CN106095435A - A kind of information processing method and electronic equipment - Google Patents
A kind of information processing method and electronic equipment Download PDFInfo
- Publication number
- CN106095435A CN106095435A CN201610405931.9A CN201610405931A CN106095435A CN 106095435 A CN106095435 A CN 106095435A CN 201610405931 A CN201610405931 A CN 201610405931A CN 106095435 A CN106095435 A CN 106095435A
- Authority
- CN
- China
- Prior art keywords
- key message
- information
- business objective
- key
- event
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/20—Software design
- G06F8/22—Procedural
Landscapes
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The invention discloses a kind of information processing method and electronic equipment, including: obtaining input information, described information is used for characterizing business objective;Described information is resolved, from described information, extracts the first key message and the second key message;The identification parameter corresponding with each key message is generated with described second key message according to described first key message;According to identification parameter each described, generating the parameter sets of described business objective, described parameter sets is for characterizing the event that described business objective is corresponding;Utilize the parameter sets of described business objective, call data acquisition interface and gather the data of described business objective.
Description
Technical field
The present invention relates to the information processing technology, particularly relate to a kind of information processing method and electronic equipment.
Background technology
Business datum is the data acquisition system being associated with a certain business, and business datum is the basis of operational analysis.To business
When data are acquired, it usually needs perform following process:
1, picker proposes business demand, such as: understand how user uses mouse.
2, business demand is manually converted to event definition by picker, as defined: event_class1=mouse,
Event_class2=click, event_class3=times, then show collection is click number of times.
3, data acquisition software development kit (SDK, Software Development is called according to defined event
Kit) interface capturing service data.
In said process, the process that business demand is manually converted to event definition is the most loaded down with trivial details, consumes substantial amounts of adopting
The collection time.
Summary of the invention
For solving above-mentioned technical problem, embodiments provide a kind of information processing method and electronic equipment.
The information processing method that the embodiment of the present invention provides, including:
Obtaining input information, described information is used for characterizing business objective;
Described information is resolved, from described information, extracts the first key message and the second key message;
Generate the mark corresponding with each key message according to described first key message with described second key message to join
Number;
According to identification parameter each described, generating the parameter sets of described business objective, described parameter sets is used for characterizing
The event that described business objective is corresponding;
Utilize the parameter sets of described business objective, call data acquisition interface and gather the data of described business objective.
In the embodiment of the present invention, described method also includes:
After generating the parameter sets of described business objective, generate user-defined identification parameter according to arranging operation;
Described user-defined identification parameter is added to the parameter sets of described business objective.
In the embodiment of the present invention, described method also includes:
According to the one or more key messages in described first key message and described second key message, data base
The parameter sets that middle lookup is associated with the one or more key message, wherein, with the one or more key word phase
The parameter sets of association is for characterizing the correlating event of described business objective;
Export the correlating event of described business objective.
In the embodiment of the present invention, described method also includes:
After generating the parameter sets of described business objective, the one or more identification parameters in described parameter sets are carried out
Mark;
When described information is resolved, in conjunction with the identification parameter of mark, from described information, extract first crucial
Information and the second key message.
In the embodiment of the present invention, the number of described second key message is one or more;Described method also includes:
When the number of described second key message is multiple, match and described first from multiple second key messages
The second key message that key message is associated;
The described mark corresponding with each key message with described second key message generation according to described first key message
Know parameter, including:
Generate corresponding with each key message according to described first key message with described second key message matched
Identification parameter.
The electronic equipment that the embodiment of the present invention provides, including:
Input equipment, is used for obtaining input information, and described information is used for characterizing business objective;
Processing means, for resolving described information, extracts the first key message and second from described information
Key message;Generate the mark corresponding with each key message according to described first key message with described second key message to join
Number;According to identification parameter each described, generating the parameter sets of described business objective, described parameter sets is used for characterizing described industry
The event that business target is corresponding;
Communication interface, for utilizing the parameter sets of described business objective, calls data acquisition interface and gathers described business
The data of target.
In the embodiment of the present invention, described input equipment, it is additionally operable to acquisition and operation is set;
Described processing means, after being additionally operable to generate the parameter sets of described business objective, makes by oneself according to arranging operation generation
Justice identification parameter;Described user-defined identification parameter is added to the parameter sets of described business objective.
In the embodiment of the present invention, described processing means, it is additionally operable to according to described first key message and described second crucial
One or more key messages in information, search the parameter being associated with the one or more key message in data base
Set, wherein, the parameter sets being associated with the one or more key word associates thing for characterize described business objective
Part;
Described electronic equipment also includes: output device, for exporting the correlating event of described business objective.
In the embodiment of the present invention, described processing means, after being additionally operable to generate the parameter sets of described business objective, to described
One or more identification parameters in parameter sets are labeled;When described information is resolved, in conjunction with the mark of mark
Parameter, extracts the first key message and the second key message from described information.
In the embodiment of the present invention, the number of described second key message is one or more;
Described processing means, is additionally operable to when the number of described second key message is multiple, from the multiple second crucial letter
Breath matches the second key message being associated with described first key message;According to described first key message and matching
Described second key message generate the identification parameter corresponding with each key message.
