CN105095456A - Information processing method and electronic device - Google Patents
Information processing method and electronic device Download PDFInfo
- Publication number
- CN105095456A CN105095456A CN201510447101.8A CN201510447101A CN105095456A CN 105095456 A CN105095456 A CN 105095456A CN 201510447101 A CN201510447101 A CN 201510447101A CN 105095456 A CN105095456 A CN 105095456A
- Authority
- CN
- China
- Prior art keywords
- user
- information
- topic
- electronic equipment
- content information
- 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
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
Abstract
The invention discloses an information processing method and an electronic device. The method comprises: obtaining content information input by a first user of a first electronic device; based on the content information, determining N users in a user library, to make the N users process the content information, wherein the N users are users different from the first user and the N is a positive integer; and feeding back a processing result to the first electronic device. The above method is used to solve technical problems in the prior art that when requirement of users exceed a processing range of an electronic device, the electronic device cannot satisfy user requirements, and realizes technical effect of improving intelligence of the electronic device.
Description
Technical field
The present invention relates to electronic technology field, particularly a kind of information processing method and electronic equipment.
Background technology
Along with the development of science and technology, the function of electronic equipment from strength to strength, in order to better realize human-computer interaction, can arrange intelligent assistant in the electronic device, as the siri in apple products, and the SVoice in Samsung product.In the prior art, intelligent assistant can exchange with user, helps user to inquire about, as intelligent assistant can read note, call, search data etc.
Present inventor, in the process realizing technical scheme in the embodiment of the present application, finds that prior art at least exists following technical matters:
Because the function of intelligent assistant itself is limited, only can solve the portion requirements of user, therefore, exist when the demand of user exceeds the process range of electronic equipment itself in prior art, the technical matters that electronic equipment cannot be met consumers' demand.
Summary of the invention
The embodiment of the present application provides a kind of information processing method and electronic equipment, exist when the demand of user exceeds the process range of intelligent assistant for solving in prior art, the technical matters that intelligence assistant cannot meet consumers' demand, achieves the technique effect improving intelligent assistant's degree of intelligence.
The embodiment of the present application provides a kind of information processing method on the one hand, comprising:
Obtain the content information of the first user input of the first electronic equipment;
Based on described content information, determine N number of user in user library, to make described N number of user process described content information, wherein, described N number of user is the user different from described first user, and N is positive integer;
Result is fed back to described first electronic equipment.
Optionally, described based on described content information, determine N number of user in user library before, described method also comprises:
Receive the process request that described first electronic equipment sends, wherein, the request that described process request is the described content information of process that described first electronic equipment cannot process described content information and generate.
Optionally, described based on described content information, in user library, determine N number of user, comprising:
K the user matched with described content information is determined in described user library;
Select from a described K user and meet pre-conditioned described N number of user.
Optionally, after the content information that the first user of described acquisition first electronic equipment inputs, described method also comprises:
Extract the key word information in described content information and/or clause information;
Based on described key word information and/or clause information, in default topic class library, determine the first topic classification;
Accordingly, described based on described content information, in user library, determine N number of user, comprising:
Based on described first topic classification, in described user library, determine described N number of user.
Optionally, described based on described content information, in user library, determine N number of user, comprising:
Based on described first topic classification, when determining that described first topic is categorized as group topic, determine the number of users M needed for described first topic classification;
In described user library, determine that M-1 the second user is described N number of user, wherein, described M-1 the second user classifies relevant to described first topic;
Accordingly, describedly result is fed back to described first electronic equipment, comprising:
Create the group comprising described M-1 the second user and described first user, wherein, described in described group, M-1 the second user can exchange with described first user.
Optionally, described based on described content information, in user library, determine N number of user, comprising:
Based on described first topic classification, when determining that described first topic is categorized as non-group topic, from described user library, select the second user meeting preset number is described N number of user;
Accordingly, describedly result is fed back to described first electronic equipment, comprising:
The electronic equipment corresponding respectively to described second user sends described content information;
Receive the process information of electronic equipment feedback corresponding to described second user, wherein said process information is the process information that described second user inputs based on described content information; Described process information is fed back to described first electronic equipment.
Optionally, described based on described key word information and/or clause information, in default topic class library, determine the first topic classification, comprising:
Determine in default topic class library and to classify with S topic of described key word information and/or clause information match, S is positive integer;
Obtain the historical information of described first user input;
Based on described key word information and/or clause information, and described historical information, in described S topic classification, determine described first topic classification.
The application provides a kind of electronic equipment on the other hand, comprising:
Input media, for obtaining the content information of the first user input of the first electronic equipment;
Processor, is connected with described input media, for based on described content information, N number of user is determined, to make described N number of user process described content information, wherein in user library, described N number of user is the user different from described first user, and N is positive integer; And result is fed back to described first electronic equipment.
Optionally, described electronic equipment also comprises:
Communicator, is connected with described processor, for receiving the process request that described first electronic equipment sends, wherein, and the request that described process request is the described content information of process that described first electronic equipment cannot process described content information and generate.
Optionally, described processor is used for:
K the user matched with described content information is determined in described user library;
Select from a described K user and meet pre-conditioned described N number of user.
Optionally, described processor also for:
Extract the key word information in described content information and/or clause information;
Based on described key word information and/or clause information, in default topic class library, determine the first topic classification;
Based on described first topic classification, in described user library, determine described N number of user.
Optionally, described processor is used for:
Based on described first topic classification, when determining that described first topic is categorized as group topic, determine the number of users M needed for described first topic classification;
In described user library, determine that M-1 the second user is described N number of user, wherein, described M-1 the second user classifies relevant to described first topic;
Create the group comprising described M-1 the second user and described first user, wherein, described in described group, M-1 the second user can exchange with described first user.
Optionally, described processor is used for:
Based on described first topic classification, when determining that described first topic is categorized as non-group topic, from described user library, select the second user meeting preset number is described N number of user;
The electronic equipment corresponding respectively to described second user sends described content information;
Receive the process information of electronic equipment feedback corresponding to described second user, wherein said process information is the process information that described second user inputs based on described content information; Described process information is fed back to described first electronic equipment.
