CN105142104A - Method, device and system for providing recommendation information - Google Patents
Method, device and system for providing recommendation information Download PDFInfo
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- CN105142104A CN105142104A CN201510347709.3A CN201510347709A CN105142104A CN 105142104 A CN105142104 A CN 105142104A CN 201510347709 A CN201510347709 A CN 201510347709A CN 105142104 A CN105142104 A CN 105142104A
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- 238000000034 method Methods 0.000 title claims abstract description 47
- 230000003542 behavioural effect Effects 0.000 claims description 127
- 230000000052 comparative effect Effects 0.000 claims description 22
- 230000008569 process Effects 0.000 claims description 10
- 230000008901 benefit Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 230000001133 acceleration Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
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- 238000006073 displacement reaction Methods 0.000 description 2
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- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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Abstract
The invention provides a method, a device and a system for providing recommendation information. The method comprises the following steps: acquiring current user behavior data of a mobile terminal; analyzing the current user behavior data and determining the scene mode in which a user of the mobile terminal is currently; querying recommendation information associated with the scene mode; and pushing the recommendation information to the mobile terminal so that the mobile terminal can offer the recommendation information to the user. According to the invention, a cloud server pushes recommendation information associated with the scene mode instead of random recommendation information to the mobile terminal, so that the consumption of system resources is reduced, and the efficiency of information pushing is improved.
Description
Technical field
The present invention relates to technical field of internet application, particularly a kind of method, equipment and system that recommendation information is provided.
Background technology
LBS (Location-basedservice, position-based is served) be the geographical location information (as latitude and longitude coordinates) being obtained mobile phone users by the network of telecommunications mobile operator or outside locate mode, at GIS (GeographicInformationSystem, GIS-Geographic Information System) platform support under, for user provides the various value-added service relevant to position.The major function of LBS is included in a certain place and registers, releases news, and shares information, friend-making etc. with the crowd around this.
At present, there are some for providing the product of LBS, mainly obtaining the current location of user, and provide periphery some specific or hot information based on this position to user.
But above-mentioned information providing case does not have specific aim, may cause recommending the uninterested information of many users to user, bring poor Consumer's Experience to user, and waste resource.
Summary of the invention
In view of the above problems, propose the present invention in case provide a kind of overcome the problems referred to above or solve the problem at least in part the method for recommendation information, equipment and system are provided.
According to an aspect of of the present present invention, provide a kind of method that recommendation information is provided, be applied to Cloud Server, comprise:
Obtain active user's behavioral data of mobile terminal;
Analyze described active user's behavioral data, determine the current residing scene mode of the user of described mobile terminal;
Search the recommendation information associated with described scene mode;
Push described recommendation information to described mobile terminal, so that described recommendation information is supplied to described user by described mobile terminal.
Alternatively, described active user's behavioral data comprise following one of at least:
The current geographic position of user;
User is when current geographic position;
User is in current geographic position stay time;
The motion state that mobile terminal is current.
Alternatively, analyze described active user's behavioral data, determine the current residing scene mode of the user of described mobile terminal, comprising:
According to the corresponding relation of pre-configured user behavior data and scene mode, described active user's behavioral data is utilized to mate with described corresponding relation, search the scene mode that described active user's behavioral data is corresponding, and as the current residing scene mode of the user of described mobile terminal.
Alternatively, before analyzing described active user's behavioral data, also comprise: the historic user behavioral data obtaining mobile terminal;
Analyze described active user's behavioral data, determine the current residing scene mode of the user of described mobile terminal, comprise: more described active user's behavioral data and described historic user behavioral data, determine the current residing scene mode of the user of described mobile terminal.
Alternatively, more described active user's behavioral data and described historic user behavioral data, determine the current residing scene mode of the user of described mobile terminal, comprising:
According to described historic user behavioral data, draw user the historical juncture the track in geographical position of process;
Compare the current geographic position of user and described track, obtain current comparative result;
According to the corresponding relation of pre-configured comparative result and scene mode, search the scene mode that described current comparative result is corresponding, and as the current residing scene mode of user of described mobile terminal.
According to another aspect of the present invention, provide a kind of method that recommendation information is provided, be applied to mobile terminal, comprise:
Active user's behavioral data of Real-time Obtaining local terminal, and submit to Cloud Server; And
Receive the recommendation information that described Cloud Server pushes, wherein, described recommendation information is the information that residing scene mode current with the user of described mobile terminal associates, and described scene mode is analyzed described active user's behavioral data by described Cloud Server and determined;
Described recommendation information is supplied to described user.
