CN109189817A - Recommended generation method, device, equipment and medium - Google Patents

Recommended generation method, device, equipment and medium Download PDF

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Publication number
CN109189817A
CN109189817A CN201810952736.7A CN201810952736A CN109189817A CN 109189817 A CN109189817 A CN 109189817A CN 201810952736 A CN201810952736 A CN 201810952736A CN 109189817 A CN109189817 A CN 109189817A
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China
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primary election
attribute information
reply
information
objects
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CN201810952736.7A
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刘成宇
王国彬
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Shenzhen Bincent Technology Co Ltd
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Shenzhen Bincent Technology Co Ltd
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Priority to CN201810952736.7A priority Critical patent/CN109189817A/en
Publication of CN109189817A publication Critical patent/CN109189817A/en
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Abstract

Recommended generation method, device, equipment and medium provided by the invention, belong to technical field of data processing.This method comprises: the request for obtaining the request process object of user deals with objects attribute information;Object is coped with according to the primary election of the request process object attribute information and the first attribute information generation for coping with object;Primary election reply object is ranked up according to the second attribute information that object is coped in the primary election, multiple recommendations is generated from primary election reply object and copes with object.So coping with object for compared with the prior art by the primary election of generation, being resequenced according to the second attribute information, the multiple recommendations of object generation are coped with from primary election and cope with objects, to realize consideration comprehensively, the fast and accurate satisfactory service side of recommendation.

Description

Recommended generation method, device, equipment and medium
Technical field
The present invention relates to technical field of data processing, in particular to recommended generation method, device, equipment and Medium.
Background technique
Team is either fitted up by more and more decoration companies at present, and when user needs to fit up, user is generally Can first look on the net, however much service commercial city be to see that user has demand just to go to connect, will not effective family location, thus Cause when being fitted up in the later period, since distance problem is brought great inconvenience to users, even warp of the user to service provider Whether battalion's situation is good at that certain special finishings are all unclear, and then will lead to the finishing effect that user cannot want, into One step brings great inconvenience to user.
Summary of the invention
Recommended generation method, device, equipment and medium provided in an embodiment of the present invention, can solve above-mentioned technology Problem.
In a first aspect, a kind of recommended generation method provided in an embodiment of the present invention, comprising: obtain at the request of user The request for managing object deals with objects attribute information;According to the request process object attribute information and the first attribute of reply object Information generates primary election and copes with object;According to the primary election should the second attribute information to object the primary election should carry out object Sequence generates multiple recommendations from primary election reply object and copes with object.
With reference to first aspect, a kind of embodiment of first aspect, it is described that the second of object is coped with according to the primary election Attribute information is ranked up primary election reply object, generates multiple recommendations from primary election reply object and copes with object, packet It includes: obtaining total matching score corresponding to the second attribute information of each primary election reply object;According to each primary election Total matching score corresponding to reply object determines the serial number of each primary election reply object;Preset requirement will be met Multiple serial numbers corresponding to primary election reply object as recommending reply object.
With reference to first aspect, in the another embodiment of first aspect, described dealt with objects according to the request belongs to Property information and cope with object the first attribute information generate primary election cope with object, comprising: search database in and at the request Manage object properties information institute it is matched it is all cope with objects the first attribute informations;Primary election is determined according to first attribute information Cope with object.
With reference to first aspect, in the another embodiment of first aspect, the second of object is being coped with according to the primary election Attribute information is ranked up primary election reply object, from primary election reply object generate multiple recommendation cope with objects it Afterwards, further includes: multiple recommendations should be handled object, so that multiple third attribute letters for recommending reply object Manner of breathing is same.
With reference to first aspect, in the another embodiment of first aspect, further includes: according to multiple recommendation replies pair As generating recommendation information;The recommendation information is sent to the user terminal.
