CN103473290B - The processing method and processing device of the attribute data of point of interest - Google Patents
The processing method and processing device of the attribute data of point of interest Download PDFInfo
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Abstract
The present invention provides a kind of processing method and processing device of POI attribute data.The embodiment of the present invention by obtain at least one data source provide POI candidate attribute data, and then according to the candidate attribute data, obtain the richness parameter and/or accuracy parameter of the candidate attribute data, make it possible to according to the richness parameter and/or the accuracy parameter, at least one attribute included at least one candidate attribute data is selected from the candidate attribute data, using the objective attribute target attribute data as the POI, can avoid in the prior art due to the POI detail informations in POI search result contains only be merely able to caused by the attribute field of several fixations to client the attribute information indicated by the attribute field of these fixations is provided the problem of, so as to improve the specific aim and validity of POI search.
Description
【Technical field】
The present invention relates to location-based service (Location Based Service, LBS) technology, more particularly to a kind of point of interest
The processing method and processing device of the attribute data of (Point of Interest, POI).
【Background technology】
With the development of the communication technology, terminal is integrated with increasing function, so that the systemic-function row of terminal
More and more corresponding application programs are contained in table.Some location-based services (Location can be related in some application programs
Based Service, LBS), also known as positioning service, for example, Baidu's parameter map etc..In existing LBS, client can lead to
Cross to server and send searching request, to obtain multiple points of interest (Point of Interest, POI) search result.In POI
In search result, POI detail informations include the attribute field of several fixations, for example, the elementary field such as title, phone and address,
And label, the extended field such as price, comment per capita,
However, because the POI detail informations in POI search result contains only the attribute field of several fixations, therefore, only
The attribute information indicated by the attribute field of these fixations can be provided to client, so as to result in the specific aim of POI search
With the reduction of validity.
【The content of the invention】
The many aspects of the present invention provide a kind of processing method and processing device of POI attribute data, to improve POI search
Specific aim and validity.
An aspect of of the present present invention there is provided a kind of processing method of POI attribute data, including：
The POI of at least one data source offer candidate attribute data are provided；
According to the candidate attribute data, the richness parameter and/or accuracy parameter of the candidate attribute data are obtained；
According to the richness parameter and/or the accuracy parameter, at least one is selected from the candidate attribute data
At least one attribute included in individual candidate attribute data, using the objective attribute target attribute data as the POI.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, it is described according to institute
Candidate attribute data are stated, the richness parameter of the candidate attribute data is obtained, including：
To the candidate attribute data, cutting word processing is carried out, to obtain cutting word result；
According to the quantity of the cutting word result, the richness parameter is obtained.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, it is described according to institute
Candidate attribute data are stated, the accuracy parameter of the candidate attribute data is obtained, including：
Obtain the diff values of each attribute included in the candidate attribute data；
According to the diff values of each attribute, the accuracy parameter is obtained.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, it is described according to institute
Richness parameter and/or the accuracy parameter are stated, at least one candidate attribute data is selected from the candidate attribute data
Included at least one attribute, using after the objective attribute target attribute data as the POI, in addition to：
Receive the searching keyword that client is sent；
According to the searching keyword, the POI corresponding with the searching keyword is matched；
According to the POI, the objective attribute target attribute data corresponding with the POI are obtained；
The objective attribute target attribute data are sent to the client.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, it is described according to institute
State POI, it is described to send the target category to the client after obtaining the objective attribute target attribute data corresponding with the POI
Before property data, in addition to：
According to the searching keyword, the corresponding trade information of the searching keyword is obtained；
According to trade information and the corresponding relation of data organization template, data tissue corresponding with the trade information is obtained
Template；
Using the data organization template, organize the objective attribute target attribute data, so as to the client send tissue it
The objective attribute target attribute data afterwards.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, candidate's category
Property data in also include classification information, the classification information is to identify the data category belonging to the candidate attribute data.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, the utilization institute
State data organization template, before organizing the objective attribute target attribute data, in addition to：
According to the corresponding relation of trade information and classification information, the classification letter corresponding with the trade information is obtained
Breath；
According to the classification information, the objective attribute target attribute data corresponding with the classification information are obtained.
Another aspect of the present invention there is provided a kind of processing unit of POI attribute data, including：
Obtaining unit, the candidate attribute data of the POI for obtaining the offer of at least one data source；
The obtaining unit, is additionally operable to obtain the richness of the candidate attribute data according to the candidate attribute data
Parameter and/or accuracy parameter；
Selecting unit, for according to the richness parameter and/or the accuracy parameter, from the candidate attribute data
Middle at least one attribute selected included at least one candidate attribute data, using the objective attribute target attribute data as the POI.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, the acquisition list
Member, specifically for
To the candidate attribute data, cutting word processing is carried out, to obtain cutting word result；And
According to the quantity of the cutting word result, the richness parameter is obtained.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, the acquisition list
Member, specifically for
Obtain the diff values of each attribute included in the candidate attribute data；And
According to the diff values of each attribute, the accuracy parameter is obtained.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, described device is also
Including：
Receiving unit, the searching keyword for receiving client transmission；
Search unit, for according to the searching keyword, matching the POI corresponding with the searching keyword；
The obtaining unit, is additionally operable to, according to the POI, obtain the objective attribute target attribute data corresponding with the POI；
Described device also includes：
Transmitting element, for sending the objective attribute target attribute data to the client.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, the acquisition list
Member, specifically for
According to the searching keyword, the corresponding trade information of the searching keyword is obtained；
According to trade information and the corresponding relation of data organization template, data tissue corresponding with the trade information is obtained
Template；And
Using the data organization template, the objective attribute target attribute data are organized, so that the transmitting element is to the client
End sends the objective attribute target attribute data after tissue.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, candidate's category
Property data in also include classification information, the classification information is to identify the data category belonging to the candidate attribute data.
