CN108446786B - Information processing method and device and electronic equipment - Google Patents
Information processing method and device and electronic equipment Download PDFInfo
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- CN108446786B CN108446786B CN201810103393.7A CN201810103393A CN108446786B CN 108446786 B CN108446786 B CN 108446786B CN 201810103393 A CN201810103393 A CN 201810103393A CN 108446786 B CN108446786 B CN 108446786B
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Abstract
The application provides an information processing method and device and an electronic device. The method comprises the following steps: obtaining travel information of a target user as a participant of a set plan; determining personal estimated aggregation time of the target user based on the trip information and target position information contained in the aggregation plan; determining the current group estimated aggregation time of the aggregation plan based on the personal estimated aggregation time of the target user; wherein the group estimation aggregation time is as follows: a projected rendezvous time for a user population that includes the target user and the remaining participants for which the rendezvous plan is currently intended. Therefore, the group journey can be quickly and effectively estimated in a multi-person set scene through the scheme, and the participation experience of participants is improved.
Description
Technical Field
The present disclosure relates to the field of information processing, and in particular, to an information processing method and apparatus, and an electronic device.
Background
In scenes such as aggregation in group building, dinner gathering, meeting participation, and traveling, a plurality of participants usually start from different places and aggregate at specified destination positions, and then after aggregation, the participants jointly perform corresponding activities.
During the aggregation process, participants are different in their departure locations and therefore often arrive at the destination location at different times, especially in ad hoc aggregations where long-distance participants are most likely to arrive late and short-distance participants are most likely to arrive early due to time urgency. For the situation that the arrival time of the participants at the destination location is uneven, the subsequent services and experiences of the participants are affected clearly because the participants have insufficient knowledge about the group journey (such as the final set time), for example, it may not be known when to start ordering, when to start a meeting, and when to start an activity.
Therefore, the group journey can be quickly and effectively estimated in a multi-person gathering scene, so that the participation experience of participants is improved, and the method is a problem to be solved urgently.
Disclosure of Invention
In view of this, the present application provides an information processing method, an information processing apparatus, and an electronic device, so as to quickly and effectively estimate group trips in a multi-user collective scene, thereby improving participation experience of participants.
Specifically, the method is realized through the following technical scheme:
in a first aspect, an embodiment of the present application provides an information processing method, including:
obtaining travel information of a target user as a participant of a set plan;
determining personal estimated aggregation time of the target user based on the trip information and target position information contained in the aggregation plan;
determining the current group estimated aggregation time of the aggregation plan based on the personal estimated aggregation time of the target user; wherein the group estimation aggregation time is as follows: a projected rendezvous time for a user population that includes the target user and the remaining participants for which the rendezvous plan is currently intended.
Optionally, after the step of determining the current group forecast aggregation time of the aggregation plan based on the personal forecast aggregation time of the target user, the method further includes:
and when the travel information updating condition is met, triggering the step of obtaining the travel information of the target user as the participant of the set plan.
Optionally, the group prediction set time is: the time is equal to or later than the latest time in the plurality of personal estimated set times corresponding to the user groups.
Optionally, the collective plan further includes a plan collective time;
when the plurality of personal estimated aggregation time corresponding to the user group is earlier than the plan aggregation time, the group estimated aggregation time is as follows: the plan aggregate time.
Optionally, the collective plan further includes a plan collective time;
the method further comprises the following steps:
and determining the optimal departure time of the target user based on the relation between the personal estimated set time of the target user and the planned set time.
Optionally, the step of determining an optimal departure time of the target user based on a relationship between the personal estimated aggregation time of the target user and the planned aggregation time includes:
calculating the time length difference between the personal estimated set time of the target user and the planned set time by using a preset formula; wherein the predetermined formula is: the planned aggregate time-the personal projected aggregate time of the target user-a first time threshold;
when the time length difference is not less than 0, determining the optimal departure time of the target user as: a time that is later than the current time by the duration difference;
and when the time length difference is less than 0, determining the optimal departure time of the target user as the current time.
Optionally, the information processing method provided in the embodiment of the present application further includes:
and recommending travel service to the target user according to the duration difference and the current position information of the target user.
Optionally, the step of recommending a travel service to the target user according to the duration difference and the current location information of the target user includes:
when the duration difference is smaller than a second duration threshold value, recommending car sharing service with a target participant to the target user; wherein the target participant is: and the participants located in a preset address range in the current other participants are located, wherein the preset address range is a range which takes the current position information of the target user as the center and takes a preset distance as a radius.