Second aspect, a kind of recommended generating means provided in an embodiment of the present invention, comprising: data capture unit is used Attribute information is dealt with objects in the request for the request process object for obtaining user;First processing module, for according to the request It deals with objects attribute information and copes with the first attribute information generation primary election reply object of object;Second processing module is used for root Primary election reply object is ranked up according to the second attribute information of primary election reply object, copes with object from the primary election Generate multiple recommendation reply objects.
With reference to first aspect, a kind of embodiment of first aspect, the Second processing module are also used to: obtaining each institute State total matching score corresponding to the second attribute information of primary election reply object;According to corresponding to each primary election reply object Total matching score determine the serial number of each primary election reply object;Multiple sequences of preset requirement will be met Primary election reply object corresponding to number is as recommendation reply object.
With reference to first aspect, the another embodiment of first aspect further includes after the Second processing module Three processing modules;The third processing module is for that should handle object multiple recommendations, so that pushing away described in multiple The third attribute information for recommending reply object is identical.
The third aspect, a kind of terminal device provided in an embodiment of the present invention, comprising: memory, processor and be stored in In the memory and the computer program that can run on the processor, when the processor executes the computer program It realizes such as the step of any one of first aspect the method.
Fourth aspect, a kind of storage medium provided in an embodiment of the present invention are stored with instruction on the storage medium, work as institute Instruction is stated when running on computers, so that the computer executes such as the described in any item methods of first aspect.
Compared with prior art, recommended generation method provided in an embodiment of the present invention, device, equipment and medium are beneficial Effect is: the request by obtaining the request process object of user deals with objects attribute information;It is dealt with objects according to the request Attribute information and the first attribute information for coping with object generate primary election and cope with object;Cope with object according to the primary election second belongs to Property information primary election reply object is ranked up, generate multiple recommendation reply objects from primary election reply object.So For compared with the prior art, object is coped with by generating primary election, is resequenced according to the second attribute information, copes with object from primary election Multiple recommendation reply objects are generated, to realize consideration comprehensively, the fast and accurate satisfactory service side of recommendation.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate Appended attached drawing, is described in detail below.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the flow chart for the recommended generation method that first embodiment of the invention provides;
Fig. 2 is the functional block diagram for the recommended generating means that second embodiment of the invention provides;
Fig. 3 is a kind of schematic diagram for terminal device that third embodiment of the invention provides.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.Therefore, The model of claimed invention is not intended to limit to the detailed description of the embodiment of the present invention provided in the accompanying drawings below It encloses, but is merely representative of selected embodiment of the invention.Based on the embodiments of the present invention, those of ordinary skill in the art are not having Every other embodiment obtained under the premise of creative work is made, shall fall within the protection scope of the present invention.
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, does not then need that it is further defined and explained in subsequent attached drawing.Meanwhile of the invention In description, term " first ", " second " etc. are only used for distinguishing description, are not understood to indicate or imply relative importance.
With reference to the accompanying drawing, it elaborates to some embodiments of the present invention.In the absence of conflict, following Feature in embodiment and embodiment can be combined with each other.
First embodiment
Referring to Fig. 1, being the flow chart of recommended generation method provided in an embodiment of the present invention.It below will be to Fig. 1 institute The detailed process shown is described in detail.
Step S101 obtains the request process object attribute information of the request process object of user.
Request process object attribute information includes but is not limited to area, finishing type, decoration requirements information etc..
Wherein, may be used also for example, the house can be house in the house that request process object is fitted up for the needs of user To be office space either place of business etc..
It is alternatively possible to deal with objects attribute information by the request that network obtains the request process object of user's input.
It is alternatively possible to deal with objects attribute by the request that the consultation information of user obtains the request process object of user Information.The consultation information either offline consultation information seeked advice from such as inputted by user on the net.
Step S102 generates primary election according to the request process object attribute information and the first attribute information for coping with object Cope with object.
Optionally, reply object is that can be finishing enterprise either decoration company or individual.
Wherein, the first attribute information can be but not limited to location information, the service type information, dress of reply object Repair price, industry favorable comment information etc..
As a kind of possible embodiment, step S102 includes: and searches to deal with objects in database with the request to belong to Property information it is matched it is all reply objects the first attribute informations;Primary election reply pair is determined according to first attribute information As.
