CN111369025A - Information display method and device, storage medium and electronic equipment - Google Patents

Information display method and device, storage medium and electronic equipment Download PDF

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CN111369025A
CN111369025A CN202010139185.XA CN202010139185A CN111369025A CN 111369025 A CN111369025 A CN 111369025A CN 202010139185 A CN202010139185 A CN 202010139185A CN 111369025 A CN111369025 A CN 111369025A
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唐伊丽
朱宏图
叶杰平
杨海
张凌宇
吴玺煜
吴国斌
张露露
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Beijing Didi Infinity Technology and Development Co Ltd
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Abstract

The present disclosure provides an information display method, apparatus, storage medium and electronic device, the method includes responding to an order request of a user, obtaining order state information of a current order of the user at a current moment; inputting order state information into a cost model, and determining a recommendation sequence based on a travel mode of a user; and sequentially displaying the travel modes based on the recommendation sequence of the travel modes. The display sequence of the travel modes is determined based on the expected cost of the user behavior, real-time cost information of the user at different moments and states in the network car booking process can be acquired, comparison and judgment can be carried out based on the cost information to determine the recommendation sequence of the travel modes at the current moment, all the travel modes are displayed according to the determined recommendation sequence, the travel modes which are more consistent with the expectation of the user and better in economy can be selected by the user, and the travel efficiency of the user and the resource matching efficiency of a network car booking operator are improved.

Description

Information display method and device, storage medium and electronic equipment
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to an information display method, an information display apparatus, a storage medium, and an electronic device.
Background
The network car booking platform realizes the purpose that a user reserves a travel vehicle through a network, thereby bringing great convenience for the travel of the user. At present, a network car booking platform can provide services of multiple travel modes for a user, such as express trains, taxis, windmills, special trains, premium cars, luxury cars and the like, and the user can select different travel modes when reserving travel vehicles by using the network car booking platform.
Generally, the network car booking platform displays all travel modes in sequence through a fixed display sequence for a user to select, the user enters a queue after requesting for booking a vehicle, and resource waste is caused to the user and the network car booking platform due to unbalanced or unmatched travel demands and vehicle supplies in the queue, so that the travel efficiency is reduced. Further, considering that the selection behavior of the user for the travel modes is influenced by various factors, in order to improve the selection efficiency of the user, the online booking platform may further determine the selection preference of the user for the travel modes by analyzing user history data (such as a response rate or an acceptance rate, etc.), and further reorder all the travel modes, so that the user selects the travel modes based on a new display order. However, the method only reorders according to the historical data of the user, and does not consider the influence of factors such as time and price on the selection of the proper travel mode by the user, so that the user cannot select the most proper travel mode in time.
Disclosure of Invention
In view of this, an object of the present disclosure is to provide an information display method, an information display apparatus, a storage medium, and an electronic device, so as to solve the problem in the prior art that a user cannot select an optimal travel mode in time due to too single consideration factor in the process of displaying and recommending the travel mode of the user, thereby resulting in low resource matching efficiency.
In a first aspect, the present disclosure provides an information display method, including:
responding to an order request of a user, and acquiring order state information of a current order of the user at the current moment;
inputting the order state information into a cost model, and determining a recommendation sequence based on a travel mode of the user;
and sequentially displaying the travel modes based on the recommendation sequence of the travel modes.
In a possible implementation, the current time includes one of:
the time of entering the queue of the current order, the time of answering the current order, the time of canceling the current order and the time of changing the travel mode in the current order.
In one possible embodiment, the order status information includes at least the following information:
time cost information and value cost information.
In one possible embodiment, the cost model is trained by:
acquiring an order log and a travel mode log of a user in a preset time period;
determining user characteristic information and travel characteristic information based on the order log and the travel mode log;
constructing a cost inequality based on the user characteristic information, the trip characteristic information and the trip behavior logic;
determining at least one cost weight value by the cost inequality.
In a possible embodiment, the inputting the order status information into a cost model and determining a recommended order based on the user's travel mode includes:
determining a first cost value of the current order of the user at the current moment based on the order state information and the cost relation logic;
determining a second cost value for switching other travel modes at the current moment;
sorting all travel modes by cost value size based on the first cost value and the second cost value.
In a second aspect, the present disclosure also provides an information display device, including:
the acquisition module is used for responding to an order request of a user and acquiring order state information of a current order of the user at the current moment;
the determining module is used for inputting the order state information into a cost model and determining a recommendation sequence based on the travel mode of the user;
and the display module is used for sequentially displaying the travel modes based on the recommendation sequence of the travel modes.
In a possible implementation, the current time includes one of:
the time of entering the queue of the current order, the time of answering the current order, the time of canceling the current order and the time of changing the travel mode in the current order.
In one possible embodiment, the order status information includes at least the following information:
time cost information and value cost information.
In a possible implementation, the information display device further includes a training module configured to:
acquiring an order log and a travel mode log of a user in a preset time period;
determining user characteristic information and travel characteristic information based on the order log and the travel mode log;
constructing a cost inequality based on the user characteristic information, the trip characteristic information and the trip behavior logic;
determining at least one cost weight value by the cost inequality.
In one possible embodiment, the determining module includes:
a first determining unit, configured to determine, based on the order state information and the cost relationship logic, a first cost value of the current order of the user at the current time;
a second determining unit, configured to determine a second cost value for switching to another trip mode at the current time;
and the sorting unit is used for sorting all the travel modes according to the size of the cost value based on the first cost value and the second cost value.
