CN105761106A

CN105761106A - Object ordering method based on user setting and device thereof

Info

Publication number: CN105761106A
Application number: CN201610084398.0A
Authority: CN
Inventors: 徐璇炫
Original assignee: Individual
Current assignee: Individual
Priority date: 2016-02-07
Filing date: 2016-02-07
Publication date: 2016-07-13
Also published as: WO2017133704A1

Abstract

The objective of the invention is to provide an object ordering method based on user setting and a device thereof. The dimension of an object to be ordered set by a user and the corresponding weight of the dimension are acquired; the score of the object to be ordered is calculated according to the dimension and the corresponding weight thereof; the object to be ordered is ordered according to the score, and the order object is acquired; and the order object is provided for the user. Compared with the methods and the devices in the prior art, the dimension and the corresponding weight of the object to be ordered are set by the user so that the ordered object is enabled to further meet the expectations of the user, and use experience of the user can be enhanced.

Description

A kind of method and apparatus carrying out object order based on user setup

Technical field

The present invention relates to field of computer technology, particularly relate to a kind of technology carrying out object order based on user setup.

Background technology

In existing sortord, the not direct effective means of user collect potential satisfactory product data, thus each item data of comparative product of having no idea.Further, user cannot collect magnanimity product data and according to self expectation to each dimension, draw comprehensive sequence by rational calculation.In existing sortord, being generally all the sequence of fixing input and output, the demand difference of different user cannot embody, and lacks the participation of dimension and weight.When there is multiple sort criteria, in most cases existence condition mutual exclusion, user can not obtain and meet self desired ranking results.

Therefore, how object order is carried out efficiently so that the object after sequence more meets user's expectation, becomes one of those skilled in the art's problem needing solution badly.

Summary of the invention

It is an object of the invention to provide a kind of method and apparatus carrying out object order based on user setup.

According to an aspect of the invention, it is provided a kind of method carrying out object order based on user setup, wherein, the method comprises the following steps:

Weight corresponding to the dimension treating ranked object of a acquisition user setup and described dimension；

B, according to described dimension and corresponding weight thereof, treats the marking value of ranked object described in calculating；

C is worth according to described marking, treats that ranked object is ranked up to described, it is thus achieved that the object after sequence；

Object after described sequence is supplied to described user by d.

Preferably, the method also includes:

Based on the cognitive calculating to network data, described in adjustment, treat the dimension of ranked object and corresponding weight thereof；

Wherein, described step b includes:

According to the described dimension after adjusting and corresponding weight thereof, described in calculating, treat the marking value of ranked object.

Preferably, the method also includes:

E obtains the demand of described user input；

F is according to described demand, and screening obtains the object corresponding with described demand, to treat ranked object as described.

It is highly preferred that described step f also includes:

Described demand carrying out semantic analysis, and combines cognitive calculating, screening obtains the object corresponding with described demand, to treat ranked object as described.

Preferably, described in treat that each dimension of ranked object includes at least one sub-dimension, wherein, the method also includes:

The dimension treating ranked object set by described user and corresponding weight thereof are carried out dimension transformation, to obtain the weight corresponding at least one sub-dimension and described sub-dimension；

Wherein, described step b includes:

According to described at least one sub-dimension and corresponding weight thereof, described in calculating, treat the marking value of ranked object.

Preferably, the method also includes:

Obtain the dimension priority set by described user；

Wherein, described step b includes:

According to described dimension and corresponding weight thereof, and in conjunction with described dimension priority, described in calculating, treat the marking value of ranked object.

Preferably, the method also includes:

Obtain the described user selection to the object after described sequence；

According to described selection, learn the preference of described user.

It is highly preferred that the method also includes:

Preference according to described user, treats the dimension of ranked object and corresponding weight thereof described in adjustment；

Wherein, described step b includes:

Preferably, treat described in that the dimension of ranked object includes following at least any one:

Location dimension；

Price dimension；

Service dimension；

Predetermined clause dimension；

The peculiar dimension of industry.

According to another aspect of the present invention, additionally providing a kind of sequencing equipment carrying out object order based on user setup, wherein, this sequencing equipment includes:

Dimension acquisition device, is used for obtaining the weight corresponding to the dimension treating ranked object of user setup and described dimension；

Calculation element, for according to described dimension and corresponding weight thereof, treating the marking value of ranked object described in calculating；

To described, collator, for being worth according to described marking, treats that ranked object is ranked up, it is thus achieved that the object after sequence；

There is provided device, for the object after described sequence is supplied to described user.

Preferably, this sequencing equipment also includes:

First adjusting apparatus, for based on the cognitive calculating to network data, treating the dimension of ranked object and corresponding weight thereof described in adjustment；

Wherein, described calculation element is used for:

Preferably, this sequencing equipment also includes:

Requirement Acquisition device, for obtaining the demand of described user input；

Screening plant, for according to described demand, screening obtains the object corresponding with described demand, to treat ranked object as described.

It is highly preferred that described screening plant is additionally operable to:

Preferably, described in treat that each dimension of ranked object includes at least one sub-dimension, wherein, this sequencing equipment also includes:

Dimension transformation device, for carrying out dimension transformation to the dimension treating ranked object set by described user and corresponding weight thereof, to obtain the weight corresponding at least one sub-dimension and described sub-dimension；

Wherein, described calculation element is used for:

Preferably, this sequencing equipment also includes:

Priority acquisition device, for obtaining the dimension priority set by described user；

Wherein, described calculation element is used for:

Preferably, this sequencing equipment also includes:

Select acquisition device, for obtaining the described user selection to the object after described sequence；

Learning device, for according to described selection, learning the preference of described user.

It is highly preferred that this sequencing equipment also includes:

Second adjusting apparatus, for the preference according to described user, treats the dimension of ranked object and corresponding weight thereof described in adjustment；

Wherein, described calculation element is used for:

Location dimension；

Price dimension；

Service dimension；

Predetermined clause dimension；

The peculiar dimension of industry.

Compared with prior art, the present invention obtains the weight corresponding to the dimension treating ranked object of user setup and described dimension, according to described dimension and corresponding weight thereof, the marking value of ranked object is treated described in calculating, it is worth according to described marking, treat that ranked object is ranked up to described, obtain the object after sequence, object after described sequence is supplied to described user, the dimension treating ranked object and corresponding weight are set voluntarily by user, make the object after sequence more meet the expectation of user, improve the experience of user.

Further, the present invention obtains the weight corresponding to the dimension treating ranked object of user setup and described dimension, according to described dimension and corresponding weight thereof, the marking value of ranked object is treated described in calculating, it is worth according to described marking, treat that ranked object is ranked up to described, obtain the object after sequence, object after described sequence is supplied to described user, the dimension treating ranked object and corresponding weight are set voluntarily by user, make the object after sequence more meet the expectation of user, improve the experience of user.

Further, the demand that the present invention inputs according to user, screening obtains the object meeting demand and participates in sequence, further, in conjunction with semantic analysis and cognitive calculating so that the object that screening obtains meets the demand of user further, improves the experience of user.

