CN107368510A - A kind of shop search ordering method and device - Google Patents
A kind of shop search ordering method and device Download PDFInfo
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- CN107368510A CN107368510A CN201710228085.2A CN201710228085A CN107368510A CN 107368510 A CN107368510 A CN 107368510A CN 201710228085 A CN201710228085 A CN 201710228085A CN 107368510 A CN107368510 A CN 107368510A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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Abstract
The embodiment of the present application discloses a kind of shop search ordering method and device.Methods described includes：The request of shop searching order is received, the shop searching order request specifies at least two sequence dimensions；According to the ranking factor specified in advance for different scenes for the sequence dimension, ranking factor corresponding to the shop searching order request is determined；According to described at least two sequence dimensions, and ranking factor corresponding to shop searching order request, shop searching order result is determined.Utilize the embodiment of the present application, it is possible to achieve the searching order of more sequence dimensions combination in shop, advantageously reduce searching order number, and then advantageously reduce the extra process resource consumption of shop platform APP.
Description
Technical field
The application is related to computer software technical field, more particularly to a kind of shop search ordering method and device.
Background technology
Popularized with the use of intelligent terminal, types of applications (APP) also rolls up, and facility, shop are brought to user
Platform APP is a kind of APP being commonly used in user's daily life, and user may search for the shop of needs using shop platform APP
Paving.
At present, shop platform APP search listing page typically has the function of shop searching order, and the function defines such as
A variety of shop search results such as " favorable comment is preferential " (shop evaluation sequence dimension), " nearest to me " (shop distance-taxis dimension)
Sort dimension.
But in the prior art, a certain kind that shop platform APP can only choose according to user from these sequence dimensions
Sorted dimension, and shop search result is ranked up, the sequence without supporting various dimensions combination, in this way, user may need to cut
Sequence of changing gear dimension, carries out multiple searching order, could obtain satisfied result, so as to cause shop platform APP extra
Process resource consumes.
The content of the invention
The embodiment of the present application provides shop search ordering method and device, is asked to solve following technology of the prior art
Topic：Because shop platform APP does not support the sequence of various dimensions combination, then user may need switching sequence dimension, carry out multiple
Searching order, satisfied result could be obtained, so as to cause the extra process resource consumption of shop platform APP.
In order to solve the above technical problems, what the embodiment of the present application was realized in：
A kind of shop search ordering method that the embodiment of the present application provides, including：
The request of shop searching order is received, the shop searching order request specifies at least two sequence dimensions；
According to the ranking factor specified in advance for different scenes for the sequence dimension, the shop searching order is determined
Ranking factor corresponding to request；
According to described at least two sequence dimensions, and ranking factor corresponding to shop searching order request, it is determined that
Shop searching order result.
A kind of shop searching order device that the embodiment of the present application provides, including：
Receiving module, receives the request of shop searching order, and the shop searching order request specifies at least two sequences
Dimension；
Determining module, according to the ranking factor specified in advance for different scenes for the sequence dimension, determine the shop
Spread ranking factor corresponding to searching order request；
Searching order module, according to described at least two sequence dimensions, and corresponding to shop searching order request
Ranking factor, determine shop searching order result.
Above-mentioned at least one technical scheme that the embodiment of the present application uses can reach following beneficial effect：Shop can be realized
The searching order of more sequence dimensions combination of paving, advantageously reduces searching order number, and then advantageously reduce shop platform APP
Extra process resource consumption, therefore, can partly or entirely solve the problems of the prior art.
Brief description of the drawings
, below will be to embodiment or existing in order to illustrate more clearly of the embodiment of the present application or technical scheme of the prior art
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments described in application, for those of ordinary skill in the art, do not paying the premise of creative labor
Under, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is a kind of schematic flow sheet for shop search ordering method that the embodiment of the present application provides；
Fig. 2 is under a kind of practical application scene that the embodiment of the present application provides, to the one of the shop search ordering method
The principle schematic of kind embodiment；
Fig. 3 a, Fig. 3 b are respectively a kind of shop searched page schematic diagram of the prior art；
Fig. 4 is a kind of shop searched page schematic diagram that the embodiment of the present application provides；
Fig. 5 is a kind of structural representation for shop searching order device corresponding to Fig. 1 that the embodiment of the present application provides.
