CN103473290A - Processing method and device for attribute data of POIs - Google Patents
Processing method and device for attribute data of POIs Download PDFInfo
- Publication number
- CN103473290A CN103473290A CN2013103898619A CN201310389861A CN103473290A CN 103473290 A CN103473290 A CN 103473290A CN 2013103898619 A CN2013103898619 A CN 2013103898619A CN 201310389861 A CN201310389861 A CN 201310389861A CN 103473290 A CN103473290 A CN 103473290A
- Authority
- CN
- China
- Prior art keywords
- attribute data
- attribute
- data
- poi
- candidate
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
An embodiment of the invention provides a processing method and device for attribute data of POIs. The method includes: acquiring candidate attribute data of POIs provided by at least one data source, acquiring richness parameter and/or accuracy parameter of the attribute data according to the candidate attribute data, and selecting at least one attribute included in at least one piece from the candidate attribute data according to the richness parameter and/or accuracy parameter, and using the attributes as target attribute data of the POIs. The method and device can solve the problem that since POI detailed information in POI search results includes only several fixed attribute fields in the prior art, only attribute information indicated by the fixed attribute fields can be provided for a client; accordingly, POI search can be more targeted and effective.
Description
[technical field]
The present invention relates to location-based service (Location Based Service, LBS) technology, relate in particular to disposal route and the device of the attribute data of a kind of point of interest (Point of Interest, POI).
[background technology]
Along with the development of the communication technology, increasing function that terminal is integrated, comprised more and more corresponding application programs thereby make in the systemic-function list of terminal.Can relate to some location-based services (Location Based Service, LBS) in some application program, weighed position service again, for example, Baidu's parameter map etc.In existing LBS, client can be by server, sending searching request, to obtain a plurality of points of interest (Point of Interest, POI) Search Results.In the POI Search Results, POI details packets of information is containing several fixing attribute fields, for example, and the elementary fields such as title, phone and address, and label, the extended field such as price, comment per capita,
Yet, because the POI details information in the POI Search Results has only comprised several fixing attribute fields, therefore, being merely able to provides these fixing attribute fields indicated attribute information to client, thereby has caused the specific aim of POI search and the reduction of validity.
[summary of the invention]
Many aspects of the present invention provide disposal route and the device of the attribute data of a kind of POI, in order to improve specific aim and the validity of POI search.
An aspect of of the present present invention, provide the disposal route of the attribute data of a kind of POI, comprising:
Obtain the candidate attribute data of the POI that at least one data source provides;
According to described candidate attribute data, obtain richness parameter and/or the accuracy parameter of described candidate attribute data;
According to described richness parameter and/or described accuracy parameter, select at least one attribute comprised at least one candidate attribute data from described candidate attribute data, the objective attribute target attribute data of usining as described POI.
Aspect as above and arbitrary possible implementation, further provide a kind of implementation, described according to described candidate attribute data, obtains the richness parameter of described candidate attribute data, comprising:
To described candidate attribute data, cut word and processed, cut the word result with acquisition;
According to described quantity of cutting the word result, obtain described richness parameter.
Aspect as above and arbitrary possible implementation, further provide a kind of implementation, described according to described candidate attribute data, obtains the accuracy parameter of described candidate attribute data, comprising:
Obtain the diff value of each attribute comprised in described candidate attribute data;
Diff value according to each attribute, obtain described accuracy parameter.
Aspect as above and arbitrary possible implementation, a kind of implementation further is provided, described according to described richness parameter and/or described accuracy parameter, select at least one attribute comprised at least one candidate attribute data from described candidate attribute data, after the objective attribute target attribute data of usining as described POI, also comprise:
Receive the searching keyword that client sends;
According to described searching keyword, match the described POI corresponding with described searching keyword;
According to described POI, obtain the described objective attribute target attribute data corresponding with described POI;
Send described objective attribute target attribute data to described client.
Aspect as above and arbitrary possible implementation, a kind of implementation further is provided, described according to described POI, after obtaining the described objective attribute target attribute data corresponding with described POI, described send described objective attribute target attribute data to described client before, also comprise:
According to described searching keyword, obtain the trade information that described searching keyword is corresponding;
According to the corresponding relation of trade information and Organization of Data template, obtain the Organization of Data template corresponding with described trade information;
Utilize described Organization of Data template, organize described objective attribute target attribute data, so that the described objective attribute target attribute data after described client sends tissue.
Aspect as above and arbitrary possible implementation, further provide a kind of implementation, in described candidate attribute data, also comprises classification information, and described classification information is in order to identify the data category under described candidate attribute data.
Aspect as above and arbitrary possible implementation, further provide a kind of implementation, describedly utilizes described Organization of Data template, before organizing described objective attribute target attribute data, also comprises:
According to the corresponding relation of trade information and classification information, obtain the described classification information corresponding with described trade information;
According to described classification information, obtain the described objective attribute target attribute data corresponding with described classification information.
Another aspect of the present invention, provide the treating apparatus of the attribute data of a kind of POI, comprising:
Obtain unit, for obtaining the candidate attribute data of the POI that at least one data source provides;
Described acquisition unit, also, for according to described candidate attribute data, obtain richness parameter and/or the accuracy parameter of described candidate attribute data;
Selected cell for according to described richness parameter and/or described accuracy parameter, is selected at least one attribute comprised at least one candidate attribute data from described candidate attribute data, the objective attribute target attribute data of usining as described POI.
Aspect as above and arbitrary possible implementation, further provide a kind of implementation, described acquisition unit, specifically for
To described candidate attribute data, cut word and processed, cut the word result with acquisition; And
According to described quantity of cutting the word result, obtain described richness parameter.
Aspect as above and arbitrary possible implementation, further provide a kind of implementation, described acquisition unit, specifically for
Obtain the diff value of each attribute comprised in described candidate attribute data; And
Diff value according to each attribute, obtain described accuracy parameter.