In a third aspect, the present disclosure also provides a computer-readable storage medium, wherein the computer-readable storage medium has stored thereon a computer program, which, when being executed by a processor, performs the steps of the information display method as described.
In a fourth aspect, the present disclosure also provides an electronic device, including: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is operating, the machine-readable instructions when executed by the processor performing the steps of the information display method as described.
The display sequence of the travel modes is determined based on the expected cost of the user behavior, real-time cost information of the user at different moments and states in the network car booking process can be acquired, comparison and judgment can be carried out based on the cost information to determine the recommendation sequence of the travel modes at the current moment, all the travel modes are displayed according to the determined recommendation sequence, the travel modes which are more consistent with the expectation of the user and better in economy can be selected by the user, and the travel efficiency of the user and the resource matching efficiency of a network car booking operator are improved.
In order to make the aforementioned objects, features and advantages of the present disclosure more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the present disclosure or the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present disclosure, and other drawings can be obtained by those skilled in the art without inventive exercise.
FIG. 1 illustrates a flow chart of an information display method provided by the present disclosure;
FIG. 2 illustrates a flow chart of a method for training a cost model in an information display provided by the present disclosure;
fig. 3 is a flowchart illustrating a method for determining a recommendation sequence based on a user's travel pattern in an information display method provided by the present disclosure;
fig. 4 shows a schematic structural diagram of an information display device provided by the present disclosure;
fig. 5 shows a schematic structural diagram of an electronic device provided by the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present disclosure more apparent, the technical solutions of the present disclosure will be described clearly and completely below with reference to the accompanying drawings of the present disclosure. It is to be understood that the described embodiments are only a few embodiments of the present disclosure, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the disclosure without any inventive step, are within the scope of protection of the disclosure.
Unless otherwise defined, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this disclosure belongs. The use of "first," "second," and similar terms in this disclosure is not intended to indicate any order, quantity, or importance, but rather is used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
To maintain the following description of the present disclosure clear and concise, detailed descriptions of known functions and known components are omitted from the present disclosure.
A first aspect of the present disclosure provides an information display method, and fig. 1 shows a flowchart of the information display method of the present disclosure, which includes the following specific steps:
s101, responding to the order request of the user, and acquiring the order state information of the current order of the user at the current moment.
In a specific implementation, a user sends an order request to a network appointment platform through a mobile terminal device, where the content of the order request may be, for example, that the user desires to go from a certain travel mode to a location B from a location a, or of course, that the user desires to switch the travel mode from a mode 1 to a mode 2, or the like.
After receiving an order request of a user, acquiring order state information of a current order of the user at the current moment based on the order request; the current time comprises the time of entering a queuing queue of the current order, the time of answering the current order, the time of canceling the current order and the time of changing a travel mode in the current order.
Specifically, when the current order queue is entered, namely after the user determines the starting position, the ending position and the travel mode, the network car booking platform starts to match the network car booking time for the user based on the starting position, the ending position and the travel mode; the response moment of the current order, namely the moment when the online taxi appointment platform matches the online taxi appointment for the user based on the initial position, the end position and the travel mode, and displays the information of the matched online taxi appointment to the user; the cancellation moment of the current order, namely the moment when the user stops reserving the driving due to long waiting time or change of the journey and the like; the time when the travel mode is changed in the current order is the time when the user selects a travel mode other than the current travel mode due to long waiting time.
In the disclosure, the travel mode is various travel services provided by the network taxi appointment platform for the user, such as express trains, taxies, tailplanes, special cars, premium cars, luxury cars, and the like, one service is a travel mode, and the user can select different travel modes, or leave the current travel mode and enter other travel modes under the conditions of overlong waiting time of the current travel mode and higher expected cost, for example, select the travel mode of the premium car with higher price and shorter queuing waiting time when the queuing waiting time of the taxi is longer.
Here, the order status information includes at least time cost information and value cost information. Specifically, the time cost information includes the time that has been waited by the current time, the time that needs to be waited at the current time, the estimated travel time from the start position to the end position at the current time, and the like; the value cost information includes a price estimated at the present time required from the start position to the end position, and the like. The foregoing list is by way of example only and is not intended as a limitation on the present disclosure.
And S102, inputting the order state information into the cost model, and determining a recommendation sequence based on the travel mode of the user.
After the order state information of the current order of the user at the current moment is acquired, the order state information is input into a pre-trained cost model, and the cost model obtains a recommendation sequence based on the trip mode through calculation.
Here, the recommended order is determined from low to high in accordance with a cost value for each travel mode, which includes a fitted cost value of a time cost and a value cost that the user tends to pay for travel.
Specifically, the cost value is a desired cost value of the user, that is, a cost that the user desires to pay for the current travel behavior. Specifically, the expected cost values include at least a unit time value, a unit sinking time value, a unit waiting time value and a unit travel time value; the unit time value is the cost expected to be paid by the user for the unit time, for example, the unit time value of 5 yuan RMB/minute indicates that the user expects to pay more 5 yuan RMB for saving 1 minute; the unit sinking time value is the cost expected to be paid by the user for the waiting time; the unit waiting time value is the cost expected to be paid by the user to the estimated waiting time; the value of the unit travel time is the cost expected to be paid by the user for the travel time.