Further, the weight of dimension and correspondence that the present invention treats ranked object carries out dimension transformation, is ranked up based on the sub-dimension after conversion and corresponding weight so that ranking results is more accurate, more meets user and expects, improves the experience of user further.

Further, the present invention when treating ranked object and being ranked up herein in connection with considering the dimension priority that dimension is arranged by user so that ranking results more meet user expectation, improve the experience of user further.

Further, the present invention learns the preference of user, and the dimension of ranked object and corresponding weight are treated in the preference adjustment based on user, or calculate adjustment dimension and corresponding weight further in conjunction with cognition, make ranking results more meet the expectation of user, improve the experience of user further.

Accompanying drawing explanation

By reading the detailed description that non-limiting example is made made with reference to the following drawings, the other features, objects and advantages of the present invention will become more apparent upon:

Fig. 1 illustrates the structural representation of the device for carrying out object order based on user setup according to one aspect of the invention；

Fig. 2 illustrates the structural representation of the device for carrying out object order based on user setup in accordance with a preferred embodiment of the present invention；

Fig. 3 illustrates the schematic flow sheet of the method for carrying out object order based on user setup according to a further aspect of the present invention.

In accompanying drawing, same or analogous accompanying drawing labelling represents same or analogous parts.

Detailed description of the invention

It should be mentioned that, some exemplary embodiments are described as the process as flow chart description or method before being discussed in greater detail exemplary embodiment.Although operations is described as the process of order by flow chart, but many operations therein can be implemented concurrently, concomitantly or simultaneously.Additionally, the order of operations can be rearranged.Described process can be terminated when its operations are completed, it is also possible to have the additional step being not included in accompanying drawing.Described process can correspond to method, function, code, subroutine, subprogram etc..

Alleged " computer equipment " within a context, also referred to as " computer ", refer to the intelligent electronic device that can be performed the predetermined process process such as numerical computations and/or logical calculated by operation preset program or instruction, it can include processor and memorizer, the survival instruction being performed to prestore in memory by processor is to perform predetermined process process, or performed predetermined process process by the hardware such as ASIC, FPGA, DSP, or combined by said two devices and realize.Computer equipment includes but not limited to server, PC, notebook computer, panel computer, smart mobile phone etc..

Described computer equipment includes subscriber equipment and the network equipment.Wherein, described subscriber equipment includes but not limited to computer, smart mobile phone, PDA etc.；The described network equipment includes but not limited to server group that single network server, multiple webserver form or the cloud being made up of a large amount of computers or the webserver based on cloud computing (CloudComputing), wherein, cloud computing is the one of Distributed Calculation, the super virtual machine being made up of a group loosely-coupled computer collection.Wherein, described computer equipment isolated operation can realize the present invention, it is possible to accesses network and by realizing the present invention with the interactive operation of other computer equipments in network.Wherein, the network residing for described computer equipment includes but not limited to the Internet, wide area network, Metropolitan Area Network (MAN), LAN, VPN etc..

It should be noted that; described subscriber equipment, the network equipment and network etc. are only for example; other existing or computer equipments of being likely to occur from now on or network, as being applicable to the present invention, within also should being included in scope, and are incorporated herein with way of reference.

Method (some of them are illustrated by flow chart) discussed hereafter can be implemented by hardware, software, firmware, middleware, microcode, hardware description language or its combination in any.When implementing by software, firmware, middleware or microcode, the program code or code segment in order to implement necessary task can be stored in machine or computer-readable medium (such as storage medium).(one or more) processor can implement the task of necessity.

Concrete structure disclosed herein and function detail are only representational, and are the purposes of exemplary embodiment for describing the present invention.But the present invention can be implemented by many alternative forms, and is not interpreted as being limited only by the embodiments set forth herein.

Although it should be appreciated that here may have been used term " first ", " second " etc. to describe unit, but these unit should not be limited by these terms.These terms are used to be only used to make a distinction a unit and another unit.For example, when without departing substantially from the scope of exemplary embodiment, first module can be referred to as second unit, and second unit can be referred to as first module similarly.Term "and/or" used herein above includes any and all combination of one of them or more listed associated item.

It should be appreciated that when a unit is referred to as " connection " or during " coupled " to another unit, it can be connected or coupled to another unit described, or can there is temporary location.On the other hand, " when being directly connected " or " directly coupled " to another unit, then temporary location it is absent from when a unit is referred to as.Should explain in a comparable manner be used to describe the relation between unit other words (such as " and be in ... between " compared to " and be directly in ... between ", " with ... contiguous " compared to " and with ... be directly adjacent to " etc.).

Term used herein above is only used to describe specific embodiment and be not intended to limit exemplary embodiment.Unless the context clearly dictates otherwise, otherwise singulative used herein above " ", " one " also attempt to include plural number.It is to be further understood that, term used herein above " includes " and/or specifies " comprising " existence of feature, integer, step, operation, unit and/or the assembly stated, and does not preclude the presence or addition of other features one or more, integer, step, operation, unit, assembly and/or its combination.

It should further be mentioned that replace in implementation at some, the function/action being previously mentioned can according to the order generation being different from sign in accompanying drawing.For example, depending on involved function/action, the two width figure in succession illustrated can essentially substantially simultaneously perform or sometimes can perform in a reverse order.

Below in conjunction with accompanying drawing, the present invention is described in further detail.

Fig. 1 illustrates the structural representation of the device for carrying out object order based on user setup according to one aspect of the invention.Sequencing equipment 1 is such as arranged in computer equipment, and it includes dimension acquisition device 101, calculation element 102, collator 103 and provides device 104.

Being arranged in the network equipment for sequencing equipment 1 below to be described in detail, this sequencing equipment 1 is connected by network with subscriber equipment, obtains the weight corresponding to the dimension treating ranked object of the acquired user setup of this subscriber equipment and described dimension；According to described dimension and corresponding weight thereof, described in calculating, treat the marking value of ranked object；It is worth according to described marking, treats that ranked object is ranked up to described, it is thus achieved that the object after sequence；Object after described sequence is supplied to described subscriber equipment, checks for user.At this, described subscriber equipment includes but not limited to PC, notebook computer, panel computer, smart mobile phone, PDA etc., and user passes through this subscriber equipment, completes to treat the setting of the weight of the dimension of ranked object and correspondence, thus obtaining the object after sequence.

Wherein, dimension acquisition device 101 obtains the weight corresponding to the dimension treating ranked object of user setup and described dimension.

Specifically, mutual by with subscriber equipment of user, in input frame, the dimension of ranked object and the weight that these dimensions are corresponding are treated in input, or, the dimension being supplied to user and weight option are chosen this user and expects the dimension treating ranked object of setting and the weight that this dimension is corresponding；Mutual by with this subscriber equipment of dimension acquisition device 101, such as called the communication mode of application programming interfaces (API) that this subscriber equipment provides or other agreements by one or many, obtain the dimension treating ranked object set by this user and the weight corresponding to this dimension.

