CN106034277B - A kind of information processing method and device - Google Patents

A kind of information processing method and device Download PDF

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Publication number
CN106034277B
CN106034277B CN201510102949.7A CN201510102949A CN106034277B CN 106034277 B CN106034277 B CN 106034277B CN 201510102949 A CN201510102949 A CN 201510102949A CN 106034277 B CN106034277 B CN 106034277B
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machine
circle
attribute
key operation
unit
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CN106034277A (en
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牛亚文
刘玮
匡尚超
张勇
陈宇
肖翰
王烨
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China Mobile Communications Group Co Ltd
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China Mobile Communications Group Co Ltd
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Abstract

The invention discloses a kind of information processing methods, which comprises identifies the determinant attribute of first machine from the attribute set of the first machine according to preset first matching condition, first machine is registered machine;The key operation of first machine is identified from the operational set of the first machine according to preset second matching condition;Whether the key operation of the determinant attribute and/or first machine that judge first machine meets preset concern strategy, obtains the first judging result;When first judging result show first machine determinant attribute and/or first machine key operation meet the concern it is tactful when, first machine is recommended to the owner of registered the second machine or the second machine, to realize the concern between machine.The present invention also discloses a kind of electronic equipment.

Description

A kind of information processing method and device
Technical field
The present invention relates to technology of Internet of things more particularly to a kind of information processing methods and device.
Background technique
Internet of Things (IoT, Internet of things) is the important component of generation information processing technique, and The important development stage of information age.As its name suggests, Internet of Things is exactly the connected internet of object object.This has two layers of meaning: its One, the core of Internet of Things and basis are still internet, are the networks of extension based on the internet and extension;Second, its User terminal extends and extends between any article and article, carries out information exchange and communication.As it can be seen that Internet of Things is exactly to utilize Sensor, controller, machine, personnel and object etc. are associated in one by new mode by the communication technologys such as localized network or internet It rises, forms people and be connected with object, object and object, realize information-based, remote management and control and intelligentized network.Internet of Things is internet Extension, it includes resource all on internet and internet, all applications in compatible internet.
Social networks (SNS, Social Network Site) such as microblogging, wechat, the types of facial makeup in Beijing operas (Facebook) refer to some purports It is this kind of in order to reinforce interpersonal social connection in the Internet application service for helping people to establish social network, Usually have some recommendation functions.By taking microblogging as an example, the microblog system of existing people, user usually pass through actively search for good friend into The friend that acts charitably pays close attention to or carries out good friend's concern by system recommendation.Wherein, actively searching for good friend can be regarded as by user setting one A little concern strategies, and system recommendation can be regarded as some concern strategies pre-set.Microblogging is in addition to that can carry out good friend Outside recommending, this can carry out information recommendation, and this information recommendation is generally focused on the information recommendation of same area.For example, according to The film of user browses record, recommends to browse with film to user and records relevant cinematographic work, and the cinematographic work of recommendation can be with It is the film of identical protagonist in being recorded with film browsing, or the film with same director in film browsing record, either With the film of same type in film browsing record.
With the rise of Internet of Things, many machines of user can connect network, to become user in social networks Middle a part or machine become the user of social networks.Existing social networks is typically all the behavior for being directed to people or people The social interaction server for recording and providing, the social interaction server provided there are no the behavior record for machine.
Summary of the invention
In view of this, the embodiment of the present invention be solve the problems, such as it is existing in the prior art at least one and a kind of information is provided Processing method and processing device, the social interaction server being capable of providing between machine, and then promote experience of the people as user.
The technical solution of the embodiment of the present invention is achieved in that
In a first aspect, the embodiment of the present invention provides a kind of information processing method, which comprises
The key of first machine is identified from the attribute set of the first machine according to preset first matching condition Attribute, first machine are registered machine;
The key of first machine is identified from the operational set of the first machine according to preset second matching condition Operation;
Whether the key operation of the determinant attribute and/or first machine that judge first machine meets preset pass Note strategy, obtains the first judging result;
Show the determinant attribute of first machine and/or the crucial behaviour of first machine when first judging result When work meets the concern strategy, first machine is recommended to the owner of registered the second machine or the second machine, with Realize the concern between machine.
Second aspect, the embodiment of the present invention provide a kind of information processing method, which comprises
According to the key operation of the determinant attribute of the first machine and the first machine, construct first belonging to first machine Machine circle, the first machine circle include more than one machine between each other with social networks;
According to the determinant attribute and key operation of each machine in the first machine circle, construct for identifying first machine The critical behavior of device circle, the critical behavior are used to embody in the first machine circle mutually patrolling for key operation between each machine The relationship of collecting;
Obtain the second machine circle;
The critical behavior of the first machine circle is recommended into the second machine circle, the category of each machine in the second machine circle Property and operation it is identical as the attribute of each machine in the first machine circle and operation.
The third aspect, the embodiment of the present invention provide a kind of information processing unit, and described device includes the first recognition unit, the Two recognition units, the first judging unit and the first recommendation unit, in which:
First recognition unit, for being identified from the attribute set of the first machine according to preset first matching condition The determinant attribute of first machine out, first machine are registered machine;
Second recognition unit, for being identified from the operational set of the first machine according to preset second matching condition The key operation of first machine out;
First judging unit, for judging the determinant attribute of first machine and/or the pass of first machine Whether key operation meets preset concern strategy, obtains the first judging result;
First recommendation unit, for when first judging result show first machine determinant attribute and/ Or the key operation of first machine meet the concern it is tactful when, first machine is recommended to the second registered machine The owner of device or the second machine, to realize the concern between machine.
Fourth aspect, the embodiment of the present invention provide a kind of information processing unit, and described device includes third construction unit, really Order member, acquiring unit and the second recommendation unit, in which:
The third construction unit, for according to the determinant attribute of the first machine and the key operation of the first machine, building First machine circle belonging to first machine, the first machine circle include between each other with social networks more than one Machine;
The determination unit, for the determinant attribute and key operation according to each machine in the first machine circle, building For identifying the critical behavior of the first machine circle, the critical behavior for embody in the first machine circle each machine it Between key operation mutual logical relation;
The acquiring unit, for obtaining the second machine circle;
Second recommendation unit, it is described for the critical behavior of the first machine circle to be recommended the second machine circle The attribute of each machine and operation are identical as the attribute of each machine in the first machine circle and operation in second machine circle.
Information processing method and device provided in an embodiment of the present invention, wherein according to preset first matching condition from The determinant attribute of first machine is identified in the attribute set of one machine, first machine is registered machine;It presses The key operation of first machine is identified from the operational set of the first machine according to preset second matching condition;Judge institute Whether the key operation of the determinant attribute and/or first machine of stating the first machine meets preset concern strategy, obtains the One judging result;Show the determinant attribute of first machine and/or the pass of first machine when first judging result When key operation meets the concern strategy, first machine is recommended to the master of registered the second machine or the second machine People so, it is possible to provide the social interaction server between machine, and then promote people as user's to realize the concern between machine Experience.