According to another aspect of the present invention, additionally provide a kind of Cloud Server, comprising:
Acquisition module, is suitable for the active user's behavioral data obtaining mobile terminal;
Determination module, is suitable for analyzing described active user's behavioral data, determines the current residing scene mode of the user of described mobile terminal;
Search module, be suitable for searching the recommendation information associated with described scene mode;
Pushing module, is suitable for pushing described recommendation information to described mobile terminal, so that described recommendation information is supplied to described user by described mobile terminal.
Alternatively, described active user's behavioral data comprise following one of at least:
The current geographic position of user;
User is when current geographic position;
User is in current geographic position stay time;
The motion state that mobile terminal is current.
Alternatively, described determination module is also suitable for:
According to the corresponding relation of pre-configured user behavior data and scene mode, described active user's behavioral data is utilized to mate with described corresponding relation, search the scene mode that described active user's behavioral data is corresponding, and as the current residing scene mode of the user of described mobile terminal.
Alternatively, described acquisition module, is also suitable for the historic user behavioral data obtaining mobile terminal;
Described determination module, is also suitable for more described active user's behavioral data and described historic user behavioral data, determines the current residing scene mode of the user of described mobile terminal.
Alternatively, described determination module is also suitable for:
According to described historic user behavioral data, draw user the historical juncture the track in geographical position of process;
Compare the current geographic position of user and described track, obtain current comparative result;
According to the corresponding relation of pre-configured comparative result and scene mode, search the scene mode that described current comparative result is corresponding, and as the current residing scene mode of user of described mobile terminal.
According to another aspect of the present invention, additionally provide a kind of mobile terminal, comprising:
Submit module to, be suitable for active user's behavioral data of Real-time Obtaining local terminal, and submit to Cloud Server;
Receiver module, be suitable for the recommendation information receiving the propelling movement of described Cloud Server, wherein, described recommendation information is the information that residing scene mode current with the user of described mobile terminal associates, and described scene mode is analyzed described active user's behavioral data by described Cloud Server and determined;
Module is provided, is suitable for described recommendation information to be supplied to described user.
According to another aspect of the invention, additionally provide a kind of system that recommendation information is provided, comprising: above-mentioned Cloud Server described in any one and above-mentioned mobile terminal.
In the embodiment of the present invention, obtain active user's behavioral data of mobile terminal, by analyzing active user's behavioral data, determine the current residing scene mode of the user of mobile terminal, and then search the recommendation information associated with this scene mode, push recommendation information subsequently to mobile terminal, so that recommendation information is supplied to user by mobile terminal.Because scene mode is determined by analyzing active user's behavioral data, thus scene mode directly can reflect the agenda situation that user is current, and then the recommendation information associated with this scene mode found directly reflects the current agenda demand of user.The recommendation information associated with this scene mode is recommended mobile terminal, thus the recommendation information of acquisition for mobile terminal directly reflects the current agenda demand of user, these recommendation informations are the interested information of user, can provide more help to user.Further, Cloud Server of the present invention pushes the recommendation information associated with scene mode to mobile terminal, and is not push any recommendation information to mobile terminal, saves system resource, improves the efficiency of information pushing.
Above-mentioned explanation is only the general introduction of technical solution of the present invention, in order to technological means of the present invention can be better understood, and can be implemented according to the content of specification, and can become apparent, below especially exemplified by the specific embodiment of the present invention to allow above and other objects of the present invention, feature and advantage.
According to hereafter by reference to the accompanying drawings to the detailed description of the specific embodiment of the invention, those skilled in the art will understand above-mentioned and other objects, advantage and feature of the present invention more.
Accompanying drawing explanation
By reading hereafter detailed description of the preferred embodiment, various other advantage and benefit will become cheer and bright for those of ordinary skill in the art.Accompanying drawing only for illustrating the object of preferred implementation, and does not think limitation of the present invention.And in whole accompanying drawing, represent identical parts by identical reference symbol.In the accompanying drawings:
Fig. 1 shows the flow chart of the method providing recommendation information according to an embodiment of the invention;
Fig. 2 shows the flow chart of the method providing recommendation information according to another embodiment of the present invention;
Fig. 3 A shows the flow chart providing the method for recommendation information according to further embodiment of this invention;
Fig. 3 B shows Generalization bounds schematic diagram according to an embodiment of the invention;
Fig. 3 C shows Generalization bounds schematic diagram according to another embodiment of the present invention;
Fig. 4 shows the structural representation of Cloud Server according to an embodiment of the invention;
Fig. 5 shows the structural representation of mobile terminal according to an embodiment of the invention; And
Fig. 6 shows the structural representation of the system providing recommendation information according to an embodiment of the invention.
Embodiment
Below with reference to accompanying drawings exemplary embodiment of the present disclosure is described in more detail.Although show exemplary embodiment of the present disclosure in accompanying drawing, however should be appreciated that can realize the disclosure in a variety of manners and not should limit by the embodiment set forth here.On the contrary, provide these embodiments to be in order to more thoroughly the disclosure can be understood, and complete for the scope of the present disclosure can be conveyed to those skilled in the art.
