CN108984528A - A kind of social contact method based on thinking distance - Google Patents
A kind of social contact method based on thinking distance Download PDFInfo
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- CN108984528A CN108984528A CN201810768801.0A CN201810768801A CN108984528A CN 108984528 A CN108984528 A CN 108984528A CN 201810768801 A CN201810768801 A CN 201810768801A CN 108984528 A CN108984528 A CN 108984528A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/284—Lexical analysis, e.g. tokenisation or collocates
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
Abstract
A kind of social contact method based on thinking distance, the present invention relates to social software technical fields；This method supports user by the invisible of oneself, the thinking that content is different, at random, pass through standardization, the planning thinking template of science, export into electronic data content tangible, unity of form, logically, the formal unification of this mental representation, so that thinking is provided with the property that can quantify, can compare, be based on the property, according to content description participle used, the thinking distance between user is calculated by algorithm, reaches the purpose social based on thinking distance.It is easier that user is allowed to find crowd with a common goal, improves social efficiency, meanwhile, a certain number of crowds for being best suitable for condition are only recommended user by way of controlling recommendation number by this method, ensure that social quality.
Description
Technical field
The present invention relates to social software technical fields, and in particular to a kind of social contact method based on thinking distance.
Background technique
With the development of development of Mobile Internet technology, exponentially type increases the online hours of people, so that original " calculate
The interconnection mode of machine-internet-computer " develops into the interconnection mode of " people-internet-people ", the social patterns between people
Also interconnection networking completely, the social activity product such as social activity, interest social activity, workplace social activity, live streaming, short-sighted frequency social activity based on geography fence
It emerges in multitude out as emerging rapidly in large numbersBamboo shoots after a spring rain.These social products meet a variety of different social demands of people, and with information skill
The continuous development of art, more social activity demands will be exploited out, and social product also will be in constantly upgrading be changed.At present
Social product in the market is mostly to carry out social activity based on interest, and thinking social activity is the essence of interest social activity, and interest social activity is thinking
The superficial manifestation mode of social one kind.The diversification of personal interest inevitably improves although expanding friend-making range
Social time cost, it would be highly desirable to improve.
Summary of the invention
In view of the defects and deficiencies of the prior art, the present invention intends to provide a kind of structure is simple, design rationally, make
With the social contact method easily based on thinking distance, it is easier to it allows user to find crowd with a common goal, improves social efficiency,
Meanwhile a certain number of crowds for being best suitable for condition are only recommended user by way of controlling recommendation number by this method, are protected
Social quality is demonstrate,proved.
To achieve the above object, the technical solution adopted by the present invention is that: its operating procedure is as follows:
1, in initial operating stage, user introduces dictionary for word segmentation using participle library, by the character string and dictionary for word segmentation of user's input
The word of kind is matched, and participle is extracted, and prepares statistical data for thinking distance algorithm；
2, when the machine learning segmentation methods based on statistics have accumulated enough user data, to the Chinese of user's input
Word is labeled training, based on the word frequency of occurrences, the contextual relation of word, by machine learning algorithm training classifier into
Row participle, supplements dictionary for word segmentation, improves participle accuracy rate, improves field adaptability, to improve the accurate of thinking distance algorithm
Degree；
3, user fills in the content of thought of oneself on different vacancy according to unified call format, is formed tangible
, unity of form, electronic data content logically, calculate the thinking distance between user using thinking distance algorithm, pass through
Recommendation mechanisms, reach accurately, the social purpose of high quality；The thinking distance algorithm on the basis of searching algorithm,
Location dimension is increased, the electronic data content that user is formed is compared for it, identical participle occurs according to same position
The arrangement of quantity descending, successively shows the thinking distance between user.