Detailed description of the invention
Fig. 1-1 is the relation schematic diagram of user in social networks of the embodiment of the present invention;
Fig. 1-2 is the schematic diagram migrated between scene in social networks of the embodiment of the present invention;
Fig. 1-3 is the implementation process schematic diagram of one information processing method of the embodiment of the present invention;
Fig. 2 is the implementation process schematic diagram of two information processing method of the embodiment of the present invention;
Fig. 3 is the implementation process schematic diagram of three information processing method of the embodiment of the present invention;
Fig. 4 is the implementation process schematic diagram of four information processing method of the embodiment of the present invention;
Fig. 5 is the implementation process schematic diagram of five information processing method of the embodiment of the present invention;
Fig. 6 is the composed structure schematic diagram of six information processing unit of the embodiment of the present invention;
Fig. 7 is the composed structure schematic diagram of seven information processing unit of the embodiment of the present invention;
Fig. 8 is the composed structure schematic diagram of eight information processing unit of the embodiment of the present invention;
Fig. 9 is the composed structure schematic diagram of nine intelligence concern engine of the embodiment of the present invention;
Figure 10 is the composed structure schematic diagram of ten information recommendation engine of the embodiment of the present invention.
Specific embodiment
The social networks in the internet of things era is exemplified below.In the internet of things era, the user of social networks according to The attribute at family can be divided into two classes or three classes, wherein it is people or physical objects or virtual that the attribute of user, which is primarily referred to as user, Object, wherein dummy object can refer to the application program write using computer language.It is divided into when by the user of social networks When two classes, the user of social networks include be people and object (physical objects), and when being divided into three classes, the user of social networks is divided into People, object (physical objects) and application program (dummy object);In embodiments of the present invention, mainly by the user of social networks It is divided into two classes i.e. people and object (physical objects), it is unless otherwise specified, signified in various embodiments of the present invention Object is all the object that can be connect with internet, and is the user registered on social networks, in addition, machine in the embodiment of the present invention Device and object have equivalent meanings.
As user of the object as social networks, the owner of object is also all the user of social networks, here object Owner refers to all relationships between object and people.And in existing social networks, either object actively searches for another object Body or social platform are all unable to satisfy the concern in social circle between object to another object of object recommendation, because current Social networks is only limitted to the recommendation of the record of the behavior of people, without using object as user or using object as people in social activity Movable important component, therefore, object can not actively be initiated to search for, and can not also judge whether another object of the concern Body.In addition, for information recommendation, existing technology is also not particularly suited for the information recommendation between machine, because between machine Information recommendation, it is not limited to which the recommendation of the content information of the browsing record based on people, the information recommendation between machine may be The recommendation of the application method of machine, the recommendation of agreement between even multiple machines.
Illustrate that user involved in the embodiment of the present invention, Fig. 1-1 are by taking personage user and machine customer as an example below The relation schematic diagram of user in social networks of the embodiment of the present invention, as Figure 1-1, the user in the social networks includes personage User and machine customer, wherein personage user includes three children, respectively washes in a pan naughty 10, month in and month out 20 and Le Le 30, washes in a pan 10,20 and Le Le 30 forms circle of friends month in and month out, wherein wash in a pan, month in and month out with it is happy happy be respectively three children name;And machine User includes TV user and toy user, and wherein TV user includes TV 11, TV 21 and TV 31, TV 11, TV 21 and TV 31 form TV circle, toy user includes toy 12, toy 22 and toy 32, toy 12, toy 22 and toy 32 Form toy circle;Wherein, TV 11 and toy 12, which belong to, washes in a pan 10, i.e. the owner of TV 11 and toy 12 is to wash in a pan 10;TV 21 and toy 22 belong to month in and month out 20, i.e., the owner of TV 21 and toy 22 is month in and month out 20;TV 31 and toy 32 belong to happy 30, I.e. the owner of TV 31 and toy 32 is happy 30.For washing in a pan 10, TV 11 and toy 12 can be used as and wash in a pan 10 Assets, and TV 11 and the composition of toy 12 wash in a pan 10 assets circle.For month in and month out 20, TV 21 and toy 22 be can be used as 20 assets month in and month out, and TV 21 and toy 22 form month in and month out 20 assets circle.For happy 30, TV 31 and toy 32 It can be used as happy 30 assets, and TV 31 and toy 32 form happy 30 assets circle.
Information recommendation is common function in social networks, but the social networks with user shown in Fig. 1-1, than Social networks of the existing someone as user, can carry out the information recommendation of more kinds of forms, for example, between circle of friends The various information recommendations that can carry out the social activity of people can carry out the recommendation of TV programme between TV circle;In toy Between circle, recommendation and song, story of toy application method etc. can be carried out and recommend (function depending on toy itself); Between assets circle, it can be browsed and be recorded by the TV of user, recommend corresponding story, song etc. to toy.
Other than above-mentioned information recommendation, the embodiment of the present invention further relates to another concept i.e. behavior and recommends, in order to more Good introduces behavior recommendation, and the scene of the recommendation of behavior is described below, and Fig. 1-2 is scene in social networks of the embodiment of the present invention Between the schematic diagram that migrates wash in a pan naughty father 40 as shown in Figs. 1-2 and father 50 be colleague month in and month out, wash in a pan father 40 and month in and month out father Father 50 is the good friend mutually paid close attention to, in other words, washes in a pan naughty father 40 and father 50 forms circle of friends month in and month out.
The family face for washing in a pan naughty father 40 has dust instrument 411, window brake 412 and air-conditioning 413, and wherein dust instrument is used for The dust content in air is detected, window brake is for opening window or closing window, the dust instrument 411, window system in family Dynamic device 412 and air-conditioning 413 form household circle 410;The vehicle face for washing in a pan naughty father 40 has dust instrument 421, window brake 422 and sky 423 are adjusted, dust instrument 421, window brake 422 and air-conditioning 423 form vehicle and occupy circle 420;The office for washing in a pan naughty father 40 has powder Dirt instrument 431, window brake 432 and air-conditioning 433, dust instrument 431, window brake 432 and the composition office of air-conditioning 433 circle 430. And father 50 also has car, including dust instrument 511, window brake 512 and air-conditioning 513 month in and month out, wherein dust instrument 511, window Brake 512 and air-conditioning 513 form vehicle and occupy circle 510.