Aspect as above and arbitrary possible implementation, further provide a kind of implementation, and described device also comprises:
Receiving element, the searching keyword sent for receiving client;
Search unit, for according to described searching keyword, match the described POI corresponding with described searching keyword;
Described acquisition unit, also, for according to described POI, obtain the described objective attribute target attribute data corresponding with described POI;
Described device also comprises:
Transmitting element, for sending described objective attribute target attribute data to described client.
Aspect as above and arbitrary possible implementation, further provide a kind of implementation, described acquisition unit, specifically for
According to described searching keyword, obtain the trade information that described searching keyword is corresponding;
According to the corresponding relation of trade information and Organization of Data template, obtain the Organization of Data template corresponding with described trade information; And
Utilize described Organization of Data template, organize described objective attribute target attribute data, so that the described objective attribute target attribute data of described transmitting element after described client sends tissue.
Aspect as above and arbitrary possible implementation, further provide a kind of implementation, in described candidate attribute data, also comprises classification information, and described classification information is in order to identify the data category under described candidate attribute data.
Aspect as above and arbitrary possible implementation, further provide a kind of implementation, described acquisition unit, also for
According to the corresponding relation of trade information and classification information, obtain the described classification information corresponding with described trade information; And
According to described classification information, obtain the described objective attribute target attribute data corresponding with described classification information.
As shown from the above technical solution, the embodiment of the present invention is by the candidate attribute data of the POI that obtains at least one data source and provide, and then according to described candidate attribute data, obtain richness parameter and/or the accuracy parameter of described candidate attribute data, make it possible to according to described richness parameter and/or described accuracy parameter, select at least one attribute comprised at least one candidate attribute data from described candidate attribute data, the objective attribute target attribute data of usining as described POI, can avoid in prior art because the POI details information in the POI Search Results has only comprised the problem that is merely able to provide to client the indicated attribute information of these fixing attribute fields that several fixing attribute fields cause, thereby specific aim and the validity of POI search have been improved.
[accompanying drawing explanation]
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, below will the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain according to these accompanying drawings other accompanying drawing.
The schematic flow sheet of the disposal route of the attribute data of the POI that Fig. 1 provides for one embodiment of the invention;
The structural representation of the treating apparatus of the attribute data of the POI that Fig. 2 provides for another embodiment of the present invention;
The structural representation of the treating apparatus of the attribute data of the POI that Fig. 3 provides for another embodiment of the present invention.
[embodiment]
For the purpose, technical scheme and the advantage that make the embodiment of the present invention clearer, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making under the creative work prerequisite the every other embodiment obtained, belong to the scope of protection of the invention.
It should be noted that, in the embodiment of the present invention, related terminal can include but not limited to mobile phone, personal digital assistant (Personal Digital Assistant, PDA), radio hand-held equipment, wireless Internet access basis, PC, portable computer, MP3 player, MP4 player etc.
In addition, herein term " and/or ", be only a kind of incidence relation of describing affiliated partner, can there be three kinds of relations in expression, for example, A and/or B can mean: individualism A exists A and B, these three kinds of situations of individualism B simultaneously.In addition, the character "/", generally mean that forward-backward correlation is to liking a kind of relation of "or" herein.
The schematic flow sheet of the disposal route of the attribute data of the POI that Fig. 1 provides for one embodiment of the invention, as shown in Figure 1.
101, obtain the candidate attribute data of the POI that at least one data source provides.
Wherein, each described candidate attribute data can include but not limited to title, phone, address, official website, label (tag), the attribute such as price, comment per capita.
102,, according to described candidate attribute data, obtain richness parameter and/or the accuracy parameter of described candidate attribute data.
103,, according to described richness parameter and/or described accuracy parameter, select at least one attribute comprised at least one candidate attribute data from described candidate attribute data, the objective attribute target attribute data of usining as described POI.
It should be noted that, 101～103 executive agent can be search engine, can be arranged in local client, to carry out off-line search, or can also be arranged in the server of network side, and to carry out on-line search, the present embodiment is not limited this.
Be understandable that, described client can be mounted in the application program on terminal, or can also be a webpage of browser, as long as can realize LBS, with outwardness form that POI search is provided can, the present embodiment is not limited this.
Like this, by obtaining the candidate attribute data of the POI that at least one data source provides, and then according to described candidate attribute data, obtain richness parameter and/or the accuracy parameter of described candidate attribute data, make it possible to according to described richness parameter and/or described accuracy parameter, select at least one attribute comprised at least one candidate attribute data from described candidate attribute data, the objective attribute target attribute data of usining as described POI, can avoid in prior art because the POI details information in the POI Search Results has only comprised the problem that is merely able to provide to client the indicated attribute information of these fixing attribute fields that several fixing attribute fields cause, thereby specific aim and the validity of POI search have been improved.
In addition, the technical scheme that adopts the present embodiment to provide, make the user to carry out targetedly follow-up operation according to the objective attribute target attribute data of POI, therefore, can further improve specific aim and validity that the POI attribute data obtains.
In addition, the technical scheme that adopts the present embodiment to provide, make the user to carry out targetedly follow-up operation according to the objective attribute target attribute data of POI, therefore, can further reduce invalid selection (click) operation that the user is undertaken by client, thereby reduced, process load.
The disposal route of the attribute data of existing POI, POI details information has only comprised several fixing attribute fields, therefore, search engine is merely able to provide these fixing attribute fields indicated attribute information to client, thereby has caused the specific aim of POI search and the reduction of validity.
Alternatively, in one of the present embodiment possible implementation, in 102, search engine is according to described candidate attribute data, the method that obtains the richness parameter of described candidate attribute data specifically can be as follows: search engine specifically can be to described candidate attribute data, cut word and processed (comprising the filtration means such as stop words processing), with acquisition, cut the word result; Then, can, according to described quantity of cutting the word result, obtain described richness parameter.
