CN110322029A - Resource recommendation method, device and electronic equipment - Google Patents
Resource recommendation method, device and electronic equipment Download PDFInfo
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Abstract
The invention discloses a kind of resource recommendation method, device and electronic equipments.This method comprises: obtaining the Resource Properties of each resource unit in candidate resource set, according to the Resource Properties of each resource unit, corresponding resource scoring is obtained；The customer parameter for obtaining target user obtains the resource preference index of target user according to customer parameter；According to resource preference index, chooses resource and score the resource unit for meeting recommendation condition as target resource unit, recommend target user.According to the present invention it is possible to which target user is made largely in the resource unit of reservation, quickly positioning meets the resource unit of self-demand, to improve the resource acquisition efficiency of user, promote user experience.
Description
Technical field
The present invention relates to field of computer technology, set more particularly, to a kind of resource recommendation method, device and electronics
It is standby.
Background technique
With popularizing for computer, Internet technology rapid development and Intelligent Terminal, people, which can pass through, provides money
The application (such as the ticketing service APP installed on mobile phone) of source booking service performs seat, film seat by internet online booking
The resources such as position, restaurant seat, vehicle seat, great convenience life.
The application of reservation of resources service is provided at present, is usually manually selected for the resource of reservation for user by showing
It is subscribed.For example, providing the ticketing service APP at the seat of purchase performance project, the venue where performance project is usually shown
Seat distribution map is closed the seat of demand by the manual selector of user, and place an order reservation purchase.
But under the scene that the resource for reservation is more or resource distribution is wider, selection can be caused tired to user
It disturbs, generally requires to check repeatedly, screen one by one, taking a long time could select the resource for meeting demand to be subscribed, and cause
User experience is bad.For example, the large stadium where performing includes multiple grandstand regions, each to certain large-scale performance projects
Grandstand region further includes several hundred a seats, and user's needs are checked, screened in grandstand region one by one, then are manually selected and wanted scheduled
Seat spends the time longer, and efficiency is very low, and user experience is excessively poor.
Particularly, when user it is expected the resource subscribed more popular (such as preferable seat of popular project), Yong Huhua
The resource for taking long period selection, may clash, user has to abandon gravity treatment, interaction repeatedly with other people selection
Operation can further deteriorate user experience, while as the interface of load predetermined resource be repeated, to offer reservation of resources clothes
The system of business brings flow attack.
Summary of the invention
It is an object of the present invention to provide a kind of new solutions for resource recommendation.
According to the first aspect of the invention, a kind of resource recommendation method is provided, wherein include:
The Resource Properties for obtaining each resource unit in candidate resource set, according to the resource of each resource unit
Attribute obtains corresponding resource scoring；
Wherein, the Resource Properties include at least the resource distribution parameter and value ginseng of the corresponding resource unit
Number；
The customer parameter of target user is obtained, according to the customer parameter, the resource preference for obtaining the target user refers to
Mark；
Wherein, the resource preference index includes at least the resource value of corresponding user preference；
According to the resource preference index, chooses resource scoring and meet the resource unit of recommendation condition as target resource list
Member recommends the target user.
Optionally, the step of resource scoring for obtaining each resource unit includes:
Corresponding resource distance is calculated according to the corresponding resource distribution parameter to each resource unit；
According to the resource of each resource unit distance and preset reference distance, determine that the corresponding resource is commented
Point.
Optionally, the determining resource score the step of include:
According to the reference distance, the distance range of predetermined number is divided, so that each distance range uniquely corresponds to
One grading system；
According to the resource apart from the corresponding grading system, the corresponding resource scoring is determined.
Optionally,
The resource unit is the seat of performance project；
The resource distribution parameter include at least corresponding seat with respect to the performance project stage center for origin seat
Mark；
The resource distance is the linear distance at the relatively described stage center in corresponding seat；
The reference distance is average value of the stage center to the centrical distance of last row seat.
Optionally, the customer parameter includes at least the identity data of corresponding user, and the identity data includes at least pair
The gender of the user answered and age；
The step of acquisition resource preference index includes:
The corresponding use is calculated based on the resource value preference pattern constructed in advance according to the identity data
The resource value of family preference；
Wherein, resource of the resource value preference pattern based on all ages and classes range, the preference of the user of different sexes
The sampled data of value constructs.
Optionally, the customer parameter further includes to the resource acquisition behavioral data being applied to；
The step of acquisition resource preference index further include:
According to the resource acquisition behavioral data, the user tag of the target user is determined；
It is calculated according to the identity data and the user tag based on the resource value preference pattern constructed in advance
Obtain the resource value of the corresponding user preference；
Wherein, the resource value preference pattern is based on all ages and classes range, different sexes and different user label
The sampled data of the resource value of the preference of user constructs.
Optionally,
The recommendation condition is the value parameter resource corresponding and described with the resource value of the user preference
Score highest resource unit；
And/or
Described the step of target resource unit is recommended the target user includes:
Resource selection interface is provided, by the resource selection interface, to be different from the displaying of other resource units
Mode shows that the target resource unit is selected for user.
Optionally,
Include multiple candidate resource subclass in the candidate resource set, includes multiple in the candidate resource subclass
The resource unit；
Described the step of target resource unit is recommended the target user includes:
By the resource selection interface, with the displaying for the resource unit being different from other described candidate resource subclass
Mode shows the resource unit for including in the corresponding candidate resource subclass of the target resource unit, for user's choosing
It selects.