Embodiment
The embodiment of the present application provides a kind of shop search ordering method and device.
In order that those skilled in the art more fully understand the technical scheme in the application, it is real below in conjunction with the application
The accompanying drawing in example is applied, the technical scheme in the embodiment of the present application is clearly and completely described, it is clear that described implementation
Example only some embodiments of the present application, rather than whole embodiments.It is common based on the embodiment in the application, this area
The every other embodiment that technical staff is obtained under the premise of creative work is not made, it should all belong to the application protection
Scope.
Fig. 1 is a kind of schematic flow sheet for shop search ordering method that the embodiment of the present application provides.From program angle and
Speech, the executive agent of the flow can be client or service end, such as, shop platform APP client or service end etc.；From
For equipment angle, the following at least one that the executive agent of the flow can include but is not limited to carry said procedure is set
It is standby：Mobile phone, tablet personal computer, intelligent wearable device, vehicle device, personal computer, big-and-middle-sized computer, computer cluster etc..
Flow in Fig. 1 may comprise steps of：
S101：The request of shop searching order is received, the shop searching order request specifies at least two sequence dimensions.
In the embodiment of the present application, the sequence dimension can such as be related to following at least one factor：Shop distance, shop
Spread popularity, shop evaluation, shop taste, store environment, shop services, shop is preferential, shop price, shop classification, shop name
Title, the commodity in shop, user's custom etc..
For example, " favorable comment is preferential " mentioned in background technology is related to shop factor of evaluation, shop evaluation sequence is properly termed as
Dimension；" nearest to me " is related to shop distance factor, is properly termed as shop distance-taxis dimension.
In the embodiment of the present application, shop searching order request can also specify one or more search conditions, such as, search
Rope keyword, hunting zone etc..Certainly, sequence dimension can also include or be associated with itself search condition, such as, " from me most
Closely " this sequence dimension can include the distance threshold as search condition, then in search, only according to user current location
No more than being searched in the range of the distance threshold.
S102：According to the ranking factor specified in advance for different scenes for the sequence dimension, determine that the shop is searched
Ranking factor corresponding to rope sequencing requests.
In the embodiment of the present application, the search condition that the scene can be asked to specify by shop searching order represents, than
Such as, shop classification for limit search scope etc.；The scene can be believed by scene when sending the request of shop searching order
Breath represents, such as, (morning or afternoon or evening etc., working day or festivals or holidays etc., summer or winter etc.) transmission at what time
The request of shop searching order, where (market or station or scenic spot etc.) send the request of shop searching order etc.；Institute
Stating scene can be represented by the feature for the user for sending the request of shop searching order, such as, the sex of user, age, occupation etc.；
Etc..
In the embodiment of the present application, ranking factor can be used for reflecting the significance level of sequence dimension corresponding to it.
Under Same Scene, the ranking factor of difference sequence dimension may be different.Such as in " cuisines " shop classification scene
Under, it is however generally that, " favorable comment is preferential " (belonging to shop comment sequence dimension) (belongs to shop distance-taxis compared to " nearest to me "
Dimension), significance level is higher, then ranking factor correspondingly may also value it is higher.
Under different scenes, the ranking factor of identical sequence dimension may also be different.Such as in " cuisines " shop classification field
Under scape, the significance level of " favorable comment is preferential " is typically up to；And under " convenience store of supermarket " shop classification scene, " nearest to me "
Typically up to, and the significance level of " favorable comment is preferential " is then relatively low for significance level；Then " cuisines " and " convenience store of supermarket " both
Under different shop classification scenes, the ranking factor of " favorable comment is preferential " is usually different.
In the embodiment of the present application, ranking factor can specify previously according to experience or shop historical data, this Shen
Please and it be not specifically limited.