In the present disclosure, a cost formula in the cost model is constructed in advance based on the meaning of the desired cost value, specifically as follows:
cost Y at the current time tt,iIs defined as:
Figure BDA0002398448620000061
wherein, Δ tt,iIndicating the time that has been waiting for,
Figure BDA0002398448620000062
representing the estimated wait time at the current time t,
Figure BDA0002398448620000063
representing the estimated travel time, p, at the current time tt,iIndicating the estimated price, X, at the current time t0,X1,X2,X3,X4Representing feature vectors, β0(X0) Representing the value of unit sink time, β1(X1) Expressing the value of unit wait time, β2(X2) Representing unit travel time value, β3(X3) Expressing the unit money value, β4(X4) Represents a fixed value, β4(X4) Therefore, when the online car appointment platform displays travel information (such as estimated price, estimated waiting time and the like), β in the cost model0，β1，β2，β3，β4The size and distribution of the values determines the expected cost of the user to place the current order.
Based on the difference of the current time, the cost formula in actual calculation is as follows:
when the current time is the time of queuing of the incoming order, the initial cost is as follows:
Figure BDA0002398448620000064
when the current time is any waiting time after the queuing queue of the incoming order, the cost of the user at the time t is as follows:
Figure BDA0002398448620000071
when the current time is the response time of the order, the response cost is as follows:
Figure BDA0002398448620000072
wherein, tfIndicating a response time;
when the current time is the cancellation time of the order, the cancellation cost is as follows:
Figure BDA0002398448620000073
wherein, tcIndicating a cancellation time
When the current time is the time when the travel mode is changed in the order, the cost for changing the travel mode is as follows:
Figure BDA0002398448620000074
wherein, tkIndicating the moment when the user changes the travel pattern,
Figure BDA0002398448620000075
representing the cost of changing the travel pattern to k,
Figure BDA0002398448620000076
representing the estimated wait time for travel pattern k,
Figure BDA0002398448620000077
representing the estimated travel time of travel pattern k,
Figure BDA0002398448620000078
representing the estimated price of travel pattern k.
After a calculation formula in the cost model is established, the cost model is trained and obtained by referring to the method shown in fig. 2, wherein the method specifically comprises the following steps:
s201, obtaining an order log and a travel mode log of a user in a preset time period.
Considering that the time cost and the value cost expected to be paid by the user for traveling are influenced by factors such as economic conditions and subjective willingness of the user, for example, the acceptance of unit values of time and money by different users is very different, for example, there is a part of users who pay higher attention to unit values of time and money, and then the part of users tend to select a lower-price traveling mode (such as carpooling); there is also a high value per unit time for some users, which may tend to select a travel mode with less waiting time (e.g., special car). Therefore, the present disclosure trains the cost model based on data of which the training time is a predetermined time period as a training sample.
Specifically, an order log and a travel mode log of the user within a predetermined time period are obtained, and data included in the order log and the travel mode log are used as training samples. The order log comprises a plurality of historical orders, position information, waiting time length, whether to be answered or not cancelled or not of each historical order and the like; the travel mode log comprises travel modes selected by each historical order and estimated information of each travel mode at each moment in the waiting time, wherein the estimated information comprises estimated waiting time, estimated price and the like.
Of course, after the data included in the order log and the travel mode log are obtained, the data can be cleaned, recognizable error data in the data can be found and corrected, and invalid, missing, abnormal and other data can be deleted or supplemented.
S202, determining user characteristic information and travel characteristic information based on the order log and the travel mode log.
Further, a large amount of training is performed on the cost model based on the order log and the travel mode log, and relevant parameters in the cost model are adjusted based on the training result.
Here, the user characteristic information and the travel characteristic information are determined based on the order log and the travel pattern log. The user characteristic information comprises the gender, the age group, the sinking time cost, the waiting time cost, the traveling time cost and the like of the user, the gender and the age group of the user can be directly obtained from a network car appointment platform, and the sinking time cost, the waiting time cost and the traveling time cost can be obtained by analyzing and calculating based on a historical order of the user; the trip characteristic information comprises weather characteristics, position characteristics and the like, the weather characteristics can be obtained from a weather platform, and the position characteristics can be obtained based on a map.
S203, constructing a cost inequality based on the user characteristic information, the trip characteristic information and the trip behavior logic.
Considering that in different scenes, a user makes corresponding selections for different travel modes in the process of reserving a network car appointment, and value evaluation of the user on the different travel modes is reflected, namely, the user determines the travel modes based on the expected cost of the user and the value evaluation results of the different travel modes; therefore, the present disclosure sets corresponding travel behavior logic for each scene, respectively.
Specifically, when the order is answered, the travel behavior logic is as
Figure BDA0002398448620000083
That is, the cost value of the response time is not more than the cost value of the queuing time of the order; when the order is cancelled, the travel behavior logic is as follows
Figure BDA0002398448620000081
Namely the cost value at the moment of canceling is not more than the cost value at the moment of entering the queuing queue of the order and is not more than the cost values of other travel modes; when the travel mode of the order is switched, the travel behavior logic is as follows
Figure BDA0002398448620000082
I.e. the cost value at the moment when the travel mode is changed in the order is not greater than the cost value at the current queuing moment.
And performing joint optimization to construct a cost inequality according to the cost value relation of each scene based on the user characteristic information, the travel characteristic information and the travel behavior logic. For example, using the pair-wise technique in learning to rank, the cost values of the behavior or travel pattern in the same scene are sorted, and the low cost value is represented as Y+Whereas the cost of a high cost value is denoted as Y-. Thus, placing a high cost value after a low cost value in the sorting process means that the following cost equation holds: y is+<Y-. In order to avoid the objective function reaching the local optimum (i.e. both the time cost and the cost value meet the user's requirements, and the cost value obtained by fitting is the lowest), therefore, a very small boundary value γ is required, and the cost inequality is rewritten as follows: y is++γ<Y-. Finally, the cost inequality is abbreviated as a loss function for iterative optimization
Figure BDA0002398448620000091
S204, determining at least one cost weight value through a cost inequality.