Alternatively, in one of the present embodiment possible implementation, in 102, search engine is according to described candidate attribute data, and the method that obtains the accuracy parameter of described candidate attribute data specifically can be as follows: search engine specifically can obtain rate of change (diff) value of each attribute comprised in described candidate attribute data.Wherein, the computing method of the corresponding diff value of each attribute can be definite according to attributive character, and the present embodiment is not particularly limited this.Then, can, according to the diff value of each attribute, obtain described accuracy parameter.Wherein, the diff value of each attribute can be the diff value of each Attribute Relative current attribute corresponding in this attribute.
Be understandable that, if attribute is the attribute newly increased, the diff value of this attribute can be for not having vicissitudinous diff value for sign so, and for example, the diff value is 0.
It should be noted that, described accuracy parameter can be understood as the accuracy parameter of each attribute, and for example, if the diff value of attribute is less than or equal to the threshold value set in advance, the accuracy parameter of this attribute is 0; If the diff value of attribute is greater than the threshold value set in advance, the accuracy parameter of this attribute is 1.The diff value of attribute is less, can illustrate that the accuracy of this attribute is higher, and so, the possibility that this attribute is selected to the objective attribute target attribute data is just larger.Perhaps it is also understood that the accuracy parameter into described candidate attribute data, for example, according to the diff value of each attribute and the weights of each attribute, obtain the accuracy parameter of described candidate attribute data.The accuracy parameter of candidate attribute data is larger, can illustrate that the accuracy of these candidate attribute data is higher, and so, the possibility that these candidate attribute data are selected to the objective attribute target attribute data is just larger.The present embodiment is not particularly limited this.
Particularly, in 103, search engine specifically can be according to described richness parameter and/or described accuracy parameter, select the whole attributes that comprise in candidate attribute data from described candidate attribute data, perhaps select the part attribute comprised in candidate attribute data, perhaps select the whole attributes that comprise in a plurality of candidate attribute data, or select the part attribute comprised in a plurality of candidate attribute data, the objective attribute target attribute data of usining as described POI.
For example, search engine can be according to described richness parameter, selects the whole attributes that comprise in one or more candidate attribute data of described richness maximum from described candidate attribute data, the objective attribute target attribute data of usining as described POI.
Perhaps, again for example, search engine can be according to the accuracy parameter of described candidate attribute data, selects the whole attributes that comprise in the highest one or more candidate attribute data of described accuracy from described candidate attribute data, the objective attribute target attribute data of usining as described POI.
Perhaps, again for example, search engine can be according to the accuracy parameter of each attribute comprised in described candidate attribute data, from described candidate attribute data, select described accuracy parameter to meet the part attribute comprised in one or more candidate attribute data of threshold condition, the objective attribute target attribute data of usining as described POI, for example, described threshold condition is the attribute comprised in the accuracy of selection parameter candidate attribute data that are 0, the perhaps attribute for comprising in the accuracy of selection parameter candidate attribute data that are 1, Deng, the present embodiment is not particularly limited this.
Be understandable that, search engine can also be in conjunction with the method in previous example, accuracy parameter according to described richness parameter and described candidate attribute data, perhaps according to the accuracy parameter of each attribute comprised in described richness parameter and described candidate attribute data, select at least one attribute comprised at least one candidate attribute data from described candidate attribute data, the objective attribute target attribute data of usining as described POI, detailed description can, referring to the related content in aforementioned several examples, repeat no more herein.
Alternatively, in one of the present embodiment possible implementation, after 103, search engine can also further receive the searching keyword that client sends.Then, described search engine and then can, according to described searching keyword, match the described POI corresponding with described searching keyword.Then, described search engine, according to described POI, obtains the described objective attribute target attribute data corresponding with described POI, and sends described objective attribute target attribute data to described client, usings as the POI details information in the POI Search Results.Like this, because the POI details information in the POI Search Results can comprise unfixed some attribute fields, therefore, can provide these unfixed some attribute fields indicated attribute information to client, thereby improve specific aim and the validity of POI search.
Particularly, after search engine obtains the described objective attribute target attribute data corresponding with described POI, described search engine can also, further according to described searching keyword, obtain the trade information that described searching keyword is corresponding, for example,, for identifying the trade information of hotel, food and drink and cinema etc.Then, described search engine and then can, according to the corresponding relation of trade information and Organization of Data template, obtain the Organization of Data template corresponding with described trade information.Then, described search engine can utilize described Organization of Data template, organizes described objective attribute target attribute data, so that described search engine is carried out subsequent operation, to described client, sends the described objective attribute target attribute data after organizing.
Alternatively, in one of the present embodiment possible implementation, in 101, can further include classification information in the described candidate attribute data that described search engine obtains, described classification information is in order to identify the data category under described candidate attribute data, for example, hotel, food and drink and cinema etc.
Particularly, described search engine can also, further according to the corresponding relation of trade information and classification information, obtain the described classification information corresponding with described trade information.Then, described search engine and then can, according to described classification information, obtain the described objective attribute target attribute data corresponding with described classification information.
Adopt technical scheme provided by the invention, attribute data due to POI, can belong to respectively a plurality of data categories, the attribute data of each data category, can corresponding a kind of Organization of Data template, like this, for same POI, the attribute data that the several data classification can be arranged, every kind of attribute data can be applied different Organization of Data templates.Like this, search engine can utilize different Organization of Data templates, organizes corresponding attribute data, thereby has improved the dirigibility of POI search.
For the method that makes the embodiment of the present invention provide is clearer, below will be with the attribute data of riverside this POI of outside the city as an example.