It is now assumed that the Che Juquan, household circle and each object (machine) in enclosing of handling official business in Fig. 1-2 are the object of Internet of Things Body, and registered all on the platform of social networks.Naughty owner of the father 40 as vehicle is washed in a pan, naturally also occupies each machine in circle for vehicle Owner, it is assumed that wash in a pan naughty father 40 set each machine that vehicle occupies circle logic it is as follows: when dust instrument 421 detects dust (such as When PM2.5) being greater than 200, window is automatically closed window brake 422;When window is closed, if the temperature sensor in air-conditioning Temperature is higher than 28 degree to home for detection, then air-conditioning is started to work, and parameter when work is 25 degree of temperature, refrigeration mode, sweeps up and down Wind etc..Due to the family and office of washing in a pan naughty father 40 also have with machine identical in car, wash in a pan naughty father and vehicle occupied The logic between each machine being arranged in circle is equally applicable to wash in a pan the office circle and household circle of naughty father, and therefore, social platform can The Action logic in enclosing between each machine is occupied with the vehicle for washing in a pan naughty father by record, and behavior logic is recommended and washes in a pan naughty father's Vehicle occupies circle and office circle.Since to occupy circle similar with the Che Juquan for washing in a pan naughty father for the vehicle of father month in and month out, wash in a pan naughty father Che Ju circle Action logic between interior each machine, is equally applicable to the Che Juquan of father month in and month out, and therefore, social platform can be washed in a pan by recording The vehicle for washing in a pan father occupies the Action logic enclosed between interior each machine, and behavior logic is recommended to the Che Juquan of father month in and month out.
The technical solution of the present invention is further elaborated in the following with reference to the drawings and specific embodiments.
Embodiment one
The embodiment of the present invention provides a kind of information processing method, and this method is applied to server end, and server refers to offer The server of social networks, by taking microblogging as an example, server, which refers to, provides the server of microblogging function.Information processing method institute is real Existing function can realize that certain program code can be stored in calculating by the processor caller code in server In machine storage medium.
Fig. 1-3 is the implementation process schematic diagram of one information processing method of the embodiment of the present invention, as shown in Figure 1-3, this method Include:
Step 101, first machine is identified from the attribute set of the first machine according to preset first matching condition The determinant attribute of device;
Here, first machine can be a machine, or more than one machine.
Here, first machine is registered machine;Below by taking toy represents the first machine as an example, to illustrate machine Attribute;The attribute that wherein toy may have has: toy logo (ID) information, toy title, brand, model, color, material Matter, type, description, position, owner, price, applicable age, bean vermicelli list, concern list etc.;Common group of these attributes of toy At the attribute set of toy.
Here, first matching condition is some conditions related with the attribute set of the first machine, is being embodied During, the first matching condition can be arranged according to the attribute of machine in those skilled in the art, wherein setting first It include the setting of single attribute or the setting of composite attribute with condition, wherein the setting of single attribute refers to, when the first machine When for toy, the first matching condition can be the title of toy;Alternatively, the first matching condition can be the model of toy;Combination The setting of attribute refers to, when the first machine is toy, the first matching condition can be the model and title of toy.
Step 102, first machine is identified from the operational set of the first machine according to preset second matching condition The key operation of device;
Here, continue by taking toy as an example, to illustrate the operational set of the first machine, the operation of toy be may include: concern Good friend, removal good friend, content downloading, music, story broadcasting etc..These operations of toy collectively constitute the operation set of toy It closes.
Here, the second matching condition is some conditions related with the operational set of the first machine, in the mistake of specific implementation The second matching condition can be arranged according to the operation of machine in Cheng Zhong, those skilled in the art, wherein setting the second matching item Part includes the setting of setting or the combination operation of single operation, wherein the setting of single operation refers to, when the first machine is to play When tool, the second matching condition can be downloaded for content;Alternatively, the second matching condition can play for story;Combination operation is set It sets and refers to, when the first machine is toy, the first matching condition can be content downloading and story broadcasting etc..
Step 103, whether the key operation of the determinant attribute and/or first machine that judge first machine meets Preset concern strategy, obtains the first judging result;
Here, the concern strategy refers to the crucial behaviour of determinant attribute and/or first machine according to the first machine The some conditions made and be arranged.
Step 104, when first judging result show first machine determinant attribute and/or first machine Key operation meet the concern it is tactful when, first machine is recommended to registered the second machine or the second machine Owner, to realize the concern between machine.
Here, second machine includes a machine, also may include more than one machine.
Technical method provided in an embodiment of the present invention can be used for following scene, and continuation is with scene shown in Fig. 1-1 Example, is washed in a pan and happy pleasure is the good friend in circle of friends, is washed in a pan 10 and is possessed a toy 12 and a TV 11, the toy 12 and electricity Depending on 11 be social networks user;And happy 30 only one TV 31;But pleasure happy 30 is newest recently adds toy 32, it is assumed that The attribute of toy 32 is identical as the attribute of toy 12, and the operation of toy 32 is similarly identical as the operation of toy 12.Then happy 30 are registered as toy 32 user of social networks, and after the completion of registration, social networks can get attribute and the operation of toy 32. It is operated in advance based on aforementioned these, technical solution provided in an embodiment of the present invention is implemented with, and the server of social platform is pressed The determinant attribute of first machine is identified from the attribute set of the first machine according to preset first matching condition, social activity is flat The server of platform identifies the pass of first machine according to preset second matching condition from the operational set of the first machine Key operation;Then, it is pre- to judge that the determinant attribute of first machine and/or the key operation of first machine meet for server If concern strategy, the first machine is recommended to the owner of registered the second machine or the second machine, to realize between machine Concern.In embodiments of the present invention, the first machine can be toy 12, then the second machine can be toy 32;Certainly, One machine can be toy 32, then the second machine can be toy 12.
Embodiment two
Based on embodiment one above-mentioned, the embodiment of the present invention provides a kind of information processing method, and Fig. 2 is the embodiment of the present invention The implementation process schematic diagram of two information processing methods, as shown in Fig. 2, this method comprises:
Step 201, attribute library is constructed, is found out from the attribute library according to the identification information of first machine described The attribute set of first machine;
It here, include the attribute of registered machine in the attribute library, attribute library can be carried out according to following form Design:
Field one: machine type;
Field two: attribute 1;
Field three: attribute 2;
Field four: ...;
The attribute library of building can be simple tables of data, can also analyze the data obtained by the data of magnanimity Table.
Step 202, first machine is identified from the attribute set of the first machine according to preset first matching condition The determinant attribute of device;
Here, first machine is registered machine.It should be noted that the embodiment of the present invention can also include one Determinant attribute library, the determinant attribute library can also be the determinant attribute only including registered all machines, accordingly, described Method further include: building determinant attribute library, i.e., the determinant attribute identified step 202 are stored in determinant attribute library.It is crucial Attribute library can be designed according to following form:
Field one: object type
Field two: determinant attribute 1;
Field three: determinant attribute 2;
Field four: ...;
The determinant attribute library of building, can be simple tables of data, can also be analyzed and be extracted by the data of magnanimity The determinant attribute including all kinds of articles tables of data.
Step 203, building operation library is found out from the operation library described according to the identification information of first machine The operational set of first machine.