Optionally, the information processing method provided in the embodiment of the present application further includes:
if the time of the target user reaching the target position information is earlier than the current group estimated aggregation time of the aggregation plan, obtaining service reference information corresponding to the target user;
and recommending service information to the target user based on the service reference information corresponding to the target user.
Optionally, the service reference information includes:
one or more of a user representation, an early arrival time, a current scene, a planned event, and historical behavior.
In a second aspect, an embodiment of the present application further provides an information processing apparatus, including:
a travel information obtaining unit for obtaining travel information of a target user who is a participant of the ensemble plan;
a personal estimated aggregation time determining unit, configured to determine a personal estimated aggregation time of the target user based on the trip information and target position information included in the aggregation plan;
the group estimation set time determining unit is used for determining the current group estimation set time of the set plan based on the personal estimation set time of the target user; wherein the group estimation aggregation time is as follows: a projected rendezvous time for a user population that includes the target user and the remaining participants for which the rendezvous plan is currently intended.
In a third aspect, an embodiment of the present application further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the information processing method provided in the first aspect when executing the program.
In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, where the storage medium stores a computer program, and the computer program is configured to execute the information processing method provided in the first aspect.
In the information processing method provided by the embodiment of the application, after the travel information of a target user serving as a participant of a collective plan is obtained, the personal estimated collective time of the target user is determined based on the travel information of the target user and the target position information contained in the collective plan; further, determining the current group estimated aggregation time of the aggregation plan based on the personal estimated aggregation time of the target user; wherein the group estimation aggregation time is as follows: a projected rendezvous time for a user population that includes the target user and the remaining participants for which the rendezvous plan is currently intended. Therefore, the group journey can be quickly and effectively estimated in a multi-person set scene through the scheme, and the participation experience of participants is improved.
Drawings
Fig. 1 is a flowchart of an information processing method according to an embodiment of the present application;
fig. 2 is another flowchart of an information processing method according to an embodiment of the present application;
fig. 3 is another flowchart of an information processing method according to an embodiment of the present application;
FIGS. 4(a) and (b) are schematic interface diagrams of a terminal device of an originator of an aggregation plan in an embodiment of the present application;
FIGS. 4(c) and (d) are schematic interface diagrams of terminal devices of invitees of a collective plan in an embodiment of the present application;
fig. 5 is a schematic structural diagram of an information processing apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
In order to quickly and effectively estimate group journey in a multi-person gathering scene and improve participation experience of participants, the embodiment of the application provides an information processing method and device and electronic equipment.
First, an information processing method provided in an embodiment of the present application is described below.
It should be noted that an execution subject of an information processing method provided in the embodiments of the present application may be an information processing apparatus. In a specific application, the information processing apparatus may operate in a terminal device, and at this time, after a user holding the terminal device determines to join in a collection plan, the information processing apparatus built in the terminal device may execute the method provided in the embodiment of the present application; of course, the information processing apparatus may also operate in a server, and in this case, the server may cooperate with the terminal devices of the participants of the aggregation plan to execute the method provided in the embodiment of the present application.
In addition, the application scenario targeted by the information processing method provided in the embodiment of the present application is a scenario of a multi-user aggregation, where an aggregation plan is initiated by an initiator and invites other users to participate, and for convenience of description, the initiator and users who agree to invite are subsequently referred to as aggregation plan participants. Wherein, the aggregate plan may include destination location information; of course, the aggregation plan may include information such as plan aggregation time, on the premise that the destination position information is included.
As shown in fig. 1, an information processing method provided in an embodiment of the present application may include the following steps:
s101, obtaining travel information of a target user as a set plan participant;
in order to quickly and efficiently predict group trips in a multi-person collection scenario, personal predicted collection times of various collection plan participants may be first determined, and then group predicted collection times may be calculated based on the plurality of personal predicted collection times. Based on this processing idea, after the aggregation plan is generated, the information processing apparatus may obtain travel information of a target user who is a participant of the aggregation plan, and then subsequently determine a personal estimated aggregation time of the target user based on the travel information. Wherein, the trip information may include: the starting position information and the vehicle information, of course, the travel information may also include: traffic jam information and the like affect road state information for travel.
It is emphasized that any of the rendezvous plan participants can be the target users, i.e., the target users can be the originator of the rendezvous plan or the invitees to the plan rendezvous. Specifically, for each participant, the method provided herein is performed to calculate the personal estimated aggregation time of the participant and determine the group estimated aggregation time based on the personal estimated aggregation time of the participant.