For solving the problems of the technologies described above, embodiments providing a kind of method that recommendation information is provided, being applied to Cloud Server.Fig. 1 shows the flow chart of the method providing recommendation information according to an embodiment of the invention.See Fig. 1, the method at least comprises step S102 to step S108.
Step S102, obtains active user's behavioral data of mobile terminal.
Step S104, analyzes active user's behavioral data, determines the current residing scene mode of the user of mobile terminal.
Step S106, searches the recommendation information associated with scene mode.
Step S108, pushes recommendation information to mobile terminal, so that recommendation information is supplied to user by mobile terminal.
In the embodiment of the present invention, obtain active user's behavioral data of mobile terminal, by analyzing active user's behavioral data, determine the current residing scene mode of the user of mobile terminal, and then search the recommendation information associated with this scene mode, push recommendation information subsequently to mobile terminal, so that recommendation information is supplied to user by mobile terminal.Because scene mode is determined by analyzing active user's behavioral data, thus scene mode directly can reflect the agenda situation that user is current, and then the recommendation information associated with this scene mode found directly reflects the current agenda demand of user.The recommendation information associated with this scene mode is recommended mobile terminal, thus the recommendation information of acquisition for mobile terminal directly reflects the current agenda demand of user, these recommendation informations are the interested information of user, can provide more help to user.Further, Cloud Server of the present invention pushes the recommendation information associated with scene mode to mobile terminal, and is not push any recommendation information to mobile terminal, saves system resource, improves the efficiency of information pushing.
In an embodiment of the present invention, above-mentioned steps S102 and step S104 also can be performed by mobile terminal, namely by acquisition for mobile terminal active user behavioral data, and then analyze active user's behavioral data, determine the current residing scene mode of the user of mobile terminal.Subsequently, submit to the current residing scene mode of user to Cloud Server, perform step S106 and step S108 by Cloud Server.
Namely, the embodiment of the present invention relates to mobile terminal and the mutual process of Cloud Server, in practice, user is by being arranged on mobile terminal (mobile phone, intelligent watch, intelligent glasses etc.) in client, recommendation information is submitted to obtain request to Cloud Server, server receives described recommendation information and obtains request, and the behavior disposition information (i.e. scene mode) of this user is obtained according to the user ID in request, then the behavior disposition information of described user is adopted to extract the recommendation information of current association by presetting rule, extract again after meeting the recommendation information of the current association of preset requirement and return to client, user can know the described recommendation information meeting the current association of preset requirement from client.
The active user's behavioral data mentioned in step S102 above can comprise the current geographic position of user, user when current geographic position, user in current geographic position stay time, the motion state that mobile terminal is current, etc., the present invention is not limited thereto.Here, the current geographic position of user can by the LBS mentioned above, is namely obtained by the network of telecommunications mobile operator or outside locate mode.In addition, the motion state that mobile terminal is current can be gathered by transducer, as gyroscope, acceleration transducer, displacement transducer etc.
After step S102 obtains active user's behavioral data of mobile terminal, active user's behavioral data is analyzed in step S104, determine the current residing scene mode of the user of mobile terminal, embodiments provide several optional implementation, will describe in detail respectively below.
Mode one, the mode of match user behavioral data determination scene mode.Namely, according to the corresponding relation of pre-configured user behavior data and scene mode, utilize active user's behavioral data to mate with corresponding relation, search the scene mode that active user's behavioral data is corresponding, and as the current residing scene mode of the user of mobile terminal.
For example, pre-configured user behavior data A, namely the geographical position of user is restaurant, is in time period 11:30-13:00 and in this restaurant stay time more than 10 minutes, then corresponding scene mode is had lunch for user in the moment in this restaurant.Pre-configured user behavior data B, namely the geographical position of user is gymnasium, to be in time period 18:30-21:00 and in this gymnasium stay time more than 30 minutes, then corresponding scene mode is that user is just in body-building in the moment of this gymnasium.Pre-configured user behavior data C, namely the geographical position of user is market, the moment in this market to be in Time of Day section Saturday, in this market stay time more than 30 minutes and the mobile terminal of user is in the state of motion, then corresponding scene mode is being gone shopping for user, etc., the present invention is not limited thereto.It should be noted that, the above-mentioned configuration parameter enumerated is only schematic, does not limit the present invention, and these configuration parameters also can adjust according to actual conditions.
In an embodiment of the present invention, pre-configured user behavior data and the corresponding relation of scene mode can be stored with the form of list or database, can also index be set up so that follow-up coupling and search operation.