In the technical scheme of the embodiment of the present invention, obtaining input information, described information is used for characterizing business objective;To described
Information resolves, and extracts the first key message and the second key message from described information;According to the described first crucial letter
Cease and generate the identification parameter corresponding with each key message with described second key message;According to identification parameter each described, raw
Becoming the parameter sets of described business objective, described parameter sets is for characterizing the event that described business objective is corresponding;Utilize described
The parameter sets of business objective, calls data acquisition interface and gathers the data of described business objective.Visible, embodiment of the present invention root
The identification parameter of event is automatically generated according to each key message in input information, to realize event is defined automatically, letter
Change the process of event definition, save the overall time of data acquisition.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the information processing method of the embodiment of the present invention one;
Fig. 2 is the scene application schematic diagram of the embodiment of the present invention;
Fig. 3 is the schematic flow sheet of the information processing method of the embodiment of the present invention two;
Fig. 4 is the schematic flow sheet of the information processing method of the embodiment of the present invention three;
Fig. 5 is the schematic flow sheet of the information processing method of the embodiment of the present invention four;
Fig. 6 is the block schematic illustration of the electronic equipment of the embodiment of the present invention five;
Fig. 7 is the structure composition schematic diagram of the electronic equipment of the embodiment of the present invention six.
Detailed description of the invention
In order to more fully hereinafter understand feature and the technology contents of the embodiment of the present invention, below in conjunction with the accompanying drawings to this
The realization of bright embodiment is described in detail, appended accompanying drawing purposes of discussion only for reference, is not used for limiting the embodiment of the present invention.
It it is below the definition explanation of key word in the embodiment of the present invention
Definition 1: event: event is the information carrier that description business gathers demand, is described in and occurs sometime a certain
Place (physical/virtual) is by people/thing or the behavior with certain Meaning of Information of triggering automatically, and available three-layer classification uniquely determines
One event, is defined as follows:
Event={class1, class2, class3, value, time, place, otherInfo}
Any one business demand all can be exchanged into one or more event.
Definition 2: object key word: the collection main body in business demand.
Definition 3: action key word: the action subject in business demand.
Fig. 1 is the schematic flow sheet of the information processing method of the embodiment of the present invention one, the information processing method in this example
Applying electronic equipment.As it is shown in figure 1, described information processing method comprises the following steps:
Step 101: obtaining input information, described information is used for characterizing business objective.
In the embodiment of the present invention, described electronic equipment can be that the electronics such as notebook, desktop computer, all-in-one, server set
Standby.
In the embodiment of the present invention, when picker proposes business demand, by the information input relevant to business demand to electricity
(with reference to Fig. 2) in subset, the mode of input information is varied, such as, pass through keyboard mode inputting word information, by record
Sound mode input voice information, by photographic head mode input video information etc..This example is with by keyboard mode input literary composition
Explain as a example by word information.
In one example, input information is: understand how user uses mouse, it is seen then that the information representation of input business
Target, i.e. business objective be: understands how user uses mouse.
In another example, input information is: understand the use frequency of front-facing camera, it is seen then that business objective is: understand
The use frequency of front-facing camera.
Picker can be according to the corresponding information characterizing business objective of business demand input.This information can be text
Information, it is also possible to be the other kinds of information such as voice messaging.
Step 102: resolve described information, extracts the first key message and the second crucial letter from described information
Breath.
In the embodiment of the present invention, the purpose resolving described information is to extract the first crucial letter from described information
Breath and the second key message.
Here, the first key message refers to that object key word, business key word are the collection main bodys in business demand.Second
Key message refers to that action key word, event key word are the action subjects in business demand.
Such as, input information is: understand how user uses mouse, after this information is resolved, and the first crucial letter
Breath is: mouse;Second key message is: how to use.
The most such as, input information is: understand the use frequency of front-facing camera, after resolving this information, first
Key message is: front-facing camera;Second key message is: use frequency.
In the embodiment of the present invention, the mode resolving information is the most varied, analysis mode and the concrete shape of information
Formula is relevant, when information is text message, the information of picker's input is carried out text analyzing, automatically identifies object therein
Key word and action keyword.When information is voice messaging, after voice messaging can be converted into the text message of correspondence, then
Object key word therein and action keyword is automatically identified from text message;Or directly automatically know from voice messaging
Do not go out object key word therein and action keyword.
Step 103: generate corresponding with each key message with described second key message according to described first key message
Identification parameter.
In the embodiment of the present invention, after automatically identifying the first key message and the second key message from information, the most certainly
The dynamic identification parameter corresponding with each key message with described second key message generation according to described first key message.
Such as, the first key message is: mouse;Second key message is: how to use.Then the first key message is corresponding
Identification parameter is: event_class1=" mouse ", and the identification parameter that the second key message is corresponding is: event_class2=
" click ", event_class3=" times ".
Step 104: according to identification parameter each described, generates the parameter sets of described business objective, described parameter sets
For characterizing the event that described business objective is corresponding.
In the embodiment of the present invention, the parameter sets of business objective characterizes the event that described business objective is corresponding, according to respectively
Individual described identification parameter, generates the parameter sets of described business objective, is i.e. defined event, such as when each identification parameter
For: when event_class1=" mouse ", event_class2=" click ", event_class3=" times ", event is fixed
Justice is:
Event={mouse, click, times, value, time, place, null}
Wherein, mouse is mouse, corresponding to identification parameter event_class1;Click is for clicking on, corresponding to mark ginseng
Number event_class2;Times is number of times, corresponding to identification parameter event_class3.Place is place, and null is for making by oneself
Justice identification parameter field.