Such as, mutual by with subscriber equipment of user, the input frame of the page relevant to the sequence treating ranked object have input the dimension treating ranked object, as have input location dimension, price dimension and service dimension, and each dimension be have input certain weight, it is 0.2 as have input the weight of location dimension, the weight of price dimension is 0.5, the weight of service dimension is 0.3, mutual by with this subscriber equipment of dimension acquisition device 101, obtains the weight corresponding to the dimension treating ranked object of this user input and described dimension.At this, the summation of the weight corresponding to each dimension is 1.

And for example, the page relevant to the sequence treating ranked object provides each dimension option treating ranked object, mutual by with subscriber equipment of user, therefrom have selected the dimension that its expectation is arranged, such as, this page provides location dimension, price dimension, service dimension, predetermined clause dimension and the peculiar dimension of industry, and user therefrom have selected location dimension, price dimension and service dimension.In addition, for each dimension, provide again the weight option of each different values, such as, provide the weight option of each numerical value from 0 to 1, user chooses further, each dimension is selected the weight of its correspondence, it is 0.2 as the weight of location dimension is chosen, it is 0.5 that the weight of price dimension is chosen, to choose be 0.3 to the weight of service dimension, mutual by with this subscriber equipment of dimension acquisition device 101, obtains the weight corresponding to the dimension treating ranked object and described dimension that this user chooses.

Preferably, user treats arranging to adopt and being manually entered and choose the mode that option combines of the dimension of ranked object and weight, such as, user chooses its dimension wanted to set up in each dimension option provided, and the weight for each selected dimension can take to be manually entered the mode of concrete numerical value；Certainly, user can also be manually entered the dimension treating ranked object, the concrete numerical value of the weight of the dimension inputted then is taked to the mode chosen.

It is preferred that the dimension treating ranked object set by user and the weight corresponding to dimension can be only the partial dimensional in all dimensions and weight and weight, remainder can be configured by system.

Those skilled in the art will be understood that; the mode of the dimension treating ranked object of above-mentioned acquisition user setup and the weight of correspondence thereof is only for example; the mode of the weight of other existing or dimensions treating ranked object of acquisition user setup of being likely to occur from now on and correspondence thereof is as being applicable to the present invention; also should be included within protection scope of the present invention; repeat no more herein, and be incorporated herein by way of reference.

Location dimension；

Price dimension；

Service dimension；

Predetermined clause dimension；

The peculiar dimension of industry.

At this, ranked object is treated for non-standardized products such as hotel, restaurant, conference service, tour arrangement, such as these treat the information such as the particular location residing for ranked object, location value, traffic behavior to location dimension, for the ranked object for the treatment of of the standard products such as all kinds of commodity, the information such as the place of departure of location dimension such as commodity, grown place.Such as, the product of user preference Jiangsu-zhejiang Shanghai Area delivery, then it can improve the weight of location dimension, has higher sequence thus meeting place of departure at the commodity of Jiangsu-zhejiang Shanghai Area；And for example, the weight in the place of production of commodity is arranged higher by user, then originate from the sequence of fake products commodity intensively more posteriorly, and the sequence of the commodity originating from the characteristic place of production is more forward, as cashmere commodity, originates from the then sequence of Erdos more forward etc..

Price dimension both can be the total price of commodity, it is also possible to be the unit price of commodity, such as the price etc. of the unit price of each commodity or the commodity of per unit weight.

Service dimension include but not limited to that businessman provides after sale, guarantee to keep in good repair, prolong the services such as guarantor, it is provided that the credit card or serial service, the star of hotel, restaurant, conference service, tour arrangement etc., the information such as the evaluation of other users.

Predetermined clause dimension includes but not limited to some preferential clauses that businessman provides, as buy five give one, 100 rooms of being fully booked can freely use the predetermined clauses such as meeting room, or other such as exchange old for new, the predetermined clause such as unconditional goods return and replacement in seven days.

The peculiar dimension of industry refers to dimension specific to industry-by-industry, such as, for hotel industry, it is possible to using the facility dimension in the hotel peculiar dimension of industry as this hotel industry, whether the facility dimension such as hotel in hotel possesses the facilities such as swimming pool, gymnasium, meeting room.The new and old etc. of the abundant degree of HOTEL FACILITIES and design all can participate in sequence as the peculiar dimension of industry.

Preferably, user treats the dimension of ranked object and the setting of weight, it is possible not only to be above-mentioned location dimension, price dimension, the service broad dimension such as dimension, predetermined clause dimension, the peculiar dimension of industry, it is also possible to be the sub-dimensions more segmented that comprise of these dimensions.Such as, for hotel reservation, location dimension contains again the sub-dimension that the particular location in hotel, location value, traffic behavior etc. more segment, then user is when arranging dimension and the weight in hotel, sub-dimension and the weight thereof of these segmentations can be set, such as, from the sub-dimension of above three, have selected particular location be worth two sub-dimensions with location, and be provided with the weight of correspondence for it.

Those skilled in the art will be understood that; the above-mentioned dimension treating ranked object is only for example, and other existing or dimensions treating ranked object of being likely to occur from now on, as being applicable to the present invention, also should be included within protection scope of the present invention; repeat no more herein, and be incorporated herein by way of reference.

Calculation element 102, according to described dimension and corresponding weight thereof, treats the marking value of ranked object described in calculating.

Specifically, calculation element 102 is according to the dimension treating ranked object of the acquired user setup of dimension acquisition device 101 and corresponding weight thereof, ranked object marking in each dimension being set is treated, for instance be weighted by calculating, calculate each marking value treating ranked object in conjunction with this.Such as, the dimension treating ranked object of the user setup that dimension acquisition device 101 is acquired be location dimension, price dimension and service dimension, these dimensions institute respectively correspondence weight be 0.2,0.5 and 0.3；Assume to treat that ranked object A is 10 points in the marking of location dimension, the marking of price dimension is 8 points, and the marking of service dimension is 9 points, then calculation element 102 is according to above-mentioned each item data, it is weighted by calculating, it is determined that this treats that the marking value of ranked object A is that 10*0.2+8*0.5+9*0.3=8.7 divides.

At this, marking value corresponding to each dimension such as can be drawn by industry experience and mark post, such as, for hotel, restaurant, conference service, tour arrangement wait ranked object location dimension, full marks are 10 points, if this treats that the particular location residing for ranked object meets the required distance of user, get full marks, if beyond distance, deducting points in proportion.And for example, the score of the location dimension originating from fake products commodity intensively is lower, and the score of the location dimension originating from the commodity in the characteristic place of production is more high.

At this, the full marks of the marking value of each dimension can be identical, it is also possible to different, it is possible to be systemic presupposition, it is also possible to by user setup.In a preferred embodiment, the full marks of each dimension mean allocation always marking value, for instance, it is assumed that the full marks of total marking value are 100 points, have 5 dimensions, then the full marks of the marking value of each dimension are 20 points.

Those skilled in the art will be understood that; above-mentioned calculating treats that the mode of the marking value of ranked object is only for example; other calculating that are existing or that be likely to occur from now on treat that the mode of the marking value of ranked object is as being applicable to the present invention; also should be included within protection scope of the present invention; repeat no more herein, and be incorporated herein by way of reference.