In the embodiment of the present application, ranking factor corresponding to the request of shop searching order can specifically include：For in shop
Scene corresponding to searching order request is spread, is in advance that each sequence dimension that searching order request in shop is specified is specified for the scene
Ranking factor.Wherein, a shop searching order request is possible to correspond to multiple scenes simultaneously, such as, it is assumed that shop is searched for
The hunting zone specified in sequencing requests includes two shop classifications, then the shop searching order request corresponds to the two simultaneously
The respective scene of shop classification.
S103：According to described at least two sequence dimensions, and the shop searching order request corresponding to ranking factor,
Determine shop searching order result.
In the embodiment of the present application, because searching order request in shop specifies at least two sequence dimensions, and at least two
Ranking factor corresponding to individual sequence dimension may be also different.Certain algorithm can be then used, at least two described in comprehensive measurement
The dimension that sorts sequence dimension and its ranking factor, respectively can be to the influence that shop searching order result is brought, and then according to these
Shop searching order result is determined in influence.The algorithm can have a variety of, and the application is simultaneously not specifically limited, behind can illustrate
Illustrate, when the algorithm difference of use, the shop searching order result determined respectively may be different.
Further, it is determined that after the searching order result of shop, at least part shop searching order result can be carried out
Displaying, in order to which user refers to.For example the shop of N before clooating sequence is only shown that N is positive integer.
Pass through Fig. 1 method, it is possible to achieve the searching order of more sequence dimensions combination in shop, advantageously reduce search row
Order number, and then the extra process resource consumption of shop platform APP is advantageously reduced, therefore, can partly or entirely solve
The problems of the prior art.
Moreover, due to during searching order, being additionally added the row specified for different scenes for sequence dimension
The influence of the sequence factor, therefore, this method are preferable to the adaptability and practicality of different scenes, are advantageous to bring preferably for user
Experience.
Method based on Fig. 1, the embodiment of the present application additionally provide some specific embodiments of this method, and extension side
Case, it is illustrated below.
It can be seen from citing above, each shop classification divided in advance can represent a kind of scene respectively.In order to
It is easy to describe, following embodiment mainly illustrates by taking the embodiment of the method in Fig. 1 in this case as an example.
In the embodiment of the present application, it is described to determine to sort corresponding to the shop searching order request for step S102
The factor, it can specifically include：Scanned for according to shop searching order request, obtain search result；Determine the search
As a result the shop classification belonging to each shop included；It is determined that the scene represented in advance for each affiliated shop classification is institute
The ranking factor that at least two sequence dimensions are specified is stated, as ranking factor corresponding to shop searching order request.This Shen
Please the granule size of shop classification is not limited, can be divided according to the actual requirements.
It should be noted that after the unnecessary search result for obtaining full dose, just start to determine the request pair of shop searching order
The ranking factor answered.The two sub-steps can also simultaneously carry out or alternately, every time for partial search results, determine phase
The ranking factor answered.
In some cases (for example searching order request in shop is when directly specifying shop classification, or shop search is arranged
The search key specified of sequence request can more clearly reflect corresponding to shop classification when, etc.), can direct basis
Shop searching order request, it is determined that corresponding ranking factor, without first obtaining search result.
Further, it is described according to described at least two sequence dimensions, and shop search row for step S103
Ranking factor corresponding to sequence request, determines shop searching order result, can specifically include：
For the shop included in the search result, perform：According to sequence corresponding to shop searching order request
The factor, it is determined that the row that the scene that the shop classification belonging to the shop represents in advance is specified as described at least two sequence dimensions
The sequence factor, as ranking factor corresponding to the shop；
Sorted according to corresponding to each shop for including in described at least two sequence dimensions, and the search result because
Son, each shop included in the search result is ranked up, obtains shop searching order result, wherein, the sequence because
Weight of the sequence dimension when carrying out the sequence corresponding to son reflection.
Further, it is described according to each shop included in described at least two sequence dimensions, and the search result
Ranking factor corresponding to paving, each shop included in the search result is ranked up, can specifically be included：
For the shop included in the search result, perform：
According to the related data of each sequence dimension of the shop in described at least two sequence dimensions, calculate the shop and exist
The sequence sublist value indicative of each sequence dimension；According to the sequence of each sequence dimension of the shop in described at least two sequence dimensions
Correspond to the ranking factor of each sequence dimension in sublist value indicative, and ranking factor corresponding to the shop, calculate the row in the shop
The total characterization value of sequence；
It is each to being included in the search result according to the total characterization value of sequence in each shop included in the search result
Shop is ranked up.