According to the corresponding relation of pre-configured user behavior data and scene mode, active user's behavioral data is utilized to mate with corresponding relation, search the scene mode that active user's behavioral data is corresponding, and as the current residing scene mode of the user of mobile terminal.Such as, active user's behavioral data for user in certain restaurant, stay time is 15 minutes and current time is 12:10, then determine that the scene mode that active user's behavioral data is corresponding is had lunch for user.
Mode two, compares the mode of active user's behavioral data and historic user behavioral data.That is, obtain the historic user behavioral data of mobile terminal, according to historic user behavioral data, draw user the historical juncture the track in geographical position of process.And then, relatively the current geographic position of user and track, obtain current comparative result, according to the corresponding relation of pre-configured comparative result and scene mode, search the scene mode that current comparative result is corresponding, and as the current residing scene mode of the user of mobile terminal.Here, historic user behavioral data can be the history user behavior data of some days, the render history user behavior data of some days, thus simulates user's historical behavior track.
For example, user is through restaurant, and do not mean that the scene mode residing for user is had a meal just at the restaurant for user, the historic user behavioral data in conjunction with this user is now needed to compare, according to comparative result determination scene mode, thus improve the accuracy determining scene mode, so that the effective recommendation information of follow-up propelling movement.
Search the recommendation information associated with scene mode above in step S106, as scene mode is being had lunch for user, then the recommendation information associated with this scene mode is the action message in this restaurant, the brief introduction in this restaurant, the speciality etc. in this restaurant.And for example, scene mode be user just in body-building, then the recommendation information associated with this scene mode is the reward voucher of this gymnasium, the brief introduction of this gymnasium, the fitness project of this gymnasium, the fitness etc. of this gymnasium.Because these recommendation informations above-mentioned are the information directly related with the behavior of user, thus, after these recommendation informations above-mentioned are pushed to mobile terminal, make the user of mobile terminal can obtain extra help.
In step S108, pushing recommendation information to mobile terminal can be Cloud Server active push, pushes after also can receiving the request of mobile terminal.In addition, the propelling movement of recommendation information can be carried out in form of a message.Alternatively, recommendation information can be write as PUSH message according to specific message format, be pushed to mobile terminal with the form of message push.As, PUSH message is pushed to mobile terminal, and shows described PUSH message at the informing of described mobile terminal; Or notification area PUSH message being pushed to mobile terminal shows described PUSH message.
Accordingly, embodiments provide a kind of method that recommendation information is provided, be applied to mobile terminal.Fig. 2 shows the flow chart of the method providing recommendation information according to another embodiment of the present invention.See Fig. 2, the method at least comprises step S202 to step S206.
Step S202, active user's behavioral data of Real-time Obtaining local terminal, and submit to Cloud Server.
Step S204, receives the recommendation information that Cloud Server pushes, and wherein, this recommendation information is the information that residing scene mode current with the user of mobile terminal associates, and this scene mode is analyzed active user's behavioral data by Cloud Server and determined.
Step S206, is supplied to user by recommendation information.
In this embodiment, because scene mode is determined by analyzing active user's behavioral data, thus scene mode directly can reflect the agenda situation that user is current, and then the recommendation information associated with this scene mode directly reflects the current agenda demand of user.The recommendation information associated with this scene mode is recommended mobile terminal by Cloud Server, thus the recommendation information of acquisition for mobile terminal directly reflects the current agenda demand of user, these recommendation informations are the interested information of user, can provide more help to user.
The active user's behavioral data mentioned in step S202 above comprises the current geographic position of user, user when current geographic position, user in current geographic position stay time, the motion state that mobile terminal is current, etc., the present invention is not limited thereto.Here, the current geographic position of user can by the LBS mentioned above, is namely obtained by the network of telecommunications mobile operator or outside locate mode.In addition, the motion state that mobile terminal is current can be gathered by transducer, as gyroscope, acceleration transducer, displacement transducer etc.
Introduce the implementation procedure providing the method for recommendation information of the present invention in detail below by a specific embodiment, in this embodiment, mobile terminal is mobile phone.Fig. 3 A shows the flow chart providing the method for recommendation information according to further embodiment of this invention.See Fig. 3 A, the method at least comprises step S302 to step S316.
Step S302, active user's behavioral data of mobile phone Real-time Obtaining local terminal.
In this step, the current geographic position of mobile phone user in real, user moment of current geographic position, user at active user's behavioral datas such as the current motion states of current geographic position stay time, mobile terminal.
Step S304, mobile phone submits to active user's behavioral data to Cloud Server.
Step S306, active user's behavioral data that cloud server mobile phone is submitted to.
Step S308, Cloud Server analyzes active user's behavioral data, determines the current residing scene mode of the user of mobile phone.