For the case where the target user is the initiator of the aggregation plan: if the information processing apparatus operates in a terminal device, the information processing apparatus may provide an interactive interface generated by a rendezvous plan, so that a target user may generate the rendezvous plan based on the interactive interface, and further, after the rendezvous plan is generated, S101-S103 may be executed first, and then an invitation is issued to friends in an address book based on an invitation instruction given by the target user to invite to join the rendezvous plan. If the information processing device runs on the server, a client program which runs in the terminal equipment of the target user and corresponds to the information processing device can provide an interactive interface generated by the collection plan, so that the target user can generate the collection plan based on the interactive interface and send an invitation to friends in the address book; further, after the collection plan is generated, the information processing apparatus may execute S101 to S103, and then issue an invitation to a friend in the address book based on an invitation instruction given by the target user to invite to join the collection plan. Wherein, the manner of inviting friends can be: and sending a set plan invitation page to the friend, wherein the set plan, the current participants, the corresponding personal estimated set time, the group estimated time and other information can be displayed in the set invitation page.
For the case where the target user is an invitee to the aggregated plan: if the information processing apparatus is operated in a terminal device, the information processing apparatus may output prompt information on whether to receive the invitation to the target user, and perform S101-S103 after the target user accepts the invitation. If the information processing apparatus runs on the server, the client program in the terminal device of the target user may output prompt information on whether to receive the invitation to the target user, and after the target user accepts the invitation, the information processing apparatus may execute S101-S103 in cooperation with the client program. The prompt information may be, but is not limited to, a collection invitation page of an initiator of the collection plan.
S102, determining personal estimated aggregation time of the target user based on the trip information and target position information contained in the aggregation plan;
after the travel information of the target user is obtained, the personal estimated aggregation time of the target user may be determined based on the travel information and the destination location information included in the aggregation plan. It is understood that determining the personal estimated rendezvous time of the target user based on the travel information and the destination location information included in the rendezvous plan can be achieved by invoking a map program.
S103, determining the current group estimated aggregation time of the aggregation plan based on the personal estimated aggregation time of the target user.
After obtaining the personal estimated aggregation time of the target user, the information processing apparatus may determine a current group estimated aggregation time of the aggregation plan based on the personal estimated aggregation time of the target user, where the group estimated aggregation time is: a projected rendezvous time for a user population that includes the target user and the remaining participants for which the rendezvous plan is currently intended. It is to be appreciated that, after determining the group forecast aggregation time for the aggregation plan, the information processing apparatus may output the group forecast aggregation time to each participant currently in the aggregation plan.
It can be understood that, when the information processing apparatus operates in the terminal device, the information processing apparatus may report the personal estimated aggregation time of the target user to the server, so that the server may determine the group estimated aggregation time based on the personal estimated aggregation time of the target user, and send the determined personal estimated aggregation time to the information processing apparatus. When the information processing device runs on the server, the information processing device can directly determine the current group estimated aggregation time of the aggregation plan based on the personal estimated aggregation time of the target user because the personal estimated aggregation time of each participant is determined by the information processing device.
Optionally, in a specific implementation manner, in order to ensure that each participant completes the aggregation as early as possible, the group prediction aggregation time may be: equal to the latest time in the plurality of personal estimated set times corresponding to the user group. Wherein, the plurality of personal estimation set time corresponding to the user group is as follows: the individual estimated aggregate time for all participants included in the user population. For example: the personal estimated aggregation time of participant 1 is 11:10, the personal estimated aggregation time of participant 2 is 11:00, the personal estimated aggregation time of participant 3 is 11:30, and the personal estimated aggregation time of participant 4 is 11:35, at this time, the group estimated aggregation time may be: 11:35 to ensure that each participant completes the collection as early as possible.
Optionally, in another specific implementation manner, in order to ensure that each participant can be timely and time-rich to improve the user experience, the group forecast aggregation time may be: the time length later than the latest time in the plurality of personal estimated set times corresponding to the user group can be set according to the actual situation. For example: the personal estimated aggregation time of participant 1 is 11:10, the personal estimated aggregation time of participant 2 is 11:00, the personal estimated aggregation time of participant 3 is 11:30, and the personal estimated aggregation time of participant 4 is 11:35, at this time, the group estimated aggregation time may be: 11:50 to ensure that each participant can arrive in time and has plenty of time.
It should be noted that, for the case that the aggregation plan further includes a plan aggregation time, when the plurality of personal estimation aggregation times corresponding to the user group are all earlier than the plan aggregation time, the group estimation aggregation time is: the plan aggregate time;
when the personal estimated set time later than the plan set time exists in the plurality of personal estimated set times corresponding to the user group, the group estimated set time is as follows: equal to or later than the latest time in the plurality of personal estimated set times corresponding to the user group.