Aspect as described above and any possible implementation, it is further provided a kind of implementation, the acquisition list
Member, is additionally operable to
According to the corresponding relation of trade information and classification information, the classification letter corresponding with the trade information is obtained
Breath；And
According to the classification information, the objective attribute target attribute data corresponding with the classification information are obtained.
As shown from the above technical solution, the embodiment of the present invention by obtain at least one data source provide POI candidate
Attribute data, and then according to the candidate attribute data, obtain richness parameter and/or the degree of accuracy of the candidate attribute data
Parameter, enabling according to the richness parameter and/or the accuracy parameter, selected from the candidate attribute data to
At least one attribute included in few candidate attribute data, using the objective attribute target attribute data as the POI, can be avoided
In the prior art because the POI detail informations in POI search result contains only caused by the attribute fields of several fixations only
The problem of attribute information indicated by the attribute field of these fixations can be provided to client, so as to improve POI search
Specific aim and validity.
【Brief description of the drawings】
Technical scheme in order to illustrate the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
In required for the accompanying drawing that uses be briefly described, it should be apparent that, drawings in the following description are some realities of the present invention
Example is applied, for those of ordinary skill in the art, without having to pay creative labor, can also be attached according to these
Figure obtains other accompanying drawings.
The schematic flow sheet of the processing method of the attribute data for the POI that Fig. 1 provides for one embodiment of the invention；
The structural representation of the processing unit of the attribute data for the POI that Fig. 2 provides for another embodiment of the present invention；
The structural representation of the processing unit of the attribute data for the POI that Fig. 3 provides for another embodiment of the present invention.
【Embodiment】
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A part of embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
It should be noted that terminal involved in the embodiment of the present invention can include but is not limited to mobile phone, individual digital
Assistant (Personal Digital Assistant, PDA), radio hand-held equipment, wireless networking sheet, PC, portable electricity
Brain, MP3 player, MP4 players etc..
In addition, the terms "and/or", only a kind of incidence relation for describing affiliated partner, represents there may be
Three kinds of relations, for example, A and/or B, can be represented：Individualism A, while there is A and B, these three situations of individualism B.Separately
Outside, character "/" herein, it is a kind of relation of "or" to typically represent forward-backward correlation object.
The schematic flow sheet of the processing method of the attribute data for the POI that Fig. 1 provides for one embodiment of the invention, such as Fig. 1 institutes
Show.
The 101st, the POI of at least one data source offer candidate attribute data are provided.
Wherein, each candidate attribute data can include but is not limited to title, phone, address, official website, label
(tag), the attribute such as price, comment per capita.
102nd, according to the candidate attribute data, richness parameter and/or the degree of accuracy of the candidate attribute data are obtained
Parameter.
103rd, according to the richness parameter and/or the accuracy parameter, selected from the candidate attribute data to
At least one attribute included in few candidate attribute data, using the objective attribute target attribute data as the POI.
It should be noted that 101~103 executive agent can be search engine, in the client that can be located locally,
To carry out off-line search, or it may be located in the server of network side, to carry out on-line search, the present embodiment does not enter to this
Row is limited.
It is understood that the client can be mounted in the application program in terminal, or it can also be and browse
One webpage of device, as long as LBS can be realized, with provide POI search objective reality form can, the present embodiment to this not
It is defined.
So, by obtaining the candidate attribute data for the POI that at least one data source is provided, and then belonged to according to the candidate
Property data, obtain the richness parameter and/or accuracy parameter of the candidate attribute data, enabling according to the richness
Parameter and/or the accuracy parameter, are selected from the candidate attribute data included at least one candidate attribute data
At least one attribute, using the objective attribute target attribute data as the POI, can avoid in the prior art due to POI search result
In POI detail informations contains only and be merely able to caused by the attribute field of several fixations provide these fixations to client
The problem of attribute information indicated by attribute field, so as to improve the specific aim and validity of POI search.
In addition, the technical scheme provided using the present embodiment so that user can have pin according to POI objective attribute target attribute data
The follow-up operation of progress to property, therefore, it is possible to further improve specific aim and validity that POI attribute datas are obtained.
In addition, the technical scheme provided using the present embodiment so that user can have pin according to POI objective attribute target attribute data
The follow-up operation of progress to property, therefore, it is possible to further reduce the invalid selection (point that user is carried out by client
Hit) operation, so as to reduce processing load.
The processing method of existing POI attribute data, POI detail informations contains only the attribute field of several fixations,
Therefore, search engine be merely able to client provide these fixation attribute field indicated by attribute information, so as to result in
The reduction of the specific aim and validity of POI search.
Alternatively, in a possible implementation of the present embodiment, in 102, search engine is according to the candidate
Attribute data, the method for obtaining the richness parameter of the candidate attribute data specifically can be as follows：Search engine specifically can be with
To the candidate attribute data, cutting word processing filters such as (including) stop words processing is carried out, to obtain cutting word result；So
Afterwards, then the richness parameter can be obtained according to the quantity of the cutting word result.