Visible, the technical scheme of the embodiment of the present invention, input information is identified automatically, from information, extracts each
Key message, then generates corresponding identification parameter according to each key message, finally forms event definition.
Step 105: utilize the parameter sets of described business objective, calls data acquisition interface and gathers described business objective
Data.
In the embodiment of the present invention, utilize the parameter sets of business objective, data acquisition interface can be called and gather described industry
The data (with reference to Fig. 2) of business target.Here, data acquisition interface can but be not limited to be SDK interface.
The technical scheme of the embodiment of the present invention, passes through electronic equipment by the strongest event definition link the most loaded down with trivial details, professional
Automatically identify so that this work of data acquisition participates in becoming general service personnel i.e. from the original professional that needs
Can complete, improve collecting efficiency, shorten acquisition time.
Fig. 3 is the schematic flow sheet of the information processing method of the embodiment of the present invention two, the information processing method in this example
Applying electronic equipment.As it is shown on figure 3, described information processing method comprises the following steps:
Step 301: obtaining input information, described information is used for characterizing business objective.
In the embodiment of the present invention, described electronic equipment can be that the electronics such as notebook, desktop computer, all-in-one, server set
Standby.
In the embodiment of the present invention, when picker proposes business demand, by the information input relevant to business demand to electricity
(with reference to Fig. 2) in subset, the mode of input information is varied, such as, pass through keyboard mode inputting word information, by record
Sound mode input voice information, by photographic head mode input video information etc..This example is with by keyboard mode input literary composition
Explain as a example by word information.
In one example, input information is: understand how user uses mouse, it is seen then that the information representation of input business
Target, i.e. business objective be: understands how user uses mouse.
In another example, input information is: understand the use frequency of front-facing camera, it is seen then that business objective is: understand
The use frequency of front-facing camera.
Picker can be according to the corresponding information characterizing business objective of business demand input.This information can be text
Information, it is also possible to be the other kinds of information such as voice messaging.
Step 302: resolve described information, extracts the first key message and the second crucial letter from described information
Breath.
In the embodiment of the present invention, the purpose resolving described information is to extract the first crucial letter from described information
Breath and the second key message.
Here, the first key message refers to that object key word, business key word are the collection main bodys in business demand.Second
Key message refers to that action key word, event key word are the action subjects in business demand.
Such as, input information is: understand how user uses mouse, after this information is resolved, and the first crucial letter
Breath is: mouse;Second key message is: how to use.
The most such as, input information is: understand the use frequency of front-facing camera, after resolving this information, first
Key message is: front-facing camera;Second key message is: use frequency.
In the embodiment of the present invention, the mode resolving information is the most varied, analysis mode and the concrete shape of information
Formula is relevant, when information is text message, the information of picker's input is carried out text analyzing, automatically identifies object therein
Key word and action keyword.When information is voice messaging, after voice messaging can be converted into the text message of correspondence, then
Object key word therein and action keyword is automatically identified from text message;Or directly automatically know from voice messaging
Do not go out object key word therein and action keyword.
Step 303: generate corresponding with each key message with described second key message according to described first key message
Identification parameter.
In the embodiment of the present invention, after automatically identifying the first key message and the second key message from information, the most certainly
The dynamic identification parameter corresponding with each key message with described second key message generation according to described first key message.
Such as, the first key message is: mouse;Second key message is: how to use.Then the first key message is corresponding
Identification parameter is: event_class1=" mouse ", and the identification parameter that the second key message is corresponding is: event_class2=
" click ", event_class3=" times ".
Step 304: according to identification parameter each described, generates the parameter sets of described business objective, described parameter sets
For characterizing the event that described business objective is corresponding.
In the embodiment of the present invention, the parameter sets of business objective characterizes the event that described business objective is corresponding, according to respectively
Individual described identification parameter, generates the parameter sets of described business objective, is i.e. defined event, such as when each identification parameter
For: when event_class1=" mouse ", event_class2=" click ", event_class3=" times ", event is fixed
Justice is:
Event={mouse, click, times, value, time, place, null}
Wherein, mouse is mouse, corresponding to identification parameter event_class1;Click is for clicking on, corresponding to mark ginseng
Number event_class2;Times is number of times, corresponding to identification parameter event_class3.Place is place, and null is for making by oneself
Justice identification parameter field.
Visible, the technical scheme of the embodiment of the present invention, input information is identified automatically, from information, extracts each
Key message, then generates corresponding identification parameter according to each key message, finally forms event definition.
Step 305: after generating the parameter sets of described business objective, generates user-defined identification parameter according to arranging operation;
Described user-defined identification parameter is added to the parameter sets of described business objective.
In the embodiment of the present invention, event definition can be modified operation by user, as by the event definition in step 304
It is revised as:
Event={mouse, click, times, value, time, place, { " user_id ": " userA "
That is: picker adds extra self-defined information { " user_id ": " userA of this event as required " }
Extra self-defined information indicates picker and wonders specifically used person.Such as, business demand collection person carried
" user " this word in " understanding how user uses mouse " is labeled and describes.
Step 306: utilize the parameter sets of described business objective, calls data acquisition interface and gathers described business objective
Data.