Collator 103 is worth according to described marking, treats that ranked object is ranked up to described, it is thus achieved that the object after sequence.

Specifically, the collator 103 marking value according to the computed acquisition of calculation element 102, treat ranked object and be ranked up, such as, height according to marking value, by treating that ranked object is ranked up according to marking value order from high to low, thus obtaining the object after sequence.Connecting example, calculation element 102 is by calculating, it is determined that this treats that the marking value of ranked object A is 8.7 points, and treats that the marking value of ranked object B is by being calculated as 9.0 points, treats that the marking value of ranked object C is by being calculated as 8.5 points；Then collator 103 treats the marking value of ranked object according to these, these being treated, ranked object is ranked up according to marking value order from high in the end, it is thus achieved that the object after sequence is B, A, C.

Those skilled in the art will be understood that; above-mentioned treat the mode that ranked object is ranked up and be only for example; other existing or treating of being likely to occur from now on modes that ranked object is ranked up are as being applicable to the present invention; also should be included within protection scope of the present invention; repeat no more herein, and be incorporated herein by way of reference.

There is provided device 104 that the object after described sequence is supplied to described user.

Specifically, it is provided that device 104 collator 103 is sorted after object, for instance called the dynamic page technology such as such as JSP, ASP or PHP by one or many, with agreement display mode, it is provided that to described user.Such as, it is provided that device 104, by the object after this sequence, shows the form of predetermined quantity with each page, it is provided that to described user, user can pass through drill-down screens or click " lower one page " icon, thus continuing the object after checking sequence.

It is preferred that provide the device 104 can also by the dimension set by this user, and the marking value that the object after this sequence is in this dimension, or the specifying information in this dimension, it is supplied to described user together, thus facilitating user to check.Such as, when user setup location dimension, offer device 104 can by the more specific location information of the object after this sequence, such as place of departure, grown place, or the information such as residing particular geographic location, location value, traffic behavior, and the detailed marking value of marking value in this location dimension or every more specific location information, it is supplied to user together.

Those skilled in the art will be understood that; the above-mentioned mode that object after sequence is supplied to user is only for example; other existing or be likely to occur from now on by sequence after object be supplied to the mode of user as being applicable to the present invention; also should be included within protection scope of the present invention; repeat no more herein, and be incorporated herein by way of reference.

At this, sequencing equipment 1 obtains the weight corresponding to the dimension treating ranked object of user setup and described dimension, according to described dimension and corresponding weight thereof, the marking value of ranked object is treated described in calculating, it is worth according to described marking, treat that ranked object is ranked up to described, obtain the object after sequence, object after described sequence is supplied to described user, the dimension treating ranked object and corresponding weight are set voluntarily by user, make the object after sequence more meet the expectation of user, improve the experience of user.

Preferably, this sequencing equipment 1 also includes the first adjusting apparatus.This first adjusting apparatus, based on the cognitive calculating to network data, treats the dimension of ranked object and corresponding weight thereof described in adjustment；Wherein, described calculation element 102, according to the described dimension after adjusting and corresponding weight thereof, treats the marking value of ranked object described in calculating.

Specifically, owing to network having the data of magnanimity, and, all the time new data message can all be emerged in large numbers, and user's possibility can not obtain these data messages in time, and by the cognitive calculating of the network data to these magnanimity, it is possible to help user to know data message in time, and the dimension of ranked object and corresponding weight thereof are treated in adjustment in time；So that calculation element 102 is according to the dimension after adjusting and weight, calculating the marking value treating ranked object more accurately, these can be treated that ranked object sorts more accurately by collator 103.

For hotel reservation, assume that convention is being held in certain location, due to factors such as traffic controls, thus having influence on the traffic behavior in this location, for the user in predetermined hotel, it is likely to and is unaware of this information, and the first adjusting apparatus is by the cognitive calculating to network data, it is possible to obtain this information in time, thus adjusting weight or the marking value of the location dimension in the hotel being positioned at this location accordingly, such as, weight or the marking value of the traffic behavior dimension in the hotel in this location are turned down；Subsequently, calculation element 102, according to the dimension after adjusting and corresponding weight thereof, in conjunction with the marking in this dimension of each hotel, calculates the marking value in each hotel.

Those skilled in the art will be understood that; the above-mentioned cognitive mode calculated to network data is only for example; the mode that other cognitions to network data that are existing or that be likely to occur from now on calculate is as being applicable to the present invention; also should be included within protection scope of the present invention; repeat no more herein, and be incorporated herein by way of reference.

At this, sequencing equipment 1, further combined with the cognitive calculating of network data, adjusts the dimension treating ranked object and corresponding weight, so that the sequence of object is more accurate, more meets the expectation of user, improve the experience of user further.

Preferably, this sequencing equipment 1 also includes Requirement Acquisition device and screening plant.This Requirement Acquisition device obtains the demand of described user input；Screening plant is according to described demand, and screening obtains the object corresponding with described demand, to treat ranked object as described.

Specifically, user can have certain demand, its mutual by with subscriber equipment, its detailed demand is have input in places such as such as input frames, for instance, it is assumed that user needs predetermined hotel, it can in the input frame of the hotel reservation page, input demand " natural lighting, traffic convenience, there is the meeting room that can hold more than 1000 people, accessible floor height requirement, the through meeting-place of heavy apparatus " etc.；Mutual by with subscriber equipment of Requirement Acquisition device, for instance called the communication mode of application programming interfaces (API) that this subscriber equipment provides or other agreements by one or many, obtain the detailed requirements that this user inputs；Subsequently, the screening plant demand according to this user, screening in each object, obtaining, thus screening, the object meeting this user's request, and using these objects as treating ranked object；Then, sequencing equipment 1 is treated on the basis of ranked object at these, according to the dimension of user setup and weight, these being treated, ranked object is ranked up.

It is preferred that the demand inputted for user, Requirement Acquisition device can also be deposited in data base, row cache of going forward side by side.At this, the demand of cache user input can solve following problem: 1) substitutes maintainability, the business scalability problem that SQL (SQL, StructuredQueryLanguage) joint investigation mode lacks；2) slow down data base's pressure, adopt cache way to this business datum read and write abruption；3) data synchronization problems is solved by system work.When the demand of user's input changes, for instance, user have modified original demands, and system will be obtained by renewal queue and be newly entered data variation, and the demand updating this user input carries out buffer memory.

It is preferred that this sequencing equipment 1 can also guide user to revise its demand, for instance, when screening plant fails to filter out the object meeting user's request, sequencing equipment 1 can guide user to revise its demand, thus filtering out the object meeting user's request.

It is highly preferred that described demand is also carried out semantic analysis by described screening plant, and combining cognitive calculating, screening obtains the object corresponding with described demand, to treat ranked object as described.

Specifically, according to the demand that user inputs, this demand is carried out semantic analysis by screening plant, such as, the process such as the character string that user is inputted is cut, denoising, literary composition meaning analysis, it is thus achieved that the character string after process, calculate in conjunction with cognition, screening obtains the object meeting user's request, and what it can be used as participation sequence treats ranked object.Such as, assume that user needs predetermined hotel, it have input demand " on tall and big " in the input frame of the hotel reservation page, then this demand is carried out semantic analysis by screening plant, calculate in conjunction with cognition, such as this user's request is converted into actual demand " be positioned at center, city, five-star more than, luxury brand hotel, well-known hotel " etc..