It here, include the operation of registered machine in the operation library;Operation library can be carried out according to following form Design:
Field one: machine type;
Field two: operation 1;
Field three: operation 2;
Field four: ...;
The operation library of building can be simple tables of data, can also analyze the data obtained by the data of magnanimity Table.
Step 204, first machine is identified from the operational set of the first machine according to preset second matching condition The key operation of device;
Here, the embodiment of the present invention can also include a key operation library, and the key operation library, which can also be, only wraps The key operation of registered all machines is included, accordingly, the method also includes: building key operation library, i.e., by step 204 The key operation identified is stored in key operation library.Key operation library can be designed according to following form:
Field one: object type
Field two: key operation 1;
Field three: key operation 2;
Field four: ...;
The key operation library of building, can be simple tables of data, can also be analyzed and be extracted by the data of magnanimity The key operation including all kinds of articles tables of data.
Step 205, whether the key operation of the determinant attribute and/or first machine that judge first machine meets Preset concern strategy, obtains the first judging result;
Step 206, when first judging result show first machine determinant attribute and/or first machine Key operation meet the concern it is tactful when, first machine is recommended to registered the second machine or the second machine Owner, to realize the concern between machine.
Embodiment three
Based on embodiment one above-mentioned and embodiment two, the embodiment of the present invention provides a kind of information processing method, and Fig. 3 is this The implementation process schematic diagram of three information processing method of inventive embodiments, as shown in figure 3, this method comprises:
Step 301, according to the key operation of the determinant attribute of first machine and first machine, described is determined First machine circle belonging to one machine;
Here, the first machine circle includes more than one machine between each other with social networks;
Here, the determinant attribute of first machine can be obtained by the method in embodiment two, specifically, be obtained The determinant attribute for taking the first machine includes: building attribute library, includes the attribute of registered machine in the attribute library, according to institute The identification information for stating the first machine finds out the attribute set of first machine from the attribute library, then according to preset First matching condition identifies the determinant attribute of first machine from the attribute set of the first machine.
Here, the operational attribute of first machine can be obtained by the method in embodiment two, specifically, be obtained The operational attribute for taking the first machine includes: building operation library, includes the operation of registered machine in the operation library, according to institute The identification information for stating the first machine finds out the operational set of first machine from the operation library, according to preset second Matching condition identifies the key operation of first machine from the operational set of the first machine.
Step 302, it according to the determinant attribute and key operation of each machine in the first machine circle, constructs for identifying State the critical behavior of the first machine circle;
Here, the critical behavior is used to embody the mutual logic of key operation between each machine in the first machine circle Relationship;
Step 303, the second machine circle is obtained;
Here, step 303, the second machine circle of the acquisition, comprising:
Step 3031, the determinant attribute and key operation of each machine in the first machine circle are analyzed;
Step 3032, each machine identical with the determinant attribute of each machine in the first machine circle and key operation is obtained Device;
Step 3033, each machine for meeting preset condition is formed into the second machine circle.
Here, the preset condition can for the following conditions at least any one: between the same owner, owner preferably Friend, with geographical location in pre-determined distance threshold range etc..By taking Fig. 1-2 as an example, it is assumed that dust instrument 411, window braking The household circle 410 that device 412 and air-conditioning 413 are constituted is the first machine circle, when preset condition is the same owner, identify the The vehicle that two machine circles can be constituted for dust instrument 421, window brake 422 and air-conditioning 423 occupies circle 420, alternatively, identify the The office circle 430 that two machine circles can be constituted for dust instrument 431, window brake 432 and air-conditioning 433.Based on preset condition When good friend between people, the second machine circle can also include that the vehicle that forms of dust instrument 511, window brake 512 and air-conditioning 513 occupies Circle 510.
Step 304, the critical behavior of the first machine circle is recommended into the second machine circle, it is each in the second machine circle The attribute of machine and operation are identical as the attribute of each machine in the first machine circle and operation.
Example IV
Based on embodiment three above-mentioned, the embodiment of the present invention provides a kind of information processing method, and Fig. 4 is the embodiment of the present invention The implementation process schematic diagram of four information processing methods, as shown in figure 4, this method comprises:
Step 401, according to the key operation of the determinant attribute of first machine and first machine, described is determined First machine circle belonging to one machine;
Step 402, it according to the determinant attribute and key operation of each machine in the first machine circle, constructs for identifying State the critical behavior of the first machine circle;
Step 403, the second machine circle is obtained;
Here, step 403, the second machine circle of the acquisition, comprising:
Step 4031, the determinant attribute and key operation of each machine in the first machine circle are analyzed;
Step 4032, each machine identical with the determinant attribute of each machine in the first machine circle and key operation is obtained Device;
Step 4033, each machine for meeting preset condition is formed into the second machine circle.
Step 404, judge whether the critical behavior of the first machine circle meets preset machine behavioral strategy, obtain Two judging results;
Step 405, when second judging result shows that the critical behavior of the first machine circle meets preset machine When behavioral strategy, the critical behavior of the first machine circle is recommended into the second machine circle, each machine in the second machine circle Attribute and operation it is identical as the attribute of each machine in the first machine circle and operation.
Embodiment five
Based on embodiment one above-mentioned, the embodiment of the present invention provides a kind of information processing method, and Fig. 5 is the embodiment of the present invention The implementation process schematic diagram of five information processing methods, as shown in figure 5, this method comprises:
Step 501, signature analysis is carried out to the key operation of first machine, obtains key relevant to application method Operation;
Step 502, it according to the key operation of the determinant attribute of first machine and/or first machine, identifies Third machine;
Here, the determinant attribute of first machine can be obtained by the method in embodiment two, specifically, be obtained The determinant attribute for taking the first machine includes: building attribute library, includes the attribute of registered machine in the attribute library, according to institute The identification information for stating the first machine finds out the attribute set of first machine from the attribute library, then according to preset First matching condition identifies the determinant attribute of first machine from the attribute set of the first machine.
Here, the operational attribute of first machine can be obtained by the method in embodiment two, specifically, be obtained The operational attribute for taking the first machine includes: building operation library, includes the operation of registered machine in the operation library, according to institute The identification information for stating the first machine finds out the operational set of first machine from the operation library, according to preset second Matching condition identifies the key operation of first machine from the operational set of the first machine.
Step 503, the third machine is recommended into the key operation relevant to application method.
The embodiment of the present invention, which provides technical solution, can be used for following scene, for continuing the scene shown in Fig. 1-1, wash in a pan It washes in a pan and happy pleasure is the good friend in circle of friends, wash in a pan 10 and possess a toy 12;And happy 30 also have a toy 32, it is assumed that play The attribute of tool 32 is identical as the attribute of toy 12, and the operation of toy 32 is similarly identical as the operation of toy 12.Assuming that toy 12 Key operation include: that content downloading+music+story plays, after being analyzed by the key operation to toy 12, hair Existing content downloading is key operation relevant to the application method of toy 12;Then according to the determinant attribute of the toy 12 and/ Or the key operation of toy, it identifies toy 32, toy 32 then is recommended into content downloading;Specifically, if washing in a pan naughty object for appreciation Tool 12 has downloaded a first newest popular song " griggles ", then social platform toy 12 will be downloaded " griggles " this Thing recommends happy toy 32.