The related data can also can be carried out by the related data for the dimension that sorts directly as sequence sublist value indicative
Particular procedure, using result as sequence sublist value indicative.For latter event, such as, in actual applications, different rows
Difference may be larger in numeral, unit for sequence dimension, and for the ease of comprehensive analysis, the data of different sequence dimensions can be entered
The processing such as row normalization or mappingization, then using result as sequence sublist value indicative.
For example, the span that can define sequence sublist value indicative is [0,1]；
It is assumed that the related data that sequence dimension is evaluated in shop in shop is favorable comment number, the favorable comment number when certain shop can be defined
During more than or equal to 1000, then the sequence sublist value indicative that sequence dimension is evaluated in the shop in shop is 1, and when the favorable comment in the shop
When number is 0, then the sequence sublist value indicative that sequence dimension is evaluated in the shop in shop is 0, and the favorable comment number in the shop is more than 0 and small
When 1000, then the sequence sublist value indicative that sequence dimension is evaluated in the shop in shop is correspondingly the value more than 0 and less than 1.
Similarly, for others sequence dimension, its related data can also be mapped in the section of [0,1], with
To corresponding result, as sequence sublist value indicative.Need, above-mentioned normalization or the processing of mappingization are also only
It is example, and it is non-limiting.
Usually, in the case of ranking factor identical, sequence sublist value indicative can reflect shop in corresponding sequence dimension
The level of degree.The sequence sublist value indicative is higher, can represent that the level is higher, and the shop under the sequence dimension only when sorting
Order is more forward.
In the case where considering that ranking factor influences, can be calculated with reference to sequence sublist value indicative and corresponding ranking factor
To total characterization value that sorts, specific calculation can have a variety of.Such as can be sub as corresponding sequence is included using ranking factor
The coefficient of the item of characterization value, further according to each item for adding coefficient, calculate total characterization value that sorts；For another example, can not examine first
Consider ranking factor and one total value is calculated according to each sequence sublist value indicative, then the total value is adjusted with each ranking factor, obtain
To total characterization value that sorts；Etc..
In order to make it easy to understand, the embodiment of the present application is additionally provided under a kind of practical application scene, the original of the embodiment above
Schematic diagram is managed, as shown in Figure 2.
Under the practical application scene, it is assumed that the shop searching order request of reception specify shop distance-taxis dimension,
Shop evaluation (being specifically the favorable comment number in shop) sequence dimension, shop A and shop B are included in search result.
In fig. 2, abscissa is used to represent that shop (is properly termed as in the sequence sublist value indicative of shop evaluation sequence dimension：
Favorable comment number characterization value), ordinate is used to represent that shop (is properly termed as in the sequence sublist value indicative of shop distance-taxis dimension：Away from
From characterization value), wherein, favorable comment number characterization value is bigger, represents that favorable comment number is more, bigger apart from characterization value, represents that distance is nearer.
Shop A coordinate is counted as (a1,b1), shop B coordinate is counted as (a2,b2), it is assumed that shop A evaluates corresponding to shop
The ranking factor for the dimension that sorts is x1, the ranking factor corresponding to shop distance-taxis dimension is y1, shop B comments corresponding to shop
The ranking factor of valency sequence dimension is x2, the ranking factor corresponding to shop distance-taxis dimension is y2；If shop A and shop B category
In same shop classification, then x1=x2, y1=y2.In the case where not considering that ranking factor influences, such as can be according to following public affairs
Formula, the shop A total characterization value c of sequence is calculated respectively1With the shop B total characterization value c of sequence2：
And in the case where considering that ranking factor influences, for example shop A sequence according to below equation, can be calculated respectively
Total characterization value c1' and shop B the total characterization value c of sequence2'：
And then can be according to c1' and c2' size, shop A and shop B are ranked up, obtain shop searching order knot
Fruit.