According to the second aspect of the invention, a kind of resource recommendation device is provided, wherein include:
Resource scoring unit, for obtaining the Resource Properties of each resource unit in candidate resource set, according to each
The Resource Properties of the resource unit obtain corresponding resource scoring；
Wherein, the Resource Properties include at least resource of the corresponding resource unit in the candidate resource set
Distribution parameter and the value parameter for obtaining the resource unit；
Preference acquiring unit, according to the customer parameter, obtains the target for obtaining the customer parameter of target user
The resource preference index of user；
Wherein, the resource preference index includes at least the resource value of corresponding user preference；
Resource recommendation unit, for choosing the resource that resource scoring meets recommendation condition according to the resource preference index
Unit recommends the target user as target resource unit.
According to the third aspect of the invention we, a kind of electronic equipment is provided, wherein include:
Memory, for storing executable instruction；
Processor runs the electronic equipment and executes as of the invention for the control according to the executable instruction
Any one resource recommendation method described in first aspect.
According to one embodiment of present invention, it is commented by obtaining corresponding resource according to the Resource Properties of each resource unit
Point, the resource preference index of target user is obtained according to the customer parameter of target user, is commented in conjunction with the resource of each resource unit
Divide and target user's resource preference index, selection target resource unit recommend target user, target user can be made a large amount of
For quickly positioning meets the resource unit of self-demand in the resource unit of reservation, shortens the resource selection time of user, drop
The cost of decision making of low user improves the resource acquisition efficiency of user, promotes user experience.It is particularly suitable for including multiple seats
The application scenarios at seat are selected in the large-scale performance venue in region.
By referring to the drawings to the detailed description of exemplary embodiment of the present invention, other feature of the invention and its
Advantage will become apparent.
Detailed description of the invention
It is combined in the description and the attached drawing for constituting part of specification shows the embodiment of the present invention, and even
With its explanation together principle for explaining the present invention.
Fig. 1 is the block diagram for showing the example of hardware configuration for the electronic equipment that can be used for realizing the embodiment of the present invention.
Fig. 2 shows the flow charts of the resource recommendation method of the embodiment of the present invention.
Fig. 3 shows the schematic diagram of the example of the resource unit of the embodiment of the present invention.
Fig. 4 shows the flow chart of the step of resource scoring of each resource unit of acquisition of the embodiment of the present invention.
Fig. 5 shows the flow chart of the step of determination resource scoring of the embodiment of the present invention.
Fig. 6 shows the flow chart of the step of acquisition resource preference index of the embodiment of the present invention.
Fig. 7 shows the schematic diagram of the example of the resource recommendation method of the embodiment of the present invention.
Fig. 8 shows the block diagram using recommendation apparatus of the embodiment of the present invention.
Fig. 9 shows the block diagram of the electronic equipment of the embodiment of the present invention.
Specific embodiment
Carry out the various exemplary embodiments of detailed description of the present invention now with reference to attached drawing.It should also be noted that unless in addition having
Body explanation, the unlimited system of component and the positioned opposite of step, numerical expression and the numerical value otherwise illustrated in these embodiments is originally
The range of invention.
Be to the description only actually of at least one exemplary embodiment below it is illustrative, never as to the present invention
And its application or any restrictions used.
Technology, method and apparatus known to person of ordinary skill in the relevant may be not discussed in detail, but suitable
In the case of, the technology, method and apparatus should be considered as part of specification.
It is shown here and discuss all examples in, any occurrence should be construed as merely illustratively, without
It is as limitation.Therefore, other examples of exemplary embodiment can have different values.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, then in subsequent attached drawing does not need that it is further discussed.
<hardware configuration>
Fig. 1 is the block diagram for showing the hardware configuration for the electronic equipment 1000 that the embodiment of the present invention may be implemented.
Electronic equipment 1000 can be portable computer, desktop computer, mobile phone, tablet computer etc..As shown in Figure 1, electric
Sub- equipment 1000 may include processor 1100, memory 1200, interface arrangement 1300, communication device 1400, display device
1500, input unit 1600, loudspeaker 1700, microphone 1800 etc..Wherein, processor 1100 can be central processing unit
CPU, Micro-processor MCV etc..Memory 1200 is for example including ROM (read-only memory), RAM (random access memory), such as
The nonvolatile memory etc. of hard disk.Interface arrangement 1300 is for example including USB interface, earphone interface etc..Communication device 1400
It is such as able to carry out wired or wireless communication, specifically may include Wifi communication, Bluetooth communication, 2G/3G/4G/5G communication etc..It is aobvious
Showing device 1500 is, for example, liquid crystal display, touch display screen etc..Input unit 1600 for example may include touch screen, keyboard,
Body-sensing input etc..User can pass through 1800 inputting/outputting voice information of loudspeaker 1700 and microphone.
Electronic equipment shown in FIG. 1 is merely illustrative and is in no way intended to the invention, its application, or uses
Any restrictions.Using in an embodiment of the present invention, the memory 1200 of electronic equipment 1000 is for storing instruction, described
Instruction is operated for controlling the processor 1100 to execute any one resource recommendation side provided in an embodiment of the present invention
Method.It will be appreciated by those skilled in the art that although showing multiple devices to electronic equipment 1000 in Fig. 1, the present invention
Partial devices therein can be only related to, for example, electronic equipment 1000 pertains only to processor 1100 and storage device 1200.Technology
Personnel can disclosed conceptual design instruction according to the present invention.How control processor is operated for instruction, this is this field public affairs
Know, therefore is not described in detail herein.