In addition, it is emphasized that, when the target user agrees to join the aggregation plan, the information processing apparatus may perform S101 for the first time, that is, obtain travel information of the target user who is a participant of the aggregation plan, and then perform the subsequent processes. In order to know the personal itineraries of the participants in real time and further adjust the group itineraries in real time based on the personal itineraries, after determining the current group estimated aggregation time of the aggregation plan based on the personal estimated aggregation time of the target user, the method provided by the embodiment of the present application may further include: and when the travel information updating condition is met, triggering the step of obtaining the travel information of the target user as the participant of the set plan.
For the information processing apparatus to operate in a terminal device:
in a specific implementation manner, the travel information updating condition may be: a wifi network is detected. For detecting a wifi network as a travel information updating condition, if the target user is in a wifi environment, the information processing apparatus may continuously detect the wifi network, and since the step of obtaining travel information of the target user as an aggregation plan participant is triggered when the wifi network is detected, the information processing apparatus may obtain travel information of the target user as an aggregation plan participant in real time, thereby updating the group estimated aggregation time in real time.
In another specific implementation manner, the travel information updating condition may be: and the terminal equipment executes unlocking operation. For the terminal device performing the unlocking operation as the trip information updating condition, once the terminal device performs the unlocking operation, the step of obtaining the trip information of the target user as the aggregation plan participant may be triggered, and thus the trip information of the target user as the aggregation plan participant is obtained at regular time.
In another specific implementation manner, the travel information updating condition may be: the terminal equipment is in an unlocking state and is away from the last trip information obtaining time for a preset time. For example: the step of obtaining travel information of the target user who is a participant of the ensemble plan is performed every 5 minutes while the terminal device is in the unlocked state.
For the information processing apparatus to operate in the server, the travel information update condition may be: receiving travel information reported by the terminal equipment of the target user in a timing or real-time manner; alternatively, the travel information updating condition may be: a predetermined acquisition time is reached.
It should be emphasized that the above-mentioned travel information updating conditions are only examples, and should not be construed as limiting the embodiments of the present application.
In the information processing method provided by the embodiment of the application, after the travel information of a target user serving as a participant of a collective plan is obtained, the personal estimated collective time of the target user is determined based on the travel information of the target user and the target position information contained in the collective plan; further, determining the current group estimated aggregation time of the aggregation plan based on the personal estimated aggregation time of the target user; wherein the group estimation aggregation time is as follows: a projected rendezvous time for a user population that includes the target user and the remaining participants for which the rendezvous plan is currently intended. Therefore, the group journey can be quickly and effectively estimated in a multi-person set scene through the scheme, and the participation experience of participants is improved.
For the situation that the aggregation plan comprises the target position information and the plan aggregation time, the optimal departure time of the participants can be determined while the group journey is rapidly and effectively estimated, so that more humanized travel instructions are provided, and the user participation experience is further improved. Based on this processing idea, as shown in fig. 2, an information processing method provided in an embodiment of the present application may include the following steps:
s201, obtaining travel information of a target user as a set plan participant;
s202, determining personal estimated aggregation time of the target user based on the trip information and target position information contained in the aggregation plan;
s203, determining the current group estimated aggregation time of the aggregation plan based on the personal estimated aggregation time of the target user;
wherein the group estimation aggregation time is as follows: a projected rendezvous time for a user population that includes the target user and the remaining participants for which the rendezvous plan is currently intended.
In this embodiment, S201 to S203 are the same as S101 to S103 in the above embodiment, and are not described herein again.
S204, determining the optimal departure time of the target user based on the relation between the personal estimated set time of the target user and the planned set time.
After the personal estimated set time of the target user is determined, the optimal departure time of the target user can be determined based on the relationship between the personal estimated set time of the target user and the planned set time. It is emphasized that, in a specific application, there is no strict order of execution for the step of determining the optimal departure time of the target user and the step of determining the current group forecast aggregation time of the aggregation plan, such as: it is reasonable that the step of determining the optimal departure time of the target user and the step of determining the current group forecast aggregation time of the aggregation plan are executed simultaneously, or the step of determining the optimal departure time of the target user is executed before the step of determining the current group forecast aggregation time of the aggregation plan, or the step of determining the current group forecast aggregation time of the aggregation plan is executed before the step of determining the optimal departure time of the target user.