In the embodiment of the present invention, utilize the parameter sets of business objective, data acquisition interface can be called and gather described industry
The data (with reference to Fig. 2) of business target.Here, data acquisition interface can but be not limited to be SDK interface.
The technical scheme of the embodiment of the present invention, passes through electronic equipment by the strongest event definition link the most loaded down with trivial details, professional
Automatically identify so that this work of data acquisition participates in becoming general service personnel i.e. from the original professional that needs
Can complete, improve collecting efficiency, shorten acquisition time.
Fig. 4 is the schematic flow sheet of the information processing method of the embodiment of the present invention three, the information processing method in this example
Applying electronic equipment.As shown in Figure 4, described information processing method comprises the following steps:
Step 401: obtaining input information, described information is used for characterizing business objective.
In the embodiment of the present invention, described electronic equipment can be that the electronics such as notebook, desktop computer, all-in-one, server set
Standby.
In the embodiment of the present invention, when picker proposes business demand, by the information input relevant to business demand to electricity
(with reference to Fig. 2) in subset, the mode of input information is varied, such as, pass through keyboard mode inputting word information, by record
Sound mode input voice information, by photographic head mode input video information etc..This example is with by keyboard mode input literary composition
Explain as a example by word information.
In one example, input information is: understand how user uses mouse, it is seen then that the information representation of input business
Target, i.e. business objective be: understands how user uses mouse.
In another example, input information is: understand the use frequency of front-facing camera, it is seen then that business objective is: understand
The use frequency of front-facing camera.
Picker can be according to the corresponding information characterizing business objective of business demand input.This information can be text
Information, it is also possible to be the other kinds of information such as voice messaging.
Step 402: resolve described information, extracts the first key message and the second crucial letter from described information
Breath.
In the embodiment of the present invention, the purpose resolving described information is to extract the first crucial letter from described information
Breath and the second key message.
Here, the first key message refers to that object key word, business key word are the collection main bodys in business demand.Second
Key message refers to that action key word, event key word are the action subjects in business demand.
Such as, input information is: understand how user uses mouse, after this information is resolved, and the first crucial letter
Breath is: mouse;Second key message is: how to use.
The most such as, input information is: understand the use frequency of front-facing camera, after resolving this information, first
Key message is: front-facing camera;Second key message is: use frequency.
In the embodiment of the present invention, the mode resolving information is the most varied, analysis mode and the concrete shape of information
Formula is relevant, when information is text message, the information of picker's input is carried out text analyzing, automatically identifies object therein
Key word and action keyword.When information is voice messaging, after voice messaging can be converted into the text message of correspondence, then
Object key word therein and action keyword is automatically identified from text message;Or directly automatically know from voice messaging
Do not go out object key word therein and action keyword.
Step 403: generate corresponding with each key message with described second key message according to described first key message
Identification parameter.
In the embodiment of the present invention, after automatically identifying the first key message and the second key message from information, the most certainly
The dynamic identification parameter corresponding with each key message with described second key message generation according to described first key message.
Such as, the first key message is: mouse;Second key message is: how to use.Then the first key message is corresponding
Identification parameter is: event_class1=" mouse ", and the identification parameter that the second key message is corresponding is: event_class2=
" click ", event_class3=" times ".
Step 404: according to identification parameter each described, generates the parameter sets of described business objective, described parameter sets
For characterizing the event that described business objective is corresponding.
In the embodiment of the present invention, the parameter sets of business objective characterizes the event that described business objective is corresponding, according to respectively
Individual described identification parameter, generates the parameter sets of described business objective, is i.e. defined event, such as when each identification parameter
For: when event_class1=" mouse ", event_class2=" click ", event_class3=" times ", event is fixed
Justice is:
Event={mouse, click, times, value, time, place, null}
Wherein, mouse is mouse, corresponding to identification parameter event_class1;Click is for clicking on, corresponding to mark ginseng
Number event_class2;Times is number of times, corresponding to identification parameter event_class3.Place is place, and null is for making by oneself
Justice identification parameter field.
Visible, the technical scheme of the embodiment of the present invention, input information is identified automatically, from information, extracts each
Key message, then generates corresponding identification parameter according to each key message, finally forms event definition.
Step 405: utilize the parameter sets of described business objective, calls data acquisition interface and gathers described business objective
Data.
In the embodiment of the present invention, utilize the parameter sets of business objective, data acquisition interface can be called and gather described industry
The data (with reference to Fig. 2) of business target.Here, data acquisition interface can but be not limited to be SDK interface.
The technical scheme of the embodiment of the present invention, passes through electronic equipment by the strongest event definition link the most loaded down with trivial details, professional
Automatically identify so that this work of data acquisition participates in becoming general service personnel i.e. from the original professional that needs
Can complete, improve collecting efficiency, shorten acquisition time.
Step 406: according to the one or more key messages in described first key message and described second key message,
The parameter sets being associated with the one or more key message is searched, wherein, with the one or more in data base
The parameter sets that key word is associated is for characterizing the correlating event of described business objective;Export the association thing of described business objective
Part.
In the embodiment of the present invention, after event being defined according to input information, it is also possible to according to the first pass of event
Key information and/or described second key message, search the key message with event in other data bases (also referred to as data source)
The parameter sets (also referred to as other events) being associated, then, inputs to user by the event being associated.Visible, the present invention is real
Execute the business demand that picker proposes by example and carried out more deep analysis, combine big data search, search match with
What this event was associated be present in other kinds information source occurs in the event in each application scenarios, from big data Angle for adopting
Collection person recommends all kinds of extension collection event, has promoted the development of data collection industry.
