CN110532295A - A kind of method and device of computer-implemented information processing, information inquiry - Google Patents
A kind of method and device of computer-implemented information processing, information inquiry Download PDFInfo
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Abstract
This application discloses a kind of computer-implemented information processings, the method and device of information inquiry, in the method according at least one attribute dimensions, the corresponding attribute value of at least one attribute dimensions is extracted from at least one associated historical information of target object, and at least one data relationship group corresponding with the target object is determined according to the attribute value extracted, specified attribute value is selected from the attribute value extracted, and other attribute values other than the specified attribute value are determined in the attribute value extracted, according to data relationship group belonging to other attribute values and the specified attribute value for extracting, attribute value relevant to specified attribute value is determined in other attribute values, as correlation attribute value, and then store the incidence relation of the specified attribute value and correlation attribute value, so as to according to incidence relation retrieval and the target object Relevant information.By the above method, realizes while recommending the relevant information in different business field to user.
Description
Technical field
This application involves field of computer technology more particularly to a kind of computer-implemented information processing, information to inquire
Method and device.
Background technique
Currently, the keyword that service platform can be inputted according to user, carries out information recommendation to user, to provide a user
To more selections.
In the prior art, the recommendation information in different business field is often divided in respective business and led by service platform
In domain, so, when a kind of keyword for business scope that service platform is inputted based on user carries out information recommendation to user, only
The recommendation information of same business scope can be recommended user.For example, user has input in application (Application, App)
This keyword of tourist attractions A, then service platform can only believe some sight spots about tourist attractions A stored in tour field
Breath recommends user.However in practical applications, user may can also the information to other business scopes more pay close attention to, for example,
After user inputs this keyword of tourist attractions A, other than some sight spot informations of concern tourist attractions A itself, it is also possible to compare
The recommendation information of other business scopes such as restaurant, hotel compared with the concern periphery tourist attractions A.
So how the recommendation information of the business scope belonging to the keyword for inputting user recommends the same of user
When, additionally it is possible to user will be recommended together with the recommendation information of other business scopes relevant with the keyword, then be one urgently
It solves the problems, such as.
Summary of the invention
The embodiment of the present application provides the method and device of a kind of computer-implemented information processing, information inquiry, with part
The solution above problem of the existing technology.
The application adopts the following technical solutions:
This application provides a kind of methods of computer-implemented information processing, comprising:
According at least one attribute dimensions, extraction is described at least from at least one associated historical information of target object
The corresponding attribute value of one attribute dimensions, and according to the attribute value that extracts determine it is corresponding with the target object at least one
Data relationship group, wherein two are included at least in each data relationship group from the associated historical information of the target object
The attribute value extracted；
Specified attribute value is selected from the attribute value extracted, and is determined in the attribute value extracted and removed the specified category
Other attribute values other than property value；
According to data relationship group belonging to other described attribute values and the specified attribute value, in other described attribute values
Attribute value relevant to specified attribute value is determined, as correlation attribute value；
The incidence relation of the specified attribute value and the correlation attribute value is stored, to retrieve according to the incidence relation
Information relevant to the target object.
Optionally, the data relationship group according to belonging to other described attribute values and the specified attribute value, it is described other
Attribute value relevant to specified attribute value is determined in attribute value, includes: as the step of correlation attribute value
The specified attribute value is determined as primary attribute value；
In other described attribute values, attribute value identical with data relationship group belonging to the primary attribute value is determined,
As correlation attribute value；
The correlation attribute value is redefined as primary attribute value, and according to the primary attribute value redefined, is continued
Correlation attribute value is determined in other attribute values, until meeting preset condition.
Optionally, if the number for redefining primary attribute value reaches setting number, or determination is not found and the basis
The identical attribute value of data relationship group belonging to attribute value, determination meet the preset condition.
Optionally, if the number for redefining primary attribute value reaches setting number, the last correlation determined
Attribute value is particular attribute-value, will include in data relationship group belonging to the particular attribute-value except the particular attribute-value with
Outer attribute value, as correlation attribute value.
Optionally, the step of storing the incidence relation of the specified attribute value and the correlation attribute value include:
Using the specified attribute value and the correlation attribute value as each node, in the specified attribute value and institute
It states in correlation attribute value, connection is located at node corresponding to the attribute value in same data relationship group, to establish graph structure and deposit
Storage.
This application provides a kind of methods of information inquiry, comprising:
Determine attribute value to be checked；
In the incidence relation of the corresponding specified attribute value of pre-stored each target object and correlation attribute value, determines and close
It include the target object of the attribute value to be checked in connection relationship, as specified target object, wherein the incidence relation passes through
The method of above- mentioned information storage is determined；
According to the attribute value to be checked and the corresponding specified attribute value of the specified target object and correlation attribute value
Incidence relation determine query result.
Optionally it is determined that the step of attribute value to be checked, includes:
Receive information inquiring request；
According to the information inquiring request, attribute value to be checked is determined.
Optionally, the incidence relation of the corresponding specified attribute value of the target object and correlation attribute value is with the shape of graph structure
Formula is established；
According to the attribute value to be checked and the corresponding specified attribute value of the specified target object and correlation attribute value
Incidence relation the step of determining query result include:
In the graph structure of the corresponding specified attribute value of the specified target object and correlation attribute value, determine described to be checked
Ask the node that attribute value is hit；
There to be the corresponding attribute value of other nodes of connection relationship relevant to the node of the hit in the graph structure
Information is determined as query result.
This application provides a kind of devices of information processing, comprising:
Extraction module, for according at least one attribute dimensions, from at least one associated historical information of target object
The corresponding attribute value of at least one attribute dimensions described in middle extraction, and according to the attribute value determination and the target object extracted
At least one corresponding data relationship group, wherein include at least two in each data relationship group and closed from the target object
The attribute value extracted in the historical information of connection；
Module is chosen, for selecting specified attribute value from the attribute value extracted, and in the attribute value extracted really
Fixed other attribute values in addition to the specified attribute value；
Determining module, for the data relationship group according to belonging to other described attribute values and the specified attribute value, in institute
It states and determines attribute value relevant to the specified attribute value in other attribute values, as correlation attribute value；
Memory module, for storing the incidence relation of the specified attribute value and the correlation attribute value, so as to according to institute
It states incidence relation and retrieves information relevant to the target object.
This application provides a kind of devices of information inquiry, comprising:
First determining module, for determining attribute value to be checked；
Second determining module, in the corresponding specified attribute value of pre-stored each target object and correlation attribute value
In incidence relation, determine include in incidence relation the attribute value to be checked target object, as specified target object,
In, the incidence relation is determined by the method that above- mentioned information store；
Enquiry module, for according to the attribute value to be checked and the corresponding specified attribute value of the specified target object
Query result is determined with the incidence relation of correlation attribute value.
This application provides a kind of computer readable storage medium, the storage medium is stored with computer program, described
The method of above- mentioned information storage and information recommendation is realized when computer program is executed by processor.
This application provides a kind of electronic equipment, including memory, processor and storage on a memory and can handled
The computer program run on device, the processor realize the side of above- mentioned information storage and information recommendation when executing described program
Method.
The application use at least one above-mentioned technical solution can reach it is following the utility model has the advantages that
In the method for information provided by the present application storage and information recommendation, according at least one attribute dimensions, from
Extract the corresponding attribute value of at least one attribute dimensions at least one associated historical information of target object, and according to mentioning
The attribute value of taking-up determines at least one data relationship group corresponding with the target object, wherein in each data relationship group extremely
Include less two attribute values extracted from the associated historical information of the target object, is selected from the attribute value extracted
Specified attribute value, and determine in the attribute value extracted other attribute values other than the specified attribute value, according to extracting
Other attribute values and the specified attribute value belonging to data relationship group, determined in other attribute values extracted specified with this
The relevant attribute value of attribute value as correlation attribute value, and then stores the incidence relation of the specified attribute value and correlation attribute value,
To retrieve information relevant to the target object according to the incidence relation in the follow-up process.
In from the above as can be seen that due to that can determine the specified attribute value after selected specified attribute value
Correlation attribute value, and the incidence relation of specified attribute value and correlation attribute value is stored, so, in follow-up inquiry
In the process, not only information relevant to specified attribute value as query result can be recommended into user, can also will to it is related
The relevant information of attribute value recommends user as query result, that is, realizes while by the relevant information in different business field
Recommend to user, to bring great convenience to user.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present application, constitutes part of this application, this Shen
Illustrative embodiments and their description please are not constituted an undue limitation on the present application for explaining the application.In the accompanying drawings:
Fig. 1 is a kind of flow diagram of the method for information processing provided by the present application；
Fig. 2 is the schematic diagram of graph structure provided by the embodiments of the present application；
Fig. 3 is a kind of flow diagram of the method for information inquiry provided by the present application；
Fig. 4 is a kind of schematic device of information processing provided by the present application；
Fig. 5 is a kind of schematic device of information inquiry provided by the present application；
Fig. 6 is the electronic equipment schematic diagram provided by the present application corresponding to Fig. 1 and Fig. 3.
Specific embodiment
To keep the purposes, technical schemes and advantages of the application clearer, below in conjunction with the application specific embodiment and
Technical scheme is clearly and completely described in corresponding attached drawing.Obviously, described embodiment is only the application one
Section Example, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall in the protection scope of this application.
Below in conjunction with attached drawing, the technical scheme provided by various embodiments of the present application will be described in detail.
Fig. 1 is a kind of flow diagram of the method for information processing provided by the present application, specifically includes the following steps:
S101: according at least one attribute dimensions, institute is extracted from at least one associated historical information of target object
The corresponding attribute value of at least one attribute dimensions is stated, and corresponding with the target object extremely according to the attribute value determination extracted
A few data relationship group, wherein included at least in each data relationship group two from the associated history of the target object
The attribute value extracted in information.
In the embodiment of the present application, at least one associated historical information of target object can first be obtained.Wherein, it mentions here
To target object refer to things present in actual life, for example, specific city, businessman, vegetable, tourist attractions etc..And
At least one associated historical information of target object can refer to that user is directed to comment, question and answer and the target object of target object
Attribute information etc..For example, at least one associated historical information can refer to that user exists when the target object is businessman
In history for the comment of the businessman (including to businessman service, environment, operation the comment delivered of commodity), question and answer and
The attribute informations such as business scope, the geographical location of the businessman.
The executing subject of above-mentioned at least one associated historical information of acquisition target object can be computer, at exclusive data
The terminal devices such as device are managed, server is also possible to.And for ease of description, below will only by taking server is executing subject as an example,
The method of method and the inquiry of subsequent information to computer-implemented information processing provided by the present application is illustrated.
At least one preset attribute dimensions are pre-saved in server, these attribute dimensions can be business personnel's root
It is set according to actual service conditions.Server, can be with after getting at least one associated historical information of target object
According to these at least one preset attribute dimensions, at least one attribute dimensions are extracted from least one historical information
Corresponding attribute value, and at least one data relationship corresponding with the target object is determined according to each attribute value extracted
Group.
Wherein, attribute dimensions mentioned herein can refer to the general designation of specific things, and its corresponding attribute value then can be with
Refer to specific things.For example, the corresponding attribute value of the attribute dimensions is city name if attribute dimensions are city；Example again
Such as, if attribute dimensions are businessman, the corresponding attribute value of the attribute dimensions is Merchant name.
In the embodiment of the present application, server can be extracted from least one historical information in several ways
The corresponding attribute value of at least one attribute dimensions.For example, server can be gone through by way of identifying specific field from these
The corresponding attribute value of at least one attribute dimensions is extracted in history information；For another example each history that server can will acquire
Information is separately input in preset identification model, and then is extracted at least one attribute dimensions from these historical informations and corresponded to
Attribute value.Other modes just have been illustrated one by one herein.
In practical applications, often there is certain relevance between different attribute dimension.For example, between businessman and vegetable
In the presence of the relationship of selling, there are commercial circle relationship between businessman and commercial circle, relationship of playing between businessman and tourist attractions.Based on this, In
In the embodiment of the present application, server can be determined relevance existing between the attribute value extracted and each attribute value
At least one data relationship group corresponding with the target object.
For example, server extracts Merchant name and tourism from least one corresponding historical information of the target object
The two attribute values of sight name can then construct a ternary by Merchant name, relationship of playing, tourist attractions title
Group, and using the triple as the corresponding data relationship group of the target object.
The form of above-mentioned data relationship group is not unique, can be triple form mentioned above, is also possible to quaternary
The form (the not relevance between record attribute value, only there are associated attribute values for record) of group, or it is the form of five-tuple
(i.e. on the basis of above-mentioned triple, increasing the relevance between an attribute value and the attribute value and other attribute values)
Deng.
S102: selecting specified attribute value from the attribute value extracted, and determines in the attribute value extracted except described
Other attribute values other than specified attribute value.
After determining each data relationship group, server can choose specified attribute value from the attribute value extracted.Tool
Body, which can be the artificially attribute value of selected specified attribute dimension according to actual business demand.Institute
With after extracting each attribute value, server can be selected from each attribute value and be corresponding to it according to the specified attribute dimension
Specified attribute value, and using the attribute value in addition to the specified attribute value as other attribute values.
In the embodiment of the present application, server chooses specified attribute value from each attribute value, actually in order to select
It include each data relationship group of the specified attribute value, and then on the basis of these data relationship groups, from remaining data relationship
Other attribute values relevant to the specified attribute value are selected in group.
S103: according to data relationship group belonging to other described attribute values and the specified attribute value, in other described categories
Property value in determine relevant to specified attribute value attribute value, as correlation attribute value.
In the embodiment of the present application, which can be determined as primary attribute value by server, and determined
Other each attribute values in, identical with data relationship group belonging to primary attribute value attribute value is determined, as association attributes
Value.Then, which can be redefined as primary attribute value by server, and according to the primary attribute redefined
Value continues to determine correlation attribute value in other remaining attribute values, until meeting preset condition.
For example, it is assumed that the specified attribute value that server is chosen is A, determination includes the data relationship group of specified attribute value A
It is other attribute values for [A, B], B.Server initially can be using specified attribute value A as basic attribute value, by other attribute values B
Correlation attribute value as primary attribute value A.Then, server can using correlation attribute value B as basic attribute value, and
Determined in remaining data relationship group include primary attribute value B data relationship group be [B, C], C is also other attribute values.
Server can be using other attribute values C as the correlation attribute value of basic attribute value B.Similarly, server can belong to correlation
Property value C as basic attribute value, and determine in remaining data relationship group include primary attribute value C data relationship group
It is also other attribute values for [C, D], D.Server can be using other attribute values D as the correlation attribute value of basic attribute value C.
Server can be using other attribute values B, C, the D determined as the correlation attribute value of specified attribute value A.
In practical applications, include specified attribute value data relationship group may have it is multiple, include it is same other category
The data relationship group of property value may also have multiple.For in this case, server can be from including the specified attribute value
Each data relationship group set out, determine the correlation attribute value of the specified attribute value in the manner described above.For example, it is assumed that specified
Attribute value is A, includes the data relationship group of specified attribute value A are as follows: [A, B], [A, C].B can be redefined as base by server
Plinth attribute value, and determine the correlation attribute value of primary attribute value B.Similarly, based on server can redefine C simultaneously
Attribute value, and determine the correlation attribute value of primary attribute value C.
In other words, other attribute values B and other attribute values C can be considered as to the Liang Ge branch of determining correlation attribute value,
Server can determine each correlation attribute value of the two branches respectively, and then each correlation attribute value of the two branches is made
For the correlation attribute value of specified attribute value A.
In the embodiment of the present application, multiple specified attribute dimensions can be arranged according to actual business demand in business personnel,
Correspondingly, server can select multiple specified attribute values according to these specified attribute dimensions from each attribute value.Server
The correlation attribute value of each specified attribute value can be determined respectively, and then in the follow-up process, for each in the manner described above
Specified attribute value stores the incidence relation of the specified attribute value and correlation attribute value.
As can be seen that server is actually to be closed using specified attribute value as starting point by each data in from the above
It is attribute value included in group, extends the correlation attribute value of the specified attribute value step by step.So, it may be implemented same
When recommend using the relevant information in different business field as query result to user, to bring great side to user
Just.
In practical applications, other attribute values is large number of, so, server passes through the finger that the above method is extended
The correlation attribute value for determining attribute value may also be large number of.If not limited to the quantity of correlation attribute value, then not only can
Influence the efficiency of subsequent information inquiry, also, extend number excessively obtained correlation attribute value and the specified attribute value it
Between relevance may it is relatively low, to influence the accuracy and reasonability of subsequent obtained query result.
For this purpose, in the embodiment of the present application, server can supervise constantly when determining the correlation attribute value of specified attribute value
It surveys and whether meets preset condition, if so, stopping continuing this cyclic process, that is, stopping continues to determine the specified attribute value
Otherwise correlation attribute value continues the correlation attribute value for determining the specified attribute value.
Wherein, if monitoring server can determine full to the secondary setting number counted to for redefining primary attribute value
The foot preset condition.Continue to use the example above, the preset condition recorded in server includes: to redefine the setting of primary attribute value
Number is 2 times, that is, when determining the correlation attribute value of each specified attribute value, the number for redefining primary attribute value cannot
More than twice.So server is when determining the correlation attribute value of specified attribute value A, using other attribute values B as basic attribute
Value is to redefine primary attribute value for the first time, is to redefine basis for the second time using other attribute values C as basic attribute value
Attribute value.As it can be seen that having had reached the setting number, institute when being that basic attribute value determines correlation attribute value with other attribute values C
With server will not again continue other attribute values D as basic attribute value to determine correlation attribute value.Correspondingly, server
The correlation attribute value for determining specified attribute value A is B, C, D.
In the embodiment of the present application, which determines the correlation attribute value of a branch most
It is big to extend number.That is, for it is mentioned above the case where there are multiple-limbs for, server need guarantee weigh on each limb
The setting number is not to be exceeded in the new number for determining primary attribute value.
In addition, if attribute value identical with data relationship group belonging to primary attribute value is not found in server determination, that is,
The correlation attribute value of primary attribute value is not found, it is determined that is met preset condition, and then is stopped continuing to determine the specified attribute value
Correlation attribute value.For example, it is assumed that server by specified attribute value A, finds correlation attribute value B, using correlation attribute value B as
Primary attribute value finds correlation attribute value C.And be basic attribute value with correlation attribute value C, search the phase of primary attribute value C
It is found when closing attribute value, does not include the data relationship group of primary attribute value C in remaining data relationship group, that is, do not deposit
In the correlation attribute value of primary attribute value C, then server stops the correlation attribute value for continuing to determine specified attribute value A.
In practical applications, the relevance between individual attribute value is more close, and in order to guarantee that server is subsequent
The more close relevant information of attribute value institute of these relevances can be recommended user as query result, business personnel can
At least one more close spy of being associated with property is arranged for each specified attribute dimension according to actual business demand
Determine attribute dimensions.Based on this, if monitoring server has arrived at setting number to the number for redefining primary attribute value, most
The correlation attribute value closely once determined is at least one corresponding particular attribute-value of particular community dimension, then can be by the specified genus
The attribute value in addition to the particular attribute-value for including in data relationship group belonging to property value, as correlation attribute value.
Continue to use the example above, business personnel thinks attribute dimensions a and attribute dimensions d, and close with attribute dimensions d relevance
Other attribute dimensions cut relevance in practical business is more close, then can be set as attribute dimensions a and d pairs of attribute dimensions
The particular community dimension answered.Server is being basic attribute value with correlation attribute value C, determines correlation attribute value D (i.e. attribute dimension
Spend the corresponding attribute value of d) after, it is found that while that the number for redefining primary attribute value has had arrived at setting number, but phase
Pass attribute value D is the corresponding attribute value of preset particular community dimension, then server can redefine correlation attribute value D
For basic attribute value, and further determine the correlation attribute value E of primary attribute value D.Correspondingly, what server was determined
The correlation attribute value of specified attribute value A (i.e. the corresponding attribute value of attribute dimensions a) is B, C, D, E.
Due to being to redefine the number of primary attribute value to reach setting number, server can also will be with specified category
Property value relevance more close particular attribute-value and its correlation attribute value select to a certain extent come, to effectively protect
Demonstrate,proved it is subsequent the more close information of relevance can be recommended user as query result, brought well letter to user
Breath inquiry experience.
S104: storing the incidence relation of the specified attribute value and the correlation attribute value, to be closed according to the association
Information relevant to the target object is retrieved by system.
After determining specified attribute value and its correlation attribute value, server it is specified can to establish this in the form of graph structure
Attribute value and the incidence relation of correlation attribute value and storage.Specifically, server can be by the specified attribute value and related category
Property value respectively as each node, and in the specified attribute value and correlation attribute value, the category in same data relationship group will be located at
Node corresponding to property value is attached, to obtain corresponding graph structure and store, as shown in Figure 2.
Fig. 2 is the schematic diagram of graph structure provided by the embodiments of the present application.
In Fig. 2, the specified attribute value that server selects is A, other attribute values B~L is the specified category determined
The correlation attribute value of property value A.For each attribute value for including in a data relationship group, these attribute values, which have, directly to be closed
Connection property.So relevance of the server according to each attribute value indicated in each data relationship group, by specified attribute value A and each phase
Attribute value is closed to be attached.Wherein, since specified attribute value A and correlation attribute value B is located at same data relationship group, so, refer to
Attribute value A and correlation attribute value B is determined with connection relationship.Similarly, since correlation attribute value K and correlation attribute value L is positioned at same
Data relationship group, so, correlation attribute value K and correlation attribute value L have connection relationship.
Server can store the incidence relation (graph structure) of the specified attribute value of foundation and correlation attribute value, with
Just during subsequent information recommendation, by the incidence relation, information relevant to the target object, detailed process are retrieved
As shown below.
Fig. 3 is a kind of flow diagram of the method for information inquiry provided by the present application, specifically includes the following steps:
S301: attribute value to be checked is determined.
In the embodiment of the present application, server can carry out information to user and push away according to the attribute value to be checked determined
It recommends.Wherein, server determines that the mode of attribute value to be checked can have very much, for example, user according to itself actual demand into
When row information is inquired, keyword is inputted in the App that can install into the terminal or terminal held.Terminal or App can bases
The keyword generates corresponding information inquiring request, and the information inquiring request is sent to server.Server receives this
After information inquiring request, it can determine corresponding query result based on the keyword carried in the information inquiring request and push away
It recommends and gives the user.Wherein, terminal mentioned herein can refer to the equipment such as mobile phone, tablet computer.
For another example server can also be drawn a portrait based on the user of the user, determine closely related with the hobby of the user
Hobby keyword be based on the category to be checked and using the hobby keyword as attribute value to be checked, and then in the follow-up process
Property value determines corresponding query result and recommends user.
For another example server can position user, determine that the user is presently in the location information of position, into
And using the location information as attribute value to be checked, and in the follow-up process, it is determined accordingly based on the attribute value to be checked
Query result simultaneously recommends user.Other modes just do not make illustrated in greater detail herein.
S302: in the incidence relation of the corresponding specified attribute value of pre-stored each target object and correlation attribute value,
The target object in incidence relation comprising the attribute value to be checked is determined, as specified target object, wherein the association is closed
System is determined by the method that above- mentioned information store.
It, can be in the corresponding specified attribute value of pre-stored each target object after server determines attribute value to be checked
In the incidence relation of correlation attribute value, determine include in incidence relation the attribute value to be checked target object, and will
The target object is as specified target object.
For example, it is assumed that the attribute value to be checked is tourist attractions title, server is determined corresponding in each target object
It include the tourism in the incidence relation of this target object of city A in the incidence relation of specified attribute value and correlation attribute value
Sight name, then server can be using city A as specified target object.
S303: belonged to according to the attribute value to be checked and the corresponding specified attribute value of the specified target object to related
The incidence relation of property value determines query result.
Due to can be by the incidence relation of the corresponding specified attribute value of target object and correlation attribute value with the shape of graph structure
Formula is established, so, server can specify the figure knot of target object corresponding specified attribute value and correlation attribute value at this
In structure, the node that the attribute value to be checked is hit is determined, and will there is connection relationship with the node of the hit in the graph structure
Other nodes correspond to the relevant information of attribute value and be determined as query result and recommend the user.
By taking graph structure shown in Fig. 2 as an example, it is assumed that attribute value to be checked be E, server can by graph structure with category
Property value E where node there is the relevant information of node A, F, I of connection relationship to recommend user as query result.
Certainly, server can also will set other nodes pair in syntople with the nodal distance of hit in graph structure
It answers the relevant information of attribute value to be determined as query result and recommends user.Continue to use the example above, it is assumed that the preset setting of server
Syntople is 3.In graph structure shown in Fig. 2, with the node E of hit apart from this set the node of syntople as H, L, J,
C.Server can will be no more than the node (graph structure shown in Fig. 2 of the setting syntople with the distance between node E
In, only the distance between node D and node E are more than the setting syntople, remaining node is no more than) correspond to attribute value phase
The information of pass recommends user as query result, so that user checks.
In from the above as can be seen that the incidence relation determined of the mode that is handled based on above- mentioned information of server to
When user carries out information recommendation, not only information relevant to specified attribute value as query result can be recommended into user, and also
Information relevant to correlation attribute value as query result can be recommended into user, that is, realize while leading different business
The relevant information in domain is recommended to user, to bring great convenience to user.
For example, user has input a tourist attractions title, then server can by pre-stored each incidence relation,
It is businessman B, businessman C, vegetable that determining, which has associated correlation attribute value with this attribute value to be checked of the tourist attractions title,
K, vegetable L, recreation ground H, park F, then server can push away information relevant to these correlation attribute values as query result
It recommends to user, so that user checks, to bring good service experience to user.
The computer-implemented information processing provided the above are one or more embodiments of the application and information inquiry
Method, be based on same thinking, present invention also provides the devices that corresponding information processing and information are inquired, such as Fig. 4,5
It is shown.
Fig. 4 is a kind of schematic device of information processing provided by the present application, is specifically included:
Extraction module 401, for being believed from at least one associated history of target object according at least one attribute dimensions
The corresponding attribute value of at least one described attribute dimensions is extracted in breath, and according to the attribute value determination and the target pair extracted
As at least one corresponding data relationship group, wherein in each data relationship group include at least two from the target object
The attribute value extracted in associated historical information；
Module 402 is chosen, for selecting specified attribute value from the attribute value extracted, and in the attribute value extracted
Determine other attribute values in addition to the specified attribute value；
Determining module 403, for the data relationship group according to belonging to other described attribute values and the specified attribute value, In
Attribute value relevant to specified attribute value is determined in other described attribute values, as correlation attribute value；
Memory module 404, for storing the incidence relation of the specified attribute value and the correlation attribute value, so as to basis
The incidence relation retrieves information relevant to the target object.
Optionally, the determining module 403 is specifically used for, and the specified attribute value is determined as primary attribute value；Institute
It states in other attribute values, attribute value identical with data relationship group belonging to the primary attribute value is determined, as association attributes
Value；The correlation attribute value is redefined as primary attribute value, and according to the primary attribute value redefined, is continued at other
Correlation attribute value is determined in attribute value, until meeting preset condition.
Optionally, the determining module 403 is specifically used for, if the number for redefining primary attribute value reaches setting time
Number, or determine and do not find attribute value identical with data relationship group belonging to the primary attribute value, it determines and meets described preset
Condition.
Optionally, the determining module 403 is specifically used for, if the number for redefining primary attribute value reaches setting number
When, the correlation attribute value that the last time is determined is particular attribute-value, will be in data relationship group belonging to the particular attribute-value
The attribute value in addition to the particular attribute-value for including, as correlation attribute value.
Optionally, the memory module 404 is specifically used for, and the specified attribute value and the correlation attribute value are distinguished
As each node, in the specified attribute value and the correlation attribute value, connection is located at the attribute in same data relationship group
The corresponding node of value, to establish graph structure and store.
Fig. 5 is a kind of schematic device of information inquiry provided by the present application, is specifically included:
First determining module 501, for determining attribute value to be checked；
Second determining module 502, in the corresponding specified attribute value of pre-stored each target object and association attributes
In the incidence relation of value, determine include in incidence relation the attribute value to be checked target object, as specified target object,
Wherein, the incidence relation is determined by the method that above- mentioned information store；
Enquiry module 503, for according to the attribute value to be checked and the corresponding specified category of the specified target object
The incidence relation of property value and correlation attribute value determines query result.
Optionally, first determining module 501 is specifically used for, and receives information inquiring request；It is inquired according to the information
Request, determines attribute value to be checked.
Optionally, the incidence relation of the corresponding specified attribute value of the target object and correlation attribute value is with the shape of graph structure
Formula is established；
The enquiry module 503 is specifically used for, in the corresponding specified attribute value of the specified target object and association attributes
In the graph structure of value, the node that the attribute value to be checked is hit is determined；By the node in the graph structure with the hit
Other nodes with connection relationship correspond to the relevant information of attribute value and are determined as query result.
The embodiment of the present application also provides a kind of computer readable storage medium, which is stored with computer journey
Sequence, the method that computer program can be used for executing the information processing that above-mentioned Fig. 1 is provided and the information inquiry that above-mentioned Fig. 3 is provided.
The embodiment of the present application also provides the schematic configuration diagrams of electronic equipment shown in fig. 6.As described in Figure 6, in hardware layer
Face, the electronic equipment include processor, internal bus, network interface, memory and nonvolatile memory, are also possible to wrap certainly
Include hardware required for other business.Processor is right into memory from corresponding computer program is read in nonvolatile memory
After run, with realize information processing described in above-mentioned Fig. 1 method and above-mentioned Fig. 3 described in information inquiry method.Certainly,
Other than software realization mode, other implementations, such as logical device or software and hardware combining is not precluded in this specification
Mode etc., that is to say, that the executing subject of following process flow is not limited to each logic unit, is also possible to hardware
Or logical device.
In the 1990s, the improvement of a technology can be distinguished clearly be on hardware improvement (for example,
Improvement to circuit structures such as diode, transistor, switches) or software on improvement (improvement for method flow).So
And with the development of technology, the improvement of current many method flows can be considered as directly improving for hardware circuit.
Designer nearly all obtains corresponding hardware circuit by the way that improved method flow to be programmed into hardware circuit.Cause
This, it cannot be said that the improvement of a method flow cannot be realized with hardware entities module.For example, programmable logic device
(Programmable Logic Device, PLD) (such as field programmable gate array (Field Programmable Gate
Array, FPGA)) it is exactly such a integrated circuit, logic function determines device programming by user.By designer
Voluntarily programming comes a digital display circuit " integrated " on a piece of PLD, designs and makes without asking chip maker
Dedicated IC chip.Moreover, nowadays, substitution manually makes IC chip, this programming is also used instead mostly " is patrolled
Volume compiler (logic compiler) " software realizes that software compiler used is similar when it writes with program development,
And the source code before compiling also write by handy specific programming language, this is referred to as hardware description language
(Hardware Description Language, HDL), and HDL is also not only a kind of, but there are many kind, such as ABEL
(Advanced Boolean Expression Language)、AHDL(Altera Hardware Description
Language)、Confluence、CUPL(Cornell University Programming Language)、HDCal、JHDL
(Java Hardware Description Language)、Lava、Lola、MyHDL、PALASM、RHDL(Ruby
Hardware Description Language) etc., VHDL (Very-High-Speed is most generally used at present
Integrated Circuit Hardware Description Language) and Verilog.Those skilled in the art also answer
This understands, it is only necessary to method flow slightly programming in logic and is programmed into integrated circuit with above-mentioned several hardware description languages,
The hardware circuit for realizing the logical method process can be readily available.
Controller can be implemented in any suitable manner, for example, controller can take such as microprocessor or processing
The computer for the computer readable program code (such as software or firmware) that device and storage can be executed by (micro-) processor can
Read medium, logic gate, switch, specific integrated circuit (Application Specific Integrated Circuit,
ASIC), the form of programmable logic controller (PLC) and insertion microcontroller, the example of controller includes but is not limited to following microcontroller
Device: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20 and Silicone Labs C8051F320 are deposited
Memory controller is also implemented as a part of the control logic of memory.It is also known in the art that in addition to
Pure computer readable program code mode is realized other than controller, can be made completely by the way that method and step is carried out programming in logic
Controller is obtained to come in fact in the form of logic gate, switch, specific integrated circuit, programmable logic controller (PLC) and insertion microcontroller etc.
Existing identical function.Therefore this controller is considered a kind of hardware component, and to including for realizing various in it
The device of function can also be considered as the structure in hardware component.Or even, it can will be regarded for realizing the device of various functions
For either the software module of implementation method can be the structure in hardware component again.
System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity,
Or it is realized by the product with certain function.It is a kind of typically to realize that equipment is computer.Specifically, computer for example may be used
Think personal computer, laptop computer, cellular phone, camera phone, smart phone, personal digital assistant, media play
It is any in device, navigation equipment, electronic mail equipment, game console, tablet computer, wearable device or these equipment
The combination of equipment.
For convenience of description, it is divided into various units when description apparatus above with function to describe respectively.Certainly, implementing this
The function of each unit can be realized in the same or multiple software and or hardware when application.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/or
The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium
Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including described want
There is also other identical elements in the process, method of element, commodity or equipment.
It will be understood by those skilled in the art that embodiments herein can provide as method, system or computer program product.
Therefore, complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in the application
Form.It is deposited moreover, the application can be used to can be used in the computer that one or more wherein includes computer usable program code
The shape for the computer program product implemented on storage media (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
The application can describe in the general context of computer-executable instructions executed by a computer, such as program
Module.Generally, program module includes routines performing specific tasks or implementing specific abstract data types, programs, objects, group
Part, data structure etc..The application can also be practiced in a distributed computing environment, in these distributed computing environments, by
Task is executed by the connected remote processing devices of communication network.In a distributed computing environment, program module can be with
In the local and remote computer storage media including storage equipment.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality
For applying example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part explanation.
The above description is only an example of the present application, is not intended to limit this application.For those skilled in the art
For, various changes and changes are possible in this application.All any modifications made within the spirit and principles of the present application are equal
Replacement, improvement etc., should be included within the scope of the claims of this application.
Claims (12)
1. a kind of method of computer-implemented information processing, comprising:
According at least one attribute dimensions, extracted from at least one associated historical information of target object it is described at least one
The corresponding attribute value of attribute dimensions, and at least one data corresponding with the target object are determined according to the attribute value extracted
Relationship group, wherein include at least two in each data relationship group and extracted from the associated historical information of the target object
Attribute value out；
Specified attribute value is selected from the attribute value extracted, and is determined in the attribute value extracted and removed the specified attribute value
Other attribute values in addition；
According to data relationship group belonging to other described attribute values and the specified attribute value, determined in other described attribute values
Attribute value relevant to specified attribute value, as correlation attribute value；
The incidence relation of the specified attribute value and the correlation attribute value is stored, so as to according to incidence relation retrieval and institute
State the relevant information of target object.
2. the method for claim 1, wherein data according to belonging to other described attribute values and the specified attribute value
Relationship group determines attribute value relevant to specified attribute value, the step as correlation attribute value in other described attribute values
Suddenly include:
The specified attribute value is determined as primary attribute value；
In other described attribute values, attribute value identical with data relationship group belonging to the primary attribute value is determined, as
Correlation attribute value；
The correlation attribute value is redefined as primary attribute value, and according to the primary attribute value redefined, is continued at it
Correlation attribute value is determined in his attribute value, until meeting preset condition.
3. method according to claim 2, wherein if the number for redefining primary attribute value reaches setting number, or really
Fixed not find attribute value identical with data relationship group belonging to the primary attribute value, determination meets the preset condition.
4. method as claimed in claim 3, wherein if the number for redefining primary attribute value reaches setting number, most
The correlation attribute value closely once determined is particular attribute-value, will include in data relationship group belonging to the particular attribute-value
Attribute value in addition to the particular attribute-value, as correlation attribute value.
5. the method for claim 1, wherein storing the incidence relation of the specified attribute value and the correlation attribute value
The step of include:
Using the specified attribute value and the correlation attribute value as each node, in the specified attribute value and the phase
It closes in attribute value, connection is located at node corresponding to the attribute value in same data relationship group, to establish graph structure and store.
6. a kind of method of information inquiry, comprising:
Determine attribute value to be checked；
In the incidence relation of the corresponding specified attribute value of pre-stored each target object and correlation attribute value, determine that association is closed
It include the target object of the attribute value to be checked in system, as specified target object, wherein the incidence relation passes through above-mentioned
The method of any one of Claims 1 to 5 is determined；
According to the attribute value to be checked and the pass of the specified target object corresponding specified attribute value and correlation attribute value
Connection relationship determines query result.
7. method as claimed in claim 6, wherein the step of determining attribute value to be checked include:
Receive information inquiring request；
According to the information inquiring request, attribute value to be checked is determined.
8. method as claimed in claim 6, wherein the pass of the target object corresponding specified attribute value and correlation attribute value
Connection relationship is established in the form of graph structure；
According to the attribute value to be checked and the pass of the specified target object corresponding specified attribute value and correlation attribute value
The step of connection relationship determines query result include:
In the graph structure of the corresponding specified attribute value of the specified target object and correlation attribute value, the category to be checked is determined
The node that property value is hit；
There to be the relevant information of the corresponding attribute value of other nodes of connection relationship to the node of the hit in the graph structure
It is determined as query result.
9. a kind of device of information processing, comprising:
Extraction module, for being mentioned from at least one associated historical information of target object according at least one attribute dimensions
The corresponding attribute value of at least one described attribute dimensions is taken, and corresponding with the target object according to the attribute value determination extracted
At least one data relationship group, wherein two are included at least in each data relationship group from associated with the target object
The attribute value extracted in historical information；
Module is chosen, determination removes for selecting specified attribute value from the attribute value extracted, and in the attribute value extracted
Other attribute values other than the specified attribute value；
Determining module, for the data relationship group according to belonging to other described attribute values and the specified attribute value, it is described its
Attribute value relevant to specified attribute value is determined in his attribute value, as correlation attribute value；
Memory module, for storing the incidence relation of the specified attribute value and the correlation attribute value, so as to according to the pass
Connection relationship retrieves information relevant to the target object.
10. a kind of device of information inquiry, comprising:
First determining module, for determining attribute value to be checked；
Second determining module, for being associated in the corresponding specified attribute value of pre-stored each target object and correlation attribute value
In relationship, the target object in incidence relation comprising the attribute value to be checked is determined, as specified target object, wherein institute
Incidence relation is stated to be determined by the method that above- mentioned information store；
Enquiry module, for according to the attribute value to be checked and the corresponding specified attribute value of the specified target object and phase
The incidence relation for closing attribute value determines query result.
11. a kind of computer readable storage medium, which is characterized in that the storage medium is stored with computer program, the meter
The described in any item methods of the claims 1~8 are realized when calculation machine program is executed by processor.
12. a kind of electronic equipment including memory, processor and stores the calculating that can be run on a memory and on a processor
Machine program, which is characterized in that the processor realizes the described in any item sides of the claims 1~8 when executing described program
Method.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111581357A (en) * | 2020-03-31 | 2020-08-25 | 山东浪潮通软信息科技有限公司 | Processing method, device, equipment and medium based on special auxiliary accounting |
| CN111860575A (en) * | 2020-06-05 | 2020-10-30 | 百度在线网络技术（北京）有限公司 | Method and device for processing article attribute information, electronic equipment and storage medium |
| CN113010524A (en) * | 2021-03-31 | 2021-06-22 | 珠海必要工业科技股份有限公司 | Object information storage method, device, equipment and computer readable medium |
| CN114554253A (en) * | 2021-12-27 | 2022-05-27 | 北京达佳互联信息技术有限公司 | Resource recommendation method and device, electronic equipment and storage medium |
| CN115883508A (en) * | 2021-09-26 | 2023-03-31 | 中移物联网有限公司 | Number processing method and device, electronic equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111581357A (en) * | 2020-03-31 | 2020-08-25 | 山东浪潮通软信息科技有限公司 | Processing method, device, equipment and medium based on special auxiliary accounting |
| CN111581357B (en) * | 2020-03-31 | 2023-09-22 | 浪潮通用软件有限公司 | Processing method, device, equipment and medium based on special auxiliary accounting |
| CN111860575A (en) * | 2020-06-05 | 2020-10-30 | 百度在线网络技术（北京）有限公司 | Method and device for processing article attribute information, electronic equipment and storage medium |
| CN111860575B (en) * | 2020-06-05 | 2023-06-16 | 百度在线网络技术（北京）有限公司 | Method and device for processing object attribute information, electronic equipment and storage medium |
| CN113010524A (en) * | 2021-03-31 | 2021-06-22 | 珠海必要工业科技股份有限公司 | Object information storage method, device, equipment and computer readable medium |
| CN115883508A (en) * | 2021-09-26 | 2023-03-31 | 中移物联网有限公司 | Number processing method and device, electronic equipment and storage medium |
| CN115883508B (en) * | 2021-09-26 | 2024-06-07 | 中移物联网有限公司 | Number processing method and device, electronic equipment and storage medium |
| CN114554253A (en) * | 2021-12-27 | 2022-05-27 | 北京达佳互联信息技术有限公司 | Resource recommendation method and device, electronic equipment and storage medium |
| CN114554253B (en) * | 2021-12-27 | 2024-02-23 | 北京达佳互联信息技术有限公司 | Resource recommendation method and device, electronic equipment and storage medium |
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