Optionally, described processor is used for:
Determine in default topic class library and to classify with S topic of described key word information and/or clause information match, S is positive integer;
Obtain the historical information of described first user input;
Based on described key word information and/or clause information, and described historical information, in described S topic classification, determine described first topic classification.
The embodiment of the present application also provides a kind of electronic equipment, comprising:
Acquiring unit, for obtaining the content information of the first user input of the first electronic equipment;
Processing unit, for based on described content information, determines N number of user in user library, and to make described N number of user process described content information, wherein, described N number of user is the user different from described first user, and N is positive integer;
Feedback unit, for feeding back to described first electronic equipment by result.
Above-mentioned one or more technical scheme in the embodiment of the present application, at least has one or more technique effects following:
One, the scheme in the embodiment of the present application, when user carries out input operation, obtains the content information of input.As user's input is consulting class content, in user library, so just determine the N number of user be associated with this consulting class content.Described N number of user can process, answer the reference content of user, and generating process result, user just can obtain the answer of oneself counseling problem based on the result of feedback.And in prior art after user input content, electronic equipment can find in the database of this locality or network relevant in perhaps answer, and other users can not be sent to allow other users process.If do not search corresponding result in local data base or network, then cannot answer for user.Visible, the scheme in the embodiment of the present application can solve in prior art to be existed when the demand of user exceeds the process range of electronic equipment itself, and the technical matters that electronic equipment cannot be met consumers' demand, achieves the technique effect improving electronic equipment degree of intelligence.
Two, the content information that the scheme in the embodiment of the present application inputs based on user, extracts the key word information in content information and/or clause information.By the combination of keyword and/or clause information, determine the topic classification that content information is corresponding, as life kind, travelling class, or the classification of more refinement, as periphery cuisines class, Chengdu recommending scenery spot class.Determine to classify with this topic corresponding N number of user according to topic classification.Therefore, the scheme in the embodiment of the present application achieves the technique effect accurately determining the user be associated with input content.
Three, the scheme in the embodiment of the present application can process in different ways based on different topic classification.During as being categorized as group chatting topic at topic, electronic equipment can create group or discussion group, automatically to enable to carry out communication and discussion to the interested user of this topic in group.For another example, when topic is categorized as commodity sales promotion class topic, electronic equipment can initiate to purchase by group activity according to user's request.Visible, the scheme in the embodiment of the present application can carry out different process for different content informations, meets the demand of user to greatest extent, improves user experience.
Four, the scheme in the embodiment of the present application is when determining the topic classification corresponding with content information, and the once input according to user may be classified to having multiple topic.In order to determine the history input information of unique topic classification that input content information is corresponding, the scheme meeting synthetic user in the embodiment of the present application accurately, in multiple topic classification, getting rid of incoherent topic, determine that immediate topic is classified with content information.Therefore, the scheme in the embodiment of the present application achieves the technique effect of the precision improving the topic classification corresponding with content information.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present application or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only the embodiment of the present application, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the accompanying drawing provided.
The process flow diagram of a kind of information processing method that Fig. 1 provides for the embodiment of the present application one;
The structured flowchart of a kind of electronic equipment that Fig. 2 provides for the embodiment of the present application two;
The structured flowchart of a kind of electronic equipment that Fig. 3 provides for the embodiment of the present application three.
Embodiment
The embodiment of the present application provides a kind of information processing method and electronic equipment, exist when the demand of user exceeds the process range of electronic equipment itself for solving in prior art, the technical matters that electronic equipment cannot be met consumers' demand, achieves the technique effect improving electronic equipment degree of intelligence.
Technical scheme in the embodiment of the present application is solve above-mentioned technical matters, and general thought is as follows:
Obtain the content information of the first user input of the first electronic equipment; Based on described content information, determine N number of user in user library, to make described N number of user process described content information, wherein, described N number of user is the user different from described first user, and N is positive integer; Result is fed back to described first electronic equipment.
In technique scheme, when user carries out input operation, obtain the content information of input.As user's input is consulting class content, in user library, so just determine the N number of user be associated with this consulting class content.Described N number of user can process, answer the reference content of user, and generating process result, user just can obtain the answer of oneself counseling problem based on the result of feedback.And in prior art after user input content, electronic equipment can find in the database of this locality or network relevant in perhaps answer, and other users can not be sent to allow other users process.If do not search corresponding result in local data base or network, then cannot answer for user.Visible, the scheme in the embodiment of the present application can solve in prior art to be existed when the demand of user exceeds the process range of electronic equipment itself, and the technical matters that electronic equipment cannot be met consumers' demand, achieves the technique effect improving electronic equipment degree of intelligence.
In order to better understand technique scheme, below by accompanying drawing and specific embodiment, technical solution of the present invention is described in detail, the specific features being to be understood that in the embodiment of the present application and embodiment is the detailed description to technical solution of the present invention, instead of the restriction to technical solution of the present invention, when not conflicting, the technical characteristic in the embodiment of the present application and embodiment can combine mutually.
Embodiment one
Please refer to Fig. 1, the embodiment of the present application provides a kind of information processing method, comprising:
S10: the content information getting the first user input of the first electronic equipment;
S20: based on described content information, determines N number of user in user library, and to make described N number of user process described content information, wherein, described N number of user is the user different from described first user, and N is positive integer;
S30: result is fed back to described first electronic equipment.
In specific implementation process, described first electronic equipment can be mobile phone, panel computer, also can be other electronic equipment.In the first electronic equipment, be provided with intelligent assistant, Intelligent steward etc., user can link up with intelligent assistant.Owing to being provided with intelligent assistant in each electronic equipment, so intelligent assistant has many users, therefore, intelligent assistant can be regarded as a platform or a system, the user of this intelligent assistant can at this platform or the enterprising line operate of system.In the embodiment of the present application, intelligent assistant can have independently processing server, as virtual machine, cloud computing platform.This server is different from the first electronic equipment, and the data processing work of intelligent assistant completes on the server.Certainly, the processing capacity of intelligent assistant can directly realize on the first electronic equipment, and the application does not limit.That is, the method in the embodiment of the present application both at the first electronic equipment, namely subscriber terminal equipment can realize, also went for server.
