CN113282845A - Interactive task pushing method and device - Google Patents
Interactive task pushing method and device Download PDFInfo
- Publication number
- CN113282845A CN113282845A CN202110577654.0A CN202110577654A CN113282845A CN 113282845 A CN113282845 A CN 113282845A CN 202110577654 A CN202110577654 A CN 202110577654A CN 113282845 A CN113282845 A CN 113282845A
- Authority
- CN
- China
- Prior art keywords
- user
- interactive
- scene
- interaction
- task
- 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
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- 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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0261—Targeted advertisements based on user location
-
- 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]
- G06Q30/0639—Item locations
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Economics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Information Transfer Between Computers (AREA)
- Navigation (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The application provides a pushing method of an interactive task, which comprises the following steps: collecting user behavior data; determining a user scene according to the user behavior data; starting an interactive task corresponding to the user scene; wherein, different user scenes correspond to different interaction tasks respectively; according to the method and the device, different interaction tasks can be pushed for the user based on the difference of the user scene where the user is located, and the interactivity between the user and the user scene is enhanced.
Description
Technical Field
The application relates to the field of computer application, in particular to a pushing method and device for an interactive task.
Background
In the field of mobile internet, it has become more and more common to perform data analysis on user data, mine offline requirements of users, and then improve user experience by combining the mined offline requirements of users. With the continuous development of the mobile internet, the user scenes are more and more abundant, and how to better utilize the difference of the user scenes where the user is located to improve the user experience has very important significance.
Disclosure of Invention
The application provides an interactive task pushing method, which is applied to a client side and comprises the following steps:
collecting user behavior data;
determining a user scene according to the user behavior data;
starting an interactive task corresponding to the user scene; wherein, different user scenes correspond to different interaction tasks respectively.
This application still provides a pusher of interactive task, is applied to the customer end, the device includes:
the acquisition module is used for acquiring user behavior data;
the determining module is used for determining a user scene according to the user behavior data;
the starting module is used for starting an interactive task corresponding to the user scene; wherein, different user scenes correspond to different interaction tasks respectively.
The application provides a pushing method of an interactive task, which comprises the steps of acquiring user behavior data, determining a user scene according to the user behavior data, and starting the interactive task corresponding to the user scene; the different user scenes correspond to the different interactive tasks respectively, so that the different interactive tasks can be pushed towards the user based on the difference of the user scenes where the user is located, and when the user is located in the different user scenes, the user can interact with the current user scene through executing the interactive task initiated by the interactive client, so that the interactivity between the user and the user scenes can be enhanced, and the interactive experience of the user is improved.
Drawings
Fig. 1 is a processing flow diagram illustrating a pushing method of an interactive task according to an embodiment of the present application;
fig. 2 is a schematic diagram illustrating pushing of different driving interaction tasks to a user based on a driving scene according to an embodiment of the application;
FIG. 3 is a schematic diagram illustrating pushing different consumption interaction tasks to a user based on a consumption scenario according to an embodiment of the present application;
FIG. 4 is a logic block diagram of a pushing device for interactive tasks according to an embodiment of the present application;
fig. 5 is a hardware structure diagram related to an interactive client of a push device carrying the interactive task according to an embodiment of the present application.
Detailed Description
The application aims to provide a technical scheme for starting different interactive tasks based on the difference of user scenes where users are located.
Taking the above-mentioned interaction task as an example, the existing game on the user mobile terminal is complicated and various, including various types, various game characters, and various scenes. Some games have common points with the offline scene where the user is located; such as the user's actual parking process being in the same position as a parking game on the user's mobile terminal, a game of shopping in a shop and robbing a shop coupon, even a game of a role-playing class of the owner who purchased the movie tickets, etc.
According to the technical scheme, the user scene where the user is located at present is determined by collecting and analyzing the user behavior data, and then the game can be recommended to the user according to the user scene where the user is located at present within the offline activity fragmentation time of the user.
On one hand, because the current user scene of the user and the pushed game have correlation, the interest of the user game is higher, and the user experience is improved; on the other hand, space for business operations is also provided for operation subjects such as stores and movie theaters.
The present application is described below with reference to specific embodiments and specific application scenarios.
Referring to fig. 1, fig. 1 is a diagram illustrating a method for pushing an interactive task, applied to a client, according to an embodiment of the present application, where the method includes the following steps:
103, starting an interactive task corresponding to the user scene; wherein, different user scenes correspond to different interaction tasks respectively.
The client can provide interactive service for users; or the client software which can provide the multi-interaction service for the user is carried; for example, in one application scenario shown, the interactive task may be an online interactive game; the client can be special game client software which simulates a virtual route corresponding to the real driving route of the vehicle in a game interface during driving and provides driving game interaction for passengers; or, client software of other types of life service classes with similar game functions is loaded; such as a pay for your (Alipay) client software.
The user scenario described above generally corresponds to an offline demand of a user; in practical application, the offline requirements of the users are mined by collecting the user behavior data and performing big data analysis on the collected user behavior data by adopting a specific data analysis algorithm, and then the offline requirements are abstracted into corresponding user scenes. By the method, the abstracted user scene can be utilized to more accurately analyze and describe the offline requirements of the user;
for example, in practical applications, a user usually has a demand for online consumption in different consumption places, and in this case, the demand for online consumption of the user may be abstracted into different offline consumption scenarios based on the difference of the consumption places; such as a user scenario for consumption in a movie theater, a user scenario for consumption in a dining venue, and so on.