Further, the recommendation mechanisms include human-computer interaction interface, proposed algorithm, rule configuration information, log letter
Breath, interpreter module, compiler module, process control module, configuration management module and execution module；
Wherein, the human-computer interaction interface includes content of thought output module, recommendation mechanisms trigger module and IM communication
Control module (including addition/deletion recommended user, build group)；The content of thought output module is defeated for giving content of thought
Format out standardizes content of thought；The recommendation mechanisms trigger module is given function button, and triggering user recommends stream
Journey；The IM communication control module realizes addition/deletion recommended user, builds group function；
The proposed algorithm include data processing module (including recommending data dynamically load, recommending data dynamical save,
The formattings of data, data legitimacy verifies) and quantity control (limiting recommended amount), wherein the data processing mould
Block includes the legitimacy verifies of recommending data dynamically load, recommending data dynamical save, the formatting of data, data；Described
Quantity control is for limiting the number of users recommended；
The rule configuration information includes the rule configuration information in operating process, such as index, threshold value, instruction, this
A little rule configuration informations define the standard of user's recommendation；
The log information is used for the process logs of storage engines operation；
The compiler module is for compiling bytecode；
The interpreter module executes bytecode for explaining；
The configuration management module is for providing configuration information；
The process control module is used to carry out the implementation procedure of process orderly scheduling, calls in execution module
Algorithm unit；For handling the case where sub- process invocation；Process endless loop is prevented, all kinds of process problem (such as valves are detected
It is worth Rule of judgment)；
The execution module is used for when process control module carries out task schedule, according to property (judgement, mistake of task
Filter, logical relation processing, instruction execution etc.) the corresponding subroutine module of selection executes specific task, and implementing result is returned
Back to process control module.
The working principle of the invention: this method supports user by the invisible of oneself, the thinking that content is different, at random,
By standardization, the planning thinking template of science, export into electronic data content tangible, unity of form, logically, this
The formal unification of kind mental representation, makes thinking be provided with the property that can quantify, can compare, and is based on the property, retouches according to content
Participle used is stated, the thinking distance between user is calculated by algorithm, reaches the purpose social based on thinking distance.
After adopting the above structure, the invention has the following beneficial effects: a kind of social activity side based on thinking distance of the present invention
Method, it is easier to it allows user to find crowd with a common goal, improves social efficiency, meanwhile, this method passes through control recommendation number
Mode, a certain number of crowds for being best suitable for condition are only recommended into user, ensure that social quality, the present invention have knot
The advantages that structure is simple, and setting is reasonable, low manufacture cost.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without any creative labor, may be used also for those of ordinary skill in the art
To obtain other drawings based on these drawings.
Fig. 1 is the work flow diagram of embodiment.
Specific embodiment
The present invention will be further described below with reference to the drawings.
Present embodiment the technical solution adopted is that: the technical solution adopted is that: its operating procedure is as follows:
1, in initial operating stage, user introduces dictionary for word segmentation using participle library, by the character string and dictionary for word segmentation of user's input
The word of kind is matched, and participle is extracted, and prepares statistical data for thinking distance algorithm；
2, when the machine learning segmentation methods based on statistics have accumulated enough user data, to the Chinese of user's input
Word is labeled training, based on the word frequency of occurrences, the contextual relation of word, by machine learning algorithm training classifier into
Row participle, supplements dictionary for word segmentation, improves participle accuracy rate, improves field adaptability, to improve the accurate of thinking distance algorithm
Degree；
3, user fills in the content of thought of oneself on different vacancy according to unified call format, is formed tangible
, unity of form, electronic data content logically, calculate the thinking distance between user using thinking distance algorithm, pass through
Recommendation mechanisms, reach accurately, the social purpose of high quality；The thinking distance algorithm on the basis of searching algorithm,
Location dimension is increased, the electronic data content that user is formed is compared for it, identical participle occurs according to same position
The arrangement of quantity descending, successively shows the thinking distance between user.