Optionally, the step of determining the optimal departure time of the target user based on the relationship between the personal estimated aggregation time of the target user and the planned aggregation time may include:
calculating the time length difference between the personal estimated set time of the target user and the planned set time by using a preset formula; wherein the predetermined formula is: the planned aggregate time-the personal estimated aggregate time of the target user-a first time threshold;
when the time length difference is not less than 0, determining the optimal departure time of the target user as: a time that is later than the current time by the duration difference;
and when the time length difference is less than 0, determining the optimal departure time of the target user as the current time.
The first time threshold is a time reserved to avoid the user from arriving late, and the specific value may be set according to actual conditions. For example: assuming that the current time is 10:20, the planned aggregation time is 11:30, the personal estimated aggregation time of the target user is 10:50, and the first time threshold is 30 minutes; at this time, the time length difference between the planned set time and the personal estimated set time of the target user is 10, and the optimal departure time of the target user can be determined to be 10:30 because the time length difference is not less than 0;
assuming that the current time is 10:20, the planned aggregation time is 11:30, the personal estimated aggregation time of the target user is 11:10, and the first time threshold is 30 minutes; at the moment, the time length difference between the planned set time and the personal estimated set time of the target user is-10, and the optimal departure time of the target user can be determined to be 10:20 at the current time because the time length difference is less than 0, namely the target user immediately departs;
assuming that the current time is 10:20, the planned aggregation time is 11:30, the personal estimated aggregation time of the target user is 11:40, and the first time threshold is 30 minutes; at this time, the time length difference between the planned aggregation time and the personal estimated aggregation time of the target user is-40, and the time length difference is less than 0, so that the optimal departure time of the target user can be determined as the current time 10:20, namely, the target user can depart immediately, and the target user is prompted to have a delay risk.
It should be emphasized that the above-mentioned specific implementation manner for determining the optimal departure time of the target user based on the relationship between the personal estimated aggregation time of the target user and the planned aggregation time is merely an example, and should not constitute a limitation of the embodiment of the present application, for example, in a specific application, a difference between the planned aggregation time and the personal estimated aggregation time of the target user may be calculated, whether the difference is greater than 0 is determined, if greater than 0, the optimal departure time of the target user may be a time that is later than the current time by the difference, if not greater than 0, the optimal departure time of the target user may be the current time, i.e., the current departure, and the like, which is reasonable.
In addition, in order to further improve the user experience, after calculating the time difference between the personal estimated set time of the target user and the planned set time, the method provided in the embodiment of the present application may further include:
and recommending travel service to the target user according to the duration difference and the current position information of the target user.
The travel service may include, but is not limited to, taxi service or car pool service.
Optionally, in a specific implementation manner, when the duration difference is smaller than a second duration threshold, the information processing apparatus may recommend the taxi taking service to the target user based on the current location information of the target user. And, the information processing apparatus may provide a jump link of the taxi taking service to the target user, and the target user may take a taxi through the jump link.
Optionally, in another implementation manner, to save cost, when the time length difference is smaller than a second time length threshold, the information processing apparatus may recommend the car sharing service with the target participant to the target user; wherein the target participant is: and the participants in the preset address range in the current other participants are positioned, wherein the preset address range is a range taking the current position information of the target user as the center and the preset distance as the radius.
And, the information processing apparatus may provide a jump link of the car pooling service to the target user, and the target user may perform car pooling through the jump link. The specific value of the predetermined distance may be set according to actual conditions, for example: the predetermined range may be 500 meters, 600 meters, 700 meters, 800 meters, and so on. In a specific application, the second duration threshold may be 0, but is not limited to this, for example: it is also reasonable that the second duration threshold may be a value less than 0.
In addition, it can be understood that, when the information processing apparatus is operated in the terminal device, the information processing apparatus may request the server to obtain the current location information of the other participants, and further compare the distances between the current location information of the target user and the current location information of the other participants, thereby determining whether the other participants of the aggregation plan exist in the predetermined address range of the target user.
It should be emphasized that the specific implementation manner of recommending a travel service to the target user according to the time length difference and the current location information of the target user is given as an example only, and should not constitute a limitation to the embodiment of the present application, for example: when the time difference is not less than the second time threshold, recommending an optimal travel route to the target user based on the current position information of the target user; or, when the duration difference is smaller than a second duration threshold, the information processing apparatus may recommend a car pooling service with the first type of user to the target user; wherein, the first type of users are: and a user having destination address information corresponding to the target user and located in a predetermined address range, the predetermined address range being a range centered on the current location information of the target user and having a predetermined distance as a radius, and so on.