Alternatively, in a possible implementation of the present embodiment, in 102, search engine is according to the candidate
Attribute data, the method for obtaining the accuracy parameter of the candidate attribute data specifically can be as follows：Search engine specifically can be with
Obtain rate of change (diff) value of each attribute included in the candidate attribute data.Wherein, corresponding to each attribute
The computational methods of diff values can determine that the present embodiment is to this without being particularly limited to according to attributive character.Then, then can root
According to the diff values of each attribute, the accuracy parameter is obtained.Wherein, the diff values of each attribute can be relative for each attribute
In the diff values of the corresponding current attribute of the attribute.
If it is understood that attribute is the attribute newly increased, then the diff values of the attribute can be then for marking
The diff values without change are known, for example, diff values are 0.
It should be noted that the accuracy parameter can be understood as the accuracy parameter of each attribute, if for example, attribute
Diff values be less than or equal to the threshold value that pre-sets, the accuracy parameter of the attribute is 0；If the diff values of attribute are more than advance
The threshold value of setting, the accuracy parameter of the attribute is 1.The diff values of attribute are smaller, then can illustrate that the degree of accuracy of the attribute is got over
It is high, then, the possibility that this attribute is selected to objective attribute target attribute data is bigger.Or be also understood that as the candidate
The accuracy parameter of attribute data, for example, according to the diff values of each attribute and the weights of each attribute, obtaining candidate's category
The accuracy parameter of property data.The accuracy parameter of candidate attribute data is bigger, then can illustrate the standard of the candidate attribute data
Exactness is higher, then, the possibility that this candidate attribute data is selected to objective attribute target attribute data is bigger.The present embodiment pair
This is without being particularly limited to.
Specifically, in 103, search engine specifically can according to the richness parameter and/or the accuracy parameter,
Whole attributes included in a candidate attribute data, or one candidate's category of selection are selected from the candidate attribute data
Property data included in part attribute, either select whole attributes included in multiple candidate attribute data or selection
Part attribute included in multiple candidate attribute data, using the objective attribute target attribute data as the POI.
For example, search engine can select described abundant according to the richness parameter from the candidate attribute data
The whole attributes spent included in maximum one or more candidate attribute data, using the objective attribute target attribute data as the POI.
Or, for another example search engine can be according to the accuracy parameters of the candidate attribute data, from candidate category
Whole attributes included in the one or more candidate attribute data of the degree of accuracy highest are selected in property data, to be used as institute
State POI objective attribute target attribute data.
Or, for another example search engine can be according to the accurate of each attribute included in the candidate attribute data
Parameter is spent, selects the accuracy parameter to meet one or more candidate attributes of threshold condition from the candidate attribute data
Part attribute included in data, using the objective attribute target attribute data as the POI, for example, the threshold condition is accurate for selection
Exactness parameter is the attribute included in 0 candidate attribute data, or is the candidate attribute data that accuracy of selection parameter is 1
Included in attribute, etc. the present embodiment is to this without being particularly limited to.
It is understood that search engine can be combined with the method in previous example, according to the richness parameter and
The accuracy parameter of the candidate attribute data, or according to included in the richness parameter and the candidate attribute data
Each attribute accuracy parameter, selected from the candidate attribute data included at least one candidate attribute data
At least one attribute, using the objective attribute target attribute data as the POI, is described in detail the correlation that may refer in foregoing several examples
Content, here is omitted.
Alternatively, in a possible implementation of the present embodiment, after 103, search engine can also enter one
Step receives the searching keyword that client is sent.Then, the search engine so that then can according to the searching keyword,
It is fitted on the POI corresponding with the searching keyword.Then, the search engine is obtained and the POI according to the POI
Corresponding objective attribute target attribute data, and the objective attribute target attribute data are sent to the client, using as in POI search result
POI detail informations.So, because the POI detail informations in POI search result can include unfixed some attribute words
Section, therefore, it is possible to provide the attribute information indicated by these unfixed some attribute fields to client, so as to improve
The specific aim and validity of POI search.
Specifically, after search engine obtains the objective attribute target attribute data corresponding with the POI, the search engine
The corresponding trade information of the searching keyword can also be obtained further according to the searching keyword, for example, for identifying
The trade information of hotel, food and drink and cinema etc..Then, the search engine and then then can be according to trade information and data group
The corresponding relation of template is knitted, data organization template corresponding with the trade information is obtained.Then, the search engine then can be with
Using the data organization template, the objective attribute target attribute data are organized, so that the search engine performs subsequent operation, i.e., to institute
State the objective attribute target attribute data after client transmission tissue.
Alternatively, in a possible implementation of the present embodiment, in 101, what the search engine was obtained
Classification information is can further include in the candidate attribute data, the classification information is to identify the candidate attribute number
According to affiliated data category, for example, hotel, food and drink and cinema etc..
Specifically, the search engine can also be obtained further according to the corresponding relation of trade information and classification information
The classification information corresponding with the trade information.Then, the search engine so that then can according to the classification information,
Obtain the objective attribute target attribute data corresponding with the classification information.
The technical scheme provided using the present invention, due to POI attribute data, can be belonging respectively to multiple data categories,
The attribute data of each data category, can correspond to a kind of data organization template, so, for same POI, can have a variety of
The attribute data of data category, every kind of attribute data can apply different data organization templates.So, search engine can profit
With different data organization templates, corresponding attribute data is organized, so as to improve the flexibility of POI search.