Those skilled in the art will be understood that; above-mentioned obtain, in conjunction with cognition calculating sifting, the mode of object meeting user's request and be only for example; other existing or be likely to occur from now on obtain the mode of object meeting user's request as being applicable to the present invention in conjunction with cognition calculating sifting; also should be included within protection scope of the present invention; repeat no more herein, and be incorporated herein by way of reference.

At this, the demand that sequencing equipment 1 inputs according to user, screening obtains the object meeting demand and participates in sequence, further, in conjunction with semantic analysis and cognitive calculating so that the object that screening obtains meets the demand of user further, improves the experience of user.

Preferably, described in treat that each dimension of ranked object includes at least one sub-dimension, wherein, this sequencing equipment 1 also includes dimension transformation device.The dimension treating ranked object set by described user and corresponding weight thereof are carried out dimension transformation by this dimension transformation device, to obtain the weight corresponding at least one sub-dimension and described sub-dimension；Wherein, described calculation element 102, according to described at least one sub-dimension and corresponding weight thereof, treats the marking value of ranked object described in calculating.

Specifically, treat that each dimension of ranked object can include at least one sub-dimension, for instance, above-mentioned location dimension can also include the sub-dimensions such as distance, location value, traffic behavior.Analogously, other dimensions can also include the sub-dimension that it is corresponding, does not describe in detail one by one at this.User is for after treating that ranked object sets dimension and corresponding weight, these dimensions and weight can be carried out dimension transformation by dimension transformation device, it it is the sub-dimension more segmented by wider range of dimension transformation, such as, location dimension and weight thereof are converted to the weight corresponding to the sub-dimension such as distance, location value, traffic behavior and this little dimension.At this, the foundation of conversion is such as according to industry experience and mark post, or the setting according to user, such as, user setup distance is for essential, and location is worth and traffic behavior is preferred, and user is 0.2 for the weight that location dimension is arranged, then this location dimension is converted to distance by dimension transformation device, location is worth and after the sub-dimension of traffic behavior, the weight of distance is 0.1, and location is worth and the weight of traffic behavior is 0.05.Subsequently, calculation element 102, according at least one sub-dimension after conversion and corresponding weight thereof, calculates this marking value treating ranked object.

Connect example, it is assumed that the dimension treating ranked object of the user setup that dimension acquisition device 101 is acquired be location dimension, price dimension and service dimension, these dimensions institute respectively correspondence weight be 0.2,0.5 and 0.3；And this location dimension is converted to distance by dimension transformation device, location is worth and after the sub-dimension of traffic behavior, the weight of distance is 0.1, location is worth and the weight of traffic behavior is 0.05, assume to treat that ranked object A is 10 points in the marking apart from sub-dimension, the marking being worth sub-dimension in location is 8 points, marking in the sub-dimension of traffic behavior is 10 points, the marking of price dimension is 8 points, the marking of service dimension is 9 points, then calculation element 102 is according to above-mentioned each item data, it is weighted by calculating, determine that this treats that the marking value of ranked object A is that 10*0.1+8*0.05+10*0.05+8*0.5+9*0.3=8.6 divides.

At this, all dimensions of user setup and weight can be carried out dimension transformation by dimension transformation device, it is also possible to only partial dimensional therein and weight are changed.

Those skilled in the art will be understood that; the above-mentioned mode that dimension and weight carry out dimension transformation is only for example; other existing or be likely to occur from now on dimension and weight are carried out the mode of dimension transformation as being applicable to the present invention; also should be included within protection scope of the present invention; repeat no more herein, and be incorporated herein by way of reference.

At this, the weight of dimension and correspondence that sequencing equipment 1 treats ranked object carries out dimension transformation, is ranked up based on the sub-dimension after conversion and corresponding weight so that ranking results is more accurate, more meets user and expects, improves the experience of user further.

Preferably, this sequencing equipment 1 also includes priority acquisition device.This priority acquisition device obtains the dimension priority set by described user；Wherein, described calculation element 102 is according to described dimension and corresponding weight thereof, and in conjunction with described dimension priority, treats the marking value of ranked object described in calculating.

Specifically, for each dimension treating ranked object, user can also arrange a priority for each dimension, such as each dimension is set to " preferably " or " essential ", or further, certain grade is set for each dimension, under identical weight, dimension priority is more high, then marking value is more high.Mutual by with subscriber equipment of priority acquisition device, for instance called the communication mode of application programming interfaces (API) that subscriber equipment provides or other agreements by one or many, obtain the dimension priority of this user setup；Subsequently, the calculation element 102 weight according to the dimension and correspondence for the treatment of ranked object, consider the dimension priority of each dimension, calculate the marking value treating ranked object.

It is preferred that the sub-dimension corresponding to each dimension, if this priority corresponding to sub-dimension is more high, then dimension transformation device is when carrying out dimension transformation, and the weighted value that this sub-dimension is converted to is more high.

At this, sequencing equipment 1 when treating ranked object and being ranked up herein in connection with considering the dimension priority that dimension is arranged by user so that ranking results more meet user expectation, improve the experience of user further.

Preferably, this sequencing equipment 1 also includes selecting acquisition device and learning device.This selection acquisition device obtains the described user selection to the object after described sequence；Learning device, according to described selection, learns the preference of described user.

Specifically, for the object after the sequence providing device 104 to provide, user has therefrom selected, select acquisition device such as to be called the communication mode of application programming interfaces (API) that this subscriber equipment provides or other agreements by one or many, obtain this user's choices made；The learning device selection according to acquired this user of this selection acquisition device, learns the preference of this user, and this preference is stored, and treats using when ranked object is ranked up next time for this user.

Such as, although it is very low that the weight of price dimension is generally all arranged by user, but this user is frequent with price for guiding in the result that the object after sequence is selected, often all can select the object that price is relatively low, then select acquisition device when this user selects object every time, obtain the selection of this user；Learning device, according to this user selection to the relatively low object of price, learns the preference of this user, i.e. the object that this user's actual preference price is relatively low, and the preference of this user is stored.

It is highly preferred that this sequencing equipment 1 also includes the second adjusting apparatus.This second adjusting apparatus preference according to described user, treats the dimension of ranked object and corresponding weight thereof described in adjustment；Wherein, described calculation element 102, according to the described dimension after adjusting and corresponding weight thereof, treats the marking value of ranked object described in calculating.

Specifically, learnt the preference of this user obtained according to aforementioned learning device, described in the second adjusting apparatus adjustment, treated the dimension of ranked object and corresponding weight thereof, so that dimension and weight after adjusting more meet the preference of user；Subsequently, described calculation element 102, according to the described dimension after adjusting and corresponding weight thereof, calculates the marking value treating ranked object.