Therefore, the group journey can be quickly and effectively estimated in a multi-user set scene through the scheme, and the optimal departure time can be determined for the participants so as to provide more humanized travel indication and further improve the user participation experience.
The method can recommend service information to early participants while rapidly and effectively predicting the group journey so as to provide more humanized travel indication, thereby further improving the user participation experience. Based on this processing idea, as shown in fig. 3, an information processing method provided in an embodiment of the present application may include the following steps:
s301, obtaining travel information of a target user as a set plan participant;
s302, determining personal estimated aggregation time of the target user based on the trip information and the target position information contained in the aggregation plan;
s303, determining the current group estimated aggregation time of the aggregation plan based on the personal estimated aggregation time of the target user;
wherein the group estimation aggregation time is as follows: a projected rendezvous time for a user population that includes the target user and the remaining participants for which the rendezvous plan is currently intended.
In this embodiment, S301 to S303 are the same as S101 to S103 in the above embodiment, and are not described herein again.
S304, if the time of the target user reaching the target position information is earlier than the current group estimated aggregation time of the aggregation plan, obtaining service reference information corresponding to the target user;
s305, recommending service information to the target user based on the service reference information corresponding to the target user.
If the information processing device detects that the target user arrives early, namely the time for the target user to reach the target position information is detected to be earlier than the current group estimated aggregation time of the aggregation plan, in order to further improve the user participation experience, the service reference information corresponding to the target user can be obtained, and the service information is recommended to the target user based on the service reference information corresponding to the target user, so that the waste of personal time caused by the target user when waiting for aggregation is avoided. The type of the service information may include, but is not limited to, a place, an item, preference information, a person, etc.; wherein, the places can comprise scenic spots, shopping malls, shops, block public facilities and the like; the items can include group purchase, flash order, appointment, trial, consultation and the like; the offers may include discounts, coupons, etc., and the persons may include technicians, physicians, etc.
And, the service reference information may include: one or more of a user representation, an early arrival time, a current scene, a planned event, and historical behavior.
For the user representation, the user representation may include information such as the user's gender, age, region, ability to consume, interest, preference, and preference sensitivity. The service information recommended based on the user portrait is personalized and meets the personal requirements of the target user.
For the early-arriving duration, the recommended service information based on the early-arriving duration may be completed within the early-arriving duration, for example: take-out may be recommended when the time is older than 30 minutes, and nearby restaurants may be recommended when the time is older than 30 minutes.
For the current scene, the current scene may include: current weather, current time period, current location, etc. And the recommended service information based on the current scene meets the scene requirements of the target user.
For a scheduled event, the information processing apparatus may read a favorite list, a memo, a reminder, and the like to obtain the scheduled event.
For historical behavior, the historical behavior may include: whether members of nearby merchants, shopping behavior, etc. For example: when the target user is determined to be a member of the attachment merchant A, a forward to merchant A may be recommended to the target user.
For convenience of understanding, for the service reference information corresponding to the target user, recommending service information to the target user, the following example is performed:
when the target user is as early as 30 minutes or more, judging whether the target user is in a eating period (such as 09:00-10:00,12:00-2:00 and 17:00-20:00) according to the current time, if not, recommending nearby non-food merchants belonging to members to the target user so that the target user can visit and buy nearby in a waiting period, and if so, recommending the nearby food merchants to the target user and recommending the dining hall to eat.
And when the target user is within 30 minutes, judging whether the target user is a meal time period according to the current time, if not, recommending a nearby drink bar to the target user so that the target user can drink the drink in the drink bar for drinking in a waiting time period, if so, recommending a nearby merchant providing take-out service to the target user, and automatically taking the target position as a take-out delivery address.
Therefore, the group journey can be quickly and effectively estimated in a multi-user set scene through the scheme, service information can be provided for early participants, more humanized travel instructions can be provided, and user participation experience is further improved.
To facilitate understanding of the solution provided by the embodiment of the present application, fig. 4(a) and 4(b) show schematic interface diagrams of a terminal device of an initiator of an aggregation plan, and fig. 4(c) and 4(d) show schematic interface diagrams of terminal devices of invitees of the aggregation plan. The basic flow of the initiator initiating the aggregation plan is as follows: input destination, input plan rendezvous time, invite participants, obtain personal forecast rendezvous time and group forecast rendezvous time for all participants. The basic flow of the invitee adding the collection plan is as follows: determining to join a set plan, acquiring initial position information, selecting a vehicle, confirming travel information, and acquiring personal estimated set time and group estimated set time of all participants.
It should be emphasized that the interface diagrams provided in fig. 4(a), fig. 4(b), fig. 4(c) and fig. 4(d) are merely examples and should not be construed as limiting the embodiments of the present application.