To cause method provided in an embodiment of the present invention clearer, below by with this POI of riverside outside the city attribute number
According to as an example.
Assuming that search engine has been able to provide at present this POI of a riverside outside the city attribute data, each attribute
It is as follows：
Title：Riverside outside the city；
Address：No. 3 outside Xizhimen；
Phone：010-666666；
Official website：http://www.jiangbianchengwai.com；
Price (member) per capita：33；
Classification：Cater (food and drink).
Method one：Search engine is according to the richness parameter of this POI obtained some candidate attribute data, selection
All or part of candidate attribute data that partner A is provided as data source, using the objective attribute target attribute data as the POI.Cooperation
Each attribute included in candidate attribute data that square A is provided is as follows：
Title：Riverside outside the city；
Address：No. 4 outside Xizhimen；
Phone：010-666666,010-555555；
Official website：http://www.jiangbianchengwai.com；
Price (member) per capita：450；
Classification：Cater (food and drink).
Method two：Search engine is according to the richness parameters of this POI obtained some candidate attribute data, tentatively
It is determined that all or part of candidate attribute data that partner A is provided as data source can be selected, using the target category as the POI
Property data.Each attribute included in candidate attribute data that partner A is provided is as follows：
Title：Riverside outside the city；
Address：No. 4 outside Xizhimen；
Phone：010-666666,010-555555；
Official website：http://www.jiangbianchengwai.com；
Price (member) per capita：450；
Classification：Cater (food and drink).
Now, search engine can calculate each attribute using the various computational methods provided in prior art
Diff values, result of calculation is as follows：
Diff (title)=0；
Diff (address)=1；
Diff (phone)=0.5；
Diff (official website)=0；
Diff (price per capita)=12.6；
Diff (classification)=0；
Then, search engine can obtain the accuracy parameter of each attribute according to the diff values of each attribute.
Specifically, diff values are less than or equal to the threshold value pre-set, then accuracy parameter is 0；Diff values are more than advance
The threshold value of setting, then accuracy parameter is 1.Wherein, accuracy parameter is that the 0 expression degree of accuracy is higher, can be selected；The degree of accuracy is joined
Number represents that the degree of accuracy is relatively low for 1, it is not possible to select.For example, the accuracy parameter of each attribute is as follows：
Accuracy parameter (title)=0；
Accuracy parameter (address)=1；
Accuracy parameter (phone)=0；
Accuracy parameter (official website)=0；
Accuracy parameter (price per capita)=1；
Accuracy parameter (classification)=0；
So, search engine then can be every according to included in partner A this POI provided candidate attribute data
The accuracy parameter of individual attribute, selected from the candidate attribute data accuracy parameter be 04 attributes, i.e., title,
Phone, official website and classification, using the objective attribute target attribute data as this POI of riverside outside the city.
Method three：Search engine is according to the richness parameters of this POI obtained some candidate attribute data, tentatively
It is determined that all or part of candidate attribute data that partner A is provided as data source can be selected, using the target category as the POI
Property data.Each attribute included in candidate attribute data that partner A is provided is as follows：
Title：Riverside outside the city；
Address：No. 4 outside Xizhimen；
Phone：010-666666,010-555555；
Official website：http://www.jiangbianchengwai.com；
Price (member) per capita：450；
Classification：Cater (food and drink).
Now, search engine can calculate each attribute using the various computational methods provided in prior art
Diff values, result of calculation is as follows：
Diff (title)=0；
Diff (address)=1；
Diff (phone)=0.5；
Diff (official website)=0；
Diff (price per capita)=12.6；
Diff (classification)=0；
Then, search engine can obtain the accuracy parameter of the candidate attribute data according to the diff values of each attribute.
Specifically, search engine specifically can obtain described according to the diff values and the weights of each attribute of each attribute
The accuracy parameter of candidate attribute data.For example,
Accuracy parameter (candidate attribute data)=diff (title) * k1+diff (address) * k2+diff (phone) * k3+
Diff (official website) * k4+diff (price per capita) * k5+diff (classification) * k6
Wherein, k1~k6 value POI significance level can be manually specified according to the attribute by operating personnel.
The accuracy parameter of candidate attribute data is bigger, then can illustrate that the degree of accuracy of the candidate attribute data is higher, that
, the possibility that this candidate attribute data is selected to objective attribute target attribute data is bigger.
In the present embodiment, by obtaining the candidate attribute data for the POI that at least one data source is provided, and then according to described
Candidate attribute data, obtain the richness parameter and/or accuracy parameter of the candidate attribute data, enabling according to described
Richness parameter and/or the accuracy parameter, are selected from the candidate attribute data at least one candidate attribute data
Comprising at least one attribute, using the objective attribute target attribute data as the POI, can avoid in the prior art because POI is searched
POI detail informations in hitch fruit are merely able to provide these to client caused by contains only the attribute field of several fixations
The problem of attribute information indicated by fixed attribute field, so as to improve the specific aim and validity of POI search.
In addition, the technical scheme provided using the present embodiment so that user can have pin according to POI objective attribute target attribute data
The follow-up operation of progress to property, therefore, it is possible to further improve specific aim and validity that POI attribute datas are obtained.