Here, the cost inequality of each scene is trained by using a large number of training samples, and at least one cost weight value is determined, where the cost weight value refers to at least one of a unit sinking time value, a unit waiting time value, a unit trip time value, a unit money value, and a fixed value in the cost formula. For example, the user's value of unit wait time, value of unit travel time, and fixed values reflecting the user's personal and environmental differences may be determined for the cost inequality when the order is answered.
Considering that the cost inequality is a binary inequality constructed for each different scene, and in practical application, each scene has a possibility of occurrence, therefore, the algorithm of the cost model for all scenes needs to ensure that the scenes are in the same space, and further ensure that the logics of the inequalities of all scenes have consistency. In the disclosure, parameters of each scene are shared by using a multi-task technology; and a random sampling mode is used, so that each scene can achieve the purpose of training simultaneously, and the cost model disclosed by the invention is suitable for all scenes.
Wherein, the cost weight value obtained by training each stage simultaneously is a parameter of the cost model, that is, β in the above cost formula0，β1，β2，β3，β4。
In specific implementation, a recommendation sequence based on a travel mode of a user is determined according to the method shown in fig. 3, wherein the specific steps are as follows:
s301, determining a first cost value of the current order of the user at the current moment based on the order state information and the cost relation logic.
Specifically, a first cost value of the current order of the user at the current time is determined based on the order state information and the cost relation logic, that is, after the order state information is obtained, the order state information is calculated by using the cost model, and the first cost value is output by the cost model. Wherein, the cost model comprises cost relation logic.
Here, the first cost value includes a cost value of the user-selected travel mode in the current order at the current time. After entering the queue of the order, the order state information is still obtained in real time, or the order state information is obtained based on a preset obtaining time interval, so that the first cost value is calculated in real time according to the order state information obtained each time and is updated.
And S302, determining a second cost value for switching other travel modes at the current moment.
In specific implementation, the order state information is still acquired in real time after the order queue is entered, or the order state information is acquired based on a preset acquisition time interval; therefore, a second cost value for switching other travel modes is calculated in real time based on the order state information acquired each time; that is, when the user switches the currently selected travel mode to another travel mode, second cost values of the other travel modes are calculated.
Wherein the second cost value comprises cost values for travel modes other than the user selected travel mode in the current order.
It is worth to be noted that after entering the queuing queue of the order, the second cost values of the other travel modes except the travel mode selected by the user in the current order at each waiting time can be determined in real time, and if the order is answered at the current time, the second cost values of the other travel modes except the travel mode selected by the user in the current order at the answering time of the order can be calculated; and calculating second cost values of other travel modes except the travel mode selected by the user in the current order at the cancellation time of the order if the order is cancelled at the current time.
And S303, sorting all the travel modes according to the size of the cost values based on the first cost value and the second cost value.
After the first cost value and the second cost value are determined, the first cost value and the second cost value are compared, all the travel modes are sequenced from small to large according to the cost values, the recommended sequence of the travel mode of the user at the current moment is obtained, and therefore the user can determine whether to switch other travel modes according to the recommended sequence.
And S103, sequentially displaying the travel modes based on the recommended sequence of the travel modes.
After the recommendation sequence of the travel modes is determined, the travel modes are sequentially displayed according to the recommendation sequence.
For example, at the time of entering a queuing queue of an order, a travel mode selected by a user is express, then, a first cost value of the express at the waiting time is calculated in real time, second cost values of the travel modes except the express are calculated in real time, the first cost value and the second cost value are compared, and if the second cost values of other travel modes such as the express are smaller than the first cost value, the current recommendation sequence is updated so that the user can quickly select.
It should be noted that, at the response time and the cancel time of the order, the recommendation sequence may also be updated to provide an opinion for the selection of the user, for example, if the travel mode selected by the current order of the user is a special vehicle and the order is responded, and the second cost value of the express train is determined to be smaller than the first cost value of the special vehicle based on the first cost value of the special vehicle and the second cost values of other travel modes at the response time, the current recommendation sequence is updated, and a corresponding prompt may also be provided to the user based on the updated recommendation sequence.
The display sequence of the travel modes is determined based on the expected cost of the user behavior, real-time cost information of the user at different moments and states in the network car booking process can be acquired, comparison and judgment can be carried out based on the cost information to determine the recommendation sequence of the travel modes at the current moment, all the travel modes are displayed according to the determined recommendation sequence, the travel modes which are more consistent with the expectation of the user and better in economy can be selected by the user, and the travel efficiency of the user and the resource matching efficiency of a network car booking operator are improved.
Based on the same inventive concept, the second aspect of the present disclosure further provides an information display apparatus corresponding to the information display method, and since the principle of the apparatus in the present disclosure for solving the problem is similar to the information display method described above in the present disclosure, the implementation of the apparatus may refer to the implementation of the method, and repeated details are not repeated.
Referring to fig. 4, the information display device includes: an acquisition module 10, a determination module 20 and a display module 30. The obtaining module 10 is configured to respond to an order request of a user, and obtain order state information of a current order of the user at a current time.
In a specific implementation, a user sends an order request to a network appointment platform through a mobile terminal device, where the content of the order request may be, for example, that the user desires to go from a certain travel mode to a location B from a location a, or of course, that the user desires to switch the travel mode from a mode 1 to a mode 2, or the like.