For another example, in practical application, in a driving scene, a user usually has different offline places for interaction with a vehicle on a driving route, and in this case, the user can abstract the different offline places for interaction with different types of offline places into different interactive scenes based on the different offline places where the vehicle approaches; for example, a user scene that a passenger and an off-line shop on a driving route interactively receive coupons, a user scene that a passenger and a parking lot near a destination place interactively assist in selecting a target parking lot for a driver, a user scene that a passenger and a target parking place interactively assist in selecting an idle parking lot for a driver, and the like.
The user behavior data may include any form of user data related to the operation behavior of the user on the client; the specific type of the user behavior data generally corresponds to a user scene where the user is located, depends on the actual offline requirement of the user, and is not particularly limited in the present application;
in an illustrated embodiment, when the user scenario is an offline consumption scenario, the user behavior data may include user transaction data (e.g., order data, commodity data, consumption receipt data, etc. generated by the user during the offline consumption process) corresponding to the offline consumption behavior of the user; when the user scene is an interactive scene of an offline place where a passenger of the vehicle approaches the vehicle, the user behavior data may further include user location data of the user (for example, longitude and latitude data corresponding to the positioning location of the user, which is acquired by calling a GPS module mounted on a mobile terminal where the client is located).
In this example, the client may collect user behavior data in real time in the background; for example, when the user uses the client to perform daily operations, the client may record each operation behavior of the user in real time in a system background, generate a related log file, and periodically collect the generated log file to collect user behavior data related to the daily operation behavior of the user.
Furthermore, after the client collects the user behavior data, the collected user behavior data can be subjected to data analysis through a carried related algorithm, and then the user scene where the user is located currently is determined.
In an embodiment shown, the user behavior data may include positioning location data of the user; for example, the client may synchronously acquire the current positioning position data of the user during the process of acquiring the user behavior data of the user, and then add the acquired positioning position data of the user to the acquired user behavior data.
In this case, the client may perform user scene analysis based on the positioning location data of the user. When the method is realized, the client can carry a map database in advance; or, the data access interface is used for interfacing with a map database of a third party;
in the map database, a large number of pre-marked POIs (points of Information) may be included, and each POI may contain Information such as a name of the POI, a category of the POI, a longitude and latitude of the POI, a nearby offline place, and the like.
When the client analyzes the user scene based on the positioning position data of the user, the client can access the map database, take the positioning position data of the user as a query index, perform POI matching search in the map database, and then determine the user scene where the user is currently located according to the searched POI information corresponding to the positioning position data of the user.
For example, assuming that the found POI information corresponding to the positioning location data of the user is a POI corresponding to a movie theater or a shopping mall, it may be determined that the user scene where the user is currently located is a user scene consumed at the movie theater or the shopping mall.
In this way, the positioning position data of the user can be used as the basis for scene analysis, so that the change of the user scene where the user is currently located can be quickly sensed based on the change of the positioning position of the user.
In an embodiment shown, the user behavior data may further include user transaction data generated when the user performs offline consumption; such as order data, commodity data, consumption receipt data, etc. generated by the user during the execution of the offline consumption process.
In this case, the client may perform user scenario analysis based on the user transaction data. When the method is implemented, the client can analyze the collected user transaction data, analyze the transaction object information related to the current transaction of the user, and then determine the user scene where the user is currently located based on the transaction object information.
For example, in practical applications, the transaction object information may generally include information of a commodity purchased by the user in the current transaction, a transaction amount, merchant information, and the like; if the client analyzes the user transaction data, and the analyzed transaction object information is that a transaction is executed in a certain movie theater or a certain market, it can be determined that the user scene where the user is currently located is a user scene consumed in the movie theater or the market.
By the method, the user transaction data can be used as a basis for scene analysis, so that the current user scene of the user can be rapidly distinguished based on the transaction object information obtained by analyzing the user transaction data.
Of course, it should be noted that, in practical applications, the process of performing data analysis on the collected user behavior data may also be completed on a server that interfaces with a client. Under the condition, the client can upload the collected user behavior data to the server in real time, the server completes the subsequent data analysis process to determine the user scene where the user is currently located, and returns a corresponding result to the client.
In this example, the client may be preconfigured with several different interactive tasks. The type and the number of the preconfigured interaction tasks are not particularly limited in the present application, and in practical application, the interaction tasks can be dynamically added based on specific interaction requirements.
Meanwhile, for the interactive tasks completed by the pre-configuration, the client can also associate different application scenes for different interactive tasks, so that the interactive tasks corresponding to the user scenes can be pushed to the user when the user scenes where the user is located are determined.
When the method is realized, a plurality of user scenes can be pre-configured on the client; the preconfigured user scenes may include user scenes manually added by an operator, and user scenes determined by the client through analysis of the collected user behavior data.