Suppose that search engine can provide the attribute data of a this POI of outside the city along the river at present, each attribute is as follows:
Title: riverside outside the city;
Address: outside Xizhimen No. 3;
Phone: 010-666666;
Official website: http://www.jiangbianchengwai.com;
Price (unit) per capita: 33;
Classification: the cater(food and drink).
Method one: search engine is according to the richness parameter of some candidate attribute data of this obtained POI, all or part of candidate attribute data of selecting the A of partner to provide as data source, the objective attribute target attribute data of usining as this POI.Each attribute comprised in the candidate attribute data that the A of partner provides is as follows:
Title: riverside outside the city;
Address: outside Xizhimen No. 4;
Phone: 010-666666,010-555555;
Official website: http://www.jiangbianchengwai.com;
Price (unit) per capita: 450;
Classification: the cater(food and drink).
Method two: search engine is according to the richness parameter of some candidate attribute data of this obtained POI, tentatively determines all or part of candidate attribute data that can select the A of partner to provide as data source, the objective attribute target attribute data of usining as this POI.Each attribute comprised in the candidate attribute data that the A of partner provides is as follows:
Title: riverside outside the city;
Address: outside Xizhimen No. 4;
Phone: 010-666666,010-555555;
Official website: http://www.jiangbianchengwai.com;
Price (unit) per capita: 450;
Classification: the cater(food and drink).
Now, search engine can be provided by the various computing method that provide in prior art, calculates the diff value of each attribute, and result of calculation is as follows:
The diff(title)=0;
The diff(address)=1;
The diff(phone)=0.5;
The diff(official website)=0;
The equal price of diff(people)=12.6;
The diff(classification)=0;
Then, search engine, according to the diff value of each attribute, can obtain the accuracy parameter of each attribute.
Particularly, the diff value is less than or equal to the threshold value set in advance, and accuracy parameter is 0; The diff value is greater than the threshold value set in advance, and accuracy parameter is 1.Wherein, accuracy parameter is that 0 expression accuracy is higher, can select; Accuracy parameter is that 1 expression accuracy is lower, cannot 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;
Like this, the accuracy parameter of each attribute comprised in the candidate attribute data of this POI that search engine can provide according to the A of partner, select 4 attributes that described accuracy parameter is 0 from described candidate attribute data, be title, phone, official website and classification, using as the objective attribute target attribute data of this POI of outside the city along the river.
Method three: search engine is according to the richness parameter of some candidate attribute data of this obtained POI, tentatively determines all or part of candidate attribute data that can select the A of partner to provide as data source, the objective attribute target attribute data of usining as this POI.Each attribute comprised in the candidate attribute data that the A of partner provides is as follows:
Title: riverside outside the city;
Address: outside Xizhimen No. 4;
Phone: 010-666666,010-555555;
Official website: http://www.jiangbianchengwai.com;
Price (unit) per capita: 450;
Classification: the cater(food and drink).
Now, search engine can be provided by the various computing method that provide in prior art, calculates the diff value of each attribute, and result of calculation is as follows:
The diff(title)=0;
The diff(address)=1;
The diff(phone)=0.5;
The diff(official website)=0;
The equal price of diff(people)=12.6;
The diff(classification)=0;
Then, search engine, according to the diff value of each attribute, can obtain the accuracy parameter of these candidate attribute data.
Particularly, search engine specifically can, according to the diff value of each attribute and the weights of each attribute, obtain the accuracy parameter of described candidate attribute data.For example,
Accuracy parameter (candidate attribute data)=diff(title) * k1+diff(address) * k2+diff(phone) * k3+diff(official website) the equal price of * k4+diff(people) * k5+diff(classification) * k6
Wherein, the value of k1～k6 can manually be specified the significance level of POI according to this attribute by operating personnel.
The accuracy parameter of candidate attribute data is larger, can illustrate that the accuracy of these candidate attribute data is higher, and so, the possibility that these candidate attribute data are selected to the objective attribute target attribute data is just larger.
In the present embodiment, by obtaining the candidate attribute data of the POI that at least one data source provides, and then according to described candidate attribute data, obtain richness parameter and/or the accuracy parameter of described candidate attribute data, make it possible to according to described richness parameter and/or described accuracy parameter, select at least one attribute comprised at least one candidate attribute data from described candidate attribute data, the objective attribute target attribute data of usining as described POI, can avoid in prior art because the POI details information in the POI Search Results has only comprised the problem that is merely able to provide to client the indicated attribute information of these fixing attribute fields that several fixing attribute fields cause, thereby specific aim and the validity of POI search have been improved.
In addition, the technical scheme that adopts the present embodiment to provide, make the user to carry out targetedly follow-up operation according to the objective attribute target attribute data of POI, therefore, can further improve specific aim and validity that the POI attribute data obtains.
In addition, the technical scheme that adopts the present embodiment to provide, make the user to carry out targetedly follow-up operation according to the objective attribute target attribute data of POI, therefore, can further reduce invalid selection (click) operation that the user is undertaken by client, thereby reduced, process load.
It should be noted that, for aforesaid each embodiment of the method, for simple description, therefore it all is expressed as to a series of combination of actions, but those skilled in the art should know, the present invention is not subject to the restriction of described sequence of movement, because according to the present invention, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in instructions all belongs to preferred embodiment, and related action and module might not be that the present invention is necessary.
In the above-described embodiments, the description of each embodiment is all emphasized particularly on different fields, there is no the part described in detail in certain embodiment, can be referring to the associated description of other embodiment.
The structural representation of the treating apparatus of the attribute data of the POI that Fig. 2 provides for another embodiment of the present invention, as shown in Figure 2.The treating apparatus of the attribute data of the POI of the present embodiment can comprise acquisition unit 21 and selected cell 22.Wherein, obtain unit 21, for obtaining the candidate attribute data of the POI that at least one data source provides; Described acquisition unit 21, also, for according to described candidate attribute data, obtain richness parameter and/or the accuracy parameter of described candidate attribute data; Selected cell 22 for according to described richness parameter and/or described accuracy parameter, is selected at least one attribute comprised at least one candidate attribute data from described candidate attribute data, the objective attribute target attribute data of usining as described POI.