After receiving an order request of a user, acquiring order state information of a current order of the user at the current moment based on the order request; the current time comprises the time of entering a queuing queue of the current order, the time of answering the current order, the time of canceling the current order and the time of changing a travel mode in the current order.
Specifically, when the current order queue is entered, namely after the user determines the starting position, the ending position and the travel mode, the network car booking platform starts to match the network car booking time for the user based on the starting position, the ending position and the travel mode; the response moment of the current order, namely the moment when the online taxi appointment platform matches the online taxi appointment for the user based on the initial position, the end position and the travel mode, and displays the information of the matched online taxi appointment to the user; the cancellation moment of the current order, namely the moment when the user stops reserving the driving due to long waiting time or change of the journey and the like; the time when the travel mode is changed in the current order is the time when the user selects a travel mode other than the current travel mode due to long waiting time.
In the disclosure, the travel mode is various travel services provided by the network taxi appointment platform for the user, such as express trains, taxies, tailplanes, special cars, premium cars, luxury cars, and the like, one service is a travel mode, and the user can select different travel modes, or leave the current travel mode and enter other travel modes under the conditions of overlong waiting time of the current travel mode and higher expected cost, for example, select the travel mode of the premium car with higher price and shorter queuing waiting time when the queuing waiting time of the taxi is longer.
Here, the order status information includes at least time cost information and value cost information. Specifically, the time cost information includes the time that has been waited by the current time, the time that needs to be waited at the current time, the estimated travel time from the start position to the end position at the current time, and the like; the value cost information includes a price estimated at the present time required from the start position to the end position, and the like. The foregoing list is by way of example only and is not intended as a limitation on the present disclosure.
A determining module 20, configured to input the order state information into a cost model, and determine a recommendation sequence based on the user's travel mode. After the order state information of the current order of the user at the current moment is acquired, the order state information is input into a pre-trained cost model, and the cost model obtains a recommendation sequence based on the trip mode through calculation.
Here, the recommended order is determined from low to high in accordance with a cost value including a fitted cost value of a time cost and a value cost that the user tends to pay for the trip.
Here, the cost value is a desired cost value of the user, that is, a cost that the user desires to pay for the current trip.
Specifically, the cost values include at least a unit time value, a unit sinking time value, a unit waiting time value, and a unit travel time value; the unit time value is the cost expected to be paid by the user for the unit time, for example, the unit time value of 5 yuan RMB/minute indicates that the user expects to pay more 5 yuan RMB for saving 1 minute; the unit sinking time value is the cost expected to be paid by the user for the waiting time; the unit waiting time value is the cost expected to be paid by the user to the estimated waiting time; the value of the unit travel time is the cost expected to be paid by the user for the travel time.
In the present disclosure, a cost formula in the cost model is constructed in advance based on the meaning of the desired cost value, specifically as follows:
cost Y at the current time tt,iIs defined as:
Figure BDA0002398448620000121
wherein, Δ tt,iIndicating the time that has been waiting for,
Figure BDA0002398448620000122
representing the estimated wait time at the current time t,
Figure BDA0002398448620000123
representing the estimated travel time, p, at the current time tt,iIndicating the estimated price, X, at the current time t0,X1,X2,X3,X4Representing feature vectors, β0(X0) Representing the value of unit sink time, β1(X1) Expressing the value of unit wait time, β2(X2) Representing unit travel time value, β3(X3) Expressing the unit money value, β4(X4) Represents a fixed value, β4(X4) Therefore, when the online car appointment platform displays travel information (such as estimated price, estimated waiting time and the like), β in the cost model0，β1，β2，β3，β4The size and distribution of the values determines the expected cost of the user to place the current order.
Based on the difference of the current time, the cost formula in actual calculation is as follows:
when the current time is the time of queuing of the incoming order, the initial cost is as follows:
Figure BDA0002398448620000131
when the current time is any waiting time after the queuing queue of the incoming order, the cost of the user at the time t is as follows:
Figure BDA0002398448620000132
when the current time is the response time of the order, the response cost is as follows:
Figure BDA0002398448620000133
wherein, tfIndicating a response time;
when the current time is the cancellation time of the order, the cancellation cost is as follows:
Figure BDA0002398448620000134
wherein, tcIndicating a cancellation time
When the current time is the time when the travel mode is changed in the order, the cost for changing the travel mode is as follows:
Figure BDA0002398448620000135
wherein, tkIndicating the moment when the user changes travel mode in the order,
Figure BDA0002398448620000136
representing the cost of changing the travel pattern to k,
Figure BDA0002398448620000137
representing the estimated wait time for travel pattern k,
Figure BDA0002398448620000138
representing the estimated travel time of travel pattern k,
Figure BDA0002398448620000139
representing the estimated price of travel pattern k.
The information display apparatus of the present disclosure further includes a training module 40 for: acquiring an order log and a travel mode log of a user in a preset time period; determining user characteristic information and travel characteristic information based on the order log and the travel mode log; constructing a cost inequality based on the user characteristic information, the trip characteristic information and the trip behavior logic; and determining at least one cost weight value through the cost inequality, wherein the cost weight value refers to at least one of a unit sinking time value, a unit waiting time value, a unit trip time value, a unit money value and a fixed value in the cost formula.
Considering that the time cost and the value cost expected to be paid by the user for traveling are influenced by the economic conditions and subjective awareness of the user, for example, the unit value of time and money of the user is very different, for example, the unit value of time of part of the users is higher than the unit value of money, and the part of the users tend to select a lower-price traveling mode (such as carpooling); there is also a high value per unit time for some users, which may tend to select a travel mode with less waiting time (e.g., special car). Accordingly, the present disclosure trains the cost model based on data that is a predetermined period of time from the time of training as a training sample.