Connecting example, learning device is often selection to the relatively low object of price according to user, learns the preference of this user, i.e. the object that this user's actual preference price is relatively low, and the preference of this user is stored；Subsequently, dimension setting is carried out when this user treats ranked object again, and the weight of price dimension is arranged relatively low time, second adjusting apparatus according to this user for preference at a low price, automatically it is the weight of this user's price improvement dimension, so that when finally sorting, coming forward object and more meet the demand of this user；Subsequently, calculation element 102, according to the dimension after the adjustment of this second adjusting apparatus and weight, calculates the marking value treating ranked object.

It is preferred that sequencing equipment 1 both according to the preference of user, can adjust and treat the dimension of ranked object and the weight of correspondence automatically, it is also possible to based on the cognitive calculating to network data, adjusting and treat the dimension of ranked object and the weight of correspondence, both can combine.

At this, sequencing equipment 1 learns the preference of user, and the dimension of ranked object and corresponding weight are treated in the preference adjustment based on user, or calculate adjustment dimension and corresponding weight further in conjunction with cognition, make ranking results more meet the expectation of user, improve the experience of user further.

The interactive operation between each device on this sequencing equipment 1 is specifically described below, as in figure 2 it is shown, it illustrates the structural representation of the device for carrying out object order based on user setup in accordance with a preferred embodiment of the present invention with a preferred embodiment.

Specifically, Requirement Acquisition device obtains the demand of user's input；Screening plant is according to described demand, and screening obtains the object corresponding with described demand, to treat ranked object as described, or, described demand is carried out semantic analysis, and combines cognitive calculating, screening obtains the object corresponding with described demand, to treat ranked object as described；Dimension acquisition device 101 obtains the weight corresponding to the dimension treating ranked object of user setup and described dimension；First adjusting apparatus, based on the cognitive calculating to network data, treats the dimension of ranked object and corresponding weight thereof described in adjustment；The dimension treating ranked object set by described user and corresponding weight thereof are carried out dimension transformation by dimension transformation device, to obtain the weight corresponding at least one sub-dimension and described sub-dimension；Second adjusting apparatus preference according to described user, treats the dimension of ranked object and corresponding weight thereof described in adjustment；At this, the selection of the object after sequence is learnt to obtain according to described user by the preference of this user by learning device；Calculation element 102, according to the described dimension after adjusting and corresponding weight thereof, treats the marking value of ranked object described in calculating, or, at least one the sub-dimension obtained according to dimension transformation and corresponding weight thereof, treat the marking value of ranked object described in calculating；Collator 103 is worth according to described marking, treats that ranked object is ranked up to described, it is thus achieved that the object after sequence；There is provided device 104 that the object after described sequence is supplied to described user.

In step S301, sequencing equipment 1 obtains the weight corresponding to the dimension treating ranked object of user setup and described dimension.

Specifically, mutual by with subscriber equipment of user, in input frame, the dimension of ranked object and the weight that these dimensions are corresponding are treated in input, or, the dimension being supplied to user and weight option are chosen this user and expects the dimension treating ranked object of setting and the weight that this dimension is corresponding；In step S301, mutual by with this subscriber equipment of sequencing equipment 1, such as called the communication mode of application programming interfaces (API) that this subscriber equipment provides or other agreements by one or many, obtain the dimension treating ranked object set by this user and the weight corresponding to this dimension.

Such as, mutual by with subscriber equipment of user, the input frame of the page relevant to the sequence treating ranked object have input the dimension treating ranked object, as have input location dimension, price dimension and service dimension, and each dimension be have input certain weight, it is 0.2 as have input the weight of location dimension, the weight of price dimension is 0.5, the weight of service dimension is 0.3, in step S301, mutual by with this subscriber equipment of sequencing equipment 1, obtains the weight corresponding to the dimension treating ranked object of this user input and described dimension.At this, the summation of the weight corresponding to each dimension is 1.

And for example, the page relevant to the sequence treating ranked object provides each dimension option treating ranked object, mutual by with subscriber equipment of user, therefrom have selected the dimension that its expectation is arranged, such as, this page provides location dimension, price dimension, service dimension, predetermined clause dimension and the peculiar dimension of industry, and user therefrom have selected location dimension, price dimension and service dimension.In addition, for each dimension, provide again the weight option of each different values, such as, provide the weight option of each numerical value from 0 to 1, user chooses further, each dimension is selected the weight of its correspondence, it is 0.2 as the weight of location dimension is chosen, it is 0.5 that the weight of price dimension is chosen, and it is 0.3 that the weight of service dimension is chosen, in step S301, mutual by with this subscriber equipment of sequencing equipment 1, obtains the weight corresponding to the dimension treating ranked object and described dimension that this user chooses.

Location dimension；

Price dimension；

Service dimension；

Predetermined clause dimension；

The peculiar dimension of industry.

In step s 302, sequencing equipment 1, according to described dimension and corresponding weight thereof, treats the marking value of ranked object described in calculating.

Specifically, in step s 302, sequencing equipment 1 is according to the dimension treating ranked object of user setup acquired in step S301 and corresponding weight thereof, ranked object marking in each dimension being set is treated in conjunction with this, such as it is weighted by calculating, calculates each marking value treating ranked object.Such as, in step S301, the dimension treating ranked object of the user setup that sequencing equipment 1 is acquired be location dimension, price dimension and service dimension, these dimensions institute respectively correspondence weight be 0.2,0.5 and 0.3；Assume to treat that ranked object A is 10 points in the marking of location dimension, the marking of price dimension is 8 points, the marking of service dimension is 9 points, then in step s 302, sequencing equipment 1 is according to above-mentioned each item data, it is weighted by calculating, it is determined that this treats that the marking value of ranked object A is that 10*0.2+8*0.5+9*0.3=8.7 divides.

In step S303, sequencing equipment 1 is worth according to described marking, treats that ranked object is ranked up to described, it is thus achieved that the object after sequence.

Specifically, in step S303, the sequencing equipment 1 marking value according to computed acquisition in step s 302, treat ranked object to be ranked up, for instance, the height according to marking value, by treating that ranked object is ranked up according to marking value order from high to low, thus obtaining the object after sequence.Connecting example, in step s 302, sequencing equipment 1 is by calculating, it is determined that this treats that the marking value of ranked object A is 8.7 points, and treats that the marking value of ranked object B is by being calculated as 9.0 points, treats that the marking value of ranked object C is by being calculated as 8.5 points；Then in step S303, sequencing equipment 1 treats the marking value of ranked object according to these, these being treated, ranked object is ranked up according to marking value order from high in the end, it is thus achieved that the object after sequence is B, A, C.

In step s 304, the object after described sequence is supplied to described user by sequencing equipment 1.

Specifically, in step s 304, sequencing equipment 1 is by the object after sequence in step S303, for instance called the dynamic page technology such as such as JSP, ASP or PHP by one or many, with the display mode of agreement, it is provided that to described user.Such as, in step s 304, sequencing equipment 1, by the object after this sequence, shows the form of predetermined quantity with each page, it is provided that to described user, user can pass through drill-down screens or click " lower one page " icon, thus continuing the object after checking sequence.