In addition, the technical scheme provided using the present embodiment so that user can have pin according to POI objective attribute target attribute data
The follow-up operation of progress to property, therefore, it is possible to further reduce the invalid selection (point that user is carried out by client
Hit) operation, so as to reduce processing load.
It should be noted that for foregoing each method embodiment, in order to be briefly described, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should know, the present invention is not limited by described sequence of movement because
According to the present invention, some steps can be carried out sequentially or simultaneously using other.Secondly, those skilled in the art should also know
Know, embodiment described in this description belongs to preferred embodiment, involved action and module is not necessarily of the invention
It is necessary.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not have the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiment.
The structural representation of the processing unit of the attribute data for the POI that Fig. 2 provides for another embodiment of the present invention, such as Fig. 2
It is shown.The processing unit of the POI of the present embodiment attribute data can include obtaining unit 21 and selecting unit 22.Wherein, obtain
Unit 21 is obtained, the candidate attribute data of the POI for obtaining the offer of at least one data source；The obtaining unit 21, is additionally operable to
According to the candidate attribute data, the richness parameter and/or accuracy parameter of the candidate attribute data are obtained；Selecting unit
22, for according to the richness parameter and/or the accuracy parameter, at least one to be selected from the candidate attribute data
At least one attribute included in candidate attribute data, using the objective attribute target attribute data as the POI.
Wherein, each candidate attribute data can include but is not limited to title, phone, address, official website, label
(tag), the attribute such as price, comment per capita.
It should be noted that during the device that the present embodiment is provided can be search engine, the client that can be located locally,
To carry out off-line search, or it may be located in the server of network side, to carry out on-line search, the present embodiment does not enter to this
Row is limited.
It is understood that the client can be mounted in the application program in terminal, or it can also be and browse
One webpage of device, as long as LBS can be realized, with provide POI search objective reality form can, the present embodiment to this not
It is defined.
So, the candidate attribute data for the POI that at least one data source is provided are obtained by obtaining unit, and then according to institute
Candidate attribute data are stated, the richness parameter and/or accuracy parameter of the candidate attribute data are obtained so that selecting unit energy
Enough according to the richness parameter and/or the accuracy parameter, at least one candidate is selected from the candidate attribute data
At least one attribute included in attribute data, using the objective attribute target attribute data as the POI, can be avoided in the prior art
It is merely able to caused by contains only the attribute field of several fixations due to the POI detail informations in POI search result to client
The problem of end provides the attribute information indicated by the attribute field that these are fixed, so as to improve the specific aim of POI search and have
Effect property.
In addition, the technical scheme provided using the present embodiment so that user can have pin according to POI objective attribute target attribute data
The follow-up operation of progress to property, therefore, it is possible to further improve specific aim and validity that POI attribute datas are obtained.
In addition, the technical scheme provided using the present embodiment so that user can have pin according to POI objective attribute target attribute data
The follow-up operation of progress to property, therefore, it is possible to further reduce the invalid selection (point that user is carried out by client
Hit) operation, so as to reduce processing load.
The processing unit of existing POI attribute data, POI detail informations contains only the attribute field of several fixations,
Therefore, search engine be merely able to client provide these fixation attribute field indicated by attribute information, so as to result in
The reduction of the specific aim and validity of POI search.
Alternatively, in a possible implementation of the present embodiment, the obtaining unit 21 specifically can be used for pair
The candidate attribute data, carry out cutting word processing filters such as (including) stop words processing, to obtain cutting word result；And root
According to the quantity of the cutting word result, the richness parameter is obtained.
Alternatively, in a possible implementation of the present embodiment, the obtaining unit 21 specifically can be used for obtaining
The diff values of each attribute included in the candidate attribute data are obtained, wherein, the meter of the diff values corresponding to each attribute
Calculation method can determine that the present embodiment is to this without being particularly limited to according to attributive character；And according to the diff of each attribute
Value, obtains the accuracy parameter, wherein, the diff values of each attribute can be worked as each attribute is corresponding relative to the attribute
The diff values of preceding attribute.
If it is understood that attribute is the attribute newly increased, then the diff values of the attribute can be then for marking
The diff values without change are known, for example, diff values are 0.
It should be noted that the accuracy parameter can be understood as the accuracy parameter of each attribute, if for example, attribute
Diff values be less than or equal to the threshold value that pre-sets, the accuracy parameter of the attribute is 0；If the diff values of attribute are more than advance
The threshold value of setting, the accuracy parameter of the attribute is 1.The diff values of attribute are smaller, then can illustrate that the degree of accuracy of the attribute is got over
It is high, then, the possibility that this attribute is selected to objective attribute target attribute data is bigger.Or be also understood that as the candidate
The accuracy parameter of attribute data, for example, according to the diff values of each attribute and the weights of each attribute, obtaining candidate's category
The accuracy parameter of property data.The accuracy parameter of candidate attribute data is bigger, then can illustrate the standard of the candidate attribute data
Exactness is higher, then, the possibility that this candidate attribute data is selected to objective attribute target attribute data is bigger.The present embodiment pair
This is without being particularly limited to.
Specifically, the selecting unit 22 specifically can according to the richness parameter and/or the accuracy parameter, from
Whole attributes included in a candidate attribute data, or one candidate attribute of selection are selected in the candidate attribute data
Part attribute included in data, either selects whole attributes included in multiple candidate attribute data or selects many
Part attribute included in individual candidate attribute data, using the objective attribute target attribute data as the POI.
For example, the selecting unit 22 can select institute according to the richness parameter from the candidate attribute data
Whole attributes included in the maximum one or more candidate attribute data of richness are stated, using the target category as the POI
Property data.
Or, for another example the selecting unit 22 can be according to the accuracy parameters of the candidate attribute data, from described
Whole attributes included in the one or more candidate attribute data of the degree of accuracy highest are selected in candidate attribute data, with
It is used as the objective attribute target attribute data of the POI.
Or, for another example the selecting unit 22 can be according to each attribute included in the candidate attribute data
Accuracy parameter, select the accuracy parameter to meet one or more times of threshold condition from the candidate attribute data
The part attribute included in attribute data is selected, using the objective attribute target attribute data as the POI, for example, the threshold condition is
Accuracy of selection parameter is the attribute included in 0 candidate attribute data, or is candidate's category that accuracy of selection parameter is 1
Attribute included in property data, etc. the present embodiment is to this without being particularly limited to.
It is understood that the selecting unit 22 can be combined with the method in previous example, according to the richness
The accuracy parameter of parameter and the candidate attribute data, or according in the richness parameter and the candidate attribute data
Comprising each attribute accuracy parameter, institute at least one candidate attribute data is selected from the candidate attribute data
Comprising at least one attribute, using the objective attribute target attribute data as the POI, detailed description may refer in foregoing several examples
Related content, here is omitted.
Alternatively, in a possible implementation of the present embodiment, as shown in figure 3, the POI that the present embodiment is provided
The processing unit of attribute data can further include receiving unit 31, search unit 32 and transmitting element 33.
Wherein, the receiving unit 31, the searching keyword for receiving client transmission；The search unit 32, is used
According to the searching keyword, matching the POI corresponding with the searching keyword.
Correspondingly, the obtaining unit 21, can also be further used for, according to the POI, obtaining corresponding with the POI
The objective attribute target attribute data.
The transmitting element 33, for sending the objective attribute target attribute data to the client.
So, because the POI detail informations in POI search result can include unfixed some attribute fields, therefore,
The attribute information indicated by these unfixed some attribute fields can be provided to client, so as to improve POI search
Specific aim and validity.
Specifically, the obtaining unit 21, specifically can be used for according to the searching keyword, obtain the inquiry crucial
The corresponding trade information of word, for example, the trade information for identifying hotel, food and drink and cinema etc.；According to trade information and number
According to the corresponding relation of tissue templates, data organization template corresponding with the trade information is obtained；And utilize the data group
Template is knitted, the objective attribute target attribute data are organized, so that transmitting element 33 performs subsequent operation, i.e., tissue is sent to the client
The objective attribute target attribute data afterwards.
Alternatively, in a possible implementation of the present embodiment, the time that the obtaining unit 21 is obtained
Classification information can also further be included by selecting in attribute data, the classification information is to identify belonging to the candidate attribute data
Data category, for example, hotel, food and drink and cinema etc..
Specifically, the obtaining unit 21, can also be further used for closing according to trade information is corresponding with classification information
System, obtains the classification information corresponding with the trade information；And according to the classification information, obtain and believe with the classification
Cease the corresponding objective attribute target attribute data.
The technical scheme provided using the present invention, due to POI attribute data, can be belonging respectively to multiple data categories,
The attribute data of each data category, can correspond to a kind of data organization template, so, for same POI, can have a variety of
The attribute data of data category, every kind of attribute data can apply different data organization templates.So, search engine can profit
With different data organization templates, corresponding attribute data is organized, so as to improve the flexibility of POI search.
To cause method provided in an embodiment of the present invention clearer, below by with this POI of riverside outside the city attribute number
According to as an example.
Assuming that search engine has been able to provide at present this POI of a riverside outside the city attribute data, each attribute
It is as follows：
Title：Riverside outside the city；
Address：No. 3 outside Xizhimen；
Phone：010-666666；
Official website：http://www.jiangbianchengwai.com；
Price (member) per capita：33；
Classification：Cater (food and drink).
Method one：Selecting unit is according to the richness parameter of this POI obtained some candidate attribute data, selection
All or part of candidate attribute data that partner A is provided as data source, using the objective attribute target attribute data as the POI.Cooperation
Each attribute included in candidate attribute data that square A is provided is as follows：
Title：Riverside outside the city；
Address：No. 4 outside Xizhimen；
Phone：010-666666,010-555555；
Official website：http://www.jiangbianchengwai.com；
Price (member) per capita：450；
Classification：Cater (food and drink).
Method two：Selecting unit is according to the richness parameters of this POI obtained some candidate attribute data, tentatively
It is determined that all or part of candidate attribute data that partner A is provided as data source can be selected, using the target category as the POI
Property data.Each attribute included in candidate attribute data that partner A is provided is as follows：
Title：Riverside outside the city；
Address：No. 4 outside Xizhimen；
Phone：010-666666,010-555555；
Official website：http://www.jiangbianchengwai.com；
Price (member) per capita：450；
Classification：Cater (food and drink).
Now, obtaining unit can calculate each attribute using the various computational methods provided in prior art
Diff values, result of calculation is as follows：
Diff (title)=0；
Diff (address)=1；
Diff (phone)=0.5；
Diff (official website)=0；
Diff (price per capita)=12.6；
Diff (classification)=0；
Then, obtaining unit can obtain the accuracy parameter of each attribute according to the diff values of each attribute.
Specifically, diff values are less than or equal to the threshold value pre-set, then accuracy parameter is 0；Diff values are more than advance
The threshold value of setting, then accuracy parameter is 1.Wherein, accuracy parameter is that the 0 expression degree of accuracy is higher, can be selected；The degree of accuracy is joined
Number represents that the degree of accuracy is relatively low for 1, it is not possible to select.For example, the accuracy parameter of each attribute is as follows：
Accuracy parameter (title)=0；
Accuracy parameter (address)=1；
Accuracy parameter (phone)=0；
Accuracy parameter (official website)=0；
Accuracy parameter (price per capita)=1；
Accuracy parameter (classification)=0；
So, selecting unit then can be every according to included in partner A this POI provided candidate attribute data
The accuracy parameter of individual attribute, selected from the candidate attribute data accuracy parameter be 04 attributes, i.e., title,
Phone, official website and classification, using the objective attribute target attribute data as this POI of riverside outside the city.
Method three：Selecting unit is according to the richness parameters of this POI obtained some candidate attribute data, tentatively
It is determined that all or part of candidate attribute data that partner A is provided as data source can be selected, using the target category as the POI
Property data.Each attribute included in candidate attribute data that partner A is provided is as follows：
Title：Riverside outside the city；
Address：No. 4 outside Xizhimen；
Phone：010-666666,010-555555；
Official website：http://www.jiangbianchengwai.com；
Price (member) per capita：450；
Classification：Cater (food and drink).
Now, obtaining unit can calculate each attribute using the various computational methods provided in prior art
Diff values, result of calculation is as follows：
Diff (title)=0；
Diff (address)=1；
Diff (phone)=0.5；
Diff (official website)=0；
Diff (price per capita)=12.6；
Diff (classification)=0；
Then, obtaining unit can obtain the accuracy parameter of the candidate attribute data according to the diff values of each attribute.
Specifically, obtaining unit specifically can obtain described according to the diff values and the weights of each attribute of each attribute
The accuracy parameter of candidate attribute data.For example,
Accuracy parameter (candidate attribute data)=diff (title) * k1+diff (address) * k2+diff (phone) * k3+
Diff (official website) * k4+diff (price per capita) * k5+diff (classification) * k6
Wherein, k1~k6 value POI significance level can be manually specified according to the attribute by operating personnel.
The accuracy parameter of candidate attribute data is bigger, then can illustrate that the degree of accuracy of the candidate attribute data is higher, that
, selecting unit select this candidate attribute data turn into objective attribute target attribute data possibility it is bigger.
In the present embodiment, the candidate attribute data for the POI that at least one data source is provided are obtained by obtaining unit, and then
According to the candidate attribute data, the richness parameter and/or accuracy parameter of the candidate attribute data are obtained so that selection
Unit can select at least one according to the richness parameter and/or the accuracy parameter from the candidate attribute data
At least one attribute included in individual candidate attribute data, using the objective attribute target attribute data as the POI, can be avoided existing
It is merely able to caused by contains only the attribute field of several fixations due to the POI detail informations in POI search result in technology
The problem of attribute information indicated by the attribute field of these fixations being provided to client, so as to improve being directed to for POI search
Property and validity.
In addition, the technical scheme provided using the present embodiment so that user can have pin according to POI objective attribute target attribute data
The follow-up operation of progress to property, therefore, it is possible to further improve specific aim and validity that POI attribute datas are obtained.
In addition, the technical scheme provided using the present embodiment so that user can have pin according to POI objective attribute target attribute data
The follow-up operation of progress to property, therefore, it is possible to further reduce the invalid selection (point that user is carried out by client
Hit) operation, so as to reduce processing load.
It is apparent to those skilled in the art that, for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.
In several embodiments provided by the present invention, it should be understood that disclosed system, apparatus and method can be with
Realize by another way.For example, device embodiment described above is only schematical, for example, the unit
Divide, only a kind of division of logic function there can be other dividing mode when actually realizing, such as multiple units or component
Another system can be combined or be desirably integrated into, or some features can be ignored, or do not perform.It is another, it is shown or
The coupling each other discussed or direct-coupling or communication connection can be the indirect couplings of device or unit by some interfaces
Close or communicate to connect, can be electrical, machinery or other forms.
The unit illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, it would however also be possible to employ hardware adds the form of SFU software functional unit to realize.
The above-mentioned integrated unit realized in the form of SFU software functional unit, can be stored in an embodied on computer readable and deposit
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are to cause a computer
Equipment (can be personal computer, server, or network equipment etc.) or processor (processor) perform the present invention each
The part steps of embodiment methods described.And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (Read-
Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. it is various
Can be with the medium of store program codes.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
The present invention is described in detail with reference to the foregoing embodiments, it will be understood by those within the art that：It still may be used
To be modified to the technical scheme described in foregoing embodiments, or equivalent substitution is carried out to which part technical characteristic；
And these modification or replace, do not make appropriate technical solution essence depart from various embodiments of the present invention technical scheme spirit and
Scope.