Corresponding to the above method embodiment, an embodiment of the present application further provides an information processing apparatus, as shown in fig. 5, the information processing apparatus may include:
a travel information obtaining unit 510 for obtaining travel information of a target user who is a participant of the ensemble plan;
a personal estimated aggregation time determining unit 520, configured to determine a personal estimated aggregation time of the target user based on the trip information and the destination location information included in the aggregation plan;
a group pre-estimated aggregation time determining unit 530, configured to determine, based on the personal pre-estimated aggregation time of the target user, a current group pre-estimated aggregation time of the aggregation plan; wherein the group estimation aggregation time is as follows: a projected rendezvous time for a user population that includes the target user and the remaining participants for which the rendezvous plan is currently intended.
The information processing apparatus provided in the embodiment of the present application, after obtaining travel information of a target user who is a participant of a rendezvous plan, determines a personal estimated rendezvous time of the target user based on the travel information of the target user and target location information included in the rendezvous plan; further, determining the current group estimated aggregation time of the aggregation plan based on the personal estimated aggregation time of the target user; wherein the group estimation aggregation time is as follows: a projected rendezvous time for a user population that includes the target user and the remaining participants for which the rendezvous plan is currently intended. Therefore, the group journey can be quickly and effectively estimated in a multi-person set scene through the scheme, and the participation experience of participants is improved.
Optionally, the information processing apparatus provided in the embodiment of the present application may further include:
an updating condition detecting unit, configured to trigger the step of obtaining the travel information of the target user as a participant of the aggregation plan when a travel information updating condition is satisfied after the group pre-estimated aggregation time determining unit 530 determines the current group pre-estimated aggregation time of the aggregation plan based on the personal pre-estimated aggregation time of the target user.
Optionally, the group prediction set time is: the time is equal to or later than the latest time in the plurality of personal estimated set times corresponding to the user groups.
Optionally, the collective plan further includes a plan collective time;
when the plurality of personal estimated aggregation time corresponding to the user group is earlier than the plan aggregation time, the group estimated aggregation time is as follows: the plan aggregate time.
Optionally, the collective plan further includes a plan collective time;
the information processing apparatus may further include:
and the optimal departure time determining unit is used for determining the optimal departure time of the target user based on the relation between the personal estimated set time of the target user and the planned set time.
Alternatively, the optimal departure time determination unit may include:
the time length difference calculating subunit is used for calculating the time length difference between the personal estimated set time of the target user and the planned set time by using a preset formula; wherein the predetermined formula is: the planned aggregate time-the personal projected aggregate time of the target user-a first time threshold;
a first processing subunit, configured to determine, when the time difference is not less than 0, an optimal departure time of the target user as: a time that is later than the current time by the duration difference;
and the second processing subunit is used for determining the optimal departure time of the target user as the current time when the time difference is less than 0.
Optionally, the information processing apparatus provided in the embodiment of the present application may further include:
and the travel service recommending unit is used for recommending travel service to the target user according to the time length difference and the current position information of the target user.
Optionally, the travel service recommending unit is specifically configured to:
when the duration difference is smaller than a second duration threshold value, recommending car sharing service with a target participant to the target user; wherein the target participant is: and the participants located in a preset address range in the current other participants are located, wherein the preset address range is a range which takes the current position information of the target user as the center and takes a preset distance as a radius.
Optionally, the information processing apparatus provided in the embodiment of the present application may further include:
the service information recommending unit is used for acquiring service reference information corresponding to the target user if the time of the target user reaching the target position information is earlier than the current group estimated aggregation time of the aggregation plan; and recommending service information to the target user based on the service reference information corresponding to the target user.
Optionally, the service reference information includes:
one or more of a user representation, an early arrival time, a current scene, a planned event, and historical behavior.
Corresponding to the information processing method, the embodiment of the application also provides the electronic equipment. Referring to fig. 6, at the hardware level, the electronic device includes a processor 610, an internal bus 620, a network interface 630, a memory 640, and a non-volatile memory 650, but may also include hardware required for other services. The processor 610 reads a corresponding computer program from the nonvolatile memory 650 into the memory 640 and then operates to execute the information processing method provided herein, forming an information processing apparatus on a logical level. Of course, besides the software implementation, the present application does not exclude other implementations, such as logic devices or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or logic devices.
In correspondence with the information processing method described above, an embodiment of the present application also provides a computer-readable storage medium storing a computer program for executing the information processing method described above.