It is preferred that in step s 304, sequencing equipment 1 can also by the dimension set by this user, and the marking value that the object after this sequence is in this dimension, or the specifying information in this dimension, is supplied to described user together, thus facilitating user to check.Such as, when user setup location dimension, in step s 304, sequencing equipment 1 can by the more specific location information of the object after this sequence, such as place of departure, grown place, or the information such as residing particular geographic location, location value, traffic behavior, and the detailed marking value of marking value in this location dimension or every more specific location information, it is supplied to user together.

Preferably, the method also includes: based on the cognitive calculating to network data, treat the dimension of ranked object and corresponding weight thereof described in adjustment；Wherein, in step s 302, sequencing equipment 1, according to the described dimension after adjusting and corresponding weight thereof, treats the marking value of ranked object described in calculating.

Specifically, owing to network having the data of magnanimity, and, all the time new data message can all be emerged in large numbers, and user's possibility can not obtain these data messages in time, and by the cognitive calculating of the network data to these magnanimity, it is possible to help user to know data message in time, and the dimension of ranked object and corresponding weight thereof are treated in adjustment in time；So that in step s 302, sequencing equipment 1, according to the dimension after adjusting and weight, calculates the marking value treating ranked object more accurately, and in step s 302, these can be treated that ranked object sorts more accurately by sequencing equipment 1.

For hotel reservation, assume that convention is being held in certain location, due to factors such as traffic controls, thus having influence on the traffic behavior in this location, for the user in predetermined hotel, it is likely to and is unaware of this information, and sequencing equipment 1 is by the cognitive calculating to network data, it is possible to obtain this information in time, thus adjusting weight or the marking value of the location dimension in the hotel being positioned at this location accordingly, such as, weight or the marking value of the traffic behavior dimension in the hotel in this location are turned down；Subsequently, in step s 302, sequencing equipment 1, according to the dimension after adjusting and corresponding weight thereof, in conjunction with the marking in this dimension of each hotel, calculates the marking value in each hotel.

Preferably, the method also includes: obtain the demand of described user input；According to described demand, screening obtains the object corresponding with described demand, to treat ranked object as described.

Specifically, user can have certain demand, its mutual by with subscriber equipment, its detailed demand is have input in places such as such as input frames, for instance, it is assumed that user needs predetermined hotel, it can in the input frame of the hotel reservation page, input demand " natural lighting, traffic convenience, there is the meeting room that can hold more than 1000 people, accessible floor height requirement, the through meeting-place of heavy apparatus " etc.；Mutual by with subscriber equipment of sequencing equipment 1, for instance called the communication mode of application programming interfaces (API) that this subscriber equipment provides or other agreements by one or many, obtain the detailed requirements that this user inputs；Subsequently, the sequencing equipment 1 demand according to this user, screening in each object, obtaining, thus screening, the object meeting this user's request, and using these objects as treating ranked object；Then, sequencing equipment 1 is treated on the basis of ranked object at these, according to the dimension of user setup and weight, these being treated, ranked object is ranked up.

It is preferred that the demand inputted for user, sequencing equipment 1 can also be deposited in data base, row cache of going forward side by side.At this, the demand of cache user input can solve following problem: 1) substitutes maintainability, the business scalability problem that SQL (SQL, StructuredQueryLanguage) joint investigation mode lacks；2) slow down data base's pressure, adopt cache way to this business datum read and write abruption；3) data synchronization problems is solved by system work.When the demand of user's input changes, for instance, user have modified original demands, and system will be obtained by renewal queue and be newly entered data variation, and the demand updating this user input carries out buffer memory.

It is preferred that this sequencing equipment 1 can also guide user to revise its demand, for instance, when sequencing equipment 1 fails to filter out the object meeting user's request, sequencing equipment 1 can guide user to revise its demand, thus filtering out the object meeting user's request.

It is highly preferred that described demand is also carried out semantic analysis by sequencing equipment 1, and combining cognitive calculating, screening obtains the object corresponding with described demand, to treat ranked object as described.

Specifically, according to the demand that user inputs, this demand is carried out semantic analysis by sequencing equipment 1, such as, the process such as the character string that user is inputted is cut, denoising, literary composition meaning analysis, it is thus achieved that the character string after process, calculate in conjunction with cognition, screening obtains the object meeting user's request, and what it can be used as participation sequence treats ranked object.Such as, assume that user needs predetermined hotel, it have input demand " on tall and big " in the input frame of the hotel reservation page, then this demand is carried out semantic analysis by sequencing equipment 1, calculate in conjunction with cognition, such as this user's request is converted into actual demand " be positioned at center, city, five-star more than, luxury brand hotel, well-known hotel " etc..

Preferably, the described each dimension treating ranked object includes at least one sub-dimension, wherein, the method also includes: the dimension treating ranked object set by described user and corresponding weight thereof are carried out dimension transformation, to obtain the weight corresponding at least one sub-dimension and described sub-dimension；Wherein, in step s 302, sequencing equipment 1, according to described at least one sub-dimension and corresponding weight thereof, treats the marking value of ranked object described in calculating.

Specifically, treat that each dimension of ranked object can include at least one sub-dimension, for instance, above-mentioned location dimension can also include the sub-dimensions such as distance, location value, traffic behavior.Analogously, other dimensions can also include the sub-dimension that it is corresponding, does not describe in detail one by one at this.User is for after treating that ranked object sets dimension and corresponding weight, these dimensions and weight can be carried out dimension transformation by sequencing equipment 1, it it is the sub-dimension more segmented by wider range of dimension transformation, such as, location dimension and weight thereof are converted to the weight corresponding to the sub-dimension such as distance, location value, traffic behavior and this little dimension.At this, the foundation of conversion is such as according to industry experience and mark post, or the setting according to user, such as, user setup distance is for essential, and location is worth and traffic behavior is preferred, and user is 0.2 for the weight that location dimension is arranged, then this location dimension is converted to distance by sequencing equipment 1, location is worth and after the sub-dimension of traffic behavior, the weight of distance is 0.1, and location is worth and the weight of traffic behavior is 0.05.Subsequently, in step s 302, sequencing equipment 1, according at least one sub-dimension after conversion and corresponding weight thereof, calculates this marking value treating ranked object.

Connect example, it is assumed that in step S301, the dimension treating ranked object of the user setup that sequencing equipment 1 is acquired be location dimension, price dimension and service dimension, these dimensions institute respectively correspondence weight be 0.2,0.5 and 0.3；And this location dimension is converted to distance by sequencing equipment 1, location is worth and after the sub-dimension of traffic behavior, the weight of distance is 0.1, location is worth and the weight of traffic behavior is 0.05, assume to treat that ranked object A is 10 points in the marking apart from sub-dimension, the marking being worth sub-dimension in location is 8 points, marking in the sub-dimension of traffic behavior is 10 points, the marking of price dimension is 8 points, the marking of service dimension is 9 points, then in step s 302, sequencing equipment 1 is according to above-mentioned each item data, it is weighted by calculating, determine that this treats that the marking value of ranked object A is that 10*0.1+8*0.05+10*0.05+8*0.5+9*0.3=8.6 divides.