Further, the recommendation mechanisms include human-computer interaction interface, proposed algorithm, rule configuration information, log letter
Breath, interpreter module, compiler module, process control module, configuration management module and execution module；
Wherein, the human-computer interaction interface includes content of thought output module, recommendation mechanisms trigger module and IM communication
Control module (including addition/deletion recommended user, build group)；The content of thought output module is defeated for giving content of thought
Format out standardizes content of thought；The recommendation mechanisms trigger module is given function button, and triggering user recommends stream
Journey；The IM communication control module realizes addition/deletion recommended user, builds group function；
The proposed algorithm include data processing module (including recommending data dynamically load, recommending data dynamical save,
The formattings of data, data legitimacy verifies) and quantity control (limiting recommended amount), wherein the data processing mould
Block includes the legitimacy verifies of recommending data dynamically load, recommending data dynamical save, the formatting of data, data；Described
Quantity control is for limiting the number of users recommended；
The rule configuration information includes the rule configuration information in operating process, such as index, threshold value, instruction, this
A little rule configuration informations define the standard of user's recommendation；
The log information is used for the process logs of storage engines operation；
Program code first passes around compiler module compiling (compiling becomes bytecode), then with interpreter module explanation side
Formula executes bytecode, is performed corresponding processing logic；Then process control module is provided according to configuration management module
Configuration information manipulation implementation procedure (manipulation include task start and stop, process control, threshold values judgement etc.)；Process control module into
When row task schedule, according to the property of task, (there are many task characters, including but not limited to judges, filters, at logical relation
Reason, instruction execution etc.) the corresponding subroutine module of selection executes specific task, and implementing result is returned to Row control mould
Block.
The working principle of this specific embodiment:: this method supports user that the invisible of oneself, content is different, at random
Thinking, by standardization, science planning thinking template, export at electronic data tangible, unity of form, logically
Content, the formal unification of this mental representation, makes thinking be provided with the property that can quantify, can compare, and is based on the property, according to
Content description participle used, the thinking distance between user is calculated by algorithm, reaches the purpose social based on thinking distance.
After adopting the above structure, present embodiment has the beneficial effect that one kind described in present embodiment is based on
The social contact method of thinking distance, it is easier to it allows user to find crowd with a common goal, improves social efficiency, meanwhile, this method
By way of controlling recommendation number, a certain number of crowds for being best suitable for condition are only recommended into user, ensure that social activity
The advantages that quality, the present invention have structure simple, and setting is reasonable, low manufacture cost.
Embodiment:
It, can be with referring to as shown in Figure 1, user has passed through the case where engine outputs the content of thought of oneself in the present embodiment
By the thinking distance algorithm and recommendation mechanisms of the engine, obtains and believe with the other users having a common goal similar in oneself thinking
Breath.The information of user oneself, can also recommend other users by thinking distance algorithm and recommendation mechanisms, and the present embodiment is only just used
Family obtains recommending data and on the one hand illustrates, and operating process is as follows:
1, node is triggered
User clicks [checking Dao Hequan] function button and triggers thinking distance algorithm, recommendation mechanisms condition；
2, judge node
1. user click [checking Dao Hequan], index 1 be greater than x be it is normal, inlet channel close enclose displaying page, be otherwise exception,
And abnormal prompt is provided, wherein x is the specified threshold for index 1；
2. user clicks [checking Dao Hequan], it is normal, refreshing recommending data that index 2, which is greater than y, and shows newest recommendation number
According to, be otherwise exception, only show legacy data, wherein y be for index 2 specified threshold；
3. user clicks [set up road gregarious], index 3 be greater than z be it is normal, otherwise it is different that 73 people establishment road is gregarious before constituency
Often, owner's establishment road of recommendation is gregarious, and wherein z is the specified threshold for index 3；
3, instruction node
In program operation process, acquire the data of equipment, alarm log or execute it is certain restart, reset operation etc., if
The instruction set is for example:
1. CPU usage is collected, memory usage, the instruction of temperature；
2. collecting device alarm log etc. instructs；
3. execution equipment is restarted or the instruction of reset operation.
The above is only used to illustrate the technical scheme of the present invention and not to limit it, and those of ordinary skill in the art are to this hair
The other modifications or equivalent replacement that bright technical solution is made, as long as it does not depart from the spirit and scope of the technical scheme of the present invention,
It is intended to be within the scope of the claims of the invention.