It should be noted that above embodiment mainly using each shop classification can represent respectively a kind of scene as
What example illustrated.The scene can also be represented by scene information when sending the request of shop searching order, can also be by sending out
Send feature representative of user of shop searching order request, etc..
In the embodiment of the present application, for the search interface of shop, compared to prior art, an obvious change is
Can be sorted dimension with multiselect, rather than picture in the prior art can only single choice sequence dimension.Said with reference to Fig. 3 a, Fig. 3 b and Fig. 4
It is bright.
Fig. 3 a, Fig. 3 b are respectively a kind of shop searched page schematic diagram of the prior art.
In fig. 3 a, have " intelligent sequencing " (be related to user be accustomed to factor), " nearest to me " (being related to shop distance factor),
The sequence such as " favorable comment is preferential " (being related to shop factor of evaluation), " popularity highest " (being related to shop popularity factor) dimension, user can only
The one of sequence dimension of single choice, the sequence dimension specified as the shop searching order request subsequently sent are currently selected
" intelligent sequencing ".
Similarly, also have multiple sequence dimensions in Fig. 3 b, user also can only the one of sequence dimension of single choice, currently selected
Select " intelligent sequencing ".
Fig. 4 is a kind of shop searched page schematic diagram that the embodiment of the present application provides.
In Fig. 4, have " intelligent sequencing ", " favorable comment is preferential ", " nearest to me ", " frequent customer is more " (be related to shop popularity because
Element), " mine is preferential " (being related to the preferential factor in shop), the sequence such as " be in great demand single product " (being related to the commodity factor in shop) dimension.
Dashed rectangle identifies two sequence dimensions " favorable comment is preferential " and " nearest to me " of current simultaneous selection.
It should be noted that the page in Fig. 4 is only a kind of example, not to the restriction of the application, other patterns or work(
Can the page can also, can realize multiselect sort dimension.
A kind of shop search ordering method provided above for the embodiment of the present application, based on same invention thinking, this Shen
Please embodiment additionally provide corresponding device, as shown in Figure 5.
Fig. 5 is a kind of structural representation for shop searching order device corresponding to Fig. 1 that the embodiment of the present application provides, should
Device can be located in Fig. 1 on the executive agent (by taking client as an example) of flow, including：
Receiving module 501, receives the request of shop searching order, and the shop searching order request specifies at least two rows
Sequence dimension；
Determining module 502, according to the ranking factor specified in advance for different scenes for the sequence dimension, it is determined that described
Ranking factor corresponding to the searching order request of shop；
Searching order module 503, it is corresponding according to described at least two sequence dimensions, and shop searching order request
Ranking factor, determine shop searching order result.
Alternatively, each shop classification divided in advance represents a kind of scene respectively；
The determining module 502 determine shop searching order request corresponding to ranking factor, specifically include：
The determining module 502 scans for according to shop searching order request, obtains search result；
Determine the shop classification belonging to each shop that the search result includes；
It is determined that specified in advance for the scene that each affiliated shop classification represents as described at least two sequence dimensions
Ranking factor, as the shop searching order request corresponding to ranking factor.
Alternatively, the searching order module 503 is according to described at least two sequence dimensions, and shop search row
Ranking factor corresponding to sequence request, determines shop searching order result, specifically includes：
The searching order module 503 is directed to the shop included in the search result, performs：Searched for according to the shop
Ranking factor corresponding to sequencing requests, it is determined that the scene that the shop classification belonging to the shop represents in advance is described at least two
The ranking factor that individual sequence dimension is specified, as ranking factor corresponding to the shop；
Sorted according to corresponding to each shop for including in described at least two sequence dimensions, and the search result because
Son, each shop included in the search result is ranked up, obtains shop searching order result, wherein, the sequence because
Weight of the sequence dimension when carrying out the sequence corresponding to son reflection.