Wherein, each described candidate attribute data can include but not limited to title, phone, address, official website, label (tag), the attribute such as price, comment per capita.
It should be noted that, the device that the present embodiment provides can be search engine, can be arranged in local client, to carry out off-line search, or can also be arranged in the server of network side, and to carry out on-line search, the present embodiment is not limited this.
Be understandable that, described client can be mounted in the application program on terminal, or can also be a webpage of browser, as long as can realize LBS, with outwardness form that POI search is provided can, the present embodiment is not limited this.
Like this, obtain the candidate attribute data of the POI that at least one data source provides by obtaining unit, and then according to described candidate attribute data, obtain richness parameter and/or the accuracy parameter of described candidate attribute data, make the selected cell can be according to described richness parameter and/or described accuracy parameter, select at least one attribute comprised at least one candidate attribute data from described candidate attribute data, the objective attribute target attribute data of usining as described POI, can avoid in prior art because the POI details information in the POI Search Results has only comprised the problem that is merely able to provide to client the indicated attribute information of these fixing attribute fields that several fixing attribute fields cause, thereby specific aim and the validity of POI search have been improved.
In addition, the technical scheme that adopts the present embodiment to provide, make the user to carry out targetedly follow-up operation according to the objective attribute target attribute data of POI, therefore, can further improve specific aim and validity that the POI attribute data obtains.
In addition, the technical scheme that adopts the present embodiment to provide, make the user to carry out targetedly follow-up operation according to the objective attribute target attribute data of POI, therefore, can further reduce invalid selection (click) operation that the user is undertaken by client, thereby reduced, process load.
The treating apparatus of the attribute data of existing POI, POI details information has only comprised several fixing attribute fields, therefore, search engine is merely able to provide these fixing attribute fields indicated attribute information to client, thereby has caused the specific aim of POI search and the reduction of validity.
Alternatively, in one of the present embodiment possible implementation, described acquisition unit 21, specifically can be cut word and be processed (comprising the filtration means such as stop words processing) for to described candidate attribute data, with acquisition, cuts the word result; And, according to described quantity of cutting the word result, obtain described richness parameter.
Alternatively, in one of the present embodiment possible implementation, described acquisition unit 21, specifically can be for obtaining the diff value of each attribute that described candidate attribute data comprise, wherein, the computing method of the corresponding diff value of each attribute can be definite according to attributive character, and the present embodiment is not particularly limited this; And, according to the diff value of each attribute, obtain described accuracy parameter, wherein, the diff value of each attribute can be the diff value of each Attribute Relative current attribute corresponding in this attribute.
Be understandable that, if attribute is the attribute newly increased, the diff value of this attribute can be for not having vicissitudinous diff value for sign so, and for example, the diff value is 0.
It should be noted that, described accuracy parameter can be understood as the accuracy parameter of each attribute, and for example, if the diff value of attribute is less than or equal to the threshold value set in advance, the accuracy parameter of this attribute is 0; If the diff value of attribute is greater than the threshold value set in advance, the accuracy parameter of this attribute is 1.The diff value of attribute is less, can illustrate that the accuracy of this attribute is higher, and so, the possibility that this attribute is selected to the objective attribute target attribute data is just larger.Perhaps it is also understood that the accuracy parameter into described candidate attribute data, for example, according to the diff value of each attribute and the weights of each attribute, obtain the accuracy parameter of described candidate attribute data.The accuracy parameter of candidate attribute data is larger, can illustrate that the accuracy of these candidate attribute data is higher, and so, the possibility that these candidate attribute data are selected to the objective attribute target attribute data is just larger.The present embodiment is not particularly limited this.
Particularly, described selected cell 22 specifically can be according to described richness parameter and/or described accuracy parameter, select the whole attributes that comprise in candidate attribute data from described candidate attribute data, perhaps select the part attribute comprised in candidate attribute data, perhaps select the whole attributes that comprise in a plurality of candidate attribute data, perhaps select the part attribute comprised in a plurality of candidate attribute data, the objective attribute target attribute data of usining as described POI.
For example, described selected cell 22 can be according to described richness parameter, selects the whole attributes that comprise in one or more candidate attribute data of described richness maximum from described candidate attribute data, the objective attribute target attribute data of usining as described POI.
Perhaps, again for example, described selected cell 22 can be according to the accuracy parameter of described candidate attribute data, selects the whole attributes that comprise in the highest one or more candidate attribute data of described accuracy from described candidate attribute data, the objective attribute target attribute data of usining as described POI.
Perhaps, again for example, described selected cell 22 can be according to the accuracy parameter of each attribute comprised in described candidate attribute data, from described candidate attribute data, select described accuracy parameter to meet the part attribute comprised in one or more candidate attribute data of threshold condition, the objective attribute target attribute data of usining as described POI, for example, described threshold condition is the attribute comprised in the accuracy of selection parameter candidate attribute data that are 0, the perhaps attribute for comprising in the accuracy of selection parameter candidate attribute data that are 1, Deng, the present embodiment is not particularly limited this.
Be understandable that, described selected cell 22 can also be in conjunction with the method in previous example, accuracy parameter according to described richness parameter and described candidate attribute data, perhaps according to the accuracy parameter of each attribute comprised in described richness parameter and described candidate attribute data, select at least one attribute comprised at least one candidate attribute data from described candidate attribute data, the objective attribute target attribute data of usining as described POI, detailed description can, referring to the related content in aforementioned several examples, repeat no more herein.
Alternatively, in one of the present embodiment possible implementation, as shown in Figure 3, the treating apparatus of the attribute data of the POI that the present embodiment provides can further include receiving element 31, search unit 32 and transmitting element 33.
Wherein, described receiving element 31, the searching keyword sent for receiving client; Described search unit 32, for according to described searching keyword, match the described POI corresponding with described searching keyword.
Correspondingly, described acquisition unit 21, can also be further used for according to described POI, obtains the described objective attribute target attribute data corresponding with described POI.
Described transmitting element 33, for sending described objective attribute target attribute data to described client.
Like this, because the POI details information in the POI Search Results can comprise unfixed some attribute fields, therefore, can provide these unfixed some attribute fields indicated attribute information to client, thereby improve specific aim and the validity of POI search.
Particularly, described acquisition unit 21, specifically can obtain the trade information that described searching keyword is corresponding for according to described searching keyword, for example, and for identifying the trade information of hotel, food and drink and cinema etc.; According to the corresponding relation of trade information and Organization of Data template, obtain the Organization of Data template corresponding with described trade information; And utilize described Organization of Data template, and organize described objective attribute target attribute data, so that transmitting element 33 is carried out subsequent operation, to described client, send the described objective attribute target attribute data after organizing.
Alternatively, in one of the present embodiment possible implementation, can also further comprise classification information in the described candidate attribute data that described acquisition unit 21 obtains, described classification information is in order to identify the data category under described candidate attribute data, for example, hotel, food and drink and cinema etc.
Particularly, described acquisition unit 21, can also be further used for the corresponding relation according to trade information and classification information, obtains the described classification information corresponding with described trade information; And, according to described classification information, obtain the described objective attribute target attribute data corresponding with described classification information.
Adopt technical scheme provided by the invention, attribute data due to POI, can belong to respectively a plurality of data categories, the attribute data of each data category, can corresponding a kind of Organization of Data template, like this, for same POI, the attribute data that the several data classification can be arranged, every kind of attribute data can be applied different Organization of Data templates.Like this, search engine can utilize different Organization of Data templates, organizes corresponding attribute data, thereby has improved the dirigibility of POI search.
For the method that makes the embodiment of the present invention provide is clearer, below will be with the attribute data of riverside this POI of outside the city as an example.
Suppose that search engine can provide the attribute data of a this POI of outside the city along the river at present, each attribute is as follows:
Title: riverside outside the city;
Address: outside Xizhimen No. 3;
Phone: 010-666666;
Official website: http://www.jiangbianchengwai.com;
Price (unit) per capita: 33;
Classification: the cater(food and drink).
Method one: selected cell is according to the richness parameter of some candidate attribute data of this obtained POI, all or part of candidate attribute data of selecting the A of partner to provide as data source, the objective attribute target attribute data of usining as this POI.Each attribute comprised in the candidate attribute data that the A of partner provides is as follows:
Title: riverside outside the city;
Address: outside Xizhimen No. 4;
Phone: 010-666666,010-555555;
Official website: http://www.jiangbianchengwai.com;
Price (unit) per capita: 450;
Classification: the cater(food and drink).
Method two: selected cell is according to the richness parameter of some candidate attribute data of this obtained POI, tentatively determines all or part of candidate attribute data that can select the A of partner to provide as data source, the objective attribute target attribute data of usining as this POI.Each attribute comprised in the candidate attribute data that the A of partner provides is as follows:
Title: riverside outside the city;
Address: outside Xizhimen No. 4;
Phone: 010-666666,010-555555;
Official website: http://www.jiangbianchengwai.com;
Price (unit) per capita: 450;
Classification: the cater(food and drink).
Now, obtain unit the various computing method that provide in prior art can be provided, calculate the diff value of each attribute, result of calculation is as follows:
The diff(title)=0;
The diff(address)=1;
The diff(phone)=0.5;
The diff(official website)=0;
The equal price of diff(people)=12.6;
The diff(classification)=0;
Then, obtain the diff value of unit according to each attribute, can obtain the accuracy parameter of each attribute.
Particularly, the diff value is less than or equal to the threshold value set in advance, and accuracy parameter is 0; The diff value is greater than the threshold value set in advance, and accuracy parameter is 1.Wherein, accuracy parameter is that 0 expression accuracy is higher, can select; Accuracy parameter is that 1 expression accuracy is lower, cannot 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;
Like this, the accuracy parameter of each attribute comprised in the candidate attribute data of this POI that selected cell can provide according to the A of partner, select 4 attributes that described accuracy parameter is 0 from described candidate attribute data, be title, phone, official website and classification, using as the objective attribute target attribute data of this POI of outside the city along the river.
Method three: selected cell is according to the richness parameter of some candidate attribute data of this obtained POI, tentatively determines all or part of candidate attribute data that can select the A of partner to provide as data source, the objective attribute target attribute data of usining as this POI.Each attribute comprised in the candidate attribute data that the A of partner provides is as follows:
Title: riverside outside the city;
Address: outside Xizhimen No. 4;
Phone: 010-666666,010-555555;
Official website: http://www.jiangbianchengwai.com;
Price (unit) per capita: 450;
Classification: the cater(food and drink).
Now, obtain unit the various computing method that provide in prior art can be provided, calculate the diff value of each attribute, result of calculation is as follows:
The diff(title)=0;
The diff(address)=1;
The diff(phone)=0.5;
The diff(official website)=0;
The equal price of diff(people)=12.6;
The diff(classification)=0;
Then, obtain the diff value of unit according to each attribute, can obtain the accuracy parameter of these candidate attribute data.
Particularly, obtain unit and specifically can, according to the diff value of each attribute and the weights of each attribute, obtain the accuracy parameter of described candidate attribute data.For example,
Accuracy parameter (candidate attribute data)=diff(title) * k1+diff(address) * k2+diff(phone) * k3+diff(official website) the equal price of * k4+diff(people) * k5+diff(classification) * k6
Wherein, the value of k1～k6 can manually be specified the significance level of POI according to this attribute by operating personnel.