In this step, aforesaid way one or mode two can be adopted to determine the current residing scene mode of the user of mobile terminal.
Step S310, Cloud Server searches the recommendation information associated with scene mode.
In this step, if scene mode is being had lunch for user, then the recommendation information associated with this scene mode found can be the action message in this restaurant, the brief introduction in this restaurant, the speciality etc. in this restaurant.If scene mode be user just in body-building, then the recommendation information associated with this scene mode found can be the reward voucher of this gymnasium, the brief introduction of this gymnasium, the fitness project of this gymnasium, the fitness etc. of this gymnasium, by that analogy.Because these recommendation informations provided above are the information directly related with the behavior of user, thus, after these recommendation informations above-mentioned are pushed to mobile terminal, make the user of mobile terminal can obtain extra help.
In one embodiment, after Cloud Server finds the recommendation information associated with scene mode, based on the Generalization bounds preset, can also choose from recommendation information and more can reflect that the information of user's request is recommended.Such as, corresponding taxonomic hierarchies is set up to the product information in recommendation information, browse based on user or use the historical records such as product, infer user characteristics, make great efforts to the lead referral product similar to the product liked before it.
And for example, based on the recommendation of correlation rule, namely use the degree of association recording between counting yield based on user, set up association system between product, then while user uses one of them product, give this user by other high for associated degree Products Show.As shown in Figure 3 B, analyze user according to historical record and like film A, then the film B associated with film A is also recommended this user.
For another example, collaborative filtering recommending, namely sets up identical preferences user group according to the data such as personal information, historical behavior information of user, mutually recommends in similar preferences user group according to the usage behavior of user.As shown in Figure 3 C, user A is similar to user C, then the recommendation information " article A " of user A is also recommended user C.
Step S312, Cloud Server pushes recommendation information to mobile phone.
In this step, PUSH (propelling movement) server receives the request that this sets up cloud connection, and connects notice mobile terminal by long.
Step S314, mobile phone receives the recommendation information that Cloud Server pushes.
Step S316, recommendation information is supplied to user by mobile phone.
In the present embodiment, Cloud Server obtains active user's behavioral data that mobile phone is uploaded, and then analyzes active user's behavioral data, determines the current residing scene mode of the user of mobile phone.Because scene mode is determined by analyzing active user's behavioral data, thus scene mode directly can reflect the agenda situation that user is current, and then the recommendation information associated with this scene mode found directly reflects the current agenda demand of user.The recommendation information associated with this scene mode is recommended mobile phone, thus the recommendation information that mobile phone obtains directly reflects the current agenda demand of user, these recommendation informations are the interested information of user, more help can be provided to user, achieve Cloud Server pushes object from effective recommendation information to mobile phone.
It should be noted that, in practical application, above-mentioned all Alternate embodiments can adopt the mode combination in any of combination, and form optional embodiment of the present invention, this is no longer going to repeat them.
Based on same inventive concept, the embodiment of the present invention additionally provides a kind of Cloud Server.Fig. 4 shows the structural representation of Cloud Server according to an embodiment of the invention.As shown in Figure 4, this Cloud Server at least can comprise: acquisition module 410, determination module 420, search module 430 and pushing module 440.
Now introduce the annexation between each composition of the Cloud Server of the embodiment of the present invention or the function of device and each several part:
Acquisition module 410, is suitable for the active user's behavioral data obtaining mobile terminal;
Determination module 420, is coupled with acquisition module 410, is suitable for analyzing active user's behavioral data, determines the current residing scene mode of the user of mobile terminal;
Search module 430, be coupled with determination module 420, be suitable for searching the recommendation information associated with scene mode;
Pushing module 440, and searches module 430 and is coupled, and is suitable for pushing recommendation information to mobile terminal, so that recommendation information is supplied to user by mobile terminal.
In an embodiment of the present invention, active user's behavioral data comprise following one of at least:
The current geographic position of user;
User is when current geographic position;
User is in current geographic position stay time;
The motion state that mobile terminal is current.
In an embodiment of the present invention, above-mentioned determination module 420 is also suitable for:
According to the corresponding relation of pre-configured user behavior data and scene mode, active user's behavioral data is utilized to mate with corresponding relation, search the scene mode that active user's behavioral data is corresponding, and as the current residing scene mode of the user of mobile terminal.
In an embodiment of the present invention,
Above-mentioned acquisition module 410, is also suitable for the historic user behavioral data obtaining mobile terminal;
Above-mentioned determination module 420, is also suitable for comparing active user's behavioral data and historic user behavioral data, determines the current residing scene mode of the user of mobile terminal.