Meet user by the first attribute information acquisition of the request process object attribute information and all reply objects It is required that all primary election cope with objects.
Wherein, the first attribute information of multiple reply objects and each reply object is previously stored in database.
Step S103, according to the primary election should the second attribute information to object the primary election should arrange object Sequence generates multiple recommendations from primary election reply object and copes with object.
As a kind of possible embodiment, step S103 includes: and obtains the second of each primary election reply object to belong to Total matching score corresponding to property information;It is determined according to total matching score corresponding to each primary election reply object every The serial number of a primary election reply object;The primary election reply corresponding to multiple serial numbers of preset requirement will be met Object is as recommendation reply object.
Optionally, the second attribute information includes regional subscription information, area section signing information, range information, favorable comment information With promise amount information, total matching score corresponding to the second attribute information of each primary election reply object is obtained, comprising: point The regional subscription information corresponding first the matching score, the area section label in each primary election reply object are not determined The about corresponding third matching score of information corresponding second matching score, the range information, the favorable comment information corresponding the The product of four matching scores and the corresponding 5th matching score of the promise amount information, using the product as total matching score.
Optionally, corresponding first matching of the regional subscription information in each primary election reply object is determined respectively It is the corresponding third matching score of score, the area section signing information corresponding second matching score, the range information, described The product of the corresponding 4th matching score of favorable comment information and the corresponding 5th matching score of the promise amount information, comprising: according to The corresponding regional subscription rate of regional subscription information, maximum value, minimum value and assignment lower limit determine the first matching score;According to area The corresponding area section sign-on rate of section signing information, maximum value, minimum value and assignment lower limit determine the second matching score;According to distance The corresponding distance of information, maximum value, minimum value and assignment lower limit determine that third matches score;According to the corresponding favorable comment of favorable comment information Rate, maximum value, minimum value and assignment lower limit determine the 4th matching score;According to the corresponding promise amount of promise amount information, maximum value, Minimum value and assignment lower limit determine the 5th matching score;Determine the first matching score, second matching score, third matching score, The product of 4th matching score and the 5th matching score.
Optionally, the first matching score, the second matching score, third matching score, the 4th matching score and the 5th matching Score is all satisfied:
f(Xa)=(Xa-MINa)÷(MAXa-MINa)×(10-Ra)+Ra
Wherein, if a indicates regional subscription information, XaIndicate regional subscription rate, f (Xa) indicate the first matching score;If a When indicating area section signing information, XaIndicate area section sign-on rate, f (Xa) indicate the second matching score;If a indicates range information When, XaIt indicates apart from rate, f (Xa) indicate that third matches score;If a indicates favorable comment information, XaIndicate positive rating, f (Xa) indicate 4th matching score;If a indicates promise amount information, XaIndicate promise amount, f (Xa) indicate the 5th matching score.
Wherein, MAX indicates maximum value, and MIN indicates minimum value, and R indicates assignment lower limit.
As an example it is assumed that the corresponding regional subscription rate of regional subscription information, maximum value, minimum value and the assignment of A dress enterprise Lower limit is respectively as follows: Xa=5%, MAXa=15%, MINa=0%, Ra=2, then first match score f (Xa)=(5%-0%) ÷ (15%-0%) × (10-2)+2=4.67.Assuming that the corresponding area section sign-on rate of area section signing information, the maximum of A dress enterprise Value, minimum value and assignment lower limit are respectively as follows: Xa=5%, MAXa=15%, MINa=0%, Ra=2, then second match score f (Xa)=(5%-0%) ÷ (15%-0%) × (10-2)+2=4.67.Assuming that the corresponding distance of range information of A dress enterprise, Maximum value, minimum value and assignment lower limit are respectively as follows: Xa=7, MAXa=2, MINa=10, Ra=6, then third matches score f (Xa) =(7-10) ÷ (2-10) × (10-6)+6=7.5.Assuming that the corresponding positive rating of favorable comment information, the maximum value, minimum of A dress enterprise Value and assignment lower limit limit are respectively as follows: Xa=100%, MAXa=100%, MINa=80%, Ra=8, then the 4th match score f (Xa) =(100%-80%) ÷ (100%-80%) × (10-8)+8=10.Assuming that the corresponding promise of promise amount information of A dress enterprise Amount, maximum value, minimum value and assignment lower limit are respectively as follows: Xa=0%, MAXa=0%, MINa=80%, Ra=4, then the 5th matching Score f (Xa)=(0%-80%) ÷ (0%-80%) × (10-4)+4=10.Then always matching score=first matches score × the second matching score × third matching score × the 4th matching score × the 5th matching score.