At this, all dimensions of user setup and weight can be carried out dimension transformation by sequencing equipment 1, it is also possible to only partial dimensional therein and weight are changed.

Preferably, the method also includes: obtain the dimension priority set by described user；Wherein, in step s 302, sequencing equipment 1 is according to described dimension and corresponding weight thereof, and in conjunction with described dimension priority, treats the marking value of ranked object described in calculating.

Specifically, for each dimension treating ranked object, user can also arrange a priority for each dimension, such as each dimension is set to " preferably " or " essential ", or further, certain grade is set for each dimension, under identical weight, dimension priority is more high, then marking value is more high.Mutual by with subscriber equipment of sequencing equipment 1, for instance called the communication mode of application programming interfaces (API) that subscriber equipment provides or other agreements by one or many, obtain the dimension priority of this user setup；Subsequently, in step s 302, the sequencing equipment 1 weight according to the dimension and correspondence for the treatment of ranked object, consider the dimension priority of each dimension, calculate the marking value treating ranked object.

It is preferred that the sub-dimension corresponding to each dimension, if this priority corresponding to sub-dimension is more high, then sequencing equipment 1 is when carrying out dimension transformation, and the weighted value that this sub-dimension is converted to is more high.

Preferably, the method also includes: obtain the described user selection to the object after described sequence；According to described selection, learn the preference of described user.

Specifically, for in step s 304, object after the sequence that sequencing equipment 1 provides, user has therefrom selected, sequencing equipment 1 such as calls the communication mode of application programming interfaces (API) that this subscriber equipment provides or other agreements by one or many, obtains this user's choices made；The sequencing equipment 1 selection according to this acquired user, learns the preference of this user, and this preference is stored, and treats using when ranked object is ranked up next time for this user.

Such as, although it is very low that the weight of price dimension is generally all arranged by user, but this user is frequent with price for guiding in the result that the object after sequence is selected, often all can select the object that price is relatively low, then sequencing equipment 1 is when this user selects object every time, obtains the selection of this user；Sequencing equipment 1, according to this user selection to the relatively low object of price, learns the preference of this user, i.e. the object that this user's actual preference price is relatively low, and the preference of this user is stored.

It is highly preferred that the method also includes: the preference according to described user, described in adjustment, treat the dimension of ranked object and corresponding weight thereof；Wherein, in step s 302, sequencing equipment 1, according to the described dimension after adjusting and corresponding weight thereof, treats the marking value of ranked object described in calculating.

Specifically, learnt the preference of this user obtained according to aforementioned sequencing equipment 1, sequencing equipment 1 adjust described in treat the dimension of ranked object and corresponding weight thereof so that dimension and weight after adjusting more meet the preference of user；Subsequently, in step s 302, sequencing equipment 1, according to the described dimension after adjusting and corresponding weight thereof, calculates the marking value treating ranked object.

Connecting example, sequencing equipment 1 is often selection to the relatively low object of price according to user, learns the preference of this user, i.e. the object that this user's actual preference price is relatively low, and the preference of this user is stored；Subsequently, dimension setting is carried out when this user treats ranked object again, and the weight of price dimension is arranged relatively low time, sequencing equipment 1 according to this user for preference at a low price, automatically it is the weight of this user's price improvement dimension, so that when finally sorting, coming forward object and more meet the demand of this user；Subsequently, in step s 302, sequencing equipment 1, according to the dimension after adjusting and weight, calculates the marking value treating ranked object.

It should be noted that the present invention can be implemented in the assembly of software and/or software and hardware, for instance, each device of the present invention can adopt special IC (ASIC) or any other similar hardware device to realize.In one embodiment, the software program of the present invention can perform to realize steps described above or function by processor.Similarly, the software program of the present invention can be stored in computer readable recording medium storing program for performing (including the data structure being correlated with), for instance, RAM memory, magnetically or optically driver or floppy disc and similar devices.It addition, some steps of the present invention or function can employ hardware to realize, for instance, as coordinating with processor thus performing the circuit of each step or function.

It is obvious to a person skilled in the art that the invention is not restricted to the details of above-mentioned one exemplary embodiment, and when without departing substantially from the spirit of the present invention or basic feature, it is possible to realize the present invention in other specific forms.Therefore, no matter from which point, embodiment all should be regarded as exemplary, and be nonrestrictive, the scope of the invention rather than described above limits, it is intended that all changes in the implication of the equivalency dropping on claim and scope be included in the present invention.Any accompanying drawing labelling in claim should be considered as the claim that restriction is involved.Furthermore, it is to be understood that " including " word is not excluded for other unit or step, odd number is not excluded for plural number.Multiple unit or the device stated in system claims can also be realized by software or hardware by a unit or device.The first, the second word such as grade is used for representing title, and is not offered as any specific order.

Claims

1. the method carrying out object order based on user setup, wherein, the method comprises the following steps:

Object after described sequence is supplied to described user by d.

2. method according to claim 1, wherein, the method also includes:

Wherein, described step b includes:

3. method according to claim 1, wherein, the method also includes:

E obtains the demand of described user input；

4. method according to claim 3, wherein, described step f also includes:

5. method according to claim 1, wherein, described in treat that each dimension of ranked object includes at least one sub-dimension, wherein, the method also includes:

Wherein, described step b includes:

6. method according to any one of claim 1 to 5, wherein, the method also includes:

Obtain the dimension priority set by described user；

Wherein, described step b includes:

7. method according to any one of claim 1 to 5, wherein, the method also includes:

Obtain the described user selection to the object after described sequence；

According to described selection, learn the preference of described user.

8. method according to claim 7, wherein, the method also includes:

Wherein, described step b includes:

9. method according to any one of claim 1 to 5, wherein, described in treat that the dimension of ranked object includes following at least any one:

Location dimension；

Price dimension；

Service dimension；

Predetermined clause dimension；

The peculiar dimension of industry.

10. carry out a sequencing equipment for object order based on user setup, wherein, this sequencing equipment includes:

11. sequencing equipment according to claim 10, wherein, this sequencing equipment also includes:

Wherein, described calculation element is used for:

12. sequencing equipment according to claim 10, wherein, this sequencing equipment also includes:

13. sequencing equipment according to claim 12, wherein, described screening plant is additionally operable to:

14. sequencing equipment according to claim 10, wherein, described in treat that each dimension of ranked object includes at least one sub-dimension, wherein, this sequencing equipment also includes:

Wherein, described calculation element is used for:

15. the sequencing equipment according to any one of claim 10 to 14, wherein, this sequencing equipment also includes:

Wherein, described calculation element is used for:

16. the sequencing equipment according to any one of claim 10 to 14, wherein, this sequencing equipment also includes:

17. sequencing equipment according to claim 16, wherein, this sequencing equipment also includes:

Wherein, described calculation element is used for:

18. the sequencing equipment according to any one of claim 10 to 14, wherein, described in treat that the dimension of ranked object includes following at least any one:

Location dimension；

Price dimension；

Service dimension；

Predetermined clause dimension；

The peculiar dimension of industry.