In an embodiment of the present invention, above-mentioned determination module 420 is also suitable for:
According to historic user behavioral data, draw user the historical juncture the track in geographical position of process;
Compare current geographic position and the track of user, obtain current comparative result;
According to the corresponding relation of pre-configured comparative result and scene mode, search the scene mode that current comparative result is corresponding, and as the current residing scene mode of user of mobile terminal.
Accordingly, the embodiment of the present invention additionally provides a kind of mobile terminal.Fig. 5 shows the structural representation of mobile terminal according to an embodiment of the invention.As shown in Figure 5, this mobile terminal at least can comprise: submit module 510, receiver module 520 to and provide module 530.
Now introduce the annexation between each composition of the mobile terminal of the embodiment of the present invention or the function of device and each several part:
Submit module 510 to, be suitable for active user's behavioral data of Real-time Obtaining local terminal, and submit to Cloud Server;
Receiver module 520, be coupled with submission module 510, be suitable for the recommendation information receiving Cloud Server propelling movement, wherein, recommendation information is the information that residing scene mode current with the user of mobile terminal associates, and scene mode is analyzed active user's behavioral data by Cloud Server and determined;
Module 530 is provided, is coupled with receiver module 520, be suitable for recommendation information to be supplied to user.
In addition, the embodiment of the present invention additionally provides a kind of system providing recommendation information.Fig. 6 shows the structural representation of the system providing recommendation information according to an embodiment of the invention.As shown in Figure 6, this provides the system of recommendation information at least can comprise: above-mentioned mobile terminal 610 (as shown in Figure 5) and above-mentioned Cloud Server 620 (as shown in Figure 4) described in any one.
According to the combination of any one preferred embodiment above-mentioned or multiple preferred embodiment, the embodiment of the present invention can reach following beneficial effect:
In the embodiment of the present invention, obtain active user's behavioral data of mobile terminal, by analyzing active user's behavioral data, determine the current residing scene mode of the user of mobile terminal, and then search the recommendation information associated with this scene mode, push recommendation information subsequently to mobile terminal, so that recommendation information is supplied to user by mobile terminal.Because scene mode is determined by analyzing active user's behavioral data, thus scene mode directly can reflect the agenda situation that user is current, and then the recommendation information associated with this scene mode found directly reflects the current agenda demand of user.The recommendation information associated with this scene mode is recommended mobile terminal, thus the recommendation information of acquisition for mobile terminal directly reflects the current agenda demand of user, these recommendation informations are the interested information of user, can provide more help to user.Further, Cloud Server of the present invention pushes the recommendation information associated with scene mode to mobile terminal, and is not push any recommendation information to mobile terminal, saves system resource, improves the efficiency of information pushing.
In specification provided herein, describe a large amount of detail.But can understand, embodiments of the invention can be put into practice when not having these details.In some instances, be not shown specifically known method, structure and technology, so that not fuzzy understanding of this description.
Similarly, be to be understood that, in order to simplify the disclosure and to help to understand in each inventive aspect one or more, in the description above to exemplary embodiment of the present invention, each feature of the present invention is grouped together in single embodiment, figure or the description to it sometimes.But, the method for the disclosure should be construed to the following intention of reflection: namely the present invention for required protection requires feature more more than the feature clearly recorded in each claim.Or rather, as claims below reflect, all features of disclosed single embodiment before inventive aspect is to be less than.Therefore, the claims following embodiment are incorporated to this embodiment thus clearly, and wherein each claim itself is as independent embodiment of the present invention.
Those skilled in the art are appreciated that and adaptively can change the module in the equipment in embodiment and they are arranged in one or more equipment different from this embodiment.Module in embodiment or unit or assembly can be combined into a module or unit or assembly, and multiple submodule or subelement or sub-component can be put them in addition.Except at least some in such feature and/or process or unit be mutually repel except, any combination can be adopted to combine all processes of all features disclosed in this specification (comprising adjoint claim, summary and accompanying drawing) and so disclosed any method or equipment or unit.Unless expressly stated otherwise, each feature disclosed in this specification (comprising adjoint claim, summary and accompanying drawing) can by providing identical, alternative features that is equivalent or similar object replaces.
In addition, those skilled in the art can understand, although embodiments more described herein to comprise in other embodiment some included feature instead of further feature, the combination of the feature of different embodiment means and to be within scope of the present invention and to form different embodiments.Such as, in detail in the claims, the one of any of embodiment required for protection can use with arbitrary compound mode.
All parts embodiment of the present invention with hardware implementing, or can realize with the software module run on one or more processor, or realizes with their combination.It will be understood by those of skill in the art that the some or all functions that the some or all parts in the equipment of recommendation information and system are provided that microprocessor or digital signal processor (DSP) can be used in practice to realize according to the embodiment of the present invention.The present invention can also be embodied as part or all equipment for performing method as described herein or device program (such as, computer program and computer program).Realizing program of the present invention and can store on a computer-readable medium like this, or the form of one or more signal can be had.Such signal can be downloaded from internet website and obtain, or provides on carrier signal, or provides with any other form.