Specifically, an order log and a travel mode log of the user within a predetermined time period are obtained, and data included in the order log and the travel mode log are used as training samples. The order log comprises a plurality of historical orders, position information, waiting time length, whether to be answered or not cancelled or not of each historical order and the like; the travel mode log comprises travel modes selected by each historical order and estimated information of each travel mode at each moment in the waiting time, wherein the estimated information comprises estimated waiting time, estimated price and the like.
Of course, after the data included in the order log and the travel mode log are obtained, the data can be cleaned, recognizable error data in the data can be found and corrected, and invalid, missing, abnormal and other data can be deleted or supplemented.
Further, a large amount of training is performed on the cost model based on the order log and the travel mode log, and parameters of the cost model are adjusted based on the training result.
Here, the user characteristic information and the travel characteristic information are determined based on the order log and the travel pattern log. The user characteristic information comprises the gender, the age group, the sinking time cost, the waiting time cost, the traveling time cost and the like of the user, the gender and the age group of the user can be directly obtained from a network car appointment platform, and the sinking time cost, the waiting time cost and the traveling time cost can be obtained by analyzing and calculating based on a historical order of the user; the trip characteristic information comprises weather characteristics, position characteristics and the like, the weather characteristics can be obtained from a weather platform, and the position characteristics can be obtained based on a map.
Considering that in different scenes, a user makes corresponding selections for different travel modes in the process of reserving a network car appointment, and value evaluation of the user on the different travel modes is reflected, namely, the user determines the travel modes based on the expected cost of the user and the value evaluation results of the different travel modes; thus, the present disclosure calculates the travel behavior logic separately for each scene.
Specifically, when the order is answered, the travel behavior logic is as
Figure BDA0002398448620000142
That is, the cost value of the response time is not more than the cost value of the queuing time of the order; when the order is cancelled, the travel behavior logic is as follows
Figure BDA0002398448620000141
Namely the cost value at the moment of canceling is not more than the cost value at the moment of entering the queuing queue of the order and is not more than the cost values of other travel modes; when the travel mode of the order is switched, the travel behavior logic is as follows
Figure BDA0002398448620000151
I.e. the cost value at the moment when the travel mode is changed in the order is not greater than the cost value at the current queuing moment.
Cost value for each scene is related based on user characteristic information, travel characteristic information and travel behavior logicThe cost inequality is constructed by joint optimization. For example, using the pair-wise technique in learning to rank, the cost values of the behavior or travel pattern in the same scene are sorted, and the low cost value is represented as Y+Whereas the cost of a high cost value is denoted as Y-. Thus, placing a high cost value after a low cost value in the sorting process means that the following cost equation holds: y is+<Y-. In order to avoid the objective function reaching the local optimum (i.e. both the time cost and the cost value meet the user's requirements, and the cost value obtained by fitting is the lowest), therefore, a very small boundary value γ is required, and the cost inequality is rewritten as follows: y is++γ<Y-. Finally, the cost inequality is abbreviated as a loss function for iterative optimization
Figure BDA0002398448620000152
Here, the cost inequality of each scene is trained by using a large number of training samples, and at least one cost weight value is determined, where the cost weight value refers to at least one of a unit sinking time value, a unit waiting time value, a unit trip time value, a unit money value, and a fixed value in the cost formula. For example, the user's value of unit wait time, value of unit travel time, and fixed values reflecting the user's personal and environmental differences may be determined for the cost inequality when the order is answered.
Considering that the cost inequality is a binary inequality constructed for each different scene, and in practical application, each scene has a possibility of occurrence, therefore, the algorithm of the cost model for all scenes needs to ensure that the scenes are in the same space, and further ensure that the logics of the inequalities of all scenes have consistency. In the disclosure, parameters of each scene are shared by using a multi-task technology; and a random sampling mode is used, so that each scene can achieve the purpose of training simultaneously, and the cost model disclosed by the invention is suitable for all scenes.
Wherein each time of training is simultaneouslyThe cost weight value obtained in each stage is a parameter of the cost model, i.e. β in the above cost formula0，β1，β2，β3，β4。
The determination module 20 of the present disclosure includes a first determination unit, a second determination unit, and a sorting unit.
And the first determining unit is used for determining a first cost value of the current order of the user at the current moment based on the order state information and the cost relation logic.
Specifically, a first cost value of the current order of the user at the current time is determined based on the order state information and the cost relation logic, that is, after the order state information is obtained, the order state information is calculated by using the cost model, and the first cost value is output by the cost model. Wherein, the cost model comprises cost relation logic.
Here, the first cost value includes a cost value of the user-selected travel mode in the current order at the current time. After entering the queue of the order, the order state information is still obtained in real time, or the order state information is obtained based on a preset obtaining time interval, so that the first cost value is calculated in real time according to the order state information obtained each time and is updated.
And a second determining unit, configured to determine a second cost value for switching to another trip mode at the current time.
In specific implementation, the order state information is still acquired in real time after the order queue is entered, or the order state information is acquired based on a preset acquisition time interval; therefore, a second cost value for switching other travel modes is calculated in real time based on the order state information acquired each time; that is, when the user switches the currently selected travel mode to another travel mode, second cost values of the other travel modes are calculated. Wherein the second cost value comprises cost values for travel modes other than the user selected travel mode in the current order.