Fig. 5 is the schematic flow sheet of the information processing method of the embodiment of the present invention four, the information processing method in this example
Applying electronic equipment.As it is shown in figure 5, described information processing method comprises the following steps:
Step 501: obtaining input information, described information is used for characterizing business objective.
In the embodiment of the present invention, described electronic equipment can be that the electronics such as notebook, desktop computer, all-in-one, server set
Standby.
In the embodiment of the present invention, when picker proposes business demand, by the information input relevant to business demand to electricity
(with reference to Fig. 2) in subset, the mode of input information is varied, such as, pass through keyboard mode inputting word information, by record
Sound mode input voice information, by photographic head mode input video information etc..This example is with by keyboard mode input literary composition
Explain as a example by word information.
In one example, input information is: understand how user uses mouse, it is seen then that the information representation of input business
Target, i.e. business objective be: understands how user uses mouse.
In another example, input information is: understand the use frequency of front-facing camera, it is seen then that business objective is: understand
The use frequency of front-facing camera.
Picker can be according to the corresponding information characterizing business objective of business demand input.This information can be text
Information, it is also possible to be the other kinds of information such as voice messaging.
Step 502: when resolving described information, in conjunction with the identification parameter of mark, extracts from described information
First key message and the second key message.
In the embodiment of the present invention, the purpose resolving described information is to extract the first crucial letter from described information
Breath and the second key message.
Here, the first key message refers to that object key word, business key word are the collection main bodys in business demand.Second
Key message refers to that action key word, event key word are the action subjects in business demand.
Such as, input information is: understand how user uses mouse, after this information is resolved, and the first crucial letter
Breath is: mouse;Second key message is: how to use.
The most such as, input information is: understand the use frequency of front-facing camera, after resolving this information, first
Key message is: front-facing camera;Second key message is: use frequency.
In the embodiment of the present invention, the mode resolving information is the most varied, analysis mode and the concrete shape of information
Formula is relevant, when information is text message, the information of picker's input is carried out text analyzing, automatically identifies object therein
Key word and action keyword.When information is voice messaging, after voice messaging can be converted into the text message of correspondence, then
Object key word therein and action keyword is automatically identified from text message;Or directly automatically know from voice messaging
Do not go out object key word therein and action keyword.
Step 503: generate corresponding with each key message with described second key message according to described first key message
Identification parameter.
In the embodiment of the present invention, after automatically identifying the first key message and the second key message from information, the most certainly
The dynamic identification parameter corresponding with each key message with described second key message generation according to described first key message.
Such as, the first key message is: mouse;Second key message is: how to use.Then the first key message is corresponding
Identification parameter is: event_class1=" mouse ", and the identification parameter that the second key message is corresponding is: event_class2=
" click ", event_class3=" times ".
Additionally, the number of described second key message is one or more;When the number of described second key message is many
Time individual, from multiple second key messages, match the second key message being associated with described first key message;According to institute
Described second key message stating the first key message and match generates the identification parameter corresponding with each key message.
Such as: identifying object key word is " mouse ", then mated for " mouse ";Identify action key word " to make
With ", also needing object key word is mated, precisely define its behavior, the behavior such as " mouse " is " click ", just will
Its coupling is " click ", and the behavior for " touch screen " is " touch ", is just mated for " touch ".And action key word can
Have multiple, determine according to the semantic analysis of business demand.Here, object key word category level is higher than action key word.
Step 504: according to identification parameter each described, generates the parameter sets of described business objective, described parameter sets
For characterizing the event that described business objective is corresponding.
In the embodiment of the present invention, the parameter sets of business objective characterizes the event that described business objective is corresponding, according to respectively
Individual described identification parameter, generates the parameter sets of described business objective, is i.e. defined event, such as when each identification parameter
For: when event_class1=" mouse ", event_class2=" click ", event_class3=" times ", event is fixed
Justice is:
Event={mouse, click, times, value, time, place, null}
Wherein, mouse is mouse, corresponding to identification parameter event_class1;Click is for clicking on, corresponding to mark ginseng
Number event_class2;Times is number of times, corresponding to identification parameter event_class3.Place is place, and null is for making by oneself
Justice identification parameter field.
Visible, the technical scheme of the embodiment of the present invention, input information is identified automatically, from information, extracts each
Key message, then generates corresponding identification parameter according to each key message, finally forms event definition.
Step 505: after generating the parameter sets of described business objective, to the one or more marks in described parameter sets
Parameter is labeled.
In the embodiment of the present invention, it is proposed that self study feedback mechanism: add self study feedback mechanism during automatically identifying,
That is: the business demand automatically according to picker's input identify event fixed after, the event of conversion automatically can be carried out by picker
Mark and change, these marks and change can recorded in system in turn, then correct the parser of step 502, carry
The high accuracy analyzed.
Step 506: utilize the parameter sets of described business objective, calls data acquisition interface and gathers described business objective
Data.
In the embodiment of the present invention, utilize the parameter sets of business objective, data acquisition interface can be called and gather described industry
The data (with reference to Fig. 2) of business target.Here, data acquisition interface can but be not limited to be SDK interface.