Optionally, total matching score according to corresponding to each primary election reply object determines each primary election Cope with the serial number of object, comprising: the size of total matching score according to corresponding to each primary election reply object is pressed It is ranked up according to descending, determines serial number corresponding to each of sequence primary election reply object.For example, it is assumed that having Objects, respectively A, B, C are coped in 3 primary election, it is assumed that A > B > C, the then sequence after sorting are A, B, C, then the corresponding serial number of A It is the corresponding serial number of 2, C for the corresponding serial number of 1, B is 3.
Optionally, using the reply object of the primary election corresponding to the multiple serial numbers for meeting preset requirement as recommendation Cope with object, comprising: primary election corresponding to the serial number from multiple serial numbers according to sequencing selection preset quantity Object is coped with as recommendation reply object.
Optionally, the preset quantity can be 3, can also be the integer greater than 3.
Preferably, the preset quantity is more than or equal to 3, makes recommendation results.
For example, it is assumed that multiple serial numbers are respectively 1,2,3,4,5, preset quantity 3, then in sequence number successive Primary election corresponding to sequential selection 3 serial numbers therein copes with object as reply object is recommended, then recommends to cope with object point Not Wei serial number be respectively primary election corresponding to 1,2,3 cope with object.
Wherein, recommendation reply object is for recommending user, with for reference or compare.
As another embodiment, second attribute information is bid price, and step S103 includes: according to described first The height of the bid price of choosing reply object is ranked up primary election reply object, generates from primary election reply object more Object is coped in a recommendation.
Optionally, primary election reply object is ranked up from low to high according to bid price.
In a possible embodiment, after step s 103, the method also includes: to multiple recommendation replies pair As being handled, so that multiple third attribute informations for recommending reply object are identical.
Optionally, third attribute information includes the service charge for collecting recommended, described to multiple recommendations Object should be handled, comprising: be averaged according to each service charge for recommending reply object to be quoted as destination service Take so that it is multiple it is described recommend reply object range take it is identical.
Optionally, third attribute information includes the fixture and fitting fare that recommended offers user, described to multiple recommendations Object should be handled, comprising: price floating processing should be carried out to object corresponding fixture and fitting fare to multiple recommendations, so that Multiple fixture and fitting fares for recommending reply object are identical.
In a possible embodiment, the method also includes: recommendation is generated according to multiple recommendation reply objects Breath;The recommendation information is sent to the user terminal.
Recommended generation method provided in an embodiment of the present invention, at the request for requesting process object of acquisition user Manage object properties information;It is answered according to the request process object attribute information and the first attribute information generation primary election for coping with object To object;Primary election reply object is ranked up according to the second attribute information that object is coped in the primary election, at the beginning of described Choosing reply object generates multiple recommendations and copes with object.So the primary election by generating predetermined quantity is answered for compared with the prior art It to object, is resequenced according to the second attribute information, generates multiple recommendations from primary election reply object and cope with object, to realize complete Face consideration, the fast and accurate satisfactory service side of recommendation.
Second embodiment
Corresponding to the recommended generation method in first embodiment, Fig. 2 shows push away using shown in first embodiment Recommend the one-to-one recommended generating means of object generation method.As shown in Fig. 2, the recommended generating means 400 are wrapped Include data capture unit 410, first processing module 420 and Second processing module 430.Wherein, data capture unit 410, first The realization function of processing module 420 and Second processing module 430 is gathered with step corresponding in first embodiment to be corresponded, to avoid It repeats, the present embodiment is not described in detail one by one.
Data capture unit 410 deals with objects attribute information for obtaining the request of request process object of user.
First processing module 420, for the first attribute according to the request process object attribute information and reply object Information generates primary election and copes with object.
Optionally, first processing module 420 is also used to: being searched in database and is dealt with objects attribute information institute with the request First attribute information of matched all reply objects;Determine that object is coped in primary election according to first attribute information.
Second processing module 430, the second attribute information for coping with object according to the primary election cope with the primary election Object is ranked up, and is generated multiple recommendations from primary election reply object and is coped with object.
Optionally, the Second processing module 430 is also used to: obtaining the second attribute letter of each primary election reply object The corresponding total matching score of breath;Each institute is determined according to total matching score corresponding to each primary election reply object State the serial number of primary election reply object;The primary election reply object corresponding to multiple serial numbers of preset requirement will be met Object is coped with as recommendation.
In a possible embodiment, after the Second processing module, recommended generating means 400 further include Three processing modules;The third processing module is for that should handle object multiple recommendations, so that pushing away described in multiple The third attribute information for recommending reply object is identical.
In a possible embodiment, recommended generating means 400 further include pushing module, and pushing module is used for: root Recommendation information is generated according to multiple recommendation reply objects;The recommendation information is sent to the user terminal.
3rd embodiment
As shown in figure 3, being the schematic diagram of terminal device 300.The terminal device 300 includes memory 302, processor 304 and it is stored in the computer program 303 that can be run in the memory 302 and on the processor 304, the calculating The recommended generation method in first embodiment is realized when machine program 303 is executed by processor 304, to avoid repeating, Details are not described herein again.Alternatively, realizing recommendation pair described in second embodiment when the computer program 303 is executed by processor 304 As the function of model/unit each in generating means, to avoid repeating, details are not described herein again.
Illustratively, computer program 303 can be divided into one or more module/units, one or more mould Block/unit is stored in memory 302, and is executed by processor 304, to complete the present invention.One or more module/units It can be the series of computation machine program instruction section that can complete specific function, the instruction segment is for describing computer program 303 Implementation procedure in terminal device 300.For example, the data that computer program 303 can be divided into second embodiment obtain Take unit 410, first processing module 420 and Second processing module 430, the concrete function of each module such as first embodiment or second Described in embodiment, it will not repeat them here.
Terminal device 300 can be desktop PC, notebook, palm PC and cloud server etc. and calculate equipment.
Wherein, memory 302 may be, but not limited to, random access memory (Random Access Memory, RAM), read-only memory (Read Only Memory, ROM), programmable read only memory (Programmable Read- Only Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only Memory, EPROM), electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only Memory, EEPROM) etc..Wherein, memory 302 is for storing program, and the processor 304 is after receiving and executing instruction, described in execution The method of program, the flow definition that aforementioned any embodiment of the embodiment of the present invention discloses can be applied in processor 304, or It is realized by processor 304.
Processor 304 may be a kind of IC chip, the processing capacity with signal.Above-mentioned processor 304 can To be general processor, including central processing unit (Central Processing Unit, CPU), network processing unit (Network Processor, NP) etc.;It can also be digital signal processor (Digital Signal Processor, DSP), dedicated integrated Circuit (Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field- Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic, Discrete hardware components.It may be implemented or execute disclosed each method, step and the logic diagram in the embodiment of the present invention.It is general Processor can be microprocessor or the processor is also possible to any conventional processor etc..
It is understood that structure shown in Fig. 3 is only a kind of structural schematic diagram of terminal device 300, terminal device 300 It can also include than more or fewer components shown in Fig. 3.Each component shown in Fig. 3 can use hardware, software or its group It closes and realizes.