It is worth to be noted that after entering the queuing queue of the order, the second cost values of the other travel modes except the travel mode selected by the user in the current order at each waiting time can be determined in real time, and if the order is answered at the current time, the second cost values of the other travel modes except the travel mode selected by the user in the current order at the answering time of the order can be calculated; and calculating second cost values of other travel modes except the travel mode selected by the user in the current order at the cancellation time of the order if the order is cancelled at the current time.
And the sorting unit is used for sorting all the travel modes according to the size of the cost value based on the first cost value and the second cost value.
After the first cost value and the second cost value are determined, the first cost value and the second cost value are compared, all the travel modes are sequenced from small to large according to the cost values, the recommended sequence of the travel mode of the user at the current moment is obtained, and therefore the user can determine whether to switch other travel modes according to the recommended sequence.
A display module 30, configured to sequentially display the travel modes based on the recommendation sequence of the travel modes.
After the recommendation sequence of the travel modes is determined, the travel modes are sequentially displayed according to the recommendation sequence.
For example, at the time of entering a queuing queue of an order, a travel mode selected by a user is express, then, a first cost value of the express at the waiting time is calculated in real time, second cost values of the travel modes except the express are calculated in real time, the first cost value and the second cost values are compared, and if the second cost values of other travel modes, such as the excellent share, are smaller than the first cost value, the current recommendation sequence is updated, so that the user can quickly select.
It should be noted that, at the response time and the cancel time of the order, the recommendation sequence may also be updated to provide an opinion for the selection of the user, for example, if the travel mode selected by the current order of the user is a special vehicle and the order is responded, and the second cost value of the express train is determined to be smaller than the first cost value of the special vehicle based on the first cost value of the special vehicle and the second cost values of other travel modes at the response time, the current recommendation sequence is updated, and a corresponding prompt may also be provided to the user based on the updated recommendation sequence.
The display sequence of the travel modes is determined based on the expected cost of the user behavior, real-time cost information of the user at different moments and states in the network car booking process can be acquired, comparison and judgment can be carried out based on the cost information to determine the recommendation sequence of the travel modes at the current moment, all the travel modes are displayed according to the determined recommendation sequence, the travel modes which are more consistent with the expectation of the user and better in economy can be selected by the user, and the travel efficiency of the user and the resource matching efficiency of a network car booking operator are improved.
The third aspect of the present disclosure also provides a storage medium, which is a computer-readable medium storing a computer program, and when the computer program is executed by a processor, the computer program implements the method provided in any embodiment of the present disclosure, including the following steps:
s11, responding to the order request of the user, and acquiring the order state information of the current order of the user at the current moment;
s12, inputting the order state information into a cost model, and determining a recommendation sequence based on the user' S travel mode;
and S13, sequentially displaying the travel modes based on the recommendation sequence of the travel modes.
When the computer program is executed by a processor to respond to an order request of a user and obtain order state information of a current order of the user at the current time, wherein the current time comprises one of the following: the time of entering the queue of the current order, the time of answering the current order, the time of canceling the current order and the time of changing the travel mode in the current order.
When the computer program is executed by a processor to respond to an order request of a user and obtain order state information of a current order of the user at the current moment, the order state information at least comprises the following information: time cost information and value cost information.
The computer program is executed by the processor to input the order state information into a cost model, and before determining a recommended sequence based on the travel mode of the user, the computer program is specifically executed by the processor to perform the following steps: acquiring an order log and a travel mode log of a user in a preset time period; determining user characteristic information and travel characteristic information based on the order log and the travel mode log; constructing a cost inequality based on the user characteristic information, the trip characteristic information and the trip behavior logic; determining at least one cost weight value by the cost inequality.
When the computer program is executed by the processor to input the order state information into the cost model and determine the recommended sequence based on the travel mode of the user, the processor specifically executes the following steps: determining a first cost value of the current order of the user at the current moment based on the order state information and the cost relation logic; determining a second cost value for switching other travel modes at the current moment; sorting all travel modes by cost value size based on the first cost value and the second cost value.
The display sequence of the travel modes is determined based on the expected cost of the user behavior, real-time cost information of the user at different moments and states in the network car booking process can be acquired, comparison and judgment can be carried out based on the cost information to determine the recommendation sequence of the travel modes at the current moment, all the travel modes are displayed according to the determined recommendation sequence, the travel modes which are more consistent with the expectation of the user and better in economy can be selected by the user, and the travel efficiency of the user and the resource matching efficiency of a network car booking operator are improved.
The fourth aspect of the present disclosure also provides an electronic device, as shown in fig. 5, the electronic device at least includes a memory 501 and a processor 502, the memory 501 stores a computer program thereon, and the processor 502 implements the method provided by any embodiment of the present disclosure when executing the computer program on the memory 501. Illustratively, the method performed by the electronic device computer program is as follows:
s21, responding to the order request of the user, and acquiring the order state information of the current order of the user at the current moment;
s22, inputting the order state information into a cost model, and determining a recommendation sequence based on the user' S travel mode;
and S23, sequentially displaying the travel modes based on the recommendation sequence of the travel modes.
When the processor is used for responding to the order request of the user and obtaining the order state information of the current order of the user at the current time, wherein the current time comprises one of the following: the time of entering the queue of the current order, the time of answering the current order, the time of canceling the current order and the time of changing the travel mode in the current order.
When the processor is used for responding to the order request of the user and acquiring the order state information of the current order of the user at the current moment, which is stored in the execution memory, the order state information at least comprises the following information: time cost information and value cost information.