Further, when associating the corresponding application scenes for the preconfigured interactive tasks, the client may extract the attribute information of each preconfigured user scene and each interactive task, and sequentially match the attribute information of each user scene with the attribute information of each interactive task to find the user scenes and the interactive tasks with the same attribute information, and then associate the user scenes and the interactive tasks with the same attribute information, and locally store the corresponding relationship between the user scenes and the interactive tasks with the same attribute information.
The specific information content included in the attribute information of the user scene and the interactive task is not particularly limited in the present application, and in practical application, the specific information content may include any type of information capable of expressing a common point or a correlation between the user scene and the interactive task;
for example, in the case where the interactive task is a game, the attribute information may be information capable of expressing a common point of a user scene and the game; for example, in a driving scene, the attribute information may be a driving route, and in this case, a driving game in which a preconfigured virtual driving route is completely the same as an actual driving route of the user may be associated with the driving scene; for another example, in a scene of movie theater consumption, the above attribute information may be protagonist character information of a movie consumed by the user, in which case, among preconfigured role-playing class games, the same role-playing game as the protagonist character of a movie ticket purchased by the user may be associated with the scene of movie theater consumption, and so on.
In this example, when the client determines the current user scene of the user by analyzing the collected user behavior data, the client may query whether an interaction task corresponding to the user scene is stored locally; if the interactive task corresponding to the user scene is inquired, an interactive request corresponding to the interactive task can be sent to the server; wherein, the interaction request can carry the identification information of the interaction task; such as an interactive task ID.
And interactive task data related to various interactive tasks can be pre-configured on the server side. After receiving an interaction request from a client, a server can read identification information of an interaction task carried in the interaction request, search interaction task data corresponding to the identification information in locally stored interaction task data based on the identification information, and then return the searched interaction task data to the client. After receiving the interactive task data returned by the server, the client can start the corresponding interactive task in an interactive interface provided for the user based on the received interactive task data.
Of course, if the client does not inquire the interactive task corresponding to the determined user scene, no processing may be performed at this time.
Therefore, by the method, the client can push different interactive tasks towards the user based on the difference of the user scene where the user is located, so that when the user is located in different user scenes, the user can interact with the current user scene through executing the interactive task initiated by the interactive client, the interactivity between the user and the user scene can be enhanced, and the interactive experience of the user is improved.
The following describes the technical solution of the present application in detail, taking a user scene in which a passenger of a vehicle interacts with an offline place where the vehicle approaches through a driving interaction client as an example.
In this example, the driving interaction client may pre-configure a plurality of interaction tasks and user scenes in the driving environment, and locally store the correspondence between the user scenes and the interaction tasks having the same attribute information based on the common point between each interaction task and each user scene.
In one embodiment, the offline place may include an end place, a parking place, an offline shop, and the like on the driving route of the user; the same attribute information may be the same driving route information.
The user scenes pre-configured by the driving interaction client can comprise a user scene interacting with a passenger through the driving interaction client and an off-line shop on a driving route, a user scene interacting with a parking place on the driving route and a user scene interacting with a destination place on the driving route. The interactive tasks pre-configured by the driving interactive client and respectively associated with the user scenes can comprise a parking place auxiliary selection task corresponding to a terminal place, a coupon getting task corresponding to an off-line shop and an idle parking place auxiliary selection task corresponding to a parking place. In each interactive task, a virtual driving route which is completely the same as the actual driving route of the vehicle taken by the passenger is provided.
In this example, the user behavior data may specifically be positioning location data of the user. When a passenger rides a vehicle, the driving interaction client can interact with navigation hardware (such as a GPS module carried by the vehicle) of the vehicle, collect positioning position data of the user in real time (such as longitude and latitude coordinate data of the vehicle collected by the GPS module carried by the vehicle), analyze the collected positioning position data, and find POI information corresponding to the positioning position data of the user by accessing a map database carried by the vehicle to determine a user scene where the user is currently located;
specifically, the driving interaction client may find out a map database in which a distance from a location position of the user is smaller than a preset threshold POI, and then determine a user scene where the user is currently located based on the found specific type of the POI;
if the searched POI is an off-line shop (such as a restaurant, a movie theater, a shopping center and the like) having a cooperative relationship with the operator of the driving interaction client, the current user scene where the user is located can be determined, and the user scene is the user scene where the passenger interacts with the off-line shop on the driving route through the driving interaction client; if the searched POI is a parking place having a cooperative relationship with the operator, the current user scene of the user can be determined, and the user scene is the user scene for the passenger to interact with the parking place on the driving route through the driving interaction client; if the searched POI is the destination place having a cooperative relationship with the operator, the current user scene where the user is located can be determined, and the user scene is the user scene where the passenger interacts with the destination place on the driving route through the driving interaction client.
In this example, after the driving interaction client determines the user scene where the user is currently located, the interaction task corresponding to the determined user scene may be queried, then the corresponding interaction request is sent to the server, and the interaction task is started in the driving interaction interface based on the interaction task data returned by the server.
In another embodiment shown, if it is determined that the user scene where the user is currently located is a user scene where a passenger interacts with an offline shop on a driving route through a driving interaction client, at this time, an interaction task corresponding to the user scene is a coupon getting task corresponding to the offline shop, and task data corresponding to the interaction task may include coupon information (such as a coupon) corresponding to the offline shop;
under the condition, after the driving interaction client receives the preferential information corresponding to the off-line shop and pushed by the background server, a preferential information getting task corresponding to the off-line shop can be initiated in the driving interaction interface based on the preferential information, and the preferential information getting task is started.