Fourth embodiment
The embodiment of the present invention also provides a kind of storage medium, and instruction is stored on the storage medium, when described instruction exists Realize that the recommended in first embodiment generates when running on computer, when the computer program is executed by processor Method, to avoid repeating, details are not described herein again.Alternatively, the computer program realizes second embodiment when being executed by processor The function of each model/unit in the recommended generating means, to avoid repeating, details are not described herein again.
Through the above description of the embodiments, those skilled in the art can be understood that the present invention can lead to Hardware realization is crossed, the mode of necessary general hardware platform can also be added to realize by software, based on this understanding, this hair Bright technical solution can be embodied in the form of software products, which can store in a non-volatile memories In medium (can be CD-ROM, USB flash disk, mobile hard disk etc.), including some instructions are used so that computer equipment (can be with It is personal computer, server or the network equipment etc.) method that executes each implement scene of the present invention.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.It should also be noted that similar label and letter exist Similar terms are indicated in following attached drawing, therefore, once being defined in a certain Xiang Yi attached drawing, are then not required in subsequent attached drawing It is further defined and explained.

Claims (10)

1. a kind of recommended generation method characterized by comprising
The request for obtaining the request process object of user deals with objects attribute information;
Primary election reply object is generated according to the request process object attribute information and the first attribute information for coping with object;
Primary election reply object is ranked up according to the second attribute information that object is coped in the primary election, is answered from the primary election Multiple recommendations are generated to object and cope with object.
2. the method according to claim 1, wherein second attribute for coping with object according to the primary election Information is ranked up primary election reply object, generates multiple recommendations from primary election reply object and copes with object, comprising:
Obtain total matching score corresponding to the second attribute information of each primary election reply object;
Total matching score according to corresponding to each primary election reply object determines each primary election reply object Serial number;
Object is coped with using the reply object of the primary election corresponding to the multiple serial numbers for meeting preset requirement as recommendation.
3. the method according to claim 1, wherein it is described according to the request deal with objects attribute information and The first attribute information for coping with object generates primary election and copes with object, comprising:
Search database in it is described request process object attribute information institute it is matched it is all cope with objects the first attribute informations;
Determine that object is coped in primary election according to first attribute information.
4. the method according to claim 1, wherein in the second attribute information for coping with object according to the primary election Primary election reply object is ranked up, after the multiple recommendations reply objects of primary election reply object generation, further includes:
Multiple recommendations should be handled object, so that multiple third attribute information phases for recommending reply object Together.
5. method according to any of claims 1-4, which is characterized in that further include:
Recommendation information is generated according to multiple recommendation reply objects;
The recommendation information is sent to the user terminal.
6. a kind of recommended generating means characterized by comprising
Data capture unit deals with objects attribute information for obtaining the request of request process object of user;
First processing module, for being generated according to the first attribute information of the request process object attribute information and reply object Object is coped in primary election;
Second processing module, for according to the primary election should the second attribute information to object the primary election should carry out object Sequence generates multiple recommendations from primary election reply object and copes with object.
7. device according to claim 6, which is characterized in that the Second processing module is also used to:
Obtain total matching score corresponding to the second attribute information of each primary election reply object;
Total matching score according to corresponding to each primary election reply object determines each primary election reply object Serial number;
Object is coped with using the reply object of the primary election corresponding to the multiple serial numbers for meeting preset requirement as recommendation.
8. device according to claim 6, which is characterized in that further include at third after the Second processing module Manage module;
The third processing module is for that should handle object multiple recommendations, so that multiple recommendation replies pair The third attribute information of elephant is identical.
9. a kind of terminal device characterized by comprising including processor and memory, the memory is stored with calculating The readable instruction fetch of machine, it is any in operation such as claim 1-5 when the computer-readable instruction fetch is executed by the processor Method described in claim.
10. a kind of storage medium, which is characterized in that be stored thereon with computer program, which is characterized in that the computer program The method according to claim 1 to 5 is realized when being executed by processor.
CN201810952736.7A 2018-08-20 2018-08-20 Recommended generation method, device, equipment and medium Pending CN109189817A (en)

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