Alternatively, the searching order module 503 is according in described at least two sequence dimensions, and the search result
Comprising each shop corresponding to ranking factor, each shop included in the search result is ranked up, specifically included：
The searching order module 503 is directed to the shop included in the search result, performs：
According to the related data of each sequence dimension of the shop in described at least two sequence dimensions, calculate the shop and exist
The sequence sublist value indicative of each sequence dimension；
According to the sequence sublist value indicative of each sequence dimension of the shop in described at least two sequence dimensions, and the shop
Correspond to the ranking factor of each sequence dimension in ranking factor corresponding to paving, calculate the total characterization value of sequence in the shop；
It is each to being included in the search result according to the total characterization value of sequence in each shop included in the search result
Shop is ranked up.
Alternatively, the sequence dimension is related to following at least one factor：
Shop distance, shop popularity, shop evaluation, shop taste, store environment, shop service, shop is preferential, shop valency
Lattice, shop classification, shop title, the commodity in shop, user's custom.
The apparatus and method that the embodiment of the present application provides are one-to-one, and therefore, device also has corresponding side
The similar advantageous effects of method, due to the advantageous effects of method being described in detail above, therefore, here
Repeat no more the advantageous effects of corresponding intrument.
In the 1990s, the improvement for a technology can clearly distinguish be on hardware improvement (for example,
Improvement to circuit structures such as diode, transistor, switches) or software on improvement (improvement for method flow).So
And as the development of technology, the improvement of current many method flows can be considered as directly improving for hardware circuit.
Designer nearly all obtains corresponding hardware circuit by the way that improved method flow is programmed into hardware circuit.Cause
This, it cannot be said that the improvement of a method flow cannot be realized with hardware entities module.For example, PLD
(Programmable Logic Device, PLD) (such as field programmable gate array (Field Programmable Gate
Array, FPGA)) it is exactly such a integrated circuit, its logic function is determined by user to device programming.By designer
Voluntarily programming comes a digital display circuit " integrated " on a piece of PLD, without asking chip maker to design and make
Special IC chip.Moreover, nowadays, substitution manually makes IC chip, this programming is also used instead mostly " patrols
Volume compiler (logic compiler) " software realizes that software compiler used is similar when it writes with program development,
And the source code before compiling also write by handy specific programming language, this is referred to as hardware description language
(Hardware Description Language, HDL), and HDL is also not only a kind of, but have many kinds, such as ABEL
(Advanced Boolean Expression Language)、AHDL(Altera Hardware Description
Language)、Confluence、CUPL(Cornell University Programming Language)、HDCal、JHDL
(Java Hardware Description Language)、Lava、Lola、MyHDL、PALASM、RHDL(Ruby
Hardware Description Language) etc., VHDL (Very-High-Speed are most generally used at present
Integrated Circuit Hardware Description Language) and Verilog.Those skilled in the art also should
This understands, it is only necessary to method flow slightly programming in logic and is programmed into integrated circuit with above-mentioned several hardware description languages,
Can is readily available the hardware circuit for realizing the logical method flow.
Controller can be implemented in any suitable manner, for example, controller can take such as microprocessor or processing
Device and storage can by the computer of the computer readable program code (such as software or firmware) of (micro-) computing device
Read medium, gate, switch, application specific integrated circuit (Application Specific Integrated Circuit,
ASIC), the form of programmable logic controller (PLC) and embedded microcontroller, the example of controller include but is not limited to following microcontroller
Device：ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20 and Silicone Labs C8051F320, are deposited
Memory controller is also implemented as a part for the control logic of memory.It is also known in the art that except with
Pure computer readable program code mode realized beyond controller, completely can be by the way that method and step is carried out into programming in logic to make
Controller is obtained in the form of gate, switch, application specific integrated circuit, programmable logic controller (PLC) and embedded microcontroller etc. to come in fact
Existing identical function.Therefore this controller is considered a kind of hardware component, and various for realizing to including in it
The device of function can also be considered as the structure in hardware component.Or even, can be by for realizing that the device of various functions regards
For that not only can be the software module of implementation method but also can be the structure in hardware component.
System, device, module or the unit that above-described embodiment illustrates, it can specifically be realized by computer chip or entity,
Or realized by the product with certain function.One kind typically realizes that equipment is computer.Specifically, computer for example may be used
Think personal computer, laptop computer, cell phone, camera phone, smart phone, personal digital assistant, media play
It is any in device, navigation equipment, electronic mail equipment, game console, tablet PC, wearable device or these equipment
The combination of equipment.