The technical scheme of the embodiment of the present invention, passes through electronic equipment by the strongest event definition link the most loaded down with trivial details, professional
Automatically identify so that this work of data acquisition participates in becoming general service personnel i.e. from the original professional that needs
Can complete, improve collecting efficiency, shorten acquisition time.
It is automatic that what the embodiment of the present invention proposed automatically identify collection event and self-study mechanism ensure that event
Identify and be in the circulation of improvement certainly that accuracy constantly promotes.Recognition correct rate is the highest, and practicality and effectiveness are the highest.
Fig. 6 is the block schematic illustration of the electronic equipment of the embodiment of the present invention five, and as shown in Figure 6, described electronic equipment includes:
Logging modle 61: record automatically generates all key messages in event procedure, including: original service demand, carries
Refining analyze object key word, conversion after action key word, automatically organize the formation of complete event definition and user couple
Event is modified the final event definition obtained.
Automatically identification module 62: identification module acts on business demand automatically, and business demand carries out semantic analysis, extracts
Go out all object key words in business demand and action key word.
Keywords matching module 63: the object key word and the action key word that identify automatic identification module carry out key
Word is changed, and is " mouse " as identified object key word, is then mated for " mouse ";Identify action key word " to use ",
Also needing object key word is carried out semantic analysis, precisely define its behavior, the behavior such as " mouse " is " click ", just will
Its coupling is " click ", and the behavior for " touch screen " is " touch ", is just mated for " touch ".And action key word can
Have multiple, determine according to the semantic analysis of business demand.Object key word category level is higher than action key word.
Event organization module 64: the result that automatic identification module and Keywords matching module can be exported by event organization module
It is organized into complete event definition.
Intelligent recommendation module 65: this module has two aspect effects: (1) objective data aspect: can be automatically according to user's
Incoming event matches recommendation event, and such as picker's input " gathers the booting computer time ", then Auto-matching goes out " to gather computer
Unused time " such event automatically change complete pusher and recommend to picker.(2) subjective data aspect: can be according to parsing
After key word, utilize big data searching technology, from the focus of other information sources (such as electricity business's platform, forum etc.) capture user
With application scenarios, thus collection event extending to other application scenarios, such as picker's input " understands how user uses Mus
Mark ", then can automatically find out the information comprising key word " mouse " in other information sources: user is playing games, listening music, IMU
The evaluation to mouse mentioned in the scenes such as news and service condition, thus collection event can be expanded by only focusing on this point of mouse
Open up other and use scene: gather user and play games, listen the scene information such as music, instant messaging, thus expand in concrete field
Mouse service condition in scape.
Self-learning module 66: it is excellent that the event definition corrected according to the event definition automatically generated and user carries out self study
Change, constantly promote event definition accuracy.
When performing the information processing method of the embodiment of the present invention with the electronic equipment shown in Fig. 6, in one example, the method
Including:
1) business demand of supposition picker is: " understanding how user uses mouse ".
Business demand=" understanding how user uses mouse "
2) after logging modle recorded business demand, automatic identification module just carries out semantic analysis to business demand, analyzes
Go out object key word therein and action key word.
Object key word=" mouse ", action key word=" use "
3) the object key word identified and action key word can be mated and divide by Keywords matching module further
Analysis, is converted to key definition:
Object key word → event_class1=" mouse ",
Action key word 1 → event_class2=" click ",
Action key word 2 → event_class3=" times "
4) all key words can be organized together by event organization module, the event definition formed, as ultimately generated
This event be:
Event={mouse, click, times, value, time, place, null}
5) if user receives this event definition, directly use.Modified as needed to, then can be directly to later event
Modify, then submit to, as will be as above event be revised as:
Event={mouse, click, times, value, time, place, { " user_id ": " userA "
That is: picker adds the extra self-defined information of this event as required.
6), after the business demand " how understanding user uses mouse " of picker being automatically converted to event definition, intelligence pushes away
Recommend module and can further business demand be carried out extraction analysis.After extracting " mouse ", " use " these keywords, will basis
This keyword goes other information source match information, such as matches user and can mention mouse when playing games, thus collection is swum
Play event as expanding event recommendation to picker, with help picker clearly in concrete scene user for the demand of mouse
With actually used situation.
7) during this revision and feedback will pass back to our event self-generating code, fixed to system by self-learning module
Justice and Manual definition carry out further machine learning, learn make new advances rule or promote the matching degree of old rule.
As in this example, the extra self-defined information that picker increases is ID: user_id, shows that picker wants to know
The concrete user in road.During the business demand that namely self-identifying program needs picker to be carried " understands how user uses mouse "
" user " this word is labeled and describes.
Fig. 7 is the structure composition schematic diagram of the electronic equipment of the embodiment of the present invention six, as it is shown in fig. 7, described electronic equipment
Including:
Input equipment 71, is used for obtaining input information, and described information is used for characterizing business objective;
Processing means 72, for resolving described information, extracts the first key message and the from described information
Two key messages;The mark corresponding with each key message is generated with described second key message according to described first key message
Parameter;According to identification parameter each described, generating the parameter sets of described business objective, described parameter sets is used for characterizing described
The event that business objective is corresponding;
Communication interface 73, for utilizing the parameter sets of described business objective, calls data acquisition interface and gathers described industry
The data of business target.
Described input equipment 71, is additionally operable to acquisition and arranges operation;
Described processing means 72, after being additionally operable to generate the parameter sets of described business objective, according to arrange operation generate from
Definition identification parameter;Described user-defined identification parameter is added to the parameter sets of described business objective.
Described processing means 72, be additionally operable to according in described first key message and described second key message or
Multiple key messages, search the parameter sets being associated with the one or more key message, wherein, with institute in data base
State parameter sets that one or more key word is associated for characterizing the correlating event of described business objective;
Described electronic equipment also includes: output device 74, for exporting the correlating event of described business objective.
Described processing means 72, after being additionally operable to generate the parameter sets of described business objective, in described parameter sets
One or more identification parameters are labeled;When described information is resolved, in conjunction with the identification parameter of mark, from described letter
Breath extracts the first key message and the second key message.
The number of described second key message is one or more;
Described processing means 72, is additionally operable to when the number of described second key message is multiple, crucial from multiple second
Information matches the second key message being associated with described first key message;According to described first key message and coupling
Described second key message gone out generates the identification parameter corresponding with each key message.
Described electronic equipment also includes: storage device 75, all key messages during storing event definition, bag
Include: original service demand, refine analyze object key word, conversion after action key word, automatically organize the formation of complete
Event definition and user are modified the final event definition obtained to event.
It will be appreciated by those skilled in the art that each unit in the electronic equipment shown in Fig. 7 realizes before function can refer to
State the associated description of information processing method and understand.
Between technical scheme described in the embodiment of the present invention, in the case of not conflicting, can be in any combination.
In several embodiments provided by the present invention, it should be understood that disclosed method and smart machine, Ke Yitong
The mode crossing other realizes.Apparatus embodiments described above is only schematically, such as, and the division of described unit, only
Being only a kind of logic function to divide, actual can have other dividing mode, such as when realizing: multiple unit or assembly can be tied
Close, or be desirably integrated into another system, or some features can be ignored, or do not perform.It addition, shown or discussed each group
The coupling each other of one-tenth part or direct-coupling or communication connection can be indirect by some interfaces, equipment or unit
Coupling or communication connection, can be electrical, machinery or other form.
The above-mentioned unit illustrated as separating component can be or may not be physically separate, shows as unit
The parts shown can be or may not be physical location, i.e. may be located at a place, it is also possible to be distributed to multiple network list
In unit;Part or all of unit therein can be selected according to the actual needs to realize the purpose of the present embodiment scheme.
It addition, each functional unit in various embodiments of the present invention can be fully integrated in second processing unit,
Can also be that each unit is individually as a unit, it is also possible to two or more unit are integrated in a unit;
Above-mentioned integrated unit both can realize to use the form of hardware, it would however also be possible to employ the form that hardware adds SFU software functional unit is real
Existing.
The above, the only detailed description of the invention of the present invention, but protection scope of the present invention is not limited thereto, and any
Those familiar with the art, in the technical scope that the invention discloses, can readily occur in change or replace, should contain
Cover within protection scope of the present invention.
Claims (10)
1. an information processing method, including:
Obtaining input information, described information is used for characterizing business objective;
Described information is resolved, from described information, extracts the first key message and the second key message;
The identification parameter corresponding with each key message is generated with described second key message according to described first key message;
According to identification parameter each described, generating the parameter sets of described business objective, described parameter sets is used for characterizing described
The event that business objective is corresponding;
Utilize the parameter sets of described business objective, call data acquisition interface and gather the data of described business objective.
Information processing method the most according to claim 1, described method also includes:
After generating the parameter sets of described business objective, generate user-defined identification parameter according to arranging operation;
Described user-defined identification parameter is added to the parameter sets of described business objective.
Information processing method the most according to claim 1, described method also includes:
According to the one or more key messages in described first key message and described second key message, look in data base
Look for the parameter sets being associated with the one or more key message, wherein, be associated with the one or more key word
Parameter sets for characterizing the correlating event of described business objective;
Export the correlating event of described business objective.
Information processing method the most according to claim 1, described method also includes:
After generating the parameter sets of described business objective, the one or more identification parameters in described parameter sets are marked
Note;
When described information is resolved, in conjunction with the identification parameter of mark, from described information, extract the first key message
With the second key message.
5. according to the information processing method described in any one of Claims 1-4, wherein, the number of described second key message is
One or more;Described method also includes:
When the number of described second key message is multiple, match crucial with described first from multiple second key messages
The second key message that information is associated;
The described mark ginseng corresponding with each key message with described second key message generation according to described first key message
Number, including:
The mark corresponding with each key message is generated with described second key message matched according to described first key message
Know parameter.
6. an electronic equipment, including:
Input equipment, is used for obtaining input information, and described information is used for characterizing business objective;
Processing means, for resolving described information, extracts the first key message and the second key from described information
Information;The identification parameter corresponding with each key message is generated with described second key message according to described first key message;
According to identification parameter each described, generating the parameter sets of described business objective, described parameter sets is used for characterizing described business
The event that target is corresponding;
Communication interface, for utilizing the parameter sets of described business objective, calls data acquisition interface and gathers described business objective
Data.
Electronic equipment the most according to claim 6, wherein,
Described input equipment, is additionally operable to acquisition and arranges operation;
Described processing means, after being additionally operable to generate the parameter sets of described business objective, generates self-defined mark according to arranging operation
Know parameter;Described user-defined identification parameter is added to the parameter sets of described business objective.
Electronic equipment the most according to claim 6, wherein, described processing means, it is additionally operable to according to the described first crucial letter
One or more key messages in breath and described second key message, search crucial with the one or more in data base
The parameter sets that information is associated, wherein, the parameter sets being associated with the one or more key word is described for characterizing
The correlating event of business objective;
Described electronic equipment also includes: output device, for exporting the correlating event of described business objective.
Electronic equipment the most according to claim 6, wherein, described processing means, it is additionally operable to generate described business objective
After parameter sets, the one or more identification parameters in described parameter sets are labeled;Described information is being resolved
Time, in conjunction with the identification parameter of mark, from described information, extract the first key message and the second key message.
10. according to the electronic equipment described in any one of claim 6 to 9, wherein, the number of described second key message is one
Or it is multiple;
Described processing means, is additionally operable to when the number of described second key message is multiple, from multiple second key messages
Match the second key message being associated with described first key message;According to described first key message and the institute matched
State the second key message and generate the identification parameter corresponding with each key message.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610405931.9A CN106095435B (en) | 2016-06-08 | 2016-06-08 | Information processing method and electronic equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610405931.9A CN106095435B (en) | 2016-06-08 | 2016-06-08 | Information processing method and electronic equipment |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106095435A true CN106095435A (en) | 2016-11-09 |
CN106095435B CN106095435B (en) | 2019-12-24 |
Family
ID=57228515
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610405931.9A Active CN106095435B (en) | 2016-06-08 | 2016-06-08 | Information processing method and electronic equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106095435B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110472821A (en) * | 2019-07-04 | 2019-11-19 | 深圳壹账通智能科技有限公司 | Roadside assistance worksheet processing method, apparatus, computer equipment and storage medium |
CN111553487A (en) * | 2020-05-25 | 2020-08-18 | 支付宝(杭州)信息技术有限公司 | Business object identification method and device |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105306281A (en) * | 2015-12-03 | 2016-02-03 | 腾讯科技(深圳)有限公司 | Information processing method and client |
CN105488032A (en) * | 2015-12-31 | 2016-04-13 | 杭州智蚁科技有限公司 | Speech recognition input control method and system |
-
2016
- 2016-06-08 CN CN201610405931.9A patent/CN106095435B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105306281A (en) * | 2015-12-03 | 2016-02-03 | 腾讯科技(深圳)有限公司 | Information processing method and client |
CN105488032A (en) * | 2015-12-31 | 2016-04-13 | 杭州智蚁科技有限公司 | Speech recognition input control method and system |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110472821A (en) * | 2019-07-04 | 2019-11-19 | 深圳壹账通智能科技有限公司 | Roadside assistance worksheet processing method, apparatus, computer equipment and storage medium |
CN111553487A (en) * | 2020-05-25 | 2020-08-18 | 支付宝(杭州)信息技术有限公司 | Business object identification method and device |
CN111553487B (en) * | 2020-05-25 | 2021-04-27 | 支付宝(杭州)信息技术有限公司 | Business object identification method and device |
Also Published As
Publication number | Publication date |
---|---|
CN106095435B (en) | 2019-12-24 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Lin et al. | Cross-project transfer representation learning for vulnerable function discovery | |
US9536200B2 (en) | Sentiment analysis of data logs | |
CN103699689B (en) | Method and device for establishing event repository | |
US20160171373A1 (en) | Training a Question/Answer System Using Answer Keys Based on Forum Content | |
CN106815356B (en) | Precision target user message method for pushing and system based on semantic analysis | |
CN107783973A (en) | The methods, devices and systems being monitored based on domain knowledge spectrum data storehouse to the Internet media event | |
CN112749266B (en) | Industrial question and answer method, device, system, equipment and storage medium | |
WO2020237872A1 (en) | Method and apparatus for testing accuracy of semantic analysis model, storage medium, and device | |
US9811515B2 (en) | Annotating posts in a forum thread with improved data | |
JP7103496B2 (en) | Related score calculation system, method and program | |
Oramas et al. | ELMD: An automatically generated entity linking gold standard dataset in the music domain | |
Arias et al. | A framework for managing requirements of software product lines | |
CN109800147B (en) | Test case generation method and terminal equipment | |
CN110442730A (en) | A kind of knowledge mapping construction method based on deepdive | |
Gupta et al. | Joint bootstrapping machines for high confidence relation extraction | |
CN110413645A (en) | Data search method, device, terminal and computer readable storage medium | |
Huang et al. | Query expansion based on statistical learning from code changes | |
CN107748755A (en) | Synonym method for digging, device, equipment and computer-readable recording medium | |
De Renzis et al. | Semantic-structural assessment scheme for integrability in service-oriented applications | |
CN106095435A (en) | A kind of information processing method and electronic equipment | |
US20150248385A1 (en) | Semantic Network Establishing System and Establishing Method Thereof | |
Eyal-Salman et al. | Feature-to-code traceability in legacy software variants | |
Eken et al. | Predicting defects with latent and semantic features from commit logs in an industrial setting | |
KR102474042B1 (en) | Method for analyzing association of diseases using data mining | |
Akpınar et al. | Heuristic role detection of visual elements of web pages |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |