CN108021579A - information output method and device - Google Patents
information output method and device Download PDFInfo
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- CN108021579A CN108021579A CN201610960206.8A CN201610960206A CN108021579A CN 108021579 A CN108021579 A CN 108021579A CN 201610960206 A CN201610960206 A CN 201610960206A CN 108021579 A CN108021579 A CN 108021579A
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
This application discloses information output method and device.One embodiment of this method includes：The typonym of at least one type of items and the benchmark Item Information of current benchmark article under each type of items are obtained, passes through typonym and builds type of items set；The confidence level between at least one specified article type of items corresponding with typonym in type of items set is calculated, confidence level is used to characterize probability of the specified article as the benchmark article of type of items；The correlation between the corresponding type of items of typonym at least one specified article and type of items set is calculated, correlation is used to characterize the degree of correlation between specified article and type of items；Determined by confidence level and correlation and export the benchmark Item Information for the benchmark article for belonging to type of items.The embodiment can accurately determine the benchmark Item Information under type of items by calculating the confidence level and correlation specified between article and type of items.
Description
Technical field
This application involves technical field of information processing, and in particular to information sorting technique field, more particularly to information output
Method and device.
Background technology
With the development of production, various types of articles occur commercially, and each type of article is also subdivided into a variety of
Specific article (article herein can be the article of entity, such as air-conditioning or virtual article, such as stock).For example,
Air-conditioning can be divided into wall-hanging air conditioner and vertical air conditioner, wall-hanging air conditioner and vertical air conditioner can each include again multiple power,
The air-conditioning of color, volume size and structure.The air-conditioning that user oneself can like according to the hobby selection of oneself, adds user
Selection, meet the personal needs of user.Article is also divided into different types by each market, so that user is selected
Select.
Classification is carried out to article still have several drawbacks however, existing.Type of items is typically by several representative
Article (benchmark article) come what is determined.Determined however, currently the benchmark article of definite type of items is usually manual, and
Benchmark article is critically important to the Type division of article.Therefore, the selection of current base article is not objective enough, accurate.
The content of the invention
This application provides information output method and device, to solve the technical problem mentioned in background technology.
In a first aspect, this application provides a kind of information output method, this method includes：Obtain at least one type of items
Typonym and each type of items under current benchmark article benchmark Item Information, pass through the above-mentioned type title construction
Category type set, benchmark article information include the quantity of benchmark article and the title of benchmark article；Calculate at least one specified thing
Confidence level between product type of items corresponding with typonym in above-mentioned type of items set, wherein, confidence level is used to characterize
Specify probability of the article as the benchmark article of type of items；Calculate at least one specified article and above-mentioned type of items set
Correlation between the corresponding type of items of typonym, wherein, correlation is used to characterize between specified article and type of items
Degree of correlation；Determined by above-mentioned confidence level and correlation and export the benchmark article letter for the benchmark article for belonging to type of items
Breath.
In certain embodiments, at least one specified article of above-mentioned calculating and typonym pair in above-mentioned type of items set
Confidence level between the type of items answered includes：Number of the article as the benchmark article of type of items is each specified in inquiry；Root
The quantity of the benchmark article currently included according to above-mentioned number, the quantity of type of items and type of items determines type of items with specifying
Confidence level between article.
In certain embodiments, typonym pair at least one specified article of above-mentioned calculating and above-mentioned type of items set
Correlation between the type of items answered includes：Pass through the current benchmark article construction category type vector of type of items；Pass through
Article structure is specified to specify article vector；The article message middle finger earnest that will be the theme in setting time with the title of type of items
The number that the title of product occurs is as specified article occurrence number；It will be the theme in above-mentioned setting time with the title of specified article
Article message in type of items title occur number as type of items occurrence number；By above-mentioned type of items to
Amount, specify article vector, specify article occurrence number and type of items occurrence number to calculate the phase for specifying article and type of items
Guan Xing.
In certain embodiments, the benchmark for belonging to type of items is determined and exported above by above-mentioned confidence level and correlation
The benchmark article information of article includes：Obtaining above-mentioned specified article according to above-mentioned confidence level and correlation calculations becomes above-mentioned article
The probability of the benchmark article of type；The corresponding specified article of the above-mentioned probability of setting is chosen as above-mentioned by order from big to small
The benchmark article of type of items, and export the benchmark Item Information of said reference article.
In certain embodiments, further included above by the above-mentioned type title structure type of items set：To type of items
The step of being polymerize, above-mentioned the step of polymerizeing to type of items, include：Type of items is built by the above-mentioned type title
Set；Perform following polymerization procedure：Two type of items for meeting following polymerizing condition in above-mentioned type of items set are carried out
Cluster：The sum of type similarity, semantic similarity and text similarity between two type of items are more than given threshold；Will be poly-
The type of items not polymerize in the type of items and above-mentioned type of items set that are formed after conjunction forms new article type set；
Judge with the presence or absence of two type of items for meeting above-mentioned polymerizing condition in above-mentioned new article type set, if it does not exist, then
Above-mentioned new article set of types cooperation is exported for type of items set；If it is present it is by above-mentioned new article set of types cooperation
Type of items set continues to execute above-mentioned polymerization procedure.
Second aspect, this application provides a kind of information output apparatus, which includes：Information acquisition unit, for obtaining
The typonym of at least one type of items and the benchmark Item Information of current benchmark article under each type of items are taken, is passed through
The above-mentioned type title builds type of items set, and benchmark article information includes the quantity of benchmark article and the title of benchmark article；
Confidence computation unit, for calculating at least one specified article article corresponding with typonym in above-mentioned type of items set
Confidence level between type, wherein, confidence level is used to characterize probability of the specified article as the benchmark article of type of items；It is related
Property computing unit, for calculating the corresponding type of items of typonym at least one specified article and above-mentioned type of items set
Between correlation, wherein, correlation is used to characterize degree of correlation between specified article and type of items；Benchmark article determines
Unit, the benchmark article for the benchmark article for belonging to type of items to be determined and exported by above-mentioned confidence level and correlation are believed
Breath.
In certain embodiments, above-mentioned confidence computation unit includes：Number inquires about subelement, for inquiring about each specify
Number of the article as the benchmark article of type of items；Confidence calculations subelement, for according to above-mentioned number, type of items
The quantity for the benchmark article that quantity and type of items currently include determines the confidence level between type of items and specified article.
In certain embodiments, above-mentioned correlation calculations unit includes：Item Title type vector structure subelement, is used for
Pass through the current benchmark article construction category type vector of type of items；Article vector structure subelement is specified, is referred to for passing through
Earnest product structure specifies article vector；Specify article occurrence number determination subelement, for by setting time with type of items
The number that occurs of the title of article message middle finger earnest product that is the theme of title as specifying article occurrence number；Item Title
Type occurrence number determination subelement, for by above-mentioned setting time to specify in the article message that is the theme of title of article
The number that the title of type of items occurs is as type of items occurrence number；Correlation calculations subelement, for passing through above-mentioned thing
Category type vector, specify article vector, specify article occurrence number and type of items occurrence number to calculate and specify article and article
The correlation of type.
In certain embodiments, said reference article determination unit includes：Probability calculation subelement, for being put according to above-mentioned
Reliability and correlation calculations obtain probability of the above-mentioned specified article as the benchmark article of above-mentioned type of items；Benchmark article determines
Subelement, for choosing the corresponding specified article of the above-mentioned probability of setting as above-mentioned type of items by order from big to small
Benchmark article, and export the benchmark Item Information of said reference article.
In certain embodiments, above- mentioned information acquiring unit further includes：Type of items polymerize subelement, for article type
It is polymerize, above-mentioned type of items polymerization subelement includes：Type of items set builds module, for passing through the above-mentioned type title
Build type of items set；Aggregation module, for performing following polymerization procedure：It will meet in above-mentioned type of items set following poly-
Two type of items of conjunction condition are clustered：Type similarity, semantic similarity and text phase between two type of items
It is more than given threshold like the sum of degree；The thing not polymerize in the type of items formed after polymerization and above-mentioned type of items set
Category type forms new article type set；Judge to whether there is in above-mentioned new article type set and meet the two of above-mentioned polymerizing condition
A type of items, if it does not exist, then above-mentioned new article set of types cooperation is exported for type of items set；Repeat mould
Block, for being then article by above-mentioned new article set of types cooperation when there is two type of items for meeting above-mentioned polymerizing condition
Type set continues to execute above-mentioned polymerization procedure.
The information output method that the application provides, confidence level between article and type of items and related is specified by calculating
Property, it can accurately determine the benchmark Item Information under type of items.
Brief description of the drawings
By reading the detailed description made to non-limiting example made with reference to the following drawings, the application's is other
Feature, objects and advantages will become more apparent upon：
Fig. 1 is that this application can be applied to exemplary system architecture figure therein；
Fig. 2 a are the flow charts according to one embodiment of the information output method of the application；
Fig. 2 b be Fig. 2 a information output method in type similarity between two type of items calculating process stream
Cheng Tu；
Fig. 2 c be Fig. 2 a information output method in semantic similarity between two type of items calculating process stream
Cheng Tu；
Fig. 3 is a schematic diagram according to the application scenarios of the information output method of the application；
Fig. 4 is the structure diagram according to one embodiment of the information output apparatus of the application；
Fig. 5 is the structure diagram according to one embodiment of the server of the application.
Embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to
It illustrate only easy to describe, in attached drawing and invent relevant part with related.
It should be noted that in the case where there is no conflict, the feature in embodiment and embodiment in the application can phase
Mutually combination.Describe the application in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 shows the exemplary system of the embodiment of the information output method that can apply the application or information output apparatus
System framework 100.
As shown in Figure 1, system architecture 100 can include terminal device 101,102,103, network 104 and server 105.
Network 104 between terminal device 101,102,103 and server 105 provide communication link medium.Network 104 can be with
Including various connection types, such as wired, wireless communication link or fiber optic cables etc..
Terminal device 101,102,103 is interacted by network 104 with server 105, to receive or send information etc..Terminal
Various information processing applications, such as web search application, shopping class application etc. can be installed in equipment 101,102,103.
Terminal device 101,102,103 can be the various equipment for having data handling utility, including but not limited to desk-top
Computer, data server etc..
Server 105 can be to determine the service of benchmark Item Information under the information that terminal device 101,102,103 is sent
Device, such as the confidence level and correlation of information that computing terminal equipment 101,102,103 is sent, and then determine benchmark article letter
Breath.Server 105 can obtain type of items set by the Item Title set of reception, then calculate and specify article and article
Confidence level and correlation between type, finally determine the benchmark Item Information under type of items.
It should be noted that the information output method that the embodiment of the present application is provided generally is performed by server 105, accordingly
Ground, information output apparatus are generally positioned in server 105.
It should be understood that the number of the terminal device, network and server in Fig. 1 is only schematical.According to realizing need
Will, can have any number of terminal device, network and server.
Fig. 2 a, it illustrates a kind of flow chart 200 of one embodiment of information output method, the information output method bag
Include：
Step 201, obtain at least one type of items typonym and each type of items under current benchmark article
Benchmark Item Information, pass through the above-mentioned type title build type of items set.
In the present embodiment, electronic equipment (such as server 105 shown in Fig. 1) can pass through wired or wireless mode
The information that receiving terminal apparatus 101,102,103 is sent, and determine the benchmark Item Information of information.
Server 105 first has to collection terminal equipment 101,102,103 and sends Item Title, obtains Item Title set,
Herein, the Item Title in Item Title set can be：Clarifier, filter, descaler, dehumidifier, air-conditioning, fan, dissipate
Hot device, heater etc..Wherein, clarifier is commonly used in purifying liquid or air；Filter is commonly used in removal liquid
In other impurities；Descaler is commonly used in removing the dirt of solid-state or liquid；Dehumidifier is commonly used in removal air or object
In steam；Air-conditioning is commonly used in heating up to air or the operation that cools down, and has certain dehumidification function；Fan is usually used
In accelerating air flow, can be divided into for the fan of heating and for cooling fan；Radiator is commonly used in reduction object
Temperature；Heater is commonly used in heating object.Above-mentioned is the functional descriptions to each article, can also from material,
Size, color, power are angularly described.Different descriptions can be divided into different type of items.Therefore, above-mentioned article
Name set includes the Item Title of the article under at least two type of items.
Same article can be described from multiple angles, and article can be divided into different types by different angles.For example,
Above-mentioned clarifier can be divided into hygienic type；Filter can be divided into screening type；Descaler can be divided into decontamination
Type；Dehumidifier can be divided into clearing damp type；Air-conditioning can be divided into temperature control type；Fan can be divided into cooling type；
Radiator can be divided into heat dissipation type；Heater can be divided into heating type.At this time, the correspondence Item Title set obtained
Type of items set just include：Hygienic type, screening type, decontamination type, clearing damp type, temperature control type, cooling type, dissipate
Hot type and heating type.Other types can also be divided into from material etc. by above-mentioned article, no longer repeated one by one herein.
And then type of items set is built by typonym.
Every kind of type of items has respective benchmark article, it is determined that after type of items, it is possible to it is current to obtain type of items
Benchmark Item Information.Wherein, said reference Item Information includes the quantity of benchmark article and the title of each benchmark article, on
State benchmark article to be used to determine the type belonging to article, in the different time, benchmark article can be different.
In some optional implementations of the present embodiment, type of items set is built above by the above-mentioned type title
It can also include：The step of polymerizeing to type of items, above-mentioned the step of polymerizeing to type of items, comprise the following steps：
The first step, type of items set is built by the above-mentioned type title.
After the corresponding type of items of each Item Title is determined, the name combination of these type of items is got up construct
Category type set.
Second step, performs following polymerization procedure：Two things of following polymerizing condition will be met in above-mentioned type of items set
Category type is clustered：The sum of type similarity, semantic similarity and text similarity between two type of items, which are more than, to be set
Determine threshold value；The type of items not polymerize in the type of items formed after polymerization and above-mentioned type of items set is formed into new thing
Category type set；Judge to whether there is two type of items for meeting above-mentioned polymerizing condition in above-mentioned new article type set, such as
Fruit is not present, then exports above-mentioned new article set of types cooperation for type of items set；
In order to accurately divide type of items, type similarity, semantic similarity and the text between type of items can be passed through
This similarity is come to carrying out accurate judgement to type belonging to article.Wherein, the vector that type similarity passes through Item Title type
It is calculated, semantic similarity is calculated by the quantity that Item Title type occurs in article message, text similarity
It is calculated by the same text in the title of Item Title type and different literals.If the class between two type of items
The sum of type similarity, semantic similarity and text similarity are more than given threshold, it may be considered that both type of items can be with
A type is divided into, otherwise, then it is assumed that both type of items cannot be divided into a type.When one can be polymerized to
During type, typonym after polymerization can with when polymerize before typonym in one or other typonym.
Type of items after polymerization is reentered into composition new article type set in type of items set, if new article type at this time
There is no two type of items that can polymerize, then explanation polymerization in set to complete, and can be thing by the cooperation of new article set of types
Category type set exports.
In some optional implementations of the present embodiment, the calculating of the type similarity between two type of items
The flow chart of journey as shown in Figure 2 b, comprises the following steps：
Step 20111, corresponding benchmark article vector is set for each benchmark article that type of items includes, by above-mentioned
Benchmark article vector builds the type of items vector of the type of items.
Wherein, said reference article is used to determine the type belonging to article.For example, the benchmark article of hygienic type can be
Perfumed soap, toothbrush, shampoo and detergent etc..Benchmark article vector is set according to the attribute of each benchmark article respectively.It is for example, fragrant
The attribute of soap can include sterilization, decontamination, deoil, water solubility etc., and the benchmark article vector of correspondence perfumed soap just includes：Sterilize, go
Dirt, deoil, be water-soluble.In this way, by perfumed soap benchmark article is vectorial, toothbrush benchmark article is vectorial, shampoo benchmark article vector sum
Detergent benchmark article Vector Groups just constitute the type of items vector of hygienic type altogether.It should be noted that each base
The quantity for the attribute that quasi- article vector includes should be identical.A vector is assigned for each attribute, then benchmark article vector is exactly
The vector sum of each attribute.
Step 20112, the cosine similarity between two above-mentioned type of items vectors is calculated.
Above-mentioned cosine similarity is used for the phase that two above-mentioned type of items vectors are judged by vectorial angle cosine value
Like degree.The quantity for the attribute that above-mentioned benchmark article vector includes should be identical, the benchmark article that type of items vector includes
Vector can be the same or different.Rise difference lies in, benchmark article vector is more, then the variation tendency of type of items vector by
The influence arrived is more, more impacted to the angle between two type of items vectors.
Step 20113, type similarity is determined according to above-mentioned cosine similarity.
Cosine similarity between two type of items vectors is bigger, then the similarity of two type of items is bigger.This
Place, can be that cosine similarity sets a threshold value, when cosine similarity is more than the threshold value, type similarity takes 1, represents two
A type of items is similar, and otherwise, type similarity takes 0, represents two type of items dissmilarities.Cosine phase can also directly be exported
Like degree value as type similarity.
In some optional implementations of the present embodiment, following polymerizing condition will be met in above-mentioned type of items set
Two type of items carry out cluster and can also include：Determine the inclusion relation of two above-mentioned type of items, above-mentioned inclusion relation
For characterizing whether the benchmark article under a type of items is completely contained in another type of items, and, according to above-mentioned
Cosine similarity and above-mentioned inclusion relation determine type similarity.
Another thing whether is completely contained in when there are the benchmark article under a type of items between two type of items
When in category type, it is believed that the two type of items are necessarily similar, and at this time, the value of inclusion relation is 1, is otherwise 0.
In some optional implementations of the present embodiment, the calculating of the semantic similarity between two type of items
The flow chart of journey as shown in Figure 2 c, may comprise steps of：
Step 20121, at least one article message in set period of time is obtained.
Article message herein refers to the information such as newspaper relevant with article, article message, for reflecting the newest of article
Situation.Article can be divided into different types according to different standards, when there are several type of items at the same time in article message,
It can illustrate that these type of items have correlation to a certain extent.
Step 20122, the article for determining in above-mentioned article message to occur while be the theme with above-mentioned two type of items disappears
Is there is quantity at the same time in the quantity of breath.
Article message in a period of time is usually very much, finds out while occurs with above-mentioned two thing from these article message
The article message that category type is the theme, it may be determined that while there is quantity.
Step 20123, the article message for determining each to be the theme with above-mentioned two type of items in above-mentioned article message
Quantity, which obtains first and quantity and second occurs, there is quantity.
The article message being only the theme with one of above-mentioned two type of items is found out from article message, determines the first appearance
There is quantity in quantity and second.
Step 20124, will be above-mentioned while quantity occur and occur quantity and second with above-mentioned first and the product of quantity occur
Ratio is as semantic similarity.
In some optional implementations of the present embodiment, following polymerizing condition will be met in above-mentioned type of items set
Two type of items carry out cluster and may comprise steps of：
The first step, determines the identical quantity of word and word varying number of the typonym of above-mentioned two type of items.
For example, the typonym of first type of items is cleanser, the typonym of second type of items is decontamination
Agent, has " decontamination " in two typonyms, 4 different words, i.e. " going ", " dirt ", " powder " is shared in two typonyms
" agent ".Then the identical quantity of word is 2, and word varying number is 4.
Second step, using the ratio of the identical quantity of above-mentioned word and word varying number as text similarity.
In some optional implementations of the present embodiment, following polymerizing condition will be met in above-mentioned type of items set
Two type of items carry out cluster and include：Respectively the above-mentioned type similarity, semantic similarity and text similarity set power
Value, when the sum of products of the above-mentioned type similarity, semantic similarity and text similarity and respective weights is more than given threshold,
Above-mentioned two type of items is polymerized to a type of items.
Can be respectively that type similarity, semantic similarity and text similarity are set not according to the difference of type of items
Same weights, weights are multiplied with each similarity value, are then added again, if value at this time is more than given threshold, then it is assumed that two
A type of items can cluster, and otherwise two type of items cannot cluster.
3rd step, if it is present above-mentioned new article set of types cooperation is continued to execute above-mentioned gather for type of items set
Close step.
If two type of items that presence can polymerize in new article type set, are by new article set of types cooperation
Type of items set repeats above-mentioned polymerization process, untill there is no can polymerize two type of items.
Step 202, at least one specified article article class corresponding with typonym in above-mentioned type of items set is calculated
Confidence level between type.
Specified article herein can be the benchmark article under type of items or other non-referenced articles.To
Determine whether specified article can become the benchmark article under type of items, it is necessary to calculate between specified article and type of items
Confidence level.Above-mentioned confidence level is used to characterize probability of the above-mentioned specified article as the benchmark article of above-mentioned type of items.
In some optional implementations of the present embodiment, the above-mentioned at least one specified article of calculating and above-mentioned article class
Confidence level in type set between the corresponding type of items of typonym may comprise steps of：
The first step, inquires about each specified number of the article as the benchmark article of type of items.
If specified before article by the benchmark article as type of items, record and specify article as benchmark article
Number.
Second step, the quantity of the benchmark article currently included according to above-mentioned number, the quantity of type of items and type of items
Determine the confidence level between type of items and specified article.
Using specified article as the number of benchmark article, the quantity of type of items and the current benchmark article of type of items
Quantity determines to specify confidence level between article and type of items.Confidence level is higher, specifies article to become the base of type of items
The possibility of quasi- article is bigger.
Step 203, the corresponding article class of typonym at least one specified article and above-mentioned type of items set is calculated
Correlation between type.
Above-mentioned correlation is used to characterize the degree of correlation between above-mentioned specified article and above-mentioned type of items, when passing through setting
The quantity that the quantity and the title of above-mentioned specified article that the title of above-mentioned type of items occurs in interior article message occur is come true
It is fixed.
In some optional implementations of the present embodiment, the above-mentioned at least one specified article of calculating and above-mentioned article class
Correlation in type set between the corresponding type of items of typonym may comprise steps of：
The first step, passes through the current benchmark article construction category type vector of type of items.
Benchmark article is used to determine the type belonging to article.For example, the benchmark article of hygienic type can be perfumed soap, tooth
Brush, shampoo and detergent etc..Benchmark article vector is set according to the attribute of each benchmark article respectively.For example, the category of perfumed soap
Property can include sterilization, decontamination, deoil, water solubility etc., the benchmark article vector of correspondence perfumed soap just includes：Sterilization, decontamination, go
Oil, water solubility.In this way, by perfumed soap benchmark article is vectorial, toothbrush benchmark article is vectorial, shampoo benchmark article vector sum detergent
Benchmark article Vector Groups just constitute the type of items vector of hygienic type altogether.It should be noted that each benchmark article
The quantity for the attribute that vector includes should be identical.A vector is assigned for each attribute, then benchmark article vector is exactly each category
The vector sum of property.
Second step, by specifying article structure to specify article vector.
It is similar with structure benchmark article vector, can also be by specifying the attribute structure of article to specify article vector.
3rd step, the name for the article message middle finger earnest product being the theme in setting time with the title of type of items is weighed up
Existing number is as specified article occurrence number.
Article message herein refers to the information such as newspaper relevant with article, article message, for reflecting the newest of article
Situation.Article can be divided into different types according to different standards, when there are several type of items at the same time in article message,
It can illustrate that these type of items have correlation to a certain extent.Determine to be the theme with type of items from these article message
Article message middle finger earnest product title occur number.
4th step, by above-mentioned setting time to specify the name of type of items in the article message that is the theme of title of article
Existing number is weighed up as type of items occurrence number.
Similar, the title of above-mentioned type of items occurs in the article message for determining to be the theme with the title of specified article
Number.
5th step, by above-mentioned type of items vector, specifies article vector, specified article occurrence number and type of items to go out
Occurrence number calculates the correlation for specifying article and type of items.
These vector sum parameters are brought into relevance formula to obtain specifying article and the relevance values of type of items.
Step 204, determined by above-mentioned confidence level and correlation and export the benchmark for the benchmark article for belonging to type of items
Item Information.
It should be noted that confidence level and correlation herein is obtained based on same type of items, i.e. passes through finger
Correlation that the confidence level and specified article that earnest product are obtained with A type of items are obtained with A type of items determines benchmark article
Information.
In some optional implementations of the present embodiment, determine and export above by above-mentioned confidence level and correlation
The benchmark Item Information for belonging to the benchmark article of above-mentioned type of items may comprise steps of：
The first step, obtaining above-mentioned specified article according to above-mentioned confidence level and correlation calculations becomes the base of above-mentioned type of items
The probability of quasi- article.
The probability for the benchmark article for determining to specify article to become type of items by the product of confidence level and correlation.
Second step, the corresponding specified article of the above-mentioned probability of setting is chosen as above-mentioned article class by order from big to small
The benchmark article of type, and export the benchmark Item Information of said reference article.
Representative article during benchmark article under type of items, the several values for generally selecting maximum probability are corresponding
Benchmark article of the article as type of items is specified, and then is capable of the benchmark Item Information of output reference article.
With continued reference to Fig. 3, Fig. 3 is a schematic diagram according to the application scenarios of the information output method of the present embodiment.
In the scene of Fig. 3, the Item Title set got includes：Clarifier, filter, descaler, dehumidifier, air-conditioning, fan, dissipate
Hot device and heater.Classification on existing market to each Item Title corresponds to：Hygienic type, screening type, decontamination type,
Clearing damp type, temperature control type, cooling type, heat dissipation type and heating type, obtain type of items set.Pass through comparative category
Type similarity, semantic similarity and the text similarity of two type of items in type set, whether can two type of items
Enough polymerization is judged, specifically：
(1) type similarity
, it is necessary to first pass through the benchmark item configuration benchmark article vector of type of items, then structure when calculating type similarity
Build the type of items vector of the type of items：
Vec (type)={ T1, T2... Ti…Tn}
Wherein, type is type of items；Vec (type) is type of items vector；TiOn the basis of article vector；On the basis of i
The quantity of article, i are natural number；I=1,2 ... n.
The calculation formula of type similarity is：
rel(typej,typek)=α1×cos(vec(typej),vec(typek))+α2×include(vec
(typej),vec(typek))
Wherein, typejFor j-th of type of items；typekFor k-th of type of items；rel(typej,typek) it is typej
And typekType similarity；vec(typej) vectorial for the type of items of j-th of type of items；vec(typek) it is k-th
The type of items vector of type of items；cos(vec(typej),vec(typek)) it is vec (typej) and vec (typek) it is remaining
String similarity；include(vec(typej),vec(typek)) it is vec (typej) and vec (typek) inclusion relation value,
typejAnd typekBenchmark article there are during inclusion relation, include (vec (typej),vec(typek))=1, otherwise,
include(vec(typej),vec(typek))=0；α1And α2Respectively the first weights and the second weights, α1+α2=1.
(2) semantic similarity
Calculate semantic similarity when, it is necessary in a period of time of acquisition (for example, in one month) article message, then, point
Is there is quantity at the same time in the quantity for the article message that Que Ding be the theme at the same time with two type of items, and respectively with two
The quantity for the article message that type of items is each the theme, which obtains first and quantity and second occurs, there is quantity, will occur number at the same time
There is quantity and second with above-mentioned first and the ratio of the product of quantity occurs as semantic similarity in amount.
(3) text similarity
The identical quantity of word and word varying number of the typonym of two type of items are determined, by the identical quantity of word
Ratio with word varying number is as text similarity.
According to the analysis of the above-mentioned type similarity, semantic similarity and text similarity, by hygienic type, screening type and
Decontamination types of polymerization is purification type；Clearing damp type cannot be clustered with other types；Temperature control type and cooling types of polymerization are temperature
Control type；Heat dissipation type and heating type are polymerized to heat-conducting type, so far, complete the cluster to type of items.
Then the confidence level and correlation specified between article and type of items are calculated, specified article includes：Clarifier, perfume (or spice)
Soap, washing powder, dish detergent, camphor ball, humidifier, dehumidifier, dryer, heater, thermos flask, electric heating fan, electric blanket, refrigeration
Device, refrigerator, refrigerator-freezer, heating tube, heater, radiator, heat conduction bar, essential wind oil etc..By specifying putting for article and type of items
The benchmark article that reliability and correlation calculations are obtained under each type of items is：Benchmark article under purification type includes：Purification
Device, perfumed soap, dish detergent；Benchmark article under clearing damp type includes：Dehumidifier and dryer；Benchmark article bag under temperature control type
Include heater and refrigerator；Benchmark article under heat-conducting type includes radiator and heater, that is, the base of benchmark article is determined
Quasi- Item Information.The specified article of others can't be benchmark article.
The information output method that the application provides, confidence level between article and type of items and related is specified by calculating
Property, it can accurately determine the benchmark Item Information under type of items.
With further reference to Fig. 4, as the realization to method shown in above-mentioned each figure, this application provides a kind of output of information to fill
The one embodiment put, the device embodiment is corresponding with the embodiment of the method shown in Fig. 2, which specifically can be applied to respectively
In kind electronic equipment.
As shown in figure 4, the above-mentioned information determining means 400 of the present embodiment can include：Information acquisition unit 401, confidence
Spend computing unit 402, correlation calculations unit 403 and benchmark article determination unit 404.Wherein, information acquisition unit 401 is used for
The typonym of at least one type of items and the benchmark Item Information of current benchmark article under each type of items are obtained, is led to
The above-mentioned type title structure type of items set is crossed, benchmark article information includes the quantity of benchmark article and the name of benchmark article
Claim；Confidence computation unit 402 is corresponding with typonym in above-mentioned type of items set for calculating at least one specified article
Type of items between confidence level, wherein, confidence level be used for characterize specified article as the general of the benchmark article of type of items
Rate；Correlation calculations unit 403 is used to calculate typonym at least one specified article and above-mentioned type of items set and corresponds to
Type of items between correlation, wherein, correlation is used to characterize degree of correlation between specified article and type of items；Base
Quasi- article determination unit 404 is used for the benchmark article for determining and exporting to belong to type of items by above-mentioned confidence level and correlation
Benchmark Item Information.
In some optional implementations of the present embodiment, above-mentioned confidence computation unit 402 includes：Number inquiry
Unit (not shown) and confidence calculations subelement (not shown).Wherein, number inquiry subelement is used to inquire about every
Number of a specified article as the benchmark article of type of items；Confidence calculations subelement is used for according to above-mentioned number, article
The quantity for the benchmark article that the quantity and type of items of type currently include determines the confidence between type of items and specified article
Degree.
In some optional implementations of the present embodiment, above-mentioned correlation calculations unit 303 includes：Item Title class
Type vector structure subelement (not shown), specify article vector structure subelement (not shown), specify article to occur
Number determination subelement (not shown), Item Title type occurrence number determination subelement (not shown) and correlation
Computing unit computation subunit (not shown).Wherein, Item Title type vector structure subelement is used to pass through article class
The current benchmark article construction category type vector of type；Article vector structure subelement is specified to be used for by specifying article structure to refer to
Earnest product vector；Article occurrence number determination subelement is specified to be used to be the theme with the title of type of items in setting time
The number that the title of article message middle finger earnest product occurs is as specified article occurrence number；Item Title type occurrence number is true
Stator unit be used for by above-mentioned setting time to specify the title of type of items in the article message that is the theme of title of article
The number of appearance is as type of items occurrence number；Correlation calculations subelement is used for vectorial, specified by above-mentioned type of items
Article vector, specify article occurrence number and type of items occurrence number to calculate the correlation for specifying article and type of items.
In some optional implementations of the present embodiment, said reference article determination unit 304 includes：Probability calculation
Subelement (not shown) and benchmark article determination subelement (not shown).Wherein, probability calculation subelement is used for root
Probability of the above-mentioned specified article as the benchmark article of above-mentioned type of items is obtained according to above-mentioned confidence level and correlation calculations；Benchmark
Article determination subelement is used to choose the corresponding specified article of the above-mentioned probability of setting as above-mentioned thing by order from big to small
The benchmark article of category type, and export the benchmark Item Information of said reference article.
In some optional implementations of the present embodiment, above- mentioned information acquiring unit 301 further includes：Type of items is gathered
Zygote unit (not shown), for polymerizeing to article type, above-mentioned type of items polymerization subelement includes：Type of items
Set builds module (not shown), aggregation module (not shown) and repeats module (not shown).Wherein,
Type of items set structure module is used to build type of items set by the above-mentioned type title；Aggregation module is used to perform as follows
Polymerization procedure：Two type of items for meeting following polymerizing condition in above-mentioned type of items set are clustered：Two articles
The sum of type similarity, semantic similarity and text similarity between type are more than given threshold；The thing that will be formed after polymerization
The type of items not polymerize in category type and above-mentioned type of items set forms new article type set；Judge above-mentioned new thing
With the presence or absence of meeting two type of items of above-mentioned polymerizing condition in category type set, if it does not exist, then by above-mentioned new article
Set of types cooperation exports for type of items set；Module is repeated to be used in the presence of two articles for meeting above-mentioned polymerizing condition
During type, then above-mentioned new article set of types cooperation is continued to execute into above-mentioned polymerization procedure for type of items set.
Below with reference to Fig. 5, it illustrates suitable for for realizing the computer system 500 of the server of the embodiment of the present application
Structure diagram.
As shown in figure 5, computer system 500 includes central processing unit (CPU) 501, it can be read-only according to being stored in
Program in memory (ROM) 502 or be loaded into program in random access storage device (RAM) 503 from storage part 508 and
Perform various appropriate actions and processing.In RAM503, also it is stored with system 500 and operates required various programs and data.
CPU501, ROM502 and RAM503 are connected with each other by bus 504.Input/output (I/O) interface 505 is also connected to bus
504。
I/O interfaces 505 are connected to lower component：Importation 506 including keyboard, mouse etc.；Including such as liquid crystal
Show the output par, c 507 of device (LCD) etc. and loudspeaker etc.；Storage part 508 including hard disk etc.；And including such as LAN
The communications portion 509 of the network interface card of card, modem etc..Communications portion 509 is performed via the network of such as internet
Communication process.Driver 510 is also according to needing to be connected to I/O interfaces 505.Detachable media 511, such as disk, CD, magneto-optic
Disk, semiconductor memory etc., are installed on driver 510, in order to the computer program root read from it as needed
Part 508 is stored according to needing to be mounted into.
Especially, in accordance with an embodiment of the present disclosure, it may be implemented as computer above with reference to the process of flow chart description
Software program.For example, embodiment of the disclosure includes a kind of computer program product, it includes being tangibly embodied in machine readable
Computer program on medium, above computer program include the program code for being used for the method shown in execution flow chart.At this
In the embodiment of sample, which can be downloaded and installed by communications portion 509 from network, and/or from removable
Medium 511 is unloaded to be mounted.
Flow chart and block diagram in attached drawing, it is illustrated that according to the system of the various embodiments of the application, method and computer journey
Architectural framework in the cards, function and the operation of sequence product.At this point, each square frame in flow chart or block diagram can generation
The part of one module of table, program segment or code, a part for above-mentioned module, program segment or code include one or more
The executable instruction of logic function as defined in being used for realization.It should also be noted that some as replace realization in, institute in square frame
The function of mark can also be with different from the order marked in attached drawing generation.For example, two square frames succeedingly represented are actual
On can perform substantially in parallel, they can also be performed in the opposite order sometimes, this is depending on involved function.Also
It is noted that the combination of each square frame and block diagram in block diagram and/or flow chart and/or the square frame in flow chart, Ke Yiyong
The dedicated hardware based systems of functions or operations as defined in execution is realized, or can be referred to specialized hardware and computer
The combination of order is realized.
Being described in unit involved in the embodiment of the present application can be realized by way of software, can also be by hard
The mode of part is realized.Described unit can also be set within a processor, for example, can be described as：A kind of processor bag
Include information acquisition unit, confidence computation unit, correlation calculations unit and benchmark article determination unit.Wherein, these units
Title do not form restriction to the unit in itself under certain conditions, for example, benchmark article determination unit can also be retouched
State as " being used for the unit for determining benchmark Item Information ".
As on the other hand, present invention also provides a kind of nonvolatile computer storage media, the non-volatile calculating
Machine storage medium can be nonvolatile computer storage media included in above device in above-described embodiment；Can also be
Individualism, without the nonvolatile computer storage media in supplying terminal.Above-mentioned nonvolatile computer storage media is deposited
One or more program is contained, when said one or multiple programs are performed by an equipment so that the said equipment：Obtain
The benchmark Item Information of current benchmark article under the typonym of at least one type of items and each type of items, by upper
Typonym structure type of items set is stated, benchmark article information includes the quantity of benchmark article and the title of benchmark article；Meter
The confidence level between at least one specified article type of items corresponding with typonym in above-mentioned type of items set is calculated, its
In, confidence level is used to characterize probability of the specified article as the benchmark article of type of items；Calculate at least one specified article and
Correlation in above-mentioned type of items set between the corresponding type of items of typonym, wherein, correlation is used to characterize specified
Degree of correlation between article and type of items；The base for belonging to type of items is determined and exported by above-mentioned confidence level and correlation
The benchmark Item Information of quasi- article.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.People in the art
Member should be appreciated that invention scope involved in the application, however it is not limited to the technology that the particular combination of above-mentioned technical characteristic forms
Scheme, while should also cover in the case where not departing from foregoing invention design, carried out by above-mentioned technical characteristic or its equivalent feature
The other technical solutions for being combined and being formed.Such as features described above has similar work(with (but not limited to) disclosed herein
The technical solution that the technical characteristic of energy is replaced mutually and formed.
Claims (10)
- A kind of 1. information output method, it is characterised in that the described method includes：Obtain the typonym of at least one type of items and the benchmark article letter of current benchmark article under each type of items Breath, builds type of items set, benchmark article information includes the quantity and benchmark article of benchmark article by the typonym Title；Calculate the confidence between at least one specified article type of items corresponding with typonym in the type of items set Degree, wherein, confidence level is used to characterize probability of the specified article as the benchmark article of type of items；Calculate the correlation between the corresponding type of items of typonym at least one specified article and the type of items set Property, wherein, correlation is used to characterize the degree of correlation between specified article and type of items；Determined by the confidence level and correlation and export the benchmark Item Information for the benchmark article for belonging to type of items.
- 2. according to the method described in claim 1, it is characterized in that, described calculate at least one specified article and the article class Confidence level in type set between the corresponding type of items of typonym includes：Number of the article as the benchmark article of type of items is each specified in inquiry；The quantity of the benchmark article currently included according to the number, the quantity of type of items and type of items determines type of items With the confidence level between specified article.
- 3. according to the method described in claim 1, it is characterized in that, at least one specified article of the calculating and the article class Correlation in type set between the corresponding type of items of typonym includes：Pass through the current benchmark article construction category type vector of type of items；By specifying article structure to specify article vector；The number that the title for the article message middle finger earnest product being the theme in setting time with the title of type of items is occurred is made To specify article occurrence number；Time that the title of type of items occurs in the article message that will be the theme in the setting time with the title of specified article Number is used as type of items occurrence number；By type of items vector, article vector, specified article occurrence number and type of items occurrence number is specified to calculate Specify the correlation of article and type of items.
- 4. according to the method described in claim 1, it is characterized in that, described determined and exported by the confidence level and correlation Belonging to the benchmark article information of the benchmark article of type of items includes：The specified article is obtained as the general of the benchmark article of the type of items according to the confidence level and correlation calculations Rate；Primary standard substance of the corresponding specified article of the setting probability as the type of items is chosen by order from big to small Product, and export the benchmark Item Information of the benchmark article.
- 5. according to the method described in claim 1, it is characterized in that, described build type of items set by the typonym Further include：The step of polymerizeing to type of items, described the step of polymerizeing to type of items, include：Type of items set is built by the typonym；Perform following polymerization procedure：Two type of items for meeting following polymerizing condition in the type of items set are gathered Class：The sum of type similarity, semantic similarity and text similarity between two type of items are more than given threshold；Will polymerization The type of items not polymerize in the type of items and the type of items set that are formed afterwards forms new article type set；Sentence With the presence or absence of two type of items for meeting the polymerizing condition in the new article type set of breaking, if it does not exist, then will The new article set of types cooperation exports for type of items set；If it is present the new article set of types cooperation is continued to execute into the polymerization procedure for type of items set.
- 6. a kind of information output apparatus, it is characterised in that described device includes：Information acquisition unit, for obtain at least one type of items typonym and each type of items under current benchmark The benchmark Item Information of article, builds type of items set, benchmark article information includes benchmark article by the typonym Quantity and benchmark article title；Confidence computation unit, it is corresponding with typonym in the type of items set for calculating at least one specified article Confidence level between type of items, wherein, confidence level is used to characterize probability of the specified article as the benchmark article of type of items；Correlation calculations unit, it is corresponding for calculating typonym at least one specified article and the type of items set Correlation between type of items, wherein, correlation is used to characterize the degree of correlation between specified article and type of items；Benchmark article determination unit, belongs to the primary standard substance of type of items for determining and exporting by the confidence level and correlation The benchmark Item Information of product.
- 7. device according to claim 6, it is characterised in that the confidence computation unit includes：Number inquires about subelement, for inquiring about number of each specified article as the benchmark article of type of items；Confidence calculations subelement, for the benchmark currently included according to the number, the quantity of type of items and type of items The quantity of article determines the confidence level between type of items and specified article.
- 8. device according to claim 6, it is characterised in that the correlation calculations unit includes：Item Title type vector structure subelement, for by the current benchmark article construction category type of type of items to Amount；Article vector structure subelement is specified, for by specifying article structure to specify article vector；Article occurrence number determination subelement is specified, for the article being the theme in setting time with the title of type of items to be disappeared The number of the title appearance of middle finger earnest product is ceased as specified article occurrence number；Item Title type occurrence number determination subelement, for will be the theme in the setting time with the title of specified article Article message in type of items title occur number as type of items occurrence number；Correlation calculations subelement, for by the type of items vector, specify article vector, specify article occurrence number and Type of items occurrence number calculates the correlation for specifying article and type of items.
- 9. device according to claim 6, it is characterised in that the benchmark article determination unit includes：Probability calculation subelement, becomes the article for obtaining the specified article according to the confidence level and correlation calculations The probability of the benchmark article of type；Benchmark article determination subelement, makees for choosing the corresponding specified article of the setting probability by order from big to small For the benchmark article of the type of items, and export the benchmark Item Information of the benchmark article.
- 10. device according to claim 6, it is characterised in that described information acquiring unit further includes：Type of items polymerize Subelement, for polymerizeing to article type, the type of items polymerization subelement includes：Type of items set builds module, for building type of items set by the typonym；Aggregation module, for performing following polymerization procedure：Two of following polymerizing condition will be met in the type of items set Type of items is clustered：The sum of type similarity, semantic similarity and text similarity between two type of items are more than Given threshold；The type of items not polymerize in the type of items formed after polymerization and the type of items set is formed newly Type of items set；Judge to whether there is two type of items for meeting the polymerizing condition in the new article type set, If it does not exist, then the new article set of types cooperation is exported for type of items set；Repeat module, for exist meet the polymerizing condition two type of items when, then by the new article class Type set continues to execute the polymerization procedure as type of items set.
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