The present invention will be described instead of limit the invention to it should be noted above-described embodiment, and those skilled in the art can design alternative embodiment when not departing from the scope of claims.In the claims, any reference symbol between bracket should be configured to limitations on claims.Word " comprises " not to be got rid of existence and does not arrange element in the claims or step.Word "a" or "an" before being positioned at element is not got rid of and be there is multiple such element.The present invention can by means of including the hardware of some different elements and realizing by means of the computer of suitably programming.In the unit claim listing some devices, several in these devices can be carry out imbody by same hardware branch.Word first, second and third-class use do not represent any order.Can be title by these word explanations.
So far, those skilled in the art will recognize that, although multiple exemplary embodiment of the present invention is illustrate and described herein detailed, but, without departing from the spirit and scope of the present invention, still can directly determine or derive other modification many or amendment of meeting the principle of the invention according to content disclosed by the invention.Therefore, scope of the present invention should be understood and regard as and cover all these other modification or amendments.
The embodiment of the invention also discloses:
A1, a kind of method providing recommendation information, be applied to Cloud Server, comprise:
Obtain active user's behavioral data of mobile terminal;
Analyze described active user's behavioral data, determine the current residing scene mode of the user of described mobile terminal;
Search the recommendation information associated with described scene mode;
Push described recommendation information to described mobile terminal, so that described recommendation information is supplied to described user by described mobile terminal.
A2, method according to A1, wherein, described active user's behavioral data comprise following one of at least:
The current geographic position of user;
User is when current geographic position;
User is in current geographic position stay time;
The motion state that mobile terminal is current.
A3, method according to A1 or A2, wherein, analyze described active user's behavioral data, determines the current residing scene mode of the user of described mobile terminal, comprising:
According to the corresponding relation of pre-configured user behavior data and scene mode, described active user's behavioral data is utilized to mate with described corresponding relation, search the scene mode that described active user's behavioral data is corresponding, and as the current residing scene mode of the user of described mobile terminal.
A4, method according to A1 or A2, wherein,
Before analyzing described active user's behavioral data, also comprise: the historic user behavioral data obtaining mobile terminal;
Analyze described active user's behavioral data, determine the current residing scene mode of the user of described mobile terminal, comprise: more described active user's behavioral data and described historic user behavioral data, determine the current residing scene mode of the user of described mobile terminal.
A5, method according to A4, wherein, more described active user's behavioral data and described historic user behavioral data, determine the current residing scene mode of the user of described mobile terminal, comprising:
According to described historic user behavioral data, draw user the historical juncture the track in geographical position of process;
Compare the current geographic position of user and described track, obtain current comparative result;
According to the corresponding relation of pre-configured comparative result and scene mode, search the scene mode that described current comparative result is corresponding, and as the current residing scene mode of user of described mobile terminal.
A6, a kind of method providing recommendation information, be applied to mobile terminal, comprise:
Active user's behavioral data of Real-time Obtaining local terminal, and submit to Cloud Server; And
Receive the recommendation information that described Cloud Server pushes, wherein, described recommendation information is the information that residing scene mode current with the user of described mobile terminal associates, and described scene mode is analyzed described active user's behavioral data by described Cloud Server and determined;
Described recommendation information is supplied to described user.
B7, a kind of Cloud Server, comprising:
Acquisition module, is suitable for the active user's behavioral data obtaining mobile terminal;
Determination module, is suitable for analyzing described active user's behavioral data, determines the current residing scene mode of the user of described mobile terminal;
Search module, be suitable for searching the recommendation information associated with described scene mode;
Pushing module, is suitable for pushing described recommendation information to described mobile terminal, so that described recommendation information is supplied to described user by described mobile terminal.
B8, Cloud Server according to B7, wherein, described active user's behavioral data comprise following one of at least:
The current geographic position of user;
User is when current geographic position;
User is in current geographic position stay time;
The motion state that mobile terminal is current.
B9, Cloud Server according to B7 or B8, wherein, described determination module is also suitable for:
According to the corresponding relation of pre-configured user behavior data and scene mode, described active user's behavioral data is utilized to mate with described corresponding relation, search the scene mode that described active user's behavioral data is corresponding, and as the current residing scene mode of the user of described mobile terminal.
B10, Cloud Server according to B7 or B8, wherein,
Described acquisition module, is also suitable for the historic user behavioral data obtaining mobile terminal;
Described determination module, is also suitable for more described active user's behavioral data and described historic user behavioral data, determines the current residing scene mode of the user of described mobile terminal.