Embodiment six
Based on above-mentioned embodiment of the method, the embodiment of the present invention provides a kind of information processing unit, each list in the device Each module respectively included can be realized by the server in social platform in member and each unit;It certainly can also It is realized by specific logic circuit;During specific embodiment, processor can be central processing unit (CPU), micro- place Reason device (MPU), digital signal processor (DSP) or field programmable gate array (FPGA) etc..
Fig. 6 is the composed structure schematic diagram of six information processing unit of the embodiment of the present invention, as shown in fig. 6, the information processing Device 600 includes the first recognition unit 601, the second recognition unit 602, the first judging unit 603 and the first recommendation unit 604, Wherein:
First recognition unit 601, for according to preset first matching condition from the attribute set of the first machine Identify the determinant attribute of first machine, first machine is registered machine;
Second recognition unit 602, for according to preset second matching condition from the operational set of the first machine Identify the key operation of first machine;
First judging unit 603, for judge first machine determinant attribute and/or first machine Whether key operation meets preset concern strategy, obtains the first judging result;
First recommendation unit 604, for showing the determinant attribute of first machine when first judging result And/or the key operation of first machine meet the concern it is tactful when, first machine is recommended registered the The owner of two machines or the second machine, to realize the concern between machine.
In the embodiment of the present invention, described device further includes third construction unit, determination unit, acquiring unit and the second recommendation Unit, in which:
The third construction unit, for being grasped according to the determinant attribute of first machine and the crucial of first machine Make, construct the first machine circle belonging to first machine, the first machine circle includes having social networks between each other More than one machine;
The determination unit is determined for the determinant attribute and key operation according to each machine in the first machine circle For identifying the critical behavior of the first machine circle, the critical behavior for embody in the first machine circle each machine it Between key operation mutual logical relation;
The acquiring unit, for obtaining the second machine circle;
Here, the acquiring unit, including analysis module, acquisition module and determining module, in which:
The analysis module, for analyzing the determinant attribute and key operation of each machine in the first machine circle;
The acquisition module is identical as the determinant attribute of each machine and key operation in the first machine circle for obtaining Each machine;
The determining module, for each machine for meeting preset condition to be determined as the second machine circle.
Second recommendation unit, it is described for the critical behavior of the first machine circle to be recommended the second machine circle The attribute of each machine and operation are identical as the attribute of each machine in the first machine circle and operation in second machine circle.
In the embodiment of the present invention, described device further includes second judgment unit, for judging the pass of the first machine circle Whether key behavior meets the preset behavioral strategy that shuts down, and obtains the second judging result;When second judging result shows institute When stating the critical behavior of the first machine circle and meeting preset machine behavioral strategy, second recommendation unit is triggered.
In the embodiment of the present invention, described device further includes characteristic analysis unit, third recognition unit and third recommendation unit, Wherein:
The characteristic analysis unit carries out signature analysis for the key operation to first machine, obtains and use The relevant key operation of method;
The third recognition unit, for according to the determinant attribute of first machine and/or the pass of first machine Key operation identifies third machine;
The third recommendation unit, for the third machine to be recommended in the key operation relevant to application method Device.
Embodiment seven
Based on the above embodiments, the embodiment of the present invention provides a kind of information processing unit, each unit in the device, with And respective included each module can be realized by the server in social platform in each unit;Certainly it can also pass through tool The logic circuit of body is realized;During specific embodiment, processor can be central processing unit (CPU), microprocessor (MPU), digital signal processor (DSP) or field programmable gate array (FPGA) etc..
Fig. 7 is the composed structure schematic diagram of seven information processing unit of the embodiment of the present invention, as shown in fig. 7, the information processing Device 700 includes the first construction unit 701, the first searching unit 702, the first recognition unit 703, the second construction unit 704, the Two searching units 705, the second recognition unit 706, the first judging unit 707 and the first recommendation unit 708, in which:
First construction unit 701 includes the category of registered machine for constructing attribute library, in the attribute library Property;
First searching unit 702, for being searched from the attribute library according to the identification information of first machine The attribute set of first machine out;
First recognition unit 703, for according to preset first matching condition from the attribute set of the first machine Identify the determinant attribute of first machine, first machine is registered machine;
Second construction unit 704 includes the behaviour of registered machine for constructing operation library, in the operation library Make;
Second searching unit 705, for being searched from the operation library according to the identification information of first machine The operational set of first machine out.
Second recognition unit 706, for according to preset second matching condition from the operational set of the first machine Identify the key operation of first machine;
First judging unit 707, for judge first machine determinant attribute and/or first machine Whether key operation meets preset concern strategy, obtains the first judging result;
Described first recommends single 708, for show when first judging result first machine determinant attribute and/ Or the key operation of first machine meet the concern it is tactful when, first machine is recommended to the second registered machine The owner of device or the second machine, to realize the concern between machine.
Embodiment eight
Based on the above embodiments, the embodiment of the present invention provides a kind of information processing unit, each unit in the device, with And respective included each module can be realized by the server in social platform in each unit;Certainly it can also pass through tool The logic circuit of body is realized;During specific embodiment, processor can be central processing unit (CPU), microprocessor (MPU), digital signal processor (DSP) or field programmable gate array (FPGA) etc..
Fig. 8 is the composed structure schematic diagram of eight information processing unit of the embodiment of the present invention, as shown in figure 8, the information processing Device 800 includes third construction unit 801, determination unit 802, acquiring unit 803 and the second recommendation unit 804, in which:
The third construction unit 801, for according to the determinant attribute of first machine and the pass of first machine Key operation, constructs the first machine circle belonging to first machine, and the first machine circle includes having social close between each other The more than one machine of system;
The determination unit 802, for the determinant attribute and key operation according to each machine in the first machine circle, really Determine the critical behavior for identifying the first machine circle, the critical behavior is for embodying each machine in the first machine circle Between key operation mutual logical relation;
The acquiring unit 803, for obtaining the second machine circle;
Here, the acquiring unit, including analysis module, acquisition module and determining module, in which:
The analysis module, for analyzing the determinant attribute and key operation of each machine in the first machine circle;
The acquisition module is identical as the determinant attribute of each machine and key operation in the first machine circle for obtaining Each machine;
The determining module, for each machine for meeting preset condition to be determined as the second machine circle.
Second recommendation unit 804, for the critical behavior of the first machine circle to be recommended the second machine circle, institute It is identical as the attribute of each machine in the first machine circle and operation to state the attribute of each machine and operation in the second machine circle.