For convenience of description, it is divided into various units during description apparatus above with function to describe respectively.Certainly, this is being implemented
The function of each unit can be realized in same or multiple softwares and/or hardware during application.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or computer program
Product.Therefore, the present invention can use the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.Moreover, the present invention can use the computer for wherein including computer usable program code in one or more
The computer program production that usable storage medium is implemented on (including but is not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that can be by every first-class in computer program instructions implementation process figure and/or block diagram
Journey and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computer programs can be provided
The processors of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for real
The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which produces, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, so as in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
In a typical configuration, computing device includes one or more processors (CPU), input/output interface, net
Network interface and internal memory.
Internal memory may include computer-readable medium in volatile memory, random access memory (RAM) and/or
The forms such as Nonvolatile memory, such as read-only storage (ROM) or flash memory (flash RAM).Internal memory is computer-readable medium
Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer-readable instruction, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase transition internal memory (PRAM), static RAM (SRAM), moved
State random access memory (DRAM), other kinds of random access memory (RAM), read-only storage (ROM), electric erasable
Programmable read only memory (EEPROM), fast flash memory bank or other memory techniques, read-only optical disc read-only storage (CD-ROM),
Digital versatile disc (DVD) or other optical storages, magnetic cassette tape, the storage of tape magnetic rigid disk or other magnetic storage apparatus
Or any other non-transmission medium, the information that can be accessed by a computing device available for storage.Define, calculate according to herein
Machine computer-readable recording medium does not include temporary computer readable media (transitory media), such as data-signal and carrier wave of modulation.
It should also be noted that, term " comprising ", "comprising" or its any other variant are intended to nonexcludability
Comprising so that process, method, commodity or equipment including a series of elements not only include those key elements, but also wrapping
Include the other element being not expressly set out, or also include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that wanted including described
Other identical element also be present in the process of element, method, commodity or equipment.
The application can be described in the general context of computer executable instructions, such as program
Module.Usually, program module includes performing particular task or realizes routine, program, object, the group of particular abstract data type
Part, data structure etc..The application can also be put into practice in a distributed computing environment, in these DCEs, by
Task is performed and connected remote processing devices by communication network.In a distributed computing environment, program module can be with
In the local and remote computer-readable storage medium including storage device.
Each embodiment in this specification is described by the way of progressive, identical similar portion between each embodiment
Divide mutually referring to what each embodiment stressed is the difference with other embodiment.It is real especially for system
For applying example, because it is substantially similar to embodiment of the method, so description is fairly simple, related part is referring to embodiment of the method
Part explanation.
Embodiments herein is the foregoing is only, is not limited to the application.For those skilled in the art
For, the application can have various modifications and variations.All any modifications made within spirit herein and principle, it is equal
Replace, improve etc., it should be included within the scope of claims hereof.
Claims (10)
- A kind of 1. shop search ordering method, it is characterised in that including：The request of shop searching order is received, the shop searching order request specifies at least two sequence dimensions；According to the ranking factor specified in advance for different scenes for the sequence dimension, the shop searching order request is determined Corresponding ranking factor；According to described at least two sequence dimensions, and ranking factor corresponding to shop searching order request, shop is determined Searching order result.
- 2. the method as described in claim 1, it is characterised in that each shop classification divided in advance represents a kind of field respectively Scape；Ranking factor corresponding to the determination shop searching order request, is specifically included：Scanned for according to shop searching order request, obtain search result；Determine the shop classification belonging to each shop that the search result includes；It is determined that the row specified in advance for the scene that each affiliated shop classification represents as described at least two sequence dimensions The sequence factor, as ranking factor corresponding to shop searching order request.