The preferential information getting task can be specifically an interactive task for delivering the preferential information related to the off-line shops close to the vehicle to the passenger in the driving interactive interface; for example, the driving interaction client may render a corresponding graphical identifier for the benefit information pushed by the background server, customize a corresponding delivery effect (the delivery effect may be customized based on a requirement), and deliver the graphical identifier to the driving interaction interface according to the customized delivery effect.
On one hand, the passenger can obtain the preferential information released by the driving interaction client by executing corresponding interaction operation in the driving interaction interface; for example, taking a mobile terminal carrying the driving interaction client as a touch screen terminal as an example, a passenger may obtain the benefit information by touching an image identifier corresponding to the benefit information released in the driving interaction interface.
On the other hand, the driving interaction client can store the preferential information which is obtained by the passenger through executing the corresponding interaction operation in the background.
In this way, passengers can interact with off-line shops close to the vehicle, and a more natural promotion means is added to the off-line shops, so that off-line consumption behaviors of users can be guided better.
It should be noted that, because the discount information of the off-line shop where the vehicle is close to is usually a limited resource, and different passengers may pass through the same off-line shop simultaneously when taking a vehicle, the background server may preferentially push the discount information of the off-line shop to only the driving interaction clients of the passengers meeting a certain distribution condition (the distribution condition may be customized based on a requirement) among the passengers based on a certain distribution policy when responding to the request message reported by the driving interaction clients of the different passengers; or the background server side can send the discount information of the offline shop to the multiple driving interaction clients simultaneously, and each passenger can 'rob' the discount information by executing interaction operation.
In addition, in order to enhance the interactive effect, after the driving interactive client initiates the preferential information getting task, the driving interactive client can release the preferential information corresponding to the off-line shop close to the vehicle to the driver through the driving interactive interface, and can release the corresponding exchange points in the driving interactive interface based on a preset release strategy.
The above-mentioned release strategy is not particularly limited in this application, and those skilled in the art can configure the release strategy based on actual requirements; for example, it may be a random shot.
The exchange points can be paid points; for example, when the exchange points received by the passenger reach a certain number, the passenger can perform consumption operation such as deduction of parking fee of the vehicle, and the like. By the method, the initiated preferential information getting task can be enriched in content, and the enthusiasm of passenger interaction can be mobilized.
In another embodiment shown, if the user scene where the user is currently located is determined, the user scene is a user scene where a passenger interacts with a destination place on a driving route through a driving interaction client, and at the moment, an interaction task corresponding to the user scene is a parking place auxiliary selection task corresponding to the destination place; the interactive task data corresponding to the interactive task may be position information of a parking place near the terminal place.
In this case, after the driving interaction client receives the position information of the parking place near the destination place, which is pushed by the background server, the parking place auxiliary selection task corresponding to the destination place can be initiated in the driving interaction interface based on the position information, and the parking place auxiliary selection task is started.
The parking lot auxiliary selection task can be specifically a selection task which prompts a passenger to assist a driver to complete a target parking place in a driving interaction interface.
For example, the driving interaction client may create a plurality of operable interaction options (such as interaction buttons) respectively corresponding to the parking places based on the position information of the parking places pushed by the background server, and then output the interaction options to the passenger in the driving interaction interface, so as to guide the passenger to complete the selection of the target parking place through the corresponding interaction operation, thereby assisting the driver in completing the selection of the target parking place.
On one hand, the passenger can assist the driver in completing the selection of the target parking place by executing corresponding interactive operation in the driving interactive interface, and selects an optimal parking place near the terminal of the current driving route.
On the other hand, the driving interaction client can store the target parking place selected by the passenger through executing the corresponding interaction operation in the background, synchronizes the position information of the target parking place to the navigation hardware through the wireless connection with the navigation hardware carried by the vehicle, and outputs the corresponding navigation prompt to the driver through the navigation hardware, so that the driver is guided to go to the target parking place for parking.
Through the mode, the passengers can execute corresponding interactive operation in the driving interactive interface in the driving process, the drivers are assisted to finish the selection of the parking places in advance, the waste of time cost caused by temporary search of the parking places after the drivers arrive at the destination places can be avoided, and the driving experience of the drivers can be optimized.
In another embodiment shown, if the user scene where the user is currently located is determined, the user scene is a user scene where the passenger interacts with a parking place on a driving route through a driving interaction client, and at this time, an interaction task corresponding to the user scene is an idle parking space auxiliary selection task corresponding to the parking place. The interactive task data corresponding to the interactive task may be free parking space information of the target parking place.
Under the condition, after the driving interaction client receives the free parking space information of the target parking place pushed by the background server, the driving interaction client can initiate a free parking space auxiliary selection task corresponding to the parking place in the driving interaction interface based on the free parking space information, and starts the free parking space auxiliary selection task.
The parking space auxiliary selection task can be a selection task which prompts a passenger to assist a driver to complete a target parking place in a driving interaction interface.