In the embodiment of the present invention, described device further includes second judgment unit, for judging the pass of the first machine circle Whether key behavior meets preset machine behavioral strategy, obtains the second judging result;Described in showing when second judging result When the critical behavior of first machine circle meets preset machine behavioral strategy, second recommendation unit is triggered.
In the embodiment of the present invention, described device further includes characteristic analysis unit, third recognition unit and third recommendation unit, Wherein:
The characteristic analysis unit carries out signature analysis for the key operation to first machine, obtains and use The relevant key operation of method;
The third recognition unit, for according to the determinant attribute of first machine and/or the pass of first machine Key operation identifies third machine;
The third recommendation unit, for the third machine to be recommended in the key operation relevant to application method Device.
It need to be noted that: the description of apparatus above embodiment, be with the description of above method embodiment it is similar, With the similar beneficial effect of same embodiment of the method, therefore do not repeat them here.For undisclosed skill in apparatus of the present invention embodiment Art details please refers to the description of embodiment of the present invention method and understands, to save length, therefore repeats no more.
Embodiment nine
It is an important function in social networks that good friend, which pays close attention to function, for the scene shown in Fig. 1-1, how to be realized The automatic building of TV circle, toy circle, assets circle? for the microblog system of people, user can pass through active search or system Association friend recommendation carry out good friend's concern.And for the social networks of machine, social platform needs to calculate by certain intelligence Method calculates the correlation between each machine, analyzes the demand of its potential social circle, to realize the building of machine social circle.Example Such as, the building of TV circle, is the relationship analyzed its owner due to social platform and establish circle of friends, and these three owner's ages It is close, all it is child, there may be common television-viewing hobby, three TVs are then set up into TV circle.The structure of toy circle Build similar, platform passes through certain intellectual analysis, it is believed that three children may have identical toy to like, and these three toys All it is same money product, sharing for some music and story can be carried out, then establish toy circle.Similarly, the building of assets circle, by There may be certain potential connections between toy and TV under Platform Analysis to same owner, such as theme music, story Recommendation, therefore establish assets circle.
In order to realize above-mentioned good friend's concern function, an intelligence concern engine can be designed, Fig. 9 is the embodiment of the present invention The composed structure schematic diagram of nine intelligence concern engines, as shown in figure 9, intelligence concern engine includes two main modulars: machine is special It levies analysis module and machine intelligence pays close attention to module.Wherein:
Machine characteristic analysis module, it is intended to from all properties and operation set of machine, identify and can be used in intelligent pass The machine characteristic of note, the i.e. key operation of the determinant attribute of machine and machine.The machine characteristic analysis module can be divided into machine again Two submodules of attributive analysis submodule and machine behavioural analysis submodule.Wherein, machine attribute analysis module is fixed according to machine The all properties of justice, and from the matched attribute of determinant attribute library lookup as determinant attribute.Machine behavioural analysis submodule and machine Device attributive analysis submodule is similar, and machine behavioural analysis submodule is from the matched operation of key operation library lookup as crucial behaviour Make.
For example, the attribute that toy has may include: toy ID, title, brand, model, color, material, type, retouch It states, position, owner, price, be applicable in age, bean vermicelli list, concern list etc..The operation that toy has may include: to pay close attention to Friend, removal good friend, content downloading, music, story broadcasting etc..Machine characteristic analysis module, according to determinant attribute library and pass Key operation library is realized from the numerous attributes and operation of machine, identifies determinant attribute relevant to application method recommendation function With operation, such as: title+model of toy+content is downloaded.
Machine intelligence pays close attention to module, pays close attention to strategy, the settable difference of different application scenarios according to the machine of application settings Concern strategy, the concern strategy dependent on machine attribute and behavior operation, can be set to the weighting of multiple attribute/operations It is average, and machine characteristics analysis module is combined as a result, realizing the intelligence concern between machine.It should be noted that between machine Potential social networks can be embodied by the correlation between machine.Correlation between machine can pay close attention to plan by machine That omits is set for calculating.Machine concern strategy can be simple artificial experience setting, can also pass through the skills such as machine learning Art optimizes.
Embodiment ten
Information recommendation is another critical function of social networks.During specific implementation, in order to realize that information pushes away Function is recommended, an information recommendation engine can be designed.Figure 10 is that the composed structure of ten information recommendation engine of the embodiment of the present invention is shown It is intended to, as shown in Figure 10, information recommendation engine mainly includes three big main functional modules: content information recommending module, user Method recommending module and machine behavior recommending module, in which:
1) content information recommending module can use information recommendation function in the prior art, therefore repeat no more.
2) application method recommending module is for realizing application method recommendation, and different from human user, machine is removed as user Possess except self attributes, it is also possible to possess the operation that can be executed.For example, toy can be sung by network configuration The down operations such as song, story.After toy 1 successfully completes the configuration and downloads song, story, platform can be by toy 1 Configuration method, method for down loading etc. recommend other toys in toy circle.
Application method recommending module realizes that the application method of matching machine time is recommended.The application method recommending module is divided into Three submodules: machine characteristic analyzes submodule, application method the matching analysis submodule, application method and recommends submodule, in which:
Machine characteristic analyzes submodule, realizes to the determinant attribute of machine and the signature analysis of key operation.For example, toy The attribute that may have has: toy ID, title, brand, model, color, material, type, description, position, owner, price, fitting With age, bean vermicelli list, concern list etc..The operation that may have has: concern good friend, removal good friend, content downloading, music are broadcast Put, story play etc..Machine characteristic analyzes submodule, according to determinant attribute library and key operation library, realizes from the numerous of machine In attribute and operation, determinant attribute relevant to application method recommendation function and operation are identified, such as: title+model of toy+ Content downloading.
Application method the matching analysis submodule, according to the output of machine characteristic behavioural analysis module as a result, as determinant attribute+ Key operation is identified in machine circle by certain intelligent algorithm as toy circle is suitble to the correlation machine of the application method.Intelligence Energy algorithm can be following most simple direct algorithm, that is, carry out determinant attribute+key operation matching of two machines, if Exact matching, then it is assumed that the usability methods of machine 1 can recommend machine 2.But the algorithm has one-sidedness.For example, 1 Music doll full of joy, 1 little white rabbit music doll, their toy title and model difference, but can play same Music and story, so the music 1 of music doll full of joy downloading, is equally applicable to little white rabbit music doll.Equally, if only It goes to judge from key operation, there is also one-sidedness.Therefore, application method matching analysis module is needed according to machine characteristic behavior The output result (determinant attribute+key operation) of analysis module, and analyzed by certain intelligent algorithm, it might even be possible to it adopts It is constantly improved with machine learning algorithm, the target machine that final output application method is recommended.Machine intelligence above-mentioned pays close attention to mould Block pseudo Algorithm can be used as one of algorithm implementation of the module, and and therefore not to repeat here.