<embodiment>
In the present embodiment, a kind of resource recommendation method is provided.The resource is to be carried out online for user by internet
The application resource of reservation can be provided by resource provider by the corresponding application (such as APP) for providing reservation of resources service.It should
Resource may include the seat of the performance project such as concert, musical drama, modern drama, film, can also include aircraft, train, automobile
The travelling such as the seat of the equal vehicles or hotel room resource etc..
The resource recommendation method, as shown in Figure 2, comprising: step S2100-S2300.
Step S2100 obtains the Resource Properties of each resource unit in candidate resource set, according to each resource
The Resource Properties of unit obtain corresponding resource scoring.
It include multiple resource units in the candidate resource set.Resource unit is to pass through internet online booking for user
Resource units.For example, resource unit can be the seat of some performance project, accordingly, including in candidate resource set should
Performance project for reservation all seats.
It in one example, can also include multiple candidate resource subclass, each candidate resource in candidate resource set
It include multiple resource units in subclass.For example, resource unit can be the seat of some performance project, which is being wrapped
It includes and is performed in the venue of multiple seating areas, accordingly, including in candidate resource set can be with scheduled all seat in the venue
Position, candidate resource set includes candidate resource subclass, and each candidate resource subclass includes in a corresponding seating area
It can be with scheduled all seats.It specifically, can be as shown in Figure 3.
Each resource unit has corresponding Resource Properties.The Resource Properties are the intrinsic categories of corresponding resource unit
Property.In the present embodiment, which includes at least the resource distribution parameter and value ginseng of the corresponding resource unit
Number.
Resource distribution parameter is parameter relevant to the distribution of corresponding resource unit, can be the geography of the resource unit
The Relative distribution parameter of the relevant parameter of position distribution or the resource unit in candidate resource set.For example, resource list
When member is the seat of some performance project, which is included at least in the stage of the opposite performance project in corresponding seat
The coordinate of the heart, as shown in Figure 3.
Value parameter is parameter relevant to the value of corresponding resource unit, can be and obtains resource unit needs pair
Cost out, or obtain available income etc. after the resource unit.For example, resource unit is some performance project
When seat, value parameter includes at least the admission fee at corresponding seat, as shown in Figure 3.
In the present embodiment, to each resource unit, corresponding resource is obtained according to corresponding Resource Properties and is scored,
So that can score in conjunction with resource in subsequent step, chooses target resource unit and recommend user, when avoiding user effort more
Between largely for screening in the resource unit of reservation, reducing the cost of decision making of user, improving the resource acquisition efficiency of user, mention
Rise user experience.
In one example, the step of resource scoring of each resource unit of the acquisition, as shown in figure 4, including step
S2110-S2120。
Step S2110 calculates corresponding resource distance according to corresponding resource distribution parameter to each resource unit.
In this example, corresponding resource distance, the resource distance are calculated according to the resource distribution parameter of each resource unit
The resource distribution characteristic that corresponding resource unit can be embodied, for obtaining corresponding resource scoring.
For example, resource distribution parameter includes at least corresponding seat phase when resource unit is the seat of some performance project
Stage center to performance project is the coordinate of origin, accordingly, can calculate according to the coordinate at the seat and obtain the seat phase
Resource distance for the linear distance at stage center, as the seat.
Taking what is shown in fig. 3 as an example, the seat for 1 row of seat number No. 1, coordinate are (- 2,1), can be calculated corresponding
Resource distance is
Step S2120 determines corresponding resource according to the resource of each resource unit distance and preset reference distance
Scoring.
The reference distance be it is pre-set according to specific application scenarios or application demand, for assessing resource distance
A reference value.For example, when resource unit is the seat of performance project, reference distance be the stage center of the performance project to the end
The average value of the centrical distance of one row seat.Specifically, the performance venue where performance project, it will usually including multiple seating areas
Domain, these seating areas are likely distributed in around multiple floors of stage, multiple directions, can obtain stage center respectively to often
Last row's centrical distance of seat of the seating area in a each direction of floor, it is multiple apart from averaged work by what is obtained
On the basis of distance.
Specifically, it is determined that resource can be as shown in Figure 5 the step of scoring, comprising: step S2121-S2122.
Step S2121 divides the distance range of predetermined number according to reference distance, so that each distance range is only
An one corresponding grading system.
The predetermined number can be arranged according to concrete application scene or application demand.For example, the predetermined number is 10, it is false
Can be 10 distance ranges by D point if reference distance is D: 0-D/10, D/10-2D/10 ..., 9D/10-D, wherein away from
Grading system 1 is corresponded to from range 0-D/10, corresponding resource scoring is 10 points；D/10-2D/10 corresponds to grading system 2, corresponding
Resource scoring is 20 points, and so on, so that each distance range uniquely corresponds to a grading system.
Step S2122 determines corresponding resource scoring according to resource apart from corresponding grading system.
The example for being D based on said reference distance, it is assumed that resource distance is 3D/100, it is corresponding 0-D/10 this apart from model
In enclosing, thus may determine that the scoring of corresponding resource is 10 points.
Step S2200 obtains the customer parameter of target user, according to customer parameter, obtains the resource preference of target user
Index.
