OPQ旅行网》 * |
| TOBIAS KUHNIMHOF: "Travel trends among young adults in Germany: increasing multimodality", 《JOURNAL OF TRANSPORT GEOGRAPHY》 * |
| 文佳星: "基于潜在类别分析的高速铁路旅客选择行为及市场细分研究", 《中国优秀硕士学位论文全文数据库 经济与管理科学辑》 * |
| 黄武军: "我国高速铁路客票定价管理与策略研究", 《中国优秀硕士学位论文全文数据库 经济与管理科学辑》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10769187B2 (en) | Crowdsourced training of textual natural language understanding systems | |
| Sweeney | Achieving service-oriented architecture: applying an enterprise architecture approach | |
| US20210073892A1 (en) | Product ordering method | |
| US20180365091A1 (en) | Error assignment for computer programs | |
| CN112131848A (en) | Method and device for generating document information, storage medium and electronic equipment | |
| CN111428131A (en) | Information pushing method, device and system | |
| US20170286970A1 (en) | Answer-suggestion system for automatically resolving customer requests | |
| US8990122B2 (en) | Method and system for providing computer application support | |
| Rudiarto et al. | Design of Bajaj Transportation Rental Application System With First Come First Served Algorithm | |
| CN111368195A (en) | Model training method, device, equipment and storage medium | |
| US20180067838A1 (en) | Using workload profiling and analytics to understand and score complexity of test environments and workloads | |
| CN113344679A (en) | Train ticket recommendation method, system, equipment and medium | |
| CN110796518A (en) | E-commerce interaction activity processing method and system | |
| US20200327364A1 (en) | Clustering simulation failures for triage and debugging | |
| US20200142985A1 (en) | Asynchronously publishing events to a message bus in an event-driven computing system | |
| US10628840B2 (en) | Using run-time and historical customer profiling and analytics to determine and score customer adoption levels of platform technologies | |
| CN111507471B (en) | Model training method, device, equipment and storage medium | |
| CN107609871B (en) | Payment track reproduction method, device, system, electronic equipment and storage medium | |
| US20230359808A1 (en) | Distributed Actor-Based Information System and Method | |
| US20170124602A1 (en) | Demand matching method on network and workspace trading platform using such method | |
| US11556952B2 (en) | Determining transaction-related user intentions using artificial intelligence techniques | |
| CN111177501B (en) | Label processing method, device and system | |
| US20230186349A1 (en) | Recommender for advertisement placements in sequential workflows | |
| US20230186344A1 (en) | Dynamically updated advertisement placements in sequential workflows | |
| US20180285895A1 (en) | Estimation of variation of attribute values of agents |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210903 |