Application method recommends submodule, according to the output of application method matching analysis module as a result, by the user of machine 1 Method recommends other machines.For example, toy 1 has downloaded music the Smurfs by network configuration, it can be by its network configuration and sound Happy method for down loading recommends other toys in circle.If it is identical machine, recommended engine even can directly by Other that be recommended toy is written in relevant configuration information, to realize that the full-automatic configuration that prosthetic participates in is downloaded.
3) machine behavior recommending module (can be the inherent operation logic of machine for realizing machine behavior recommendation Linkage between multimachine device, referring to Fig.1 scene shown in -2) recommend other machines.Machine behavior recommending module includes three Submodule: submodule is recommended in machine behavioural analysis submodule, machine behavior the matching analysis submodule, machine behavior.
Machine behavioural analysis module, the main logic behavior analysis for realizing machine, and by its feature extraction to machine behavior In strategy.For example, scene is recommended in the behavior in scene imagination, each logic of machine behavior in household circle is as follows: when dust instrument is examined When measuring dust concentration (such as PM2.5) greater than 200, just window is automatically closed for window brake;When window is closed, if empty Temperature is higher than 28 degree to home for temperature sensor detection on tune, then opens air-conditioning, parameter when air-conditioning work be 25 degree of temperature, The parameters such as refrigeration mode, vertical swing flap.Machine behavioural analysis module analyzes the machine behavior in household circle, and extracts Machine behavioral strategy (Policy), as follows:
Policy1:
Actor:Window1;
Action:Close;
Condition:PM2.5>200.
Policy2:
Actor:Air_conditioner1
Action:Set temprature=25;Set model=cold;Set wind=up-down;
Condition:Window.status=close&&Home.tempreture > 28
Machine behavior the matching analysis submodule, read machine behavioral strategy file extract the behavior for executing machine behavior Main body, and the matching analysis is carried out in association circle, finally identify the target machine (circle) that machine behavior is recommended.
Submodule is recommended in machine behavior, is intended to the machine row strategy recommended, and recommends to machine behavior matching analysis module to know Not Chu target machine (circle), i.e., in machine behavioral strategy be added target machine (circle) strategy.
Although it should be noted that each module of the embodiment of the present invention nine and each module in embodiment ten with it is aforementioned Each component part is different on the call of title in information processing unit embodiment, but it should be appreciated by those skilled in the art , the function and indifference that embodiment nine and ten and Installation practice four above-mentioned are realized, for example, machine characteristic analyzes mould Machine attribute analysis submodule can be realized by the first construction unit, the first searching unit and the first recognition unit in block, Machine behavioural analysis submodule can be realized by the second construction unit, the second searching unit and the second recognition unit.
It should be understood that " one embodiment " or " embodiment " that specification is mentioned in the whole text mean it is related with embodiment A particular feature, structure, or characteristic is included at least one embodiment of the present invention.Therefore, occur everywhere in the whole instruction " in one embodiment " or " in one embodiment " not necessarily refer to identical embodiment.In addition, these specific features, knot Structure or characteristic can combine in any suitable manner in one or more embodiments.It should be understood that in various implementations of the invention In example, magnitude of the sequence numbers of the above procedures are not meant that the order of the execution order, the execution sequence Ying Yiqi function of each process It can determine that the implementation process of the embodiments of the invention shall not be constituted with any limitation with internal logic.
In several embodiments provided herein, it should be understood that disclosed device and method can pass through it Its mode is realized.Apparatus embodiments described above are merely indicative, for example, the division of the unit, only A kind of logical function partition, there may be another division manner in actual implementation, such as: multiple units or components can combine, or It is desirably integrated into another system, or some features can be ignored or not executed.In addition, shown or discussed each composition portion Mutual coupling or direct-coupling or communication connection is divided to can be through some interfaces, the INDIRECT COUPLING of equipment or unit Or communication connection, it can be electrical, mechanical or other forms.
Above-mentioned unit as illustrated by the separation member, which can be or may not be, to be physically separated, aobvious as unit The component shown can be or may not be physical unit;Both it can be located in one place, and may be distributed over multiple network lists In member;Some or all of units can be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
In addition, each functional unit in various embodiments of the present invention can be fully integrated in one processing unit, it can also To be each unit individually as a unit, can also be integrated in one unit with two or more units;It is above-mentioned Integrated unit both can take the form of hardware realization, can also realize in the form of hardware adds SFU software functional unit.
Those of ordinary skill in the art will appreciate that: realize that all or part of the steps of above method embodiment can pass through The relevant hardware of program instruction is completed, and program above-mentioned can store in computer-readable storage medium, which exists When execution, step including the steps of the foregoing method embodiments is executed;And storage medium above-mentioned includes: movable storage device, read-only deposits The various media that can store program code such as reservoir (Read Only Memory, ROM), magnetic or disk.
If alternatively, the above-mentioned integrated unit of the present invention is realized in the form of software function module and as independent product When selling or using, it also can store in a computer readable storage medium.Based on this understanding, the present invention is implemented Substantially the part that contributes to existing technology can be embodied in the form of software products the technical solution of example in other words, The computer software product is stored in a storage medium, including some instructions are used so that computer equipment (can be with It is personal computer, server or network equipment etc.) execute all or part of each embodiment the method for the present invention. And storage medium above-mentioned includes: various Jie that can store program code such as movable storage device, ROM, magnetic or disk Matter.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.

Claims (16)

1. a kind of information processing method, which is characterized in that the described method includes:
The determinant attribute of first machine is identified from the attribute set of the first machine according to preset first matching condition, First machine is registered machine;
The key operation of first machine is identified from the operational set of the first machine according to preset second matching condition;
Whether the key operation of the determinant attribute and/or first machine that judge first machine meets preset concern plan Slightly, the first judging result is obtained;
When first judging result show first machine determinant attribute and/or first machine key operation it is full When the foot concern is tactful, first machine is recommended to the owner of registered the second machine or the second machine, to realize Concern between machine.
2. described the method according to claim 1, wherein first machine includes more than one machine Second machine includes more than one machine.
3. the method according to claim 1, wherein according to preset first matching condition from the first machine Before the determinant attribute for identifying first machine in attribute set, the method also includes:
Attribute library is constructed, includes the attribute of registered machine in the attribute library, according to the identification information of first machine The attribute set of first machine is found out from the attribute library;
Building operation library, the operation operated including registered machine in library, according to the identification information of first machine The operational set of first machine is found out from the operation library.
4. the method according to claim 1, wherein the method also includes:
According to the key operation of the determinant attribute of first machine and first machine, determine belonging to first machine First machine circle, the first machine circle include more than one machine between each other with social networks;
According to the determinant attribute and key operation of each machine in the first machine circle, construct for identifying the first machine circle Critical behavior, the critical behavior be used for embody key operation between each machine in the first machine circle mutual logic close System;
Obtain the second machine circle;
The critical behavior of the first machine circle is recommended into the second machine circle, in the second machine circle the attribute of each machine and It operates identical as the attribute of each machine in the first machine circle and operation.