Resource preference index is to embody corresponding user to the relevant parameter of the preference of resource acquisition.Resource preference index is extremely
It less include the resource value of corresponding user preference.For example, resource preference index is extremely when resource unit is the seat of performance project
It less include the seat admission fee of corresponding user preference.
Customer parameter is the relevant parameter of user property of corresponding user.
In one example, customer parameter includes at least the identity data of corresponding user.Identity data is the body with user
The relevant data of part, gender and age including at least corresponding user.
Accordingly, the step of acquisition resource preference index includes:
Corresponding user preference is calculated based on the resource value preference pattern constructed in advance according to identity data
Resource value.
The sampling of resource value of the resource value preference pattern based on all ages and classes range, the preference of the user of different sexes
Data building.In this example, resource value preference mould can be constructed using mathematical methods such as similar linear fit, recursive iterations
Type.By resource value preference pattern, it is available embody different sexes all ages and classes range user resource value it is inclined
Good trend function, according to the preference trend function, under the gender and age that calculate corresponding user, the resource valence of user preference
Value.
For example, resource unit is the seat of performance project, according to resource value preference pattern, available gender be male,
The admission fee preference of user of the age between 30-35 years old is 80 yuan, accordingly, is obtained based on the resource value preference pattern inclined
Good trend function, using the age be 33 years old, gender is male as input, the resource value that the preference of user is calculated is 80
Member.
In the above example, customer parameter can also include to the resource acquisition behavioral data being applied to.Resource acquisition row
It is the historical behavior data of the passing resource for obtaining corresponding types of corresponding user for data.For example, resource unit is performance project
Seat when, resource acquisition behavioral data includes the order data of the purchase performance project of corresponding user, including is once bought
Performance item types, seat admission fee, seating area etc..
Accordingly, the step of obtaining resource preference index, as shown in Figure 6, comprising: step S2210-S2220.
Step S2210 determines the user tag of target user according to resource acquisition behavioral data.
User tag is the parameter for embodying user resources and obtaining behavioural habits.For example, resource unit is the seat of performance project
When position, according to the order data of the performance project purchase of corresponding user, statistics obtains user preference purchase concert, first three ranking
It sets, admission fee is between 800-2000 member, available user tag: " concert ", " first three ranking is set ", " VIP ticket ".
Step S2220, according to identity data and user tag, based on the resource value preference pattern constructed in advance, meter
Calculation obtains the resource value of corresponding user preference.
Wherein, user of the resource value preference pattern based on all ages and classes range, different sexes and different user label
Preference resource value sampled data building.It in this example, can be using mathematics sides such as similar linear fit, recursive iterations
Method constructs resource value preference pattern.By resource value preference pattern, available embodiment different sexes, all ages and classes model
It encloses, the preference trend function of the resource value of the user of different user label, according to the preference trend function, with corresponding user
Gender, the age, user tag as input parameter, the resource value of user preference is calculated.
In step S2200, according to the customer parameter of target user, the resource preference index of target user is obtained, it can be with
It based on the resource preference index, scores in conjunction with the resource of the resource unit in candidate resource set, chooses target resource unit and push away
Recommend avoided user effort more time to user the decision for largely for screening in the resource unit of reservation, reducing user at
This, improves the resource acquisition efficiency of user, promotes user experience.
Step S2300 chooses resource scoring and meets the resource unit of recommendation condition as target according to resource preference index
Resource unit recommends target user.
Recommendation condition is the condition that is recommended to the resource unit of target user and should meet, can be according to specific applied field
Scape or application demand setting.
In one example, recommendation condition is that value parameter is corresponding with the resource value of the user preference and provide
Score highest resource unit in source.The resource unit for meeting the recommendation condition can recommend target use as target recommendation list member
Family.
For example, when resource unit is the seat of performance project, it is assumed that the seat of the performance project is distributed in two seating areas
Domain, seat admission fee includes 200 yuan, 100 yuan, 80 yuan of third gear, the money at the seat obtained in step S2100 in each seating area
Source scoring are as follows:
Region 1:(100 member: 50 points；200 yuan: 30 points；80 yuan: 45 points)；
Region 2:(100 member: 35 points；200 yuan: 20 points；80 yuan: 40 points)；
Assuming that the seat admission fee of the target user's preference obtained in step S2200 is 100 yuan, it accordingly, can be by region 1
Middle admission fee is that target user is recommended at 100 yuan of seat.
In the present embodiment, the step of target resource unit being recommended the target user include:
Resource selection interface is provided, by resource selection interface, to be different from the exhibition method of other resource units, is shown
Target resource unit is selected for user.
The resource selection interface is to can receive user's click, sliding, input etc. to operate and give response, realize and use
The human-computer interaction interface of family interaction, user can operate the resource unit of the resource selection showing interface, be somebody's turn to do with obtaining
Resource unit.
In the present embodiment, with distinguish with the exhibition methods of other resource units, such as be highlighted, protrude color and show
Equal exhibition methods, show target resource unit, and user can be made without searching, target resource unit can be quickly determined, into one
Step reduces the cost of decision making of user, improves the resource acquisition efficiency of user, promotes user experience.
It in the above example, can also include multiple candidate resource subclass, candidate resource subset in candidate resource set
It include multiple resource units in conjunction.
Accordingly, the step of target resource unit being recommended target user include:
By resource selection interface, with the exhibition method for the resource unit being different from other candidate resource subclass, exhibition
Show the resource unit for including in the corresponding candidate resource subclass of target resource unit, for selection by the user.