The processor further executes the following computer program before inputting the order state information into a cost model stored on an execution memory and determining a recommended order based on the user's travel pattern: acquiring an order log and a travel mode log of a user in a preset time period; determining user characteristic information and travel characteristic information based on the order log and the travel mode log; constructing a cost inequality based on the user characteristic information, the trip characteristic information and the trip behavior logic; determining at least one cost weight value by the cost inequality.
The processor, when inputting the order state information into a cost model stored in an execution memory and determining a recommended order based on the user's travel mode, further executes the following computer program: determining a first cost value of the current order of the user at the current moment based on the order state information and the cost relation logic; determining a second cost value for switching other travel modes at the current moment; sorting all travel modes by cost value size based on the first cost value and the second cost value.
The display sequence of the travel modes is determined based on the expected cost of the user behavior, real-time cost information of the user at different moments and states in the network car booking process can be acquired, comparison and judgment can be carried out based on the cost information to determine the recommendation sequence of the travel modes at the current moment, all the travel modes are displayed according to the determined recommendation sequence, the travel modes which are more consistent with the expectation of the user and better in economy can be selected by the user, and the travel efficiency of the user and the resource matching efficiency of a network car booking operator are improved.
In some embodiments, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText transfer protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a Local Area Network (LAN), a Wide Area Network (WAN), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The storage medium may be included in the electronic device; or may exist separately without being assembled into the electronic device.
The storage medium carries one or more programs that, when executed by the electronic device, cause the electronic device to: acquiring at least two internet protocol addresses; sending a node evaluation request comprising at least two internet protocol addresses to node evaluation equipment, wherein the node evaluation equipment selects the internet protocol addresses from the at least two internet protocol addresses and returns the internet protocol addresses; receiving an internet protocol address returned by the node evaluation equipment; wherein the obtained internet protocol address indicates an edge node in the content distribution network.
Alternatively, the storage medium carries one or more programs that, when executed by the electronic device, cause the electronic device to: receiving a node evaluation request comprising at least two internet protocol addresses; selecting an internet protocol address from at least two internet protocol addresses; returning the selected internet protocol address; wherein the received internet protocol address indicates an edge node in the content distribution network.
Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It should be noted that the storage media described above in this disclosure can be computer readable signal media or computer readable storage media or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any storage medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a storage medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in this disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
While the present disclosure has been described in detail with reference to the embodiments, the present disclosure is not limited to the specific embodiments, and those skilled in the art can make various modifications and alterations based on the concept of the present disclosure, and the modifications and alterations should fall within the scope of the present disclosure as claimed.

Claims (12)

1. An information display method, comprising:
responding to an order request of a user, and acquiring order state information of a current order of the user at the current moment;
inputting the order state information into a cost model, and determining a recommendation sequence based on a travel mode of the user;
and sequentially displaying the travel modes based on the recommendation sequence of the travel modes.
2. The information display method according to claim 1, wherein the current time includes one of:
the time of entering the queue of the current order, the time of answering the current order, the time of canceling the current order and the time of changing the travel mode in the current order.
3. The information display method according to claim 1, wherein the order status information includes at least the following information:
time cost information and value cost information.
4. The information display method of claim 1, wherein the cost model is trained by:
acquiring an order log and a travel mode log of a user in a preset time period;
determining user characteristic information and travel characteristic information based on the order log and the travel mode log;
constructing a cost inequality based on the user characteristic information, the trip characteristic information and the trip behavior logic;
determining at least one cost weight value by the cost inequality.
5. The information display method according to claim 1, wherein the inputting the order status information into a cost model and determining a recommended order based on a travel mode of the user comprises:
determining a first cost value of the current order of the user at the current moment based on the order state information and the cost relation logic;
determining a second cost value for switching other travel modes at the current moment;
sorting all travel modes by cost value size based on the first cost value and the second cost value.
6. An information display device characterized by comprising:
the acquisition module is used for responding to an order request of a user and acquiring order state information of a current order of the user at the current moment;
the determining module is used for inputting the order state information into a cost model and determining a recommendation sequence based on the travel mode of the user;
and the display module is used for sequentially displaying the travel modes based on the recommendation sequence of the travel modes.
7. The information display device according to claim 6, wherein the current time includes one of:
the time of entering the queue of the current order, the time of answering the current order, the time of canceling the current order and the time of changing the travel mode in the current order.
8. The information display device of claim 6, wherein the order status information comprises at least the following information:
time cost information and value cost information.
9. The information display device of claim 6, further comprising a training module to:
acquiring an order log and a travel mode log of a user in a preset time period;
determining user characteristic information and travel characteristic information based on the order log and the travel mode log;
constructing a cost inequality based on the user characteristic information, the trip characteristic information and the trip behavior logic;
determining at least one cost weight value by the cost inequality.
10. The information display device according to claim 6, wherein the determination module comprises:
a first determining unit, configured to determine, based on the order state information and the cost relationship logic, a first cost value of the current order of the user at the current time;
a second determining unit, configured to determine a second cost value for switching to another trip mode at the current time;
and the sorting unit is used for sorting all the travel modes according to the size of the cost value based on the first cost value and the second cost value.
11. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, carries out the steps of the information display method according to any one of claims 1 to 5.
12. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating via the bus when the electronic device is operating, the machine-readable instructions when executed by the processor performing the steps of the information display method according to any one of claims 1 to 5.
CN202010139185.XA 2020-03-03 2020-03-03 Information display method and device, storage medium and electronic equipment Pending CN111369025A (en)

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