5. according to the method described in claim 4, it is characterized in that, recommending in the critical behavior by the first machine circle Before the second machine circle, the method also includes:
Judge whether the critical behavior of the first machine circle meets preset machine behavioral strategy, obtains the second judging result;
It, will when second judging result shows that the critical behavior of the first machine circle meets preset machine behavioral strategy The critical behavior of the first machine circle recommends the second machine circle.
6. according to the method described in claim 4, it is characterized in that, the second machine circle of the acquisition, comprising:
Analyze the determinant attribute and key operation of each machine in the first machine circle;
Obtain each machine identical with the determinant attribute of each machine in the first machine circle and key operation;
Each machine for meeting preset condition is formed into the second machine circle.
7. method according to any one of claims 1 to 6, which is characterized in that the method also includes:
Signature analysis is carried out to the key operation of first machine, obtains key operation relevant to application method;
According to the key operation of the determinant attribute of first machine and/or first machine, third machine is identified;
The third machine is recommended into the key operation relevant to application method.
8. a kind of information processing method, which is characterized in that the described method includes:
According to the key operation of the determinant attribute of the first machine and the first machine, the first machine belonging to first machine is constructed Circle, the first machine circle include more than one machine between each other with social networks;
According to the determinant attribute and key operation of each machine in the first machine circle, construct for identifying the first machine circle Critical behavior, the critical behavior be used for embody key operation between each machine in the first machine circle mutual logic close System;
Obtain the second machine circle;
The critical behavior of the first machine circle is recommended into the second machine circle, in the second machine circle the attribute of each machine and It operates identical as the attribute of each machine in the first machine circle and operation.
9. according to the method described in claim 8, it is characterized in that, recommending in the critical behavior by the first machine circle Before the second machine circle, the method also includes:
Judge whether the critical behavior of the first machine circle meets preset machine behavioral strategy, obtains the second judging result;
It, will when second judging result shows that the critical behavior of the first machine circle meets preset machine behavioral strategy The critical behavior of the first machine circle recommends the second machine circle.
10. a kind of information processing unit, which is characterized in that described device includes the first recognition unit, the second recognition unit, first Judging unit and the first recommendation unit, in which:
First recognition unit, for identifying institute from the attribute set of the first machine according to preset first matching condition The determinant attribute of the first machine is stated, first machine is registered machine;
Second recognition unit, for identifying institute from the operational set of the first machine according to preset second matching condition State the key operation of the first machine;
First judging unit, for judging the determinant attribute of first machine and/or the crucial behaviour of first machine Whether meet preset concern strategy, obtains the first judging result;
First recommendation unit, for showing determinant attribute and/or the institute of first machine when first judging result State the first machine key operation meet the concern it is tactful when, by first machine recommend registered the second machine or The owner of second machine, to realize the concern between machine.
11. device according to claim 10, which is characterized in that described device further includes the first construction unit, first looks into Look for unit, the second construction unit and the second searching unit, in which:
First construction unit includes the attribute of registered machine for constructing attribute library, in the attribute library;
First searching unit, for finding out described from the attribute library according to the identification information of first machine The attribute set of one machine;
Second construction unit includes the operation of registered machine for constructing operation library, in the operation library;
Second searching unit finds out described for the identification information according to first machine from the operation library The operational set of one machine.
12. device according to claim 10, which is characterized in that described device further includes third construction unit, determines list Member, acquiring unit and the second recommendation unit, in which:
The third construction unit, for according to the determinant attribute of first machine and the key operation of first machine, The first machine circle belonging to first machine is constructed, the first machine circle includes one between each other with social networks Above machine;
The determination unit, for the determinant attribute and key operation according to each machine in the first machine circle, determination is used for The critical behavior of the first machine circle is identified, the critical behavior closes between each machine for embodying in the first machine circle The mutual logical relation of key operation;
The acquiring unit, for obtaining the second machine circle;
Second recommendation unit, for the critical behavior of the first machine circle to be recommended the second machine circle, described second The attribute of each machine and operation are identical as the attribute of each machine in the first machine circle and operation in machine circle.
13. device according to claim 12, which is characterized in that described device further includes second judgment unit, for sentencing Whether the critical behavior of the first machine circle of breaking meets preset machine behavioral strategy, obtains the second judging result;When described When second judging result shows that the critical behavior of the first machine circle meets preset machine behavioral strategy, triggering described second Recommendation unit.
14. device according to claim 12, which is characterized in that the acquiring unit, including analysis module, acquisition module And determining module, in which:
The analysis module, for analyzing the determinant attribute and key operation of each machine in the first machine circle;
The acquisition module, it is identical with the determinant attribute of each machine in the first machine circle and key operation each for obtaining Machine;
The determining module, for each machine for meeting preset condition to be determined as the second machine circle.
15. device according to any one of claims 10 to 14, which is characterized in that described device further includes signature analysis list Member, third recognition unit and third recommendation unit, in which:
The characteristic analysis unit carries out signature analysis for the key operation to first machine, obtains and application method Relevant key operation;
The third recognition unit, for being grasped according to the determinant attribute of first machine and/or the crucial of first machine Make, identifies third machine;
The third recommendation unit, for the third machine to be recommended in the key operation relevant to application method.
16. a kind of information processing unit, which is characterized in that described device includes third construction unit, determination unit, acquiring unit With the second recommendation unit, in which:
The third construction unit, for according to the determinant attribute of the first machine and the key operation of the first machine, described in building First machine circle belonging to first machine, the first machine circle include more than one machine between each other with social networks Device;
The determination unit, for the determinant attribute and key operation according to each machine in the first machine circle, building is used for The critical behavior of the first machine circle is identified, the critical behavior closes between each machine for embodying in the first machine circle The mutual logical relation of key operation;
The acquiring unit, for obtaining the second machine circle;
Second recommendation unit, for the critical behavior of the first machine circle to be recommended the second machine circle, described second The attribute of each machine and operation are identical as the attribute of each machine in the first machine circle and operation in machine circle.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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CN103067437A (en) * 2011-10-08 2013-04-24 美国博通公司 Ad hoc social networking
WO2014130993A3 (en) * 2013-02-25 2014-11-27 Qualcomm Incorporated Automatic iot device social network expansion

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Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101594519A (en) * 2008-05-27 2009-12-02 英特尔公司 Polymerization, standardization and extension of social networking contacts are to strengthen television consumer experience
CN103067437A (en) * 2011-10-08 2013-04-24 美国博通公司 Ad hoc social networking
WO2014130993A3 (en) * 2013-02-25 2014-11-27 Qualcomm Incorporated Automatic iot device social network expansion

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