For example, the performance project is including multiple as shown in figure 3, resource unit can be the seat of some performance project
It is performed in the venue of seating area, accordingly, in candidate resource set including can be candidate with scheduled all seats in the venue
Resource collection includes candidate resource subclass, and each candidate resource subclass includes that can make a reservation in a corresponding seating area
All seats.Accordingly, can by resource selection interface, to be different from the exhibition method of other seating areas, for example,
Such as be highlighted, protrude color and the exhibition methods such as show, the seating area where the targeted seat of recommendation is shown, so that handy
Family can quickly determine the seating area, and the seat for meeting demand is chosen from the seating area.
<example>
The resource recommendation method provided in the present embodiment is further illustrated below with reference to Fig. 7 citing.
In this example, resource unit is the seat of performance project.It include the field that performance project is performed in candidate resource set
For all seats of reservation in shop.The venue includes multiple seating areas.For reservation included by each seating area
Seat constitutes a candidate resource subclass.
The resource recommendation method, comprising: step S201-S207.
Step S201, response target user's operation, shows seat selection interface.
The seat selection interface, which is used to show, to be selected for the seat distribution of reservation for user, including multiple alternative
Seating area includes multiple alternative seats in each seating area.
Step S202 shows the targeted seat region for recommending target user by seat selection interface.
In this example, according to method as shown in Figure 2, the targeted seat region for recommending target user is obtained, at seat
It is highlighted in selection region, shows target user.
Step S203, whether monitoring objective seating area receives the selection seat operation of target user, if received
The selection seat of target user operates, and enters step S204, otherwise enters step S205.
Step S204 shows purchase seat interface, buys the seat so that user's operation places an order, and implements operation in user
After enter step S206.
Step S205 prompts user to select seat from other seating areas, enters step after user selects seat
S204。
Step S206, judges whether the seat of user's purchase clashes, and in case of conflicting, goes back to step S202, no
Then, S207 is entered step.
Step S207 prompts user seat to buy successfully.
According to the resource recommendation method in this example, the seating area for meeting its demand can be recommended, for user so as to user
It can be selected largely in the seat of reservation, quickly navigating to the seat for meeting self-demand, save the selection of user
Time reduces the cost of decision making of user, improves the efficiency of seat purchase, promotes the ticket service experience of user.Meanwhile it avoiding using
Family selection overlong time leads to selection conflict between user, to offer resource when reducing the interface of user's repetition load predetermined resource
The system of booking service brings flow attack.It is particularly suitable for selecting seat in the large-scale performance venue for including multiple seating areas
The application scenarios of position.
<applying recommendation apparatus>
In the present embodiment, a kind of resource recommendation device 3000 is also provided, as shown in Figure 8, comprising: resource scoring unit
3100, preference acquiring unit 3200 and resource recommendation unit 3300, the resource recommendation side for implementing to provide in the present embodiment
Method, details are not described herein.
Resource scoring unit 3100, for obtaining the Resource Properties of each resource unit in candidate resource set, according to
The Resource Properties of each resource unit obtain corresponding resource scoring；
Wherein, the Resource Properties include at least resource of the corresponding resource unit in the candidate resource set
Distribution parameter and the value parameter for obtaining the resource unit.
Optionally, resource scoring unit 3100 is also used to:
Corresponding resource distance is calculated according to the corresponding resource distribution parameter to each resource unit；
According to the resource of each resource unit distance and preset reference distance, determine that the corresponding resource is commented
Point.
Optionally, resource scoring unit 3100 is also used to:
According to the reference distance, the distance range of predetermined number is divided, so that each distance range uniquely corresponds to
One grading system；
According to the resource apart from the corresponding grading system, the corresponding resource scoring is determined.
Optionally, the resource unit is the seat of performance project；
The resource distribution parameter include at least corresponding seat with respect to the performance project stage center for origin seat
Mark；
The resource distance is the linear distance at the relatively described stage center in corresponding seat；
The reference distance is average value of the stage center to the centrical distance of last row seat.
Preference acquiring unit 3200, for obtaining the customer parameter of target user, according to the customer parameter, described in acquisition
The resource preference index of target user；
Wherein, the resource preference index includes at least the resource value of corresponding user preference.
Optionally,
The customer parameter includes at least the identity data of corresponding user, and the identity data includes at least corresponding user
Gender and the age；
The preference acquiring unit 3200 is also used to:
The corresponding use is calculated based on the resource value preference pattern constructed in advance according to the identity data
The resource value of family preference；
Wherein, resource of the resource value preference pattern based on all ages and classes range, the preference of the user of different sexes
The sampled data of value constructs.
Optionally, the customer parameter further includes to the resource acquisition behavioral data being applied to；
The preference acquiring unit 3200 is also used to:
According to the resource acquisition behavioral data, the user tag of the target user is determined；
It is calculated according to the identity data and the user tag based on the resource value preference pattern constructed in advance
Obtain the resource value of the corresponding user preference；
Wherein, the resource value preference pattern is based on all ages and classes range, different sexes and different user label
The sampled data of the resource value of the preference of user constructs.
Resource recommendation unit 3300, for choosing resource scoring and meeting recommendation condition according to the resource preference index
Resource unit recommends the target user as target resource unit.