Claims (10)
1. a kind of processing method of the attribute data of point of interest, it is characterised in that including：
The candidate attribute data of the point of interest of at least one data source offer are provided；
According to the candidate attribute data, the richness parameter and/or accuracy parameter of the candidate attribute data are obtained；
According to the richness parameter and/or the accuracy parameter, at least one is selected to wait from the candidate attribute data
At least one attribute included in attribute data is selected, using the objective attribute target attribute data as the point of interest；Wherein,
It is described to obtain the richness parameter of the candidate attribute data according to the candidate attribute data, including：
To the candidate attribute data, cutting word processing is carried out, to obtain cutting word result；
According to the quantity of the cutting word result, the richness parameter is obtained；
It is described to obtain the accuracy parameter of the candidate attribute data according to the candidate attribute data, including：
Obtain the rate of change value of each attribute included in the candidate attribute data；
According to the rate of change value of each attribute, the accuracy parameter is obtained.
2. according to the method described in claim 1, it is characterised in that described according to the richness parameter and/or described accurate
Parameter is spent, at least one attribute included at least one candidate attribute data is selected from the candidate attribute data, with
After the objective attribute target attribute data of the point of interest, in addition to：
Receive the searching keyword that client is sent；
According to the searching keyword, the point of interest corresponding with the searching keyword is matched；
According to the point of interest, the objective attribute target attribute data corresponding with the point of interest are obtained；
The objective attribute target attribute data are sent to the client.
3. method according to claim 2, it is characterised in that described according to the point of interest, is obtained and the point of interest
After the corresponding objective attribute target attribute data, before the objective attribute target attribute data to client transmission, in addition to：
According to the searching keyword, the corresponding trade information of the searching keyword is obtained；
According to trade information and the corresponding relation of data organization template, data tissue mould corresponding with the trade information is obtained
Plate；
Using the data organization template, the objective attribute target attribute data are organized, after sending tissue to the client
The objective attribute target attribute data.
4. method according to claim 3, it is characterised in that classification information, institute are also included in the candidate attribute data
Classification information is stated to identify the data category belonging to the candidate attribute data.
5. method according to claim 4, it is characterised in that described to utilize the data organization template, organizes the mesh
Before mark attribute data, in addition to：
According to the corresponding relation of trade information and classification information, the classification information corresponding with the trade information is obtained；
According to the classification information, the objective attribute target attribute data corresponding with the classification information are obtained.
6. a kind of processing unit of the attribute data of point of interest, it is characterised in that including：
Obtaining unit, the candidate attribute data of the point of interest for obtaining the offer of at least one data source；
The obtaining unit, is additionally operable to obtain the richness parameter of the candidate attribute data according to the candidate attribute data
And/or accuracy parameter；
Selecting unit, for according to the richness parameter and/or the accuracy parameter, being selected from the candidate attribute data
At least one attribute included at least one candidate attribute data is selected, using the objective attribute target attribute data as the point of interest；
Wherein,
The obtaining unit, specifically for
To the candidate attribute data, cutting word processing is carried out, to obtain cutting word result；And
According to the quantity of the cutting word result, the richness parameter is obtained；
The obtaining unit, specifically for
Obtain the rate of change value of each attribute included in the candidate attribute data；And
According to the rate of change value of each attribute, the accuracy parameter is obtained.
7. device according to claim 6, it is characterised in that described device also includes：
Receiving unit, the searching keyword for receiving client transmission；
Search unit, for according to the searching keyword, matching the point of interest corresponding with the searching keyword；
The obtaining unit, is additionally operable to, according to the point of interest, obtain the objective attribute target attribute data corresponding with the point of interest；
Described device also includes：
Transmitting element, for sending the objective attribute target attribute data to the client.
8. device according to claim 7, it is characterised in that the obtaining unit, specifically for
According to the searching keyword, the corresponding trade information of the searching keyword is obtained；
According to trade information and the corresponding relation of data organization template, data tissue mould corresponding with the trade information is obtained
Plate；And
Using the data organization template, the objective attribute target attribute data are organized, so that the transmitting element is sent out to the client
Send the objective attribute target attribute data after tissue.
9. device according to claim 8, it is characterised in that classification information, institute are also included in the candidate attribute data
Classification information is stated to identify the data category belonging to the candidate attribute data.
10. device according to claim 9, it is characterised in that the obtaining unit, is additionally operable to
According to the corresponding relation of trade information and classification information, the classification information corresponding with the trade information is obtained；With
And
According to the classification information, the objective attribute target attribute data corresponding with the classification information are obtained.
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| CN105574019B (en) * | 2014-10-14 | 2020-07-31 | 阿里巴巴（中国）有限公司 | Query parameter processing method and device |
| CN106126394B (en) * | 2016-08-22 | 2019-02-19 | 浪潮(北京)电子信息产业有限公司 | The method and system of out of band supervision management acquisition PCIE device assets information |
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| CN102142003A (en) * | 2010-07-30 | 2011-08-03 | 华为软件技术有限公司 | Method and device for providing point of interest information |
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| CN102147795A (en) * | 2010-02-05 | 2011-08-10 | 北京四维图新科技股份有限公司 | Method and device for searching points of interest as well as navigation system |
| CN102456055B (en) * | 2010-10-28 | 2014-11-12 | 腾讯科技（深圳）有限公司 | Method and device for retrieving interest points |
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| CN102142003A (en) * | 2010-07-30 | 2011-08-03 | 华为软件技术有限公司 | Method and device for providing point of interest information |
| CN102193999A (en) * | 2011-05-09 | 2011-09-21 | 北京百度网讯科技有限公司 | Method and device for sequencing search results |
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