For example, the driving interaction client can create a plurality of operable interaction options corresponding to the free parking spaces respectively based on the free parking space information pushed by the background server, and then output the interaction options to the passengers in the driving interaction interface, so that the passengers are guided to complete the selection of the parking spaces through corresponding interaction operations, and the drivers are assisted to complete the selection of the parking spaces.
On one hand, the passengers can execute corresponding interactive operation in the driving interactive interface, when the vehicle is about to arrive at the target parking place, the passengers are assisted to finish the option of the free parking space, and an optimal parking space is selected from the currently remaining free parking spaces in the target parking place.
On the other hand, the driving interaction client can store the information of the free parking space selected by the passenger through executing the corresponding interaction operation in the background, synchronize the information of the free parking space to the navigation hardware through the wireless connection with the navigation hardware carried by the vehicle, and output the corresponding navigation prompt to the driver through the navigation hardware; for example, the position of the parking space in the target parking place is indicated in the on-board display screen, so that the driver is guided to go to the parking space for parking.
Through the mode, the passengers can further assist the driver to finish the selection of the parking spaces in advance by executing corresponding interactive operation in the driving interactive interface in the driving process, so that the waste of time cost caused by temporarily searching for the idle parking spaces after the driver arrives at the destination place can be avoided, and the driving experience of the driver can be further optimized.
Of course, if the driving interaction client determines that the target parking place selected by the passenger does not have a free parking space currently through query, the driving interaction client can reinitiate the parking place auxiliary selection task and mark the parking place without the free parking space, so as to guide the passenger to execute corresponding interaction operation and reselect the target parking place for the driver.
Therefore, in the process that a passenger takes a vehicle, the driving interaction client can initiate a preferential information getting task corresponding to a specific off-line shop in the driving interaction interface, interact with the passenger and issue preferential information to the passenger when the vehicle approaches the off-line shop; and moreover, when the vehicle approaches or arrives at a destination place, a parking place auxiliary selection task or a parking space auxiliary selection task is initiated in a driving interaction interface to interact with the passenger, and the passenger assists the driver to complete a target parking place and select an idle parking space, so that the driving experience of the passenger can be improved, and the driving experience of the driver can be optimized.
The following takes the above-mentioned interaction task as an example of a driving game, and the technical solution in the above embodiment is described in detail. In this example, the driving interaction client may be a driving interaction game client facing to the passenger; or, a client of the life service class with the driving interaction game function is carried; such as a pay-per-view (Alipay) client.
Referring to fig. 2, fig. 2 is a schematic diagram illustrating that different driving interaction tasks are pushed to a user based on a driving scene.
In an initial state, the user scenes preconfigured by the client may include a user scene in which a passenger interacts with an off-line shop on a driving route through a driving interaction client, a user scene in which the passenger interacts with a parking place on the driving route, a user scene in which the passenger interacts with an end-point place on the driving route, and the like; the interactive games associated with the three application scenes can be preset to comprise a parking place auxiliary selection game corresponding to a terminal place, a coupon getting-up game corresponding to an off-line shop and a free parking place auxiliary selection game corresponding to a parking place.
In each of the above interactive games, a virtual driving route identical to the actual driving route of the vehicle taken by the passenger is provided.
In the driving process of the vehicle, the client can acquire longitude and latitude coordinate data of the vehicle in real time through a GPS module carried by the vehicle, and then search POI information corresponding to the longitude and latitude coordinate data of the vehicle by accessing a map database carried by the vehicle to determine the current user scene of the user;
referring to fig. 2, if the POI information is found to be offline shop information, at this time, the client may query the background server for the discount information (such as a coupon) of the offline shop, and start the interactive game of the discount information pickup at the game interaction interface based on the discount information of the offline shop pushed by the background server, and the passenger may pay the offline shop discount information and the redemption points that can be used to deduct parking fees to the passenger in the game interaction interface.
Please continue to refer to fig. 2, if the POI information is found to be the destination location, at this time, the client may also query the background server for the parking lot near the destination location, and start the interactive game selected by the parking location assistance on the game interaction interface based on the position information of the parking lot near the destination location pushed by the background server, the passenger may assist in selecting the target parking lot for the driver in the game interaction interface, and synchronize the position information of the target parking lot selected by the passenger to the GPS module, and the GPS module outputs a corresponding navigation prompt to the driver through the vehicle-mounted display screen to guide the driver to go to the target parking lot for parking.
Please continue to refer to fig. 2, if the POI information is found to be a parking place, at this time, the client may also query the background server for the free parking space information of the parking lot, and start the interactive game for assisting in selecting the parking space in the game interactive interface based on the free parking space information of the parking lot pushed by the background server, the passenger may assist in selecting the parking space for the driver in the game interactive interface, and synchronize the relevant information of the parking space selected by the passenger to the GPS module, and the GPS module outputs a corresponding navigation prompt to the driver through the vehicle-mounted display screen to guide the driver to go to the correct parking space for parking.