Optionally, the recommendation condition be the value parameter it is corresponding with the resource value of the user preference and
The highest resource unit of the resource scoring.
Optionally, resource recommendation unit 3300 is also used to:
Resource selection interface is provided, by the resource selection interface, to be different from the displaying of other resource units
Mode shows that the target resource unit is selected for user.
It optionally, include multiple candidate resource subclass in the candidate resource set, in the candidate resource subclass
Including multiple resource units；
Resource recommendation unit 3300 is also used to:
By the resource selection interface, with the displaying for the resource unit being different from other described candidate resource subclass
Mode shows the resource unit for including in the corresponding candidate resource subclass of the target resource unit, for user's choosing
It selects.
In the present embodiment, resource recommendation device 3000 can have a variety of forms of implementation, for example, resource recommendation device
3000 can be to provide the software application of reservation of resources service, be also possible to the software that installation is provided with reservation of resources service
The electronic equipment of application program, such as mobile phone etc..
It will be appreciated by those skilled in the art that resource recommendation device 3000 can be realized by various modes.For example, can
To realize resource recommendation device 3000 by instruction configuration processor.For example, instruction can be stored in the ROM, and work as
When starting device, instruction is read in programming device from ROM and realizes resource recommendation device 3000.For example, can will provide
Source recommendation apparatus 3000 is cured in dedicated devices (such as ASIC).Resource recommendation device 3000 can be divided into mutually independent
Unit, or they can be merged to realization.Resource recommendation device 3000 can be by above-mentioned various implementations
One kind realize, or can be realized by the combination of two or more modes in above-mentioned various implementations.
<electronic equipment>
In the present embodiment, a kind of electronic equipment 4000 is also provided, as shown in Figure 9, comprising:
Memory 4100, for storing executable instruction；
Processor 4200 runs the electronic equipment and executes such as this reality for the control according to the executable instruction
Any one resource recommendation method provided in example is provided.
In the present embodiment, electronic equipment 4000 can be the electronic equipments such as mobile phone, palm PC, tablet computer.Electronics
Equipment 4000 can also include other devices, for example, electronic equipment 1000 that can be as shown in Figure 1.
In one example, electronic equipment 4000 can install the application for being provided with online booking performance project seat service
The mobile phone of program.
Attached drawing is had been combined above and describes the embodiment of the present invention, according to the present embodiment, provides a kind of resource recommendation side
Method, device and electronic equipment are scored by obtaining corresponding resource according to the Resource Properties of each resource unit, are used according to target
The customer parameter at family obtains the resource preference index of target user, in conjunction with the resource scoring and target user's money of each resource unit
Source preference index chooses target resource unit and recommends target user, can make target user largely for the resource of reservation
Quickly positioning meets the resource unit of self-demand in unit, shortens the resource selection time of user, reduce the decision of user at
This, improves the resource acquisition efficiency of user, promotes user experience.It is particularly suitable for including the large-scale performance of multiple seating areas
The application scenarios at seat are selected in venue.
The present invention can be system, method and/or computer program product.Computer program product may include computer
Readable storage medium storing program for executing, containing for making processor realize the computer-readable program instructions of various aspects of the invention.
Computer readable storage medium, which can be, can keep and store the tangible of the instruction used by instruction execution equipment
Equipment.Computer readable storage medium for example can be-- but it is not limited to-- storage device electric, magnetic storage apparatus, optical storage
Equipment, electric magnetic storage apparatus, semiconductor memory apparatus or above-mentioned any appropriate combination.Computer readable storage medium
More specific example (non exhaustive list) includes: portable computer diskette, hard disk, random access memory (RAM), read-only deposits
It is reservoir (ROM), erasable programmable read only memory (EPROM or flash memory), static random access memory (SRAM), portable
Compact disk read-only memory (CD-ROM), digital versatile disc (DVD), memory stick, floppy disk, mechanical coding equipment, for example thereon
It is stored with punch card or groove internal projection structure and the above-mentioned any appropriate combination of instruction.Calculating used herein above
Machine readable storage medium storing program for executing is not interpreted that instantaneous signal itself, the electromagnetic wave of such as radio wave or other Free propagations lead to
It crosses the electromagnetic wave (for example, the light pulse for passing through fiber optic cables) of waveguide or the propagation of other transmission mediums or is transmitted by electric wire
Electric signal.
Computer-readable program instructions as described herein can be downloaded to from computer readable storage medium it is each calculate/
Processing equipment, or outer computer or outer is downloaded to by network, such as internet, local area network, wide area network and/or wireless network
Portion stores equipment.Network may include copper transmission cable, optical fiber transmission, wireless transmission, router, firewall, interchanger, gateway
Computer and/or Edge Server.Adapter or network interface in each calculating/processing equipment are received from network to be counted
Calculation machine readable program instructions, and the computer-readable program instructions are forwarded, for the meter being stored in each calculating/processing equipment
In calculation machine readable storage medium storing program for executing.