B11, Cloud Server according to B10, wherein, described determination module is also suitable for:
According to described historic user behavioral data, draw user the historical juncture the track in geographical position of process;
Compare the current geographic position of user and described track, obtain current comparative result;
According to the corresponding relation of pre-configured comparative result and scene mode, search the scene mode that described current comparative result is corresponding, and as the current residing scene mode of user of described mobile terminal.
B12, a kind of mobile terminal, comprising:
Submit module to, be suitable for active user's behavioral data of Real-time Obtaining local terminal, and submit to Cloud Server;
Receiver module, be suitable for the recommendation information receiving the propelling movement of described Cloud Server, wherein, described recommendation information is the information that residing scene mode current with the user of described mobile terminal associates, and described scene mode is analyzed described active user's behavioral data by described Cloud Server and determined;
Module is provided, is suitable for described recommendation information to be supplied to described user.
C13, a kind of system providing recommendation information, comprising: the Cloud Server described in any one of B7-B11 and the mobile terminal described in B12.
Claims (10)
1. a method for recommendation information is provided, is applied to Cloud Server, comprising:
Obtain active user's behavioral data of mobile terminal;
Analyze described active user's behavioral data, determine the current residing scene mode of the user of described mobile terminal;
Search the recommendation information associated with described scene mode;
Push described recommendation information to described mobile terminal, so that described recommendation information is supplied to described user by described mobile terminal.
2. method according to claim 1, wherein, described active user's behavioral data comprise following one of at least:
The current geographic position of user;
User is when current geographic position;
User is in current geographic position stay time;
The motion state that mobile terminal is current.
3. method according to claim 1 and 2, wherein, analyzes described active user's behavioral data, determines the current residing scene mode of the user of described mobile terminal, comprising:
According to the corresponding relation of pre-configured user behavior data and scene mode, described active user's behavioral data is utilized to mate with described corresponding relation, search the scene mode that described active user's behavioral data is corresponding, and as the current residing scene mode of the user of described mobile terminal.
4. method according to claim 1 and 2, wherein,
Before analyzing described active user's behavioral data, also comprise: the historic user behavioral data obtaining mobile terminal;
Analyze described active user's behavioral data, determine the current residing scene mode of the user of described mobile terminal, comprise: more described active user's behavioral data and described historic user behavioral data, determine the current residing scene mode of the user of described mobile terminal.
5. method according to claim 4, wherein, more described active user's behavioral data and described historic user behavioral data, determine the current residing scene mode of the user of described mobile terminal, comprising:
According to described historic user behavioral data, draw user the historical juncture the track in geographical position of process;
Compare the current geographic position of user and described track, obtain current comparative result;
According to the corresponding relation of pre-configured comparative result and scene mode, search the scene mode that described current comparative result is corresponding, and as the current residing scene mode of user of described mobile terminal.
6. a method for recommendation information is provided, is applied to mobile terminal, comprising:
Active user's behavioral data of Real-time Obtaining local terminal, and submit to Cloud Server; And
Receive the recommendation information that described Cloud Server pushes, wherein, described recommendation information is the information that residing scene mode current with the user of described mobile terminal associates, and described scene mode is analyzed described active user's behavioral data by described Cloud Server and determined;
Described recommendation information is supplied to described user.
7. a Cloud Server, comprising:
Acquisition module, is suitable for the active user's behavioral data obtaining mobile terminal;
Determination module, is suitable for analyzing described active user's behavioral data, determines the current residing scene mode of the user of described mobile terminal;
Search module, be suitable for searching the recommendation information associated with described scene mode;
Pushing module, is suitable for pushing described recommendation information to described mobile terminal, so that described recommendation information is supplied to described user by described mobile terminal.
8. Cloud Server according to claim 7, wherein, described active user's behavioral data comprise following one of at least:
The current geographic position of user;
User is when current geographic position;
User is in current geographic position stay time;
The motion state that mobile terminal is current.
9. a mobile terminal, comprising:
Submit module to, be suitable for active user's behavioral data of Real-time Obtaining local terminal, and submit to Cloud Server;
Receiver module, be suitable for the recommendation information receiving the propelling movement of described Cloud Server, wherein, described recommendation information is the information that residing scene mode current with the user of described mobile terminal associates, and described scene mode is analyzed described active user's behavioral data by described Cloud Server and determined;
Module is provided, is suitable for described recommendation information to be supplied to described user.
10. a system for recommendation information is provided, comprises: the Cloud Server described in any one of claim 7-8 and mobile terminal according to claim 9.
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| CN201510347709.3A CN105142104A (en) | 2015-06-19 | 2015-06-19 | Method, device and system for providing recommendation information |
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Application publication date: 20151209 |