The accuracy parameter of candidate attribute data is larger, can illustrate that the accuracy of these candidate attribute data is higher, and so, it is just larger that selected cell selects these candidate attribute data to become the possibility of objective attribute target attribute data.
In the present embodiment, obtain the candidate attribute data of the POI that at least one data source provides by obtaining unit, and then according to described candidate attribute data, obtain richness parameter and/or the accuracy parameter of described candidate attribute data, make the selected cell can be according to described richness parameter and/or described accuracy parameter, select at least one attribute comprised at least one candidate attribute data from described candidate attribute data, the objective attribute target attribute data of usining as described POI, can avoid in prior art because the POI details information in the POI Search Results has only comprised the problem that is merely able to provide to client the indicated attribute information of these fixing attribute fields that several fixing attribute fields cause, thereby specific aim and the validity of POI search have been improved.
In addition, the technical scheme that adopts the present embodiment to provide, make the user to carry out targetedly follow-up operation according to the objective attribute target attribute data of POI, therefore, can further improve specific aim and validity that the POI attribute data obtains.
In addition, the technical scheme that adopts the present embodiment to provide, make the user to carry out targetedly follow-up operation according to the objective attribute target attribute data of POI, therefore, can further reduce invalid selection (click) operation that the user is undertaken by client, thereby reduced, process load.
The those skilled in the art can be well understood to, for convenience and simplicity of description, the system of foregoing description, the specific works process of device and unit, can, with reference to the corresponding process in preceding method embodiment, not repeat them here.
In several embodiment provided by the present invention, should be understood that, disclosed system, apparatus and method, can realize by another way.For example, device embodiment described above is only schematic, for example, the division of described unit, be only that a kind of logic function is divided, during actual the realization, other dividing mode can be arranged, for example a plurality of unit or assembly can in conjunction with or can be integrated into another system, or some features can ignore, or do not carry out.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, indirect coupling or the communication connection of device or unit can be electrically, machinery or other form.
The described unit as the separating component explanation can or can not be also physically to separate, and the parts that show as unit can be or can not be also physical locations, can be positioned at a place, or also can be distributed on a plurality of network element.Can select according to the actual needs some or all of unit wherein to realize the purpose of the present embodiment scheme.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can be also that the independent physics of unit exists, and also can be integrated in a unit two or more unit.Above-mentioned integrated unit both can adopt the form of hardware to realize, the form that also can adopt hardware to add SFU software functional unit realizes.
The integrated unit that the above-mentioned form with SFU software functional unit realizes, can be stored in a computer read/write memory medium.Above-mentioned SFU software functional unit is stored in a storage medium, comprise that some instructions are with so that a computer equipment (can be personal computer, server, or the network equipment etc.) or processor (processor) carry out the part steps of the described method of each embodiment of the present invention.And aforesaid storage medium comprises: various media that can be program code stored such as USB flash disk, portable hard drive, ROM (read-only memory) (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CDs.
Finally it should be noted that: above embodiment only, in order to technical scheme of the present invention to be described, is not intended to limit; Although with reference to previous embodiment, the present invention is had been described in detail, those of ordinary skill in the art is to be understood that: its technical scheme that still can put down in writing aforementioned each embodiment is modified, or part technical characterictic wherein is equal to replacement; And these modifications or replacement do not make the essence of appropriate technical solution break away from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (14)
1. the disposal route of the attribute data of a POI, is characterized in that, comprising:
Obtain the candidate attribute data of the POI that at least one data source provides;
According to described candidate attribute data, obtain richness parameter and/or the accuracy parameter of described candidate attribute data;
According to described richness parameter and/or described accuracy parameter, select at least one attribute comprised at least one candidate attribute data from described candidate attribute data, the objective attribute target attribute data of usining as described POI.
2. method according to claim 1, is characterized in that, described according to described candidate attribute data, obtains the richness parameter of described candidate attribute data, comprising:
To described candidate attribute data, cut word and processed, cut the word result with acquisition;
According to described quantity of cutting the word result, obtain described richness parameter.
3. method according to claim 1 and 2, is characterized in that, described according to described candidate attribute data, obtains the accuracy parameter of described candidate attribute data, comprising:
Obtain the diff value of each attribute comprised in described candidate attribute data;
Diff value according to each attribute, obtain described accuracy parameter.
4. according to the described method of the arbitrary claim of claim 1～3, it is characterized in that, described according to described richness parameter and/or described accuracy parameter, select at least one attribute comprised at least one candidate attribute data from described candidate attribute data, after the objective attribute target attribute data of usining as described POI, also comprise:
Receive the searching keyword that client sends;
According to described searching keyword, match the described POI corresponding with described searching keyword;
According to described POI, obtain the described objective attribute target attribute data corresponding with described POI;
Send described objective attribute target attribute data to described client.
5. method according to claim 4, is characterized in that, described according to described POI, after obtaining the described objective attribute target attribute data corresponding with described POI, described send described objective attribute target attribute data to described client before, also comprise:
According to described searching keyword, obtain the trade information that described searching keyword is corresponding;
According to the corresponding relation of trade information and Organization of Data template, obtain the Organization of Data template corresponding with described trade information;
Utilize described Organization of Data template, organize described objective attribute target attribute data, so that the described objective attribute target attribute data after described client sends tissue.
6. method according to claim 5, is characterized in that, in described candidate attribute data, also comprises classification information, and described classification information is in order to identify the data category under described candidate attribute data.
7. method according to claim 6, is characterized in that, describedly utilizes described Organization of Data template, before organizing described objective attribute target attribute data, also comprises:
According to the corresponding relation of trade information and classification information, obtain the described classification information corresponding with described trade information;
According to described classification information, obtain the described objective attribute target attribute data corresponding with described classification information.