Computer program instructions for executing operation of the present invention can be assembly instruction, instruction set architecture (ISA) instructs,
Machine instruction, machine-dependent instructions, microcode, firmware instructions, condition setup data or with one or more programming languages
The source code or object code that any combination is write, the programming language include the programming language-of object-oriented such as
Smalltalk, C++ etc., and conventional procedural programming languages-such as " C " language or similar programming language.Computer
Readable program instructions can be executed fully on the user computer, partly execute on the user computer, be only as one
Vertical software package executes, part executes on the remote computer or completely in remote computer on the user computer for part
Or it is executed on server.In situations involving remote computers, remote computer can pass through network-packet of any kind
It includes local area network (LAN) or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as benefit
It is connected with ISP by internet).In some embodiments, by utilizing computer-readable program instructions
Status information carry out personalized customization electronic circuit, such as programmable logic circuit, field programmable gate array (FPGA) or can
Programmed logic array (PLA) (PLA), the electronic circuit can execute computer-readable program instructions, to realize each side of the invention
Face.
Referring herein to according to the method for the embodiment of the present invention, the flow chart of device (system) and computer program product and/
Or block diagram describes various aspects of the invention.It should be appreciated that flowchart and or block diagram each box and flow chart and/
Or in block diagram each box combination, can be realized by computer-readable program instructions.
These computer-readable program instructions can be supplied to general purpose computer, special purpose computer or other programmable datas
The processor of processing unit, so that a kind of machine is produced, so that these instructions are passing through computer or other programmable datas
When the processor of processing unit executes, function specified in one or more boxes in implementation flow chart and/or block diagram is produced
The device of energy/movement.These computer-readable program instructions can also be stored in a computer-readable storage medium, these refer to
It enables so that computer, programmable data processing unit and/or other equipment work in a specific way, thus, it is stored with instruction
Computer-readable medium then includes a manufacture comprising in one or more boxes in implementation flow chart and/or block diagram
The instruction of the various aspects of defined function action.
Computer-readable program instructions can also be loaded into computer, other programmable data processing units or other
In equipment, so that series of operation steps are executed in computer, other programmable data processing units or other equipment, to produce
Raw computer implemented process, so that executed in computer, other programmable data processing units or other equipment
Instruct function action specified in one or more boxes in implementation flow chart and/or block diagram.
The flow chart and block diagram in the drawings show the system of multiple embodiments according to the present invention, method and computer journeys
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
One module of table, program segment or a part of instruction, the module, program segment or a part of instruction include one or more use
The executable instruction of the logic function as defined in realizing.In some implementations as replacements, function marked in the box
It can occur in a different order than that indicated in the drawings.For example, two continuous boxes can actually be held substantially in parallel
Row, they can also be executed in the opposite order sometimes, and this depends on the function involved.It is also noted that block diagram and/or
The combination of each box in flow chart and the box in block diagram and or flow chart, can the function as defined in executing or dynamic
The dedicated hardware based system made is realized, or can be realized using a combination of dedicated hardware and computer instructions.It is right
For those skilled in the art it is well known that, by hardware mode realize, by software mode realize and pass through software and
It is all of equal value that the mode of combination of hardware, which is realized,.
Various embodiments of the present invention are described above, above description is exemplary, and non-exclusive, and
It is not limited to disclosed each embodiment.Without departing from the scope and spirit of illustrated each embodiment, for this skill
Many modifications and changes are obvious for the those of ordinary skill in art field.The selection of term used herein, purport
In principle, the practical application or to the technological improvement in market for best explaining each embodiment, or make the art its
Its those of ordinary skill can understand each embodiment disclosed herein.The scope of the present invention is defined by the appended claims.
Claims (10)
1. a kind of resource recommendation method, wherein include:
The Resource Properties for obtaining each resource unit in candidate resource set, according to the resource category of each resource unit
Property, obtain corresponding resource scoring；
Wherein, the Resource Properties include at least the resource distribution parameter and value parameter of the corresponding resource unit；
The customer parameter for obtaining target user obtains the resource preference index of the target user according to the customer parameter；
Wherein, the resource preference index includes at least the resource value of corresponding user preference；
According to the resource preference index, chooses resource scoring and meets the resource unit of recommendation condition as target resource unit,
Recommend the target user.
2. according to the method described in claim 1, wherein, the step of resource scoring for obtaining each resource unit, includes:
Corresponding resource distance is calculated according to the corresponding resource distribution parameter to each resource unit；
According to the resource of each resource unit distance and preset reference distance, the corresponding resource scoring is determined.
3. according to the method described in claim 2, wherein, the step of determining resource scores, includes:
According to the reference distance, the distance range of predetermined number is divided, so that each distance range uniquely corresponds to one
Grading system；
According to the resource apart from the corresponding grading system, the corresponding resource scoring is determined.
4. according to the method described in claim 2, wherein,
The resource unit is the seat of performance project；
The resource distribution parameter include at least corresponding seat with respect to the performance project stage center for origin coordinate；
The resource distance is the linear distance at the relatively described stage center in corresponding seat；
The reference distance is average value of the stage center to the centrical distance of last row seat.
5. according to the method described in claim 1, wherein,
The customer parameter includes at least the identity data of corresponding user, and the identity data includes at least the property of corresponding user
The other and age；
The step of acquisition resource preference index includes:
It is inclined to be calculated based on the resource value preference pattern constructed in advance by the corresponding user according to the identity data
Good resource value；
Wherein, resource value of the resource value preference pattern based on all ages and classes range, the preference of the user of different sexes
Sampled data building.
6. according to the method described in claim 5, wherein,
The customer parameter further includes to the resource acquisition behavioral data being applied to；
The step of acquisition resource preference index further include:
According to the resource acquisition behavioral data, the user tag of the target user is determined；
It is calculated according to the identity data and the user tag based on the resource value preference pattern constructed in advance
The resource value of the corresponding user preference；
Wherein, user of the resource value preference pattern based on all ages and classes range, different sexes and different user label
Preference resource value sampled data building.