The implementation process of the functions and actions of each unit in the above device is specifically described in the implementation process of the corresponding step in the above method, and is not described herein again.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application. One of ordinary skill in the art can understand and implement it without inventive effort.
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 (11)
1. An information processing method characterized by comprising:
obtaining travel information of a target user as a participant of a set plan;
determining personal estimated aggregation time of the target user based on the trip information and target position information contained in the aggregation plan;
determining the current group estimated aggregation time of the aggregation plan based on the personal estimated aggregation time of the target user; wherein the group estimation aggregation time is as follows: a projected rendezvous time for a user population including the target user and the remaining participants of the rendezvous plan current;
calculating the time length difference between the personal estimated set time and the planned set time of the target user by using a preset formula; wherein the plan aggregation time is included in the aggregation plan, and the predetermined formula is: the planned aggregate time-the personal projected aggregate time of the target user-a first time threshold;
when the duration difference is smaller than a second duration threshold value, recommending car sharing service with a target participant to the target user; wherein the target participant is: and the participants located in a preset address range in the current other participants are located, wherein the preset address range is a range which takes the current position information of the target user as the center and takes a preset distance as a radius.
2. The method of claim 1, wherein after the step of determining the current group forecast times for the muster plan based on the target user's personal forecast muster times, the method further comprises:
and when the travel information updating condition is met, triggering the step of obtaining the travel information of the target user as the participant of the set plan.
3. The method of claim 1 or 2, wherein the population prediction set time is: the time is equal to or later than the latest time in the plurality of personal estimated set times corresponding to the user groups.
4. The method according to claim 1 or 2, wherein when the plurality of personal estimation aggregation times corresponding to the user group are all earlier than the plan aggregation time, the group estimation aggregation time is: the plan aggregate time.
5. The method according to claim 1 or 2, characterized in that the method further comprises:
and determining the optimal departure time of the target user based on the relation between the personal estimated set time of the target user and the planned set time.
6. The method of claim 5, wherein the step of determining an optimal departure time for the target user based on the relationship between the personal forecast aggregate time and the planned aggregate time for the target user comprises:
when the time length difference is not less than 0, determining the optimal departure time of the target user as: a time that is later than the current time by the duration difference;
and when the time length difference is less than 0, determining the optimal departure time of the target user as the current time.
7. The method of claim 1 or 2, further comprising:
if the time of the target user reaching the target position information is earlier than the current group estimated aggregation time of the aggregation plan, obtaining service reference information corresponding to the target user;
and recommending service information to the target user based on the service reference information corresponding to the target user.
8. The method of claim 7, wherein the service reference information comprises:
one or more of a user representation, an early arrival time, a current scene, a planned event, and historical behavior.
9. An information processing apparatus characterized by comprising:
a travel information obtaining unit for obtaining travel information of a target user who is a participant of the ensemble plan; calculating the time length difference between the personal estimated set time and the planned set time of the target user by using a preset formula; wherein the plan aggregation time is included in the aggregation plan, and the predetermined formula is: the planned aggregate time-the personal projected aggregate time of the target user-a first time threshold; when the duration difference is smaller than a second duration threshold value, recommending car sharing service with a target participant to the target user; wherein the target participant is: participants located in a preset address range in the current other participants, wherein the preset address range is a range which takes the current position information of the target user as a center and takes a preset distance as a radius;
a personal estimated aggregation time determining unit, configured to determine a personal estimated aggregation time of the target user based on the trip information and target position information included in the aggregation plan;
the group estimation set time determining unit is used for determining the current group estimation set time of the set plan based on the personal estimation set time of the target user; wherein the group estimation aggregation time is as follows: a projected rendezvous time for a user population that includes the target user and the remaining participants for which the rendezvous plan is currently intended.
10. 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 information processing method of any one of claims 1 to 8 when executing the program.
11. A computer-readable storage medium characterized in that the storage medium stores a computer program for executing the information processing method according to any one of claims 1 to 8.
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| CN112913210B (en) * | 2018-12-29 | 2022-10-28 | 深圳市欢太科技有限公司 | Method for determining information content and related product |
| CN110738462A (en) * | 2019-10-12 | 2020-01-31 | 百度在线网络技术（北京）有限公司 | Plan management method, plan management device, electronic device, and storage medium |
| CN112100309A (en) * | 2020-11-06 | 2020-12-18 | 北京妙医佳健康科技集团有限公司 | Electronic map system with reminding function |
| CN112465609A (en) * | 2021-01-27 | 2021-03-09 | 浙江口碑网络技术有限公司 | Initiating method and device for group-piecing order and electronic equipment |
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