In the embodiment of the present application, take the first electronic equipment as the mobile phone that intelligent assistant is housed, and intelligent assistant has independently processing server is example, the implementation procedure of the method in the embodiment of the present application is described in detail.
First, step S10 is performed: the content information getting the first user input of the first electronic equipment.
In specific implementation process, the user of the first electronic equipment, when using intelligent assistant, can be linked up by phonetic entry or Text Input and intelligent assistant.When user uses voice to input, intelligent assistant can carry out speech recognition, and Content Transformation user said is word.
Before execution step S20, the scheme in the embodiment of the present application also comprises:
Receive the process request that described first electronic equipment sends, wherein, the request that described process request is the described content information of process that described first electronic equipment cannot process described content information and generate.
Specifically, when intelligent assistant receives the content information of user's input, can first determine whether can process described content information.When intelligent assistant self can process described content information, then only need search for the information relevant to described content information in the knowledge base of intelligent assistant, and show.The knowledge base of intelligence assistant can store on the server, and knowledge base bag expands the information that server this locality has, and also comprises the information that can find on network.As, the content information of user's input is " weather condition of today ", and intelligent assistant can directly find corresponding result on the net, now, only needs intelligent assistant itself to process, does not need to send to other users again.
When the described content information of user's input is beyond the envelop of function of intelligent assistant, namely the information relevant to described content information cannot be found in knowledge base, then need to send described content information to other users, now, the mobile phone of user can send a process request to server, and described content information is sent on electronic equipment corresponding to other users based on described process request by server.Recommend the A restaurant just opened for business a yesterday to described first user if any people, first user is wanted to have a try, and just inputs in intelligent assistant in " search A restaurant ".Because A restaurant just opened for business yesterday, cannot find the information relevant to A restaurant in knowledge base, that is beyond the process range of intelligent assistant, then this content information is sent to other users by intelligent assistant, answers to enable other users.
After the described content information of acquisition, the scheme in the embodiment of the present application also comprises:
Extract the key word information in described content information and/or clause information;
Based on described key word information and/or clause information, in default topic class library, determine the first topic classification.
In the embodiment of the present application, keyword can comprise the noun of different field, as name, place name, store name, movie name etc., the extraction of keyword can adopt TextRank algorithm, extracting method etc. based on model-naive Bayesian, and the application is not specifically limited.For example, when the input content of described first user is for " I will see a film Ah sweet's main story ", key word information is " film " " Ah sweet's main story ", and information is " I will see ... " to clause.Store one on the server and preset topic class library, store the keyword of every field and typical clause information in this topic class library, by formula, keyword and clause are combined, just can form multiple topic.Mate in default topic class library based on " film ", " Ah sweet's main story ", " I will see ", determine described first topic classification, described first topic classification can be the classification that scope is larger, as film class, also can be accurate classification, as film Ah sweet main story, those skilled in the art can be arranged according to actual needs.
Following execution step S20: based on described content information, determines N number of user in user library, and to make described N number of user process described content information, wherein, described N number of user is the user different from described first user, and N is positive integer.
Specifically, namely based on described first topic classification, in described user library, described N number of user is determined.Because intelligent assistant has many users, therefore, the user of intelligent for all uses assistant is set up into described user library.Further, intelligent assistant can record each user use record at ordinary times, analyzes the active degree of each user in every field.As the information of user 1 often search or process relevant laws aspect, then intelligent assistant to mark user 1 higher at legal field active degree.Like this, the user in described user library can have field active separately.When the described content information inputted based on user determines the first topic classification, just described N number of user that the first topic is classified in described field can be determined according to the user's active area in user library.
In addition, described content information can be only the condition determining described N number of user.Further, obtain the positional information of described first user, input the temporal information of described content information, based on described positional information, described temporal information and described content information, determine described N number of user in described user library.As described in first user input " near whom has want to see modern drama ", while acquisition input content information, obtain the current residing primary importance of first user, and to the human hair carry information near primary importance.
In specific implementation process, step S20 includes but not limited to following several embodiment:
The first embodiment
Based on described first topic classification, when determining that described first topic is categorized as group topic, determine the number of users M needed for described first topic classification;
In described user library, determine that M-1 the second user is described N number of user, wherein, described M-1 the second user classifies relevant to described first topic;
Accordingly, the embodiment that step S30 is corresponding is:
Create the group comprising described M-1 the second user and described first user, wherein, described in described group, M-1 the second user can exchange with described first user.
Specifically, group topic refers to the topic that many people participate in, as user's input " mobile phone recommendation ", when this content information is sent to the user of field of mobile phones by intelligent assistant, a lot of replies can be received, now, one can be created and group is discussed, to link up.Number of users M needed for described first topic classification can be intelligent assistant acquiescence, if M is 30, the group so created just comprises 30 members, and 30 members comprise described first user, to classify the relevant user in described field for 29 that also comprise other to the first topic.Certainly, the number of users M needed for described first topic classification can also be the number of users participating in described content information process.When " mobile phone recommendation " is sent in any active ues of field of mobile phones by intelligent assistant, receive the reply of 12 users, so intelligent assistant sets up a mobile phone for these 12 users and described first user and recommends group, and that is the value of M is 13.Those skilled in the art can also arrange M value according to actual needs, and specific requirement is not done in this area.
The second embodiment
Based on described first topic classification, when determining that described first topic is categorized as non-group topic, from described user library, select the second user meeting preset number is described N number of user;
Accordingly, the embodiment that step S30 is corresponding is:
The electronic equipment corresponding respectively to described second user sends described content information;
Receive the process information of electronic equipment feedback corresponding to described second user, wherein said process information is the process information that described second user inputs based on described content information; Described process information is fed back to described first electronic equipment.
Specifically, non-group topic is that user wishes to obtain definite result, does not need to set up the topic that group is discussed.As, described first user input " this term course arrangement of B institute of A university ", this input content shows that first user needs to obtain a definite answer, and intelligent assistant needs to determine a best result.Based on input content, intelligent assistant can by topic classification and orientation in B institute of A university, and in user library, search the high N number of user of the degree of correlation of classifying with this topic.Certainly, the value of N can be the preset value of intelligent assistant acquiescence, also can be random value, can also for participating in the user number of this topic classification, and the application is not specifically limited.After determining described N number of user, the content information of input is sent to this N number of user by intelligent assistant, processes content information to make N number of user.In specific implementation process, although content information is sent to N number of user, be not that N number of user can process, like this, the quantity of the process information that intelligent assistant receives should for being less than or equal to N's.Further, when intelligent assistant receives multiple process information, this multiple process information all can be fed back to first user, also can pick out a best result and feed back to first user in multiple process information, the application is not specifically limited.
Further, described user library can divide according to the attribute of user, as user library being divided into domestic consumer storehouse, expert user storehouse, businessman's user library etc.Like this, when determining the second user processing described content information, searching in the storehouse just can be correlated with again, and whole user library need not be traveled through, improve the treatment effeciency of intelligent assistant.
Concrete, when described first topic is categorized as professional class topic, determine described N number of user in the professional user storehouse in described user library, wherein, described N number of user is the expert user in field belonging to described first topic classification.
When described first topic is categorized as commodity consultation class topic, determine described N number of user in the businessman's user library in described user library, wherein, described N number of user is the businessman user be associated with the commodity of consulting.
For example, when the input content of user relates to commodity consultation topic, as user's input " information of discount in A market ", this content is defined as commodity consultation class topic by intelligent assistant, and in businessman's user library, search the described N number of businessman user relevant with A market.Like this, the N number of businessman user determined just can answer user the content information of input targetedly.
In addition, when intelligent assistant receives the identical demand of multiple user, when there is discounting activity as intelligent assistant receives many input information query D restaurants.Intelligence assistant then can determine the businessman user relevant to D restaurant in businessman's user library, and whether when D restaurant gives a discount owing to there being many people to inquire to inform this businessman user, consider to carry out purchasing by group activity.After this businessman determines that initiation purchases by group activity, intelligent assistant can automatically initiate to purchase by group and this result be fed back to the multiple users having identical demand.
For another example, comparatively professional at the input content of user, when general user cannot answer, this content information is sent to expert user.As user's input " molecular structure factor is on the impact of molecular reaction activity ", because problem belongs to the professional problem of molecule topic class, the expert that this content information can be pushed to molecule field by intelligent assistant answers.Owing to employing the cost of expert higher, first can be sent to domestic consumer when user inputs professional content, send to expert user again when domestic consumer does not answer.In addition, in the embodiment of the present application, according to the question and answer information of domestic consumer, the professional ability of this user at specific area can be accumulated, through accumulation growth system, user is trained the expert in this field, achieve the effect reducing expert's cost.
In the embodiment of the present application, in order to enable the N number of user determined meet described content information completely, S20 can also adopt following steps to realize:
K the user matched with described content information is determined in described user library;
Select from a described K user and meet pre-conditioned described N number of user.
Specifically, a described K user is completely by the user that described content information is determined, that is described content information is the unique conditional determining K user.As user's input " A market second floor apparel brand ", so intelligent assistant determines the user matched with " A market second floor apparel brand " completely in user library, other associated users as " A market second floor case and bag brand " or " 3rd floors, A market apparel brand " not as described in K user scope in.Further, a described K user is all users of mating completely with described content information.
After determining a described K user, in a described K user, select N number of user as the user of the described content information of process.Defining method can with reference to the method in above-mentioned first embodiment and the second embodiment.That is: when determining that first topic corresponding with described content information is categorized as group topic, the number of users M needed for described first topic classification is determined; In a described K user, determine that M-1 the second user is described N number of user, wherein, described M-1 the second user classifies relevant to described first topic.And when determining that first topic corresponding with described content information is categorized as non-group topic, selecting the second user meeting preset number from a described K user is described N number of user.Specific implementation please refer to description above, has not just repeated at this.
Further; user is when using intelligent assistant; if according to the once input of user, intelligent assistant only determines that topic is classified; often can produce ambiguity; that is based on an input content of user; determine that multiple topic is classified, in order to solve the problem, have employed following methods in the embodiment of the present application:
Determine in default topic class library and to classify with S topic of described key word information and/or clause information match, S is positive integer;
Obtain the historical information of described first user input;
Based on described key word information and/or clause information, and described historical information, in described S topic classification, determine described first topic classification.
For example, the current of user is input as " having another one ", only according to input content, has many topics matched with " having another one " and classify in the user library of intelligent assistant.Title of the song if any a first song has another one, and has the exercise question of one section of article to be have another one.Like this, intelligent assistant does not just know which is only the topic that process on earth.In the embodiment of the present application, when running into the corresponding multiple topic of the content information once inputted and classifying, intelligent assistant can obtain the history input information of first user, and comprehensive contextual information determines topic the most accurately in multiple topic classification.Still continue to use example above, when user current is input as " having another one ", the history input information obtaining user is " saying a joke ", in conjunction with history input information, intelligence assistant just knows that " the having another one " that will perform is for retelling a joke, visible, can determine that the classification of unique topic is gone forward side by side row relax according to historical information.
Further, the knowledge base of the intelligent assistant in the embodiment of the present application can constantly carry out supplementing and self-perfection.As cannot process as intelligent assistant itself first user input content information time, this content information is sent to other users and processes.Assistant is while feeding back to first user by result for intelligence, also result can be stored in the knowledge base of oneself, when useful family inputs identical content information next time, intelligent assistant just can search result in knowledge base, and answers without the need to being sent to other users again.
Embodiment two
Based on the inventive concept identical with the embodiment of the present application one, please refer to Fig. 2, the embodiment of the present application two provides a kind of electronic equipment, comprising:
Input media 21, for obtaining the content information of the first user input of the first electronic equipment;
Processor 22, is connected with described input media 21, for based on described content information, N number of user is determined, to make described N number of user process described content information, wherein in user library, described N number of user is the user different from described first user, and N is positive integer; And result is fed back to described first electronic equipment.
Further, described electronic equipment also comprises:
Communicator, is connected with described processor 22, for receiving the process request that described first electronic equipment sends, wherein, and the request that described process request is the described content information of process that described first electronic equipment cannot process described content information and generate.
In specific implementation process, described electronic equipment also comprises: storer and I/O interface.Processor 22 can be specifically general central processing unit (CPU), can be that ASIC(Application Specific Integrated Circuit) is (English: ApplicationSpecificIntegratedCircuit, being called for short: ASIC), can be one or more integrated circuit performed for control program.The quantity of storer can be one or more.Storer can comprise ROM (read-only memory) (English: ReadOnlyMemory, be called for short: ROM), random access memory (English: RandomAccessMemory, RAM) and magnetic disk memory be called for short:.These storeies, communicator are connected with processor 22 by bus.Communicator can comprise receiver and transmitter.Receiver and transmitter can be two physically independent elements, also can be same elements physically.I/O interface may be used for connecting peripheral apparatus.Instruction can be stored, the instruction that processor 22 can store in execute store in storer.
Further, described processor 22 for:
K the user matched with described content information is determined in described user library;
Select from a described K user and meet pre-conditioned described N number of user.
Further, described processor 22 also for:
Extract the key word information in described content information and/or clause information;
Based on described key word information and/or clause information, in default topic class library, determine the first topic classification;
Based on described first topic classification, in described user library, determine described N number of user.
Further, described processor 22 for:
Based on described first topic classification, when determining that described first topic is categorized as group topic, determine the number of users M needed for described first topic classification;
In described user library, determine that M-1 the second user is described N number of user, wherein, described M-1 the second user classifies relevant to described first topic;
Create the group comprising described M-1 the second user and described first user, wherein, described in described group, M-1 the second user can exchange with described first user.
Further, described processor 22 for:
Based on described first topic classification, when determining that described first topic is categorized as non-group topic, from described user library, select the second user meeting preset number is described N number of user;
The electronic equipment corresponding respectively to described second user sends described content information;
Receive the process information of electronic equipment feedback corresponding to described second user, wherein said process information is the process information that described second user inputs based on described content information; Described process information is fed back to described first electronic equipment.
Further, described processor 22 for:
Determine in default topic class library and to classify with S topic of described key word information and/or clause information match, S is positive integer;
Obtain the historical information of described first user input;
Based on described key word information and/or clause information, and described historical information, in described S topic classification, determine described first topic classification.
Various variation pattern in information processing method in earlier figures 1 embodiment and instantiation are equally applicable to the electronic equipment of the present embodiment, by the aforementioned detailed description to information processing method, those skilled in the art clearly can know the implementation method of electronic equipment in the present embodiment, so succinct in order to instructions, be not described in detail in this.
Embodiment three
Based on the inventive concept identical with the embodiment of the present application one, the embodiment of the present application three provides a kind of electronic equipment, please refer to Fig. 3, comprising:
Acquiring unit 31, for obtaining the content information of the first user input of the first electronic equipment;
Processing unit 32, for based on described content information, determines N number of user in user library, and to make described N number of user process described content information, wherein, described N number of user is the user different from described first user, and N is positive integer;
Feedback unit 33, for feeding back to described first electronic equipment by result.
Further, described electronic equipment also comprises:
Receiving element, for receiving the process request that described first electronic equipment sends, wherein, the request that described process request is the described content information of process that described first electronic equipment cannot process described content information and generate.
Further, described processing unit 32, comprising:
First determines subelement, for determining K the user matched with described content information in described user library;
First chooser unit, meets pre-conditioned described N number of user for selecting from a described K user.
Further, described electronic equipment also comprises:
Extraction unit, for extracting key word information in described content information and/or clause information;
Determining unit, for based on described key word information and/or clause information, determines the first topic classification in default topic class library;
Accordingly, described processing unit 32, comprising:
Second determines subelement, for based on described first topic classification, determines described N number of user in described user library.
Further, described processing unit 32, comprising:
3rd determines subelement, for based on described first topic classification, when determining that described first topic is categorized as group topic, determines the number of users M needed for described first topic classification;
4th determines subelement, and for determining that in described user library M-1 the second user is described N number of user, wherein, described M-1 the second user classifies relevant to described first topic;
Accordingly, described feedback unit 33, comprising:
First creates subelement, and for creating the group comprising described M-1 the second user and described first user, wherein, described in described group, M-1 the second user can exchange with described first user.
Further, described processing unit 32, comprising:
5th determines subelement, and for classifying based on described first topic, when determining that described first topic is categorized as non-group topic, from described user library, select the second user meeting preset number is described N number of user;
Accordingly, described feedback unit 33, comprising:
First sends subelement, sends described content information for the electronic equipment corresponding respectively to described second user;
First receives subelement, and for receiving the process information of electronic equipment feedback corresponding to described second user, wherein said process information is the process information that described second user inputs based on described content information; Described process information is fed back to described first electronic equipment.
Further, described determining unit, comprising:
6th determines subelement, and to classify with S topic of described key word information and/or clause information match for determining in default topic class library, S is positive integer;
First obtains subelement, for obtaining the historical information of described first user input;
7th determines subelement, for based on described key word information and/or clause information, and described historical information, in described S topic classification, determine described first topic classification.
Various variation pattern in information processing method in earlier figures 1 embodiment and instantiation are equally applicable to the electronic equipment of the present embodiment, by the aforementioned detailed description to information processing method, those skilled in the art clearly can know the implementation method of electronic equipment in the present embodiment, so succinct in order to instructions, be not described in detail in this.
Above-mentioned one or more technical scheme in the embodiment of the present application, at least has one or more technique effects following:
One, the scheme in the embodiment of the present application, when user carries out input operation, obtains the content information of input.As user's input is consulting class content, in user library, so just determine the N number of user be associated with this consulting class content.Described N number of user can process, answer the reference content of user, and generating process result, user just can obtain the answer of oneself counseling problem based on the result of feedback.And in prior art after user input content, electronic equipment can find in the database of this locality or network relevant in perhaps answer, and other users can not be sent to allow other users process.If do not search corresponding result in local data base or network, then cannot answer for user.Visible, the scheme in the embodiment of the present application can solve in prior art to be existed when the demand of user exceeds the process range of electronic equipment itself, and the technical matters that electronic equipment cannot be met consumers' demand, achieves the technique effect improving electronic equipment degree of intelligence.
Two, the content information that the scheme in the embodiment of the present application inputs based on user, extracts the key word information in content information and/or clause information.By the combination of keyword and/or clause information, determine the topic classification that content information is corresponding, as life kind, travelling class, or the classification of more refinement, as periphery cuisines class, Chengdu recommending scenery spot class.Determine to classify with this topic corresponding N number of user according to topic classification.Therefore, the scheme in the embodiment of the present application achieves the technique effect accurately determining the user be associated with input content.
Three, the scheme in the embodiment of the present application can process in different ways based on different topic classification.During as being categorized as group chatting topic at topic, electronic equipment can create group or discussion group, automatically to enable to carry out communication and discussion to the interested user of this topic in group.For another example, when topic is categorized as commodity sales promotion class topic, electronic equipment can initiate to purchase by group activity according to user's request.Visible, the scheme in the embodiment of the present application can carry out different process for different content informations, meets the demand of user to greatest extent, improves user experience.
Four, the scheme in the embodiment of the present application is when determining the topic classification corresponding with content information, and the once input according to user may be classified to having multiple topic.In order to determine the history input information of unique topic classification that input content information is corresponding, the scheme meeting synthetic user in the embodiment of the present application accurately, in multiple topic classification, getting rid of incoherent topic, determine that immediate topic is classified with content information.Therefore, the scheme in the embodiment of the present application achieves the technique effect of the precision improving the topic classification corresponding with content information.
Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) of computer usable program code.
The present invention describes with reference to according to the process flow diagram of the method for the embodiment of the present invention, equipment (system) and computer program and/or block scheme.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and process flow diagram and/or block scheme and/or square frame.These computer program instructions can being provided to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computing machine or other programmable data processing device produce device for realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be loaded in computing machine or other programmable data processing device, make on computing machine or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computing machine or other programmable devices is provided for the step realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
Specifically, the computer program instructions that information processing method in the embodiment of the present application is corresponding can be stored in CD, hard disk, on the storage mediums such as USB flash disk, read by an electronic equipment when the computer program instructions corresponding with information processing method in storage medium or when being performed, comprise the steps:
Obtain the content information of the first user input of the first electronic equipment;
Based on described content information, determine N number of user in user library, to make described N number of user process described content information, wherein, described N number of user is the user different from described first user, and N is positive integer;
Result is fed back to described first electronic equipment.
Optionally, store in described storage medium and step: described based on described content information, in user library, determine computer program instructions corresponding to N number of user before being executed, also will perform computer program instructions corresponding to the following step:
Receive the process request that described first electronic equipment sends, wherein, the request that described process request is the described content information of process that described first electronic equipment cannot process described content information and generate.
Optionally, store in described storage medium and step: described based on described content information, in user library, determine that computer program instructions corresponding to N number of user is when being performed, and comprising:
K the user matched with described content information is determined in described user library;
Select from a described K user and meet pre-conditioned described N number of user.
Optionally, store in described storage medium with step: computer program instructions corresponding to the content information inputted at the first user of described acquisition first electronic equipment, after being performed, also will perform computer program instructions corresponding to the following step:
Extract the key word information in described content information and/or clause information;
Based on described key word information and/or clause information, in default topic class library, determine the first topic classification;
Accordingly, store in described storage medium and step: described based on described content information, in user library, determine that computer program instructions corresponding to N number of user is when being performed, and comprising:
Based on described first topic classification, in described user library, determine described N number of user.
Optionally, store in described storage medium and step: described based on described content information, in user library, determine that computer program instructions corresponding to N number of user is when being performed, and comprising:
Based on described first topic classification, when determining that described first topic is categorized as group topic, determine the number of users M needed for described first topic classification;
In described user library, determine that M-1 the second user is described N number of user, wherein, described M-1 the second user classifies relevant to described first topic;
Accordingly, store in described storage medium with step: described result being fed back to computer program instructions corresponding to described first electronic equipment when being performed, comprising:
Create the group comprising described M-1 the second user and described first user, wherein, described in described group, M-1 the second user can exchange with described first user.
Optionally, store in described storage medium and step: described based on described content information, in user library, determine that computer program instructions corresponding to N number of user is when being performed, and comprising:
Based on described first topic classification, when determining that described first topic is categorized as non-group topic, from described user library, select the second user meeting preset number is described N number of user;
Accordingly, store in described storage medium with step: described result being fed back to computer program instructions corresponding to described first electronic equipment when being performed, comprising:
The electronic equipment corresponding respectively to described second user sends described content information;
Receive the process information of electronic equipment feedback corresponding to described second user, wherein said process information is the process information that described second user inputs based on described content information; Described process information is fed back to described first electronic equipment.
Optionally, store in described storage medium and step: described based on described key word information and/or clause information, in default topic class library, determine that computer program instructions corresponding to the first topic classification is when being performed, and comprising:
Determine in default topic class library and to classify with S topic of described key word information and/or clause information match, S is positive integer;
Obtain the historical information of described first user input;
Based on described key word information and/or clause information, and described historical information, in described S topic classification, determine described first topic classification.
Although describe the preferred embodiments of the present invention, those skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the scope of the invention.
Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (15)
1. an information processing method, comprising:
Obtain the content information of the first user input of the first electronic equipment;
Based on described content information, determine N number of user in user library, to make described N number of user process described content information, wherein, described N number of user is the user different from described first user, and N is positive integer;
Result is fed back to described first electronic equipment.
2. the method for claim 1, is characterized in that, described based on described content information, determine N number of user in user library before, described method also comprises:
Receive the process request that described first electronic equipment sends, wherein, the request that described process request is the described content information of process that described first electronic equipment cannot process described content information and generate.
3. method as claimed in claim 1 or 2, is characterized in that, described based on described content information, determines N number of user, comprising in user library:
K the user matched with described content information is determined in described user library;
Select from a described K user and meet pre-conditioned described N number of user.
4. method as claimed in claim 1 or 2, it is characterized in that, after the content information that the first user of described acquisition first electronic equipment inputs, described method also comprises:
Extract the key word information in described content information and/or clause information;
Based on described key word information and/or clause information, in default topic class library, determine the first topic classification;
Accordingly, described based on described content information, in user library, determine N number of user, comprising:
Based on described first topic classification, in described user library, determine described N number of user.
5. method as claimed in claim 4, is characterized in that, described based on described content information, determines N number of user, comprising in user library:
Based on described first topic classification, when determining that described first topic is categorized as group topic, determine the number of users M needed for described first topic classification;
In described user library, determine that M-1 the second user is described N number of user, wherein, described M-1 the second user classifies relevant to described first topic;
Accordingly, describedly result is fed back to described first electronic equipment, comprising:
Create the group comprising described M-1 the second user and described first user, wherein, described in described group, M-1 the second user can exchange with described first user.
6. method as claimed in claim 4, is characterized in that, described based on described content information, determines N number of user, comprising in user library:
Based on described first topic classification, when determining that described first topic is categorized as non-group topic, from described user library, select the second user meeting preset number is described N number of user;
Accordingly, describedly result is fed back to described first electronic equipment, comprising:
The electronic equipment corresponding respectively to described second user sends described content information;
Receive the process information of electronic equipment feedback corresponding to described second user, wherein said process information is the process information that described second user inputs based on described content information; Described process information is fed back to described first electronic equipment.
7. method as claimed in claim 4, is characterized in that, described based on described key word information and/or clause information, determines the first topic classification, comprising in default topic class library:
Determine in default topic class library and to classify with S topic of described key word information and/or clause information match, S is positive integer;
Obtain the historical information of described first user input;
Based on described key word information and/or clause information, and described historical information, in described S topic classification, determine described first topic classification.
8. an electronic equipment, comprising:
Input media, for obtaining the content information of the first user input of the first electronic equipment;
Processor, is connected with described input media, for based on described content information, N number of user is determined, to make described N number of user process described content information, wherein in user library, described N number of user is the user different from described first user, and N is positive integer; And result is fed back to described first electronic equipment.
9. electronic equipment as claimed in claim 8, it is characterized in that, described electronic equipment also comprises:
Communicator, is connected with described processor, for receiving the process request that described first electronic equipment sends, wherein, and the request that described process request is the described content information of process that described first electronic equipment cannot process described content information and generate.
10. electronic equipment as claimed in claim 8 or 9, it is characterized in that, described processor is used for:
K the user matched with described content information is determined in described user library;
Select from a described K user and meet pre-conditioned described N number of user.
11. electronic equipments as claimed in claim 8 or 9, is characterized in that, described processor also for:
Extract the key word information in described content information and/or clause information;
Based on described key word information and/or clause information, in default topic class library, determine the first topic classification;
Based on described first topic classification, in described user library, determine described N number of user.
12. electronic equipments as claimed in claim 11, it is characterized in that, described processor is used for:
Based on described first topic classification, when determining that described first topic is categorized as group topic, determine the number of users M needed for described first topic classification;
In described user library, determine that M-1 the second user is described N number of user, wherein, described M-1 the second user classifies relevant to described first topic;
Create the group comprising described M-1 the second user and described first user, wherein, described in described group, M-1 the second user can exchange with described first user.
13. electronic equipments as claimed in claim 11, it is characterized in that, described processor is used for:
Based on described first topic classification, when determining that described first topic is categorized as non-group topic, from described user library, select the second user meeting preset number is described N number of user;
The electronic equipment corresponding respectively to described second user sends described content information;
Receive the process information of electronic equipment feedback corresponding to described second user, wherein said process information is the process information that described second user inputs based on described content information; Described process information is fed back to described first electronic equipment.
14. electronic equipments as claimed in claim 11, it is characterized in that, described processor is used for:
Determine in default topic class library and to classify with S topic of described key word information and/or clause information match, S is positive integer;
Obtain the historical information of described first user input;
Based on described key word information and/or clause information, and described historical information, in described S topic classification, determine described first topic classification.
15. 1 kinds of electronic equipments, comprising:
Acquiring unit, for obtaining the content information of the first user input of the first electronic equipment;
Processing unit, for based on described content information, determines N number of user in user library, and to make described N number of user process described content information, wherein, described N number of user is the user different from described first user, and N is positive integer;
Feedback unit, for feeding back to described first electronic equipment by result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510447101.8A CN105095456B (en) | 2015-07-27 | 2015-07-27 | A kind of information processing method and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510447101.8A CN105095456B (en) | 2015-07-27 | 2015-07-27 | A kind of information processing method and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105095456A true CN105095456A (en) | 2015-11-25 |
| CN105095456B CN105095456B (en) | 2019-11-26 |
Family
ID=54575892
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510447101.8A Active CN105095456B (en) | 2015-07-27 | 2015-07-27 | A kind of information processing method and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105095456B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107153947A (en) * | 2017-04-28 | 2017-09-12 | 联想(北京)有限公司 | A kind of information processing method and electronic equipment |
| CN112818186A (en) * | 2021-01-22 | 2021-05-18 | 平安消费金融有限公司 | Information tracking method and device, electronic equipment and storage medium |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1821991A (en) * | 2005-02-18 | 2006-08-23 | 上海赢思软件技术有限公司 | Knowledge question-and-answer quick processing system based on artificial intelligence |
| CN101217515A (en) * | 2008-01-03 | 2008-07-09 | 腾讯科技（深圳）有限公司 | A system and method based on question sorting and push |
| CN101257512A (en) * | 2008-02-02 | 2008-09-03 | 黄伟才 | Inquiry answer matching method used for inquiry answer system as well as inquiry answer method and system |
| CN101674254A (en) * | 2008-09-08 | 2010-03-17 | 罗肖 | System and method for network real-time interactive question-answering |
| CN102054040A (en) * | 2010-12-30 | 2011-05-11 | 百度在线网络技术（北京）有限公司 | Knowledge information interaction service method and site and questioning and answering interaction platform |
| CN102546469A (en) * | 2011-12-29 | 2012-07-04 | 北京百度网讯科技有限公司 | Method and device for establishing instant messaging group based on search trigger |
| JP2013143066A (en) * | 2012-01-12 | 2013-07-22 | Kddi Corp | Question and answer program, server and method which use large amount of comment texts |
| CN103455592A (en) * | 2013-08-30 | 2013-12-18 | 广州网易计算机系统有限公司 | Question answering method, device and system |
| CN103473297A (en) * | 2013-09-05 | 2013-12-25 | 北京邮电大学 | Multimedia question-answering system and method based on intelligent mobile terminal |
| CN103678358A (en) * | 2012-09-13 | 2014-03-26 | 腾讯科技（深圳）有限公司 | Information search method and system |
| CN103823844A (en) * | 2014-01-26 | 2014-05-28 | 北京邮电大学 | Question forwarding system and question forwarding method on the basis of subjective and objective context and in community question-and-answer service |
-
2015
- 2015-07-27 CN CN201510447101.8A patent/CN105095456B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1821991A (en) * | 2005-02-18 | 2006-08-23 | 上海赢思软件技术有限公司 | Knowledge question-and-answer quick processing system based on artificial intelligence |
| CN101217515A (en) * | 2008-01-03 | 2008-07-09 | 腾讯科技（深圳）有限公司 | A system and method based on question sorting and push |
| CN101257512A (en) * | 2008-02-02 | 2008-09-03 | 黄伟才 | Inquiry answer matching method used for inquiry answer system as well as inquiry answer method and system |
| CN101674254A (en) * | 2008-09-08 | 2010-03-17 | 罗肖 | System and method for network real-time interactive question-answering |
| CN102054040A (en) * | 2010-12-30 | 2011-05-11 | 百度在线网络技术（北京）有限公司 | Knowledge information interaction service method and site and questioning and answering interaction platform |
| CN102546469A (en) * | 2011-12-29 | 2012-07-04 | 北京百度网讯科技有限公司 | Method and device for establishing instant messaging group based on search trigger |
| JP2013143066A (en) * | 2012-01-12 | 2013-07-22 | Kddi Corp | Question and answer program, server and method which use large amount of comment texts |
| CN103678358A (en) * | 2012-09-13 | 2014-03-26 | 腾讯科技（深圳）有限公司 | Information search method and system |
| CN103455592A (en) * | 2013-08-30 | 2013-12-18 | 广州网易计算机系统有限公司 | Question answering method, device and system |
| CN103473297A (en) * | 2013-09-05 | 2013-12-25 | 北京邮电大学 | Multimedia question-answering system and method based on intelligent mobile terminal |
| CN103823844A (en) * | 2014-01-26 | 2014-05-28 | 北京邮电大学 | Question forwarding system and question forwarding method on the basis of subjective and objective context and in community question-and-answer service |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107153947A (en) * | 2017-04-28 | 2017-09-12 | 联想(北京)有限公司 | A kind of information processing method and electronic equipment |
| CN112818186A (en) * | 2021-01-22 | 2021-05-18 | 平安消费金融有限公司 | Information tracking method and device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105095456B (en) | 2019-11-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3805954A1 (en) | Method for sharing knowledge between dialog systems, and dialog method and apparatus | |
| CN106294500B (en) | Content item pushing method, device and system | |
| US11064270B1 (en) | Providing content related to a selected channel for presentation to a user via a client device | |
| CN106972940B (en) | Group communication method, device and electronic equipment | |
| CN104882143A (en) | Cloud intelligent learning robot | |
| CN104751354B (en) | A kind of advertisement crowd screening technique | |
| EP3822814A2 (en) | Human-machine interaction method and apparatus based on neural network | |
| US20210397666A1 (en) | Method and system for providing organized content | |
| CN103970791B (en) | A kind of method, apparatus for recommending video from video library | |
| US9087130B2 (en) | Generating snippets for prominent users for information retrieval queries | |
| CN109242537A (en) | Advertisement placement method, device, computer equipment and storage medium | |
| CN102184199A (en) | Network information recommending method and system | |
| CN104636373A (en) | Information push method and device | |
| Costa et al. | Emotion-based recommender system for overcoming the problem of information overload | |
| CN109471978A (en) | A kind of e-sourcing recommended method and device | |
| CN107634897A (en) | Group recommends method and apparatus | |
| CN111460120A (en) | Conversation management method, device, equipment and storage medium | |
| WO2014005505A1 (en) | Methods and systems for displaying microblog topics | |
| US9369536B1 (en) | Event-based user behavior timeline, predictions, and recommendations | |
| CN105095456A (en) | Information processing method and electronic device | |
| CN103399879B (en) | The interested entity preparation method and device of daily record are searched for based on user | |
| CN106844365A (en) | The application message method for pushing and device of a kind of application distribution platform | |
| WO2020135420A1 (en) | Method and apparatus for classifying users | |
| CN109242252B (en) | Intelligent service platform and method | |
| CN103778232A (en) | Method and device for processing personalized information |
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 |