7. according to the method described in claim 1, wherein,
The recommendation condition is the value parameter resource scoring corresponding and described with the resource value of the user preference
Highest resource unit；
And/or
Described the step of target resource unit is recommended the target user includes:
Resource selection interface is provided, by the resource selection interface, to be different from the exhibition method of other resource units,
Show that the target resource unit is selected for user.
8. according to the method described in claim 7, wherein,
Include multiple candidate resource subclass in the candidate resource set, includes multiple described in the candidate resource subclass
Resource unit；
Described the step of target resource unit is recommended the target user includes:
By the resource selection interface, with the displaying side for the resource unit being different from other described candidate resource subclass
Formula shows the resource unit for including in the corresponding candidate resource subclass of the target resource unit, for selection by the user.
9. a kind of resource recommendation device, wherein include:
Resource scoring unit, for obtaining the Resource Properties of each resource unit in candidate resource set, according to each described
The Resource Properties of resource unit obtain corresponding resource scoring；
Wherein, the Resource Properties include at least resource distribution of the corresponding resource unit in the candidate resource set
Parameter and the value parameter for obtaining the resource unit；
Preference acquiring unit, according to the customer parameter, obtains the target user for obtaining the customer parameter of target user
Resource preference index；
Wherein, the resource preference index includes at least the resource value of corresponding user preference；
Resource recommendation unit, for choosing the resource unit that resource scoring meets recommendation condition according to the resource preference index
As target resource unit, the target user is recommended.
10. a kind of electronic equipment, wherein include:
Memory, for storing executable instruction；
Processor runs the electronic equipment and executes such as claim 1-8 institute for the control according to the executable instruction
Any one resource recommendation method stated.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201810272446.8A CN110322029A (en) | 2018-03-29 | 2018-03-29 | Resource recommendation method, device and electronic equipment |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810272446.8A CN110322029A (en) | 2018-03-29 | 2018-03-29 | Resource recommendation method, device and electronic equipment |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111722766A (en) * | 2020-06-04 | 2020-09-29 | 北京达佳互联信息技术有限公司 | Multimedia resource display method and device |
| CN111858517A (en) * | 2020-06-28 | 2020-10-30 | 北京百度网讯科技有限公司 | Method, apparatus, device and computer storage medium for determining resource value attributes |
| CN113379514A (en) * | 2021-01-28 | 2021-09-10 | 北京沃东天骏信息技术有限公司 | Information recommendation method and device, electronic equipment and medium |
| CN114139049A (en) * | 2021-11-19 | 2022-03-04 | 北京三快在线科技有限公司 | Resource recommendation method and device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103593781A (en) * | 2012-08-16 | 2014-02-19 | 郑鑫 | Method for comparing and ranking cost performance of same-kind non-homogeneous commodities |
| CN104915742A (en) * | 2014-03-12 | 2015-09-16 | 株式会社理光 | User preference-based resource allocation method and apparatus |
| CN105474246A (en) * | 2013-07-31 | 2016-04-06 | 索尼公司 | Information processing device, information processing method, and program |
| CN105989056A (en) * | 2015-02-06 | 2016-10-05 | 北京中搜网络技术股份有限公司 | Chinese news recommending system |
| CN106919657A (en) * | 2017-02-07 | 2017-07-04 | 上海斐讯数据通信技术有限公司 | The method and device at seat is elected in a kind of online check-in automatically |
| CN107180269A (en) * | 2017-05-27 | 2017-09-19 | 维沃移动通信有限公司 | Recommend method and terminal device in a kind of seat |
-
2018
- 2018-03-29 CN CN201810272446.8A patent/CN110322029A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103593781A (en) * | 2012-08-16 | 2014-02-19 | 郑鑫 | Method for comparing and ranking cost performance of same-kind non-homogeneous commodities |
| CN105474246A (en) * | 2013-07-31 | 2016-04-06 | 索尼公司 | Information processing device, information processing method, and program |
| CN104915742A (en) * | 2014-03-12 | 2015-09-16 | 株式会社理光 | User preference-based resource allocation method and apparatus |
| CN105989056A (en) * | 2015-02-06 | 2016-10-05 | 北京中搜网络技术股份有限公司 | Chinese news recommending system |
| CN106919657A (en) * | 2017-02-07 | 2017-07-04 | 上海斐讯数据通信技术有限公司 | The method and device at seat is elected in a kind of online check-in automatically |
| CN107180269A (en) * | 2017-05-27 | 2017-09-19 | 维沃移动通信有限公司 | Recommend method and terminal device in a kind of seat |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111722766A (en) * | 2020-06-04 | 2020-09-29 | 北京达佳互联信息技术有限公司 | Multimedia resource display method and device |
| CN111858517A (en) * | 2020-06-28 | 2020-10-30 | 北京百度网讯科技有限公司 | Method, apparatus, device and computer storage medium for determining resource value attributes |
| CN113379514A (en) * | 2021-01-28 | 2021-09-10 | 北京沃东天骏信息技术有限公司 | Information recommendation method and device, electronic equipment and medium |
| CN114139049A (en) * | 2021-11-19 | 2022-03-04 | 北京三快在线科技有限公司 | Resource recommendation method and device |
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Application publication date: 20191011 |