Compared with the traditional driving interactive game, the driving interactive process shown in the embodiment of the application has the advantages that the passenger can use the same driving route to carry out the interactive game with the driver in the driving process; moreover, when the vehicle approaches to different types of offline places, the server can push different online interactive games to the game client. The passengers can interact with off-line shops on the real driving route of the vehicle by executing specific interactive operation to finish the collection of points and coupons of the off-line shops; the system can further interact with the vehicle and the driver to assist the driver in completing the selection of parking places, free parking spaces and the like; therefore, in the whole driving interaction process, the driving experience of passengers can be improved, and the driving experience of a driver can be further optimized.
It should be noted that, the above-mentioned user scenario is an example of a user scenario in which a passenger of a vehicle interacts with an offline place where the vehicle approaches, and is merely an example, and the solution of the present application may be equivalently implemented in other user scenarios.
Taking the user scenario as an offline consumption scenario of the user, in the consumption scenario, the user behavior data may include user transaction data generated after online consumption in an online consumption place of the user; in this case, data analysis may be performed on the user transaction data to determine transaction object information, and then a user scenario may be determined based on the transaction object information;
referring to fig. 3, fig. 3 is a schematic diagram illustrating pushing different consumption interaction tasks to a user based on a consumption scenario. In this example, the transaction object may specifically be a consumption place where the user is currently located, and the client may abstract the offline consumption demand of the user into different user scenarios, such as consumption in a movie theater and consumption in a dining place, based on different consumption places where the user is located.
Referring to fig. 3, if the client determines that the user scene where the user is currently located is a user scene consumed by a movie theater, a role-playing game identical to the protagonist role of the movie ticket purchased by the user can be pushed to the user through the interactive interface;
continuing to refer to fig. 3, if the client determines that the current user scene of the user is a user scene consumed in a dining place, pushing a coupon getting game corresponding to the dining place to the user through an interactive interface; therefore, when the user is in different offline consumption scenes, the client can push different interactive tasks to the user through the interactive interface.
It should be emphasized that the technical solution of the present application can be applied to the above-described scenario in which the passenger of the vehicle interacts with the vehicle through the interactive client in the offline place, and the offline consumption scenario of the user, and can also be applied to other user scenarios in practical applications; that is, the technical solution of the present application can be theoretically applied to various types of user scenarios, and different interaction tasks are pushed to the user based on the difference of the user scenarios where the user is located, which is not listed in the present application one by one, and when implementing the technical solution of the present application in other application scenarios, a person skilled in the art may refer to the specific implementation process described in the above embodiments.
Corresponding to the method embodiment, the application also provides an embodiment of the device.
Referring to fig. 4, the present application provides a pushing device 40 for interactive tasks, which is applied to an interactive client; referring to fig. 5, the hardware architecture of the interactive client as the push device 40 for carrying the interactive task generally includes a CPU, a memory, a non-volatile memory, a network interface, an internal bus, and the like; taking a software implementation as an example, the pushing device 40 for the interactive task can be generally understood as a computer program loaded in a memory, and a logic device formed by combining software and hardware after a CPU runs, where the device 40 includes:
the acquisition module 401 acquires user behavior data;
a determining module 402, configured to determine a user scenario according to the user behavior data;
a starting module 403, configured to start an interactive task corresponding to the user scene; wherein, different user scenes correspond to different interaction tasks respectively.
In this example, the user behavior data includes user location data;
the determination module 402:
and determining a user scene according to the user position information and POI information corresponding to the user position data.
In this example, the user behavior data includes user transaction information;
the determination module 402:
determining transaction object information according to the user transaction data;
and determining a user scene according to the transaction object information.
Determining transaction object information according to the transaction information;
and determining a user scene according to the transaction object information.
In this example, the start module 403:
inquiring an interactive task corresponding to the user scene;
sending an interaction request corresponding to the interaction task to a server;
receiving interactive task data which is returned by a server and is related to the interactive task;
and starting the interactive task according to the interactive task data.
In this example, the interactive task corresponding to the user scene has the same attribute information as the user scene.
In this example, the device 40 further comprises:
a saving module 404 (not shown in fig. 4), which saves the corresponding relationship between the user scene and the interactive task before the starting module 403 starts the interactive task corresponding to the user scene.
In this example, the save module 404 further:
respectively extracting attribute information of a user scene and an interactive task;
and correspondingly storing the user scenes with the same attribute information and the interactive tasks.
In this example, the interactive task includes a game.
The apparatuses, modules or units illustrated in the above embodiments may be specifically implemented by a computer chip or an entity, or implemented by an article with certain functions. A typical implementation device is a computer, which may take the form of a personal computer, laptop computer, cellular telephone, camera phone, smart phone, personal digital assistant, media player, navigation device, email messaging device, game console, tablet computer, wearable device, or a combination of any of these devices.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.
Claims (12)
1. A pushing method of an interactive task is applied to a client, and comprises the following steps:
collecting user behavior data;
determining a user scene according to the user behavior data; wherein the user scenario corresponds to a user requirement of the user;
starting an interactive task corresponding to the user scene; and the interaction task interacts with the user in a game form, so that the user can realize the user requirement in the game process.
2. The method of claim 1, the user behavior data comprising user location data;
the determining the user scene according to the user behavior data includes:
and determining a user scene according to the user position data and POI information corresponding to the user position data.
3. The method of claim 1, the user behavior data comprising user transaction data;
the determining the user scene according to the user behavior data includes:
determining transaction object information according to the user transaction data;
and determining a user scene according to the transaction object information.
4. The method of claim 1, the initiating an interactive task corresponding to the user scenario, comprising:
inquiring an interactive task corresponding to the user scene;
sending an interaction request corresponding to the interaction task to a server; receiving interactive task data which is returned by a server and is related to the interactive task;
and starting the interactive task according to the interactive task data.
5. The method of claim 1, wherein the interactive task corresponding to the user scenario has the same attribute information as the user scenario.
6. The method of claim 1, prior to initiating the interactive task corresponding to the user scenario, further comprising:
and storing the corresponding relation between the user scene and the interactive task.
7. The method of claim 6, wherein saving the correspondence between the user scenario and the interactive task comprises:
respectively extracting attribute information of a user scene and an interactive task;
and correspondingly storing the user scenes with the same attribute information and the interactive tasks.
8. The method of claim 1, the user demand comprising demand a user has during driving.
9. The method of claim 8, the user demand comprising a parking demand and/or a demand for an offer.
10. The pushing device for the interactive task is applied to a client, and comprises:
the acquisition module is used for acquiring user behavior data;
the determining module is used for determining a user scene according to the user behavior data; wherein the user scenario corresponds to a user requirement of the user;
the starting module is used for starting an interactive task corresponding to the user scene; and the interaction task interacts with the user in a game form, so that the user can realize the user requirement in the game process.
11. The apparatus of claim 10, the user demand comprising a demand that a user has during driving.
12. The apparatus of claim 11, the user demand comprising a parking demand and/or a demand for an offer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110577654.0A CN113282845A (en) | 2017-03-28 | 2017-03-28 | Interactive task pushing method and device |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710193587.6A CN107092662B (en) | 2017-03-28 | 2017-03-28 | Interactive task pushing method and device |
| CN202110577654.0A CN113282845A (en) | 2017-03-28 | 2017-03-28 | Interactive task pushing method and device |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710193587.6A Division CN107092662B (en) | 2017-03-28 | 2017-03-28 | Interactive task pushing method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113282845A true CN113282845A (en) | 2021-08-20 |
Family
ID=59648920
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110577654.0A Pending CN113282845A (en) | 2017-03-28 | 2017-03-28 | Interactive task pushing method and device |
| CN201710193587.6A Active CN107092662B (en) | 2017-03-28 | 2017-03-28 | Interactive task pushing method and device |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710193587.6A Active CN107092662B (en) | 2017-03-28 | 2017-03-28 | Interactive task pushing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (2) | CN113282845A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114528059A (en) * | 2022-01-25 | 2022-05-24 | 北京字节跳动网络技术有限公司 | Task implementation method and device, electronic equipment and storage medium |
Families Citing this family (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108647989A (en) * | 2018-03-30 | 2018-10-12 | 斑马网络技术有限公司 | Game interactive platform, vehicle game interactive system and method |
| CN110490567B (en) * | 2018-05-15 | 2022-08-16 | 腾讯科技（深圳）有限公司 | Information processing method, device, system and storage medium |
| CN109445597B (en) * | 2018-11-06 | 2022-07-05 | 北京七鑫易维信息技术有限公司 | Operation prompting method and device applied to terminal and terminal |
| CN109885624B (en) * | 2019-01-23 | 2021-09-10 | 金蝶软件（中国）有限公司 | Data processing method, data processing device, computer equipment and storage medium |
| CN110033304B (en) * | 2019-02-25 | 2021-03-02 | 创新先进技术有限公司 | Information processing method, device and equipment |
| CN111861528A (en) * | 2019-04-30 | 2020-10-30 | 拉扎斯网络科技（上海）有限公司 | Task configuration method and device, electronic equipment and computer readable storage medium |
| CN110210633A (en) * | 2019-05-31 | 2019-09-06 | 北京长城华冠汽车技术开发有限公司 | Idle discounting supplying system and method for pushing for the shop 4S |
| CN110609884A (en) * | 2019-09-30 | 2019-12-24 | 腾讯科技（深圳）有限公司 | Data control method and device of online game based on geographic position service |
| CN110992750A (en) * | 2019-10-24 | 2020-04-10 | 山东建享教育科技有限公司 | Method for applying handwriting board to teaching |
| CN111538899B (en) * | 2020-03-30 | 2021-12-24 | 口碑(上海)信息技术有限公司 | Resource information pushing method, equipment side and server side |
| CN112422998B (en) * | 2020-10-26 | 2023-03-31 | 网易（杭州）网络有限公司 | Live broadcast interaction method and device based on cloud game and electronic equipment |
| CN113176839A (en) * | 2021-04-19 | 2021-07-27 | 爱驰汽车有限公司 | Vehicle interaction method and device based on geographic position, computer equipment and medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020142759A1 (en) * | 2001-03-30 | 2002-10-03 | Newell Michael A. | Method for providing entertainment to a portable device |
| JP2004252809A (en) * | 2003-02-21 | 2004-09-09 | Hitachi Eng Co Ltd | Method and system for guiding parking position in large parking lot |
| JP2006271920A (en) * | 2005-03-25 | 2006-10-12 | Jiyunai Fujimoto | Game system allowing person to acquire coupon and purchase merchandize and using real map, record medium and program |
| US20070254741A1 (en) * | 2004-06-07 | 2007-11-01 | Nhn Corporation | System for Online Role-Playing Game Using Developing Buildings, and a Method Thereof |
| KR20150142080A (en) * | 2014-06-09 | 2015-12-22 | 주식회사 스포카 | Method for Providing Personalized Coupons in Offline Store |
| US20160189546A1 (en) * | 2013-05-22 | 2016-06-30 | Nec Corporation | Information processing device, information processing method, and storage medium |
| KR20160144618A (en) * | 2015-06-09 | 2016-12-19 | 주식회사 골드라임 | System providing event service of store through mobile games |
| US20160370963A1 (en) * | 2015-06-16 | 2016-12-22 | Robert Bosch Gmbh | Method for providing information regarding parking spots |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9555334B2 (en) * | 2006-12-13 | 2017-01-31 | Qualcomm Incorporated | System and method for managing virtual worlds mapped to real locations in a mobile-enabled massively multiplayer online role playing game (MMORPG) |
| CN105338054B (en) * | 2015-09-21 | 2019-04-16 | 百度在线网络技术（北京）有限公司 | A kind of method for pushing and device of voice messaging |
| CN106178506A (en) * | 2016-07-09 | 2016-12-07 | 杨跃龙 | A kind of parallel real border game interactive point corresponding with terrestrial reference arranges framework |
| CN106339912A (en) * | 2016-09-21 | 2017-01-18 | 深圳市百米生活股份有限公司 | Scene user requirement triggering mechanism |
-
2017
- 2017-03-28 CN CN202110577654.0A patent/CN113282845A/en active Pending
- 2017-03-28 CN CN201710193587.6A patent/CN107092662B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020142759A1 (en) * | 2001-03-30 | 2002-10-03 | Newell Michael A. | Method for providing entertainment to a portable device |
| JP2004252809A (en) * | 2003-02-21 | 2004-09-09 | Hitachi Eng Co Ltd | Method and system for guiding parking position in large parking lot |
| US20070254741A1 (en) * | 2004-06-07 | 2007-11-01 | Nhn Corporation | System for Online Role-Playing Game Using Developing Buildings, and a Method Thereof |
| JP2006271920A (en) * | 2005-03-25 | 2006-10-12 | Jiyunai Fujimoto | Game system allowing person to acquire coupon and purchase merchandize and using real map, record medium and program |
| US20160189546A1 (en) * | 2013-05-22 | 2016-06-30 | Nec Corporation | Information processing device, information processing method, and storage medium |
| KR20150142080A (en) * | 2014-06-09 | 2015-12-22 | 주식회사 스포카 | Method for Providing Personalized Coupons in Offline Store |
| KR20160144618A (en) * | 2015-06-09 | 2016-12-19 | 주식회사 골드라임 | System providing event service of store through mobile games |
| US20160370963A1 (en) * | 2015-06-16 | 2016-12-22 | Robert Bosch Gmbh | Method for providing information regarding parking spots |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114528059A (en) * | 2022-01-25 | 2022-05-24 | 北京字节跳动网络技术有限公司 | Task implementation method and device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107092662B (en) | 2021-04-06 |
| CN107092662A (en) | 2017-08-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107092662B (en) | Interactive task pushing method and device | |
| CN106920079B (en) | Virtual object distribution method and device based on augmented reality | |
| EP3528193B1 (en) | Method and device for in-vehicle payment | |
| JP2017041227A (en) | Shopping information providing system of augmented reality platform and control method therefor | |
| JP2002032664A (en) | Computer and computer system | |
| CN107046553B (en) | Vehicle service processing method and mobile terminal | |
| JP2008146500A (en) | Vehicle allocation system | |
| US11810182B2 (en) | Techniques for completing pre-arranged transactions | |
| CN105786807A (en) | Method, equipment and system for pushing exhibition information | |
| US11341536B2 (en) | Information processing device, information processing method, and non-transitory storage medium | |
| CN111105251A (en) | Information pushing method and device | |
| WO2015024465A1 (en) | Argument reality content screening method, apparatus, and system | |
| US10549769B2 (en) | Cart return tracking system | |
| CN110689363A (en) | Coupon prompting method and device | |
| CN115481824A (en) | Charging management method, device, equipment and storage medium | |
| KR20140089088A (en) | System for providing information tourism of smart combine and method therefor | |
| CN113297507A (en) | Information recommendation method and device and electronic equipment | |
| CN109752001A (en) | Navigation system, method and apparatus | |
| CN111131467A (en) | Method, system and medium for recommending life style based on picture and vehicle-mounted terminal | |
| CN108960810B (en) | Card writing method and device, computer equipment and storage medium | |
| CN101753628A (en) | Method for reception and transmission of positioning service active information and portable electronic device thereof | |
| CN103810593A (en) | Method and apparatus for digital coupon presentation | |
| CN110414974B (en) | Virtual payment card generation control method and background service platform | |
| CN109993331A (en) | A kind of exchange method, device and terminal | |
| KR20110106039A (en) | Method and apparatus for providing trend information |
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 |