- 3. method as claimed in claim 2, it is characterised in that it is described according to described at least two sequence dimensions, it is and described Ranking factor corresponding to the searching order request of shop, determines shop searching order result, specifically includes：For the shop included in the search result, perform：The ranking factor according to corresponding to asking the shop searching order, It is determined that the scene represented in advance for the shop classification belonging to the shop as described at least two sort sequence that dimensions specify because Son, as ranking factor corresponding to the shop；It is right according to ranking factor corresponding to each shop included in described at least two sequence dimensions, and the search result Each shop included in the search result is ranked up, and obtains shop searching order result, wherein, the ranking factor reflection Weight of the corresponding sequence dimension when carrying out the sequence.
- 4. method as claimed in claim 3, it is characterised in that it is described according to described at least two sequence dimensions, it is and described Ranking factor corresponding to each shop included in search result, each shop included in the search result is ranked up, had Body includes：For the shop included in the search result, perform：According to the related data of each sequence dimension of the shop in described at least two sequence dimensions, the shop is calculated in each row The sequence sublist value indicative of sequence dimension；According to the sequence sublist value indicative of each sequence dimension of the shop in described at least two sequence dimensions, and the shop pair Correspond to the ranking factor of each sequence dimension in the ranking factor answered, calculate the total characterization value of sequence in the shop；According to the total characterization value of sequence in each shop included in the search result, to each shop included in the search result It is ranked up.
- 5. the method as described in any one of Claims 1 to 4, it is characterised in that the sequence dimension is related to following at least one Factor：Shop distance, shop popularity, shop evaluation, shop taste, store environment, shop service, shop is preferential, shop price, Shop classification, shop title, the commodity in shop, user's custom.
- A kind of 6. shop searching order device, it is characterised in that including：Receiving module, receives the request of shop searching order, and the shop searching order request specifies at least two sequence dimensions；Determining module, according to the ranking factor specified in advance for different scenes for the sequence dimension, determine that the shop is searched Ranking factor corresponding to rope sequencing requests；Searching order module, according to described at least two sequence dimensions, and sorted corresponding to shop searching order request The factor, determine shop searching order result.
- 7. device as claimed in claim 6, it is characterised in that each shop classification divided in advance represents a kind of field respectively Scape；The determining module determine shop searching order request corresponding to ranking factor, specifically include：The determining module scans for according to shop searching order request, obtains search result；Determine the shop classification belonging to each shop that the search result includes；It is determined that the row specified in advance for the scene that each affiliated shop classification represents as described at least two sequence dimensions The sequence factor, as ranking factor corresponding to shop searching order request.
- 8. device as claimed in claim 7, it is characterised in that the searching order module is tieed up according to described at least two sequences Degree, and ranking factor corresponding to shop searching order request, determine shop searching order result, specifically include：The searching order module is directed to the shop included in the search result, performs：Please according to the shop searching order Corresponding ranking factor is sought, it is determined that the scene that the shop classification belonging to the shop represents in advance is described at least two sequences The ranking factor that dimension is specified, as ranking factor corresponding to the shop；It is right according to ranking factor corresponding to each shop included in described at least two sequence dimensions, and the search result Each shop included in the search result is ranked up, and obtains shop searching order result, wherein, the ranking factor reflection Weight of the corresponding sequence dimension when carrying out the sequence.
- 9. device as claimed in claim 8, it is characterised in that the searching order module is tieed up according to described at least two sequences Degree, and ranking factor corresponding to each shop included in the search result, to each shop included in the search result It is ranked up, specifically includes：The searching order module is directed to the shop included in the search result, performs：According to the related data of each sequence dimension of the shop in described at least two sequence dimensions, the shop is calculated in each row The sequence sublist value indicative of sequence dimension；According to the sequence sublist value indicative of each sequence dimension of the shop in described at least two sequence dimensions, and the shop pair Correspond to the ranking factor of each sequence dimension in the ranking factor answered, calculate the total characterization value of sequence in the shop；According to the total characterization value of sequence in each shop included in the search result, to each shop included in the search result It is ranked up.
- 10. the device as described in any one of claim 6~9, it is characterised in that the sequence dimension is related to following at least one Factor：Shop distance, shop popularity, shop evaluation, shop taste, store environment, shop service, shop is preferential, shop price, Shop classification, shop title, the commodity in shop, user's custom.
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