8. the treating apparatus of the attribute data of a POI, is characterized in that, comprising:
Obtain unit, for obtaining the candidate attribute data of the POI that at least one data source provides;
Described acquisition unit, also, for according to described candidate attribute data, obtain richness parameter and/or the accuracy parameter of described candidate attribute data;
Selected cell for according to described richness parameter and/or described accuracy parameter, is selected at least one attribute comprised at least one candidate attribute data from described candidate attribute data, the objective attribute target attribute data of usining as described POI.
9. device according to claim 8, is characterized in that, described acquisition unit, specifically for
To described candidate attribute data, cut word and processed, cut the word result with acquisition; And
According to described quantity of cutting the word result, obtain described richness parameter.
10. device according to claim 8 or claim 9, is characterized in that, described acquisition unit, specifically for
Obtain the diff value of each attribute comprised in described candidate attribute data; And
Diff value according to each attribute, obtain described accuracy parameter.
11. the described device of according to Claim 8～10 arbitrary claim, is characterized in that, described device also comprises:
Receiving element, the searching keyword sent for receiving client;
Search unit, for according to described searching keyword, match the described POI corresponding with described searching keyword;
Described acquisition unit, also, for according to described POI, obtain the described objective attribute target attribute data corresponding with described POI;
Described device also comprises:
Transmitting element, for sending described objective attribute target attribute data to described client.
12. device according to claim 11, is characterized in that, described acquisition unit, specifically for
According to described searching keyword, obtain the trade information that described searching keyword is corresponding;
According to the corresponding relation of trade information and Organization of Data template, obtain the Organization of Data template corresponding with described trade information; And
Utilize described Organization of Data template, organize described objective attribute target attribute data, so that the described objective attribute target attribute data of described transmitting element after described client sends tissue.
13. device according to claim 12, is characterized in that, in described candidate attribute data, also comprises classification information, described classification information is in order to identify the data category under described candidate attribute data.
14. device according to claim 13, is characterized in that, described acquisition unit, also for
According to the corresponding relation of trade information and classification information, obtain the described classification information corresponding with described trade information; And
According to described classification information, obtain the described objective attribute target attribute data corresponding with described classification information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310389861.9A CN103473290B (en) | 2013-08-30 | 2013-08-30 | The processing method and processing device of the attribute data of point of interest |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310389861.9A CN103473290B (en) | 2013-08-30 | 2013-08-30 | The processing method and processing device of the attribute data of point of interest |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103473290A true CN103473290A (en) | 2013-12-25 |
| CN103473290B CN103473290B (en) | 2017-10-31 |
Family
ID=49798138
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310389861.9A Active CN103473290B (en) | 2013-08-30 | 2013-08-30 | The processing method and processing device of the attribute data of point of interest |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103473290B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104199952A (en) * | 2014-09-12 | 2014-12-10 | 百度在线网络技术（北京）有限公司 | Method and device for acquiring information of interest points |
| CN105574019A (en) * | 2014-10-14 | 2016-05-11 | 高德软件有限公司 | Query parameter processing method and device |
| CN106126394A (en) * | 2016-08-22 | 2016-11-16 | 浪潮(北京)电子信息产业有限公司 | Out of band supervision management obtains the method and system of PCIE device assets information |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101141525A (en) * | 2007-10-10 | 2008-03-12 | 中兴通讯股份有限公司 | Information management system and information management method |
| WO2009058499A1 (en) * | 2007-10-30 | 2009-05-07 | Motorola, Inc. | Methods and apparatus for collecting and using information regarding location object-based actions |
| CN101963962A (en) * | 2009-07-23 | 2011-02-02 | 高德软件有限公司 | Interest point data association method and device |
| 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 |
| 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 |
| 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 |
| CN102456055A (en) * | 2010-10-28 | 2012-05-16 | 腾讯科技（深圳）有限公司 | Method and device for retrieving interest points |
-
2013
- 2013-08-30 CN CN201310389861.9A patent/CN103473290B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101141525A (en) * | 2007-10-10 | 2008-03-12 | 中兴通讯股份有限公司 | Information management system and information management method |
| WO2009058499A1 (en) * | 2007-10-30 | 2009-05-07 | Motorola, Inc. | Methods and apparatus for collecting and using information regarding location object-based actions |
| CN101963962A (en) * | 2009-07-23 | 2011-02-02 | 高德软件有限公司 | Interest point data association method and device |
| 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 |
| 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 |
| CN102456055A (en) * | 2010-10-28 | 2012-05-16 | 腾讯科技（深圳）有限公司 | Method and device for retrieving interest points |
| 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 |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104199952A (en) * | 2014-09-12 | 2014-12-10 | 百度在线网络技术（北京）有限公司 | Method and device for acquiring information of interest points |
| CN105574019A (en) * | 2014-10-14 | 2016-05-11 | 高德软件有限公司 | Query parameter processing method and device |
| CN105574019B (en) * | 2014-10-14 | 2020-07-31 | 阿里巴巴（中国）有限公司 | Query parameter processing method and device |
| CN106126394A (en) * | 2016-08-22 | 2016-11-16 | 浪潮(北京)电子信息产业有限公司 | Out of band supervision management obtains the method and system of PCIE device assets information |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103473290B (en) | 2017-10-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8417683B2 (en) | System and method for presenting geolocated relevance-based content | |
| CN104102719A (en) | Track information pushing method and device | |
| CN108573428A (en) | A kind of resource recommendation method and device | |
| CN104731917A (en) | Recommendation method and device | |
| WO2019000887A1 (en) | Method and device for recommending information | |
| US11164210B2 (en) | Method, device and computer storage medium for promotion displaying