Claims (3)
1. a kind of social contact method based on thinking distance, it is characterised in that: its operating procedure is as follows:
(1), in initial operating stage, user introduces dictionary for word segmentation using participle library, by the character string and dictionary for word segmentation kind of user's input
Word matched, extract participle, for thinking distance algorithm prepare statistical data；
(2), when the machine learning segmentation methods based on statistics have accumulated enough user data, to the Chinese character of user's input
It is labeled training, based on the word frequency of occurrences, the contextual relation of word, is carried out by machine learning algorithm training classifier
Participle supplements dictionary for word segmentation, improves participle accuracy rate, improves field adaptability, to improve the precision of thinking distance algorithm；
(3), user fills in the content of thought of oneself on different vacancy according to unified call format, formed it is tangible,
Unity of form, electronic data content logically calculate the thinking distance between user using thinking distance algorithm, pass through recommendation
Mechanism, reach accurately, the social purpose of high quality；The thinking distance algorithm increases on the basis of searching algorithm
Location dimension, the electronic data content that user is formed is compared for it, occurs the quantity of identical participle according to same position
Descending arrangement, successively shows the thinking distance between user.
2. a kind of social contact method based on thinking distance according to claim 1, it is characterised in that: the recommendation mechanisms
Include human-computer interaction interface, proposed algorithm, rule configuration information, log information, interpreter module, compiler module, process control
Molding block, configuration management module and execution module；Wherein, the human-computer interaction interface includes content of thought output module, pushes away
Recommend mechanism trigger module and IM communication control module；The content of thought output module is for giving content of thought output lattice
Formula standardizes content of thought；The recommendation mechanisms trigger module is given function button, triggers user's recommended flowsheet；Institute
The IM communication control module stated realizes addition/deletion recommended user, builds group function；The proposed algorithm includes data processing mould
Block (including recommending data dynamically load, recommending data dynamical save, the formatting of data, data legitimacy verifies) and quantity
Control, wherein the data processing module includes the format of recommending data dynamically load, recommending data dynamical save, data
Change, the legitimacy verifies of data；The quantity control is for limiting the number of users recommended；The rule configuration information packet
The rule configuration information in operating process, such as index, threshold value, instruction are included, these rule configuration informations define user's recommendation
Standard；The log information is used for the process logs of storage engines operation；The compiler module is for compiling byte
Code；The interpreter module executes bytecode for explaining；The configuration management module is for providing configuration information；It is described
Process control module be used to carry out orderly scheduling to the implementation procedure of process, call the algorithm unit in execution module；With
It handles in sub- process invocation the case where；Process endless loop is prevented, all kinds of process problems are detected；The execution module is used
In when process control module carries out task schedule, corresponding subroutine module is selected to execute specific appoint according to the property of task
Business, and implementing result is returned to process control module.
3. a kind of social contact method based on thinking distance, it is characterised in that: its working principle: this method support user by oneself
Invisible, content is different, at random thinking exported by standardization, the planning thinking template of science into tangible, shape
Formula is unified, electronic data content logically, the formal unification of this mental representation, make thinking be provided with can quantify, can
The property of comparison is based on the property, and according to content description participle used, the thinking distance between user is calculated by algorithm,
Reach the purpose social based on thinking distance.
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| CN106204295A (en) * | 2016-07-08 | 2016-12-07 | 乐视控股（北京）有限公司 | Social contact method based on natural language and device |
| CN106779092A (en) * | 2016-12-16 | 2017-05-31 | 广州衡昊数据科技有限公司 | A kind of intelligent decision engine for possessing industry specialists thoughtcast and operational capacity |
| CN107111651A (en) * | 2016-07-29 | 2017-08-29 | 深圳越界创新科技有限公司 | A kind of matching degree computational methods, device and user equipment |
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2018
- 2018-07-13 CN CN201810768801.0A patent/CN108984528A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140136992A1 (en) * | 2012-11-13 | 2014-05-15 | Quantum Capital Fund, Llc | Social Media Recommendation Engine |
| CN105931123A (en) * | 2016-05-09 | 2016-09-07 | 深圳市永兴元科技有限公司 | Method and apparatus for recommending friends based on network account |
| CN106204295A (en) * | 2016-07-08 | 2016-12-07 | 乐视控股（北京）有限公司 | Social contact method based on natural language and device |
| CN107111651A (en) * | 2016-07-29 | 2017-08-29 | 深圳越界创新科技有限公司 | A kind of matching degree computational methods, device and user equipment |
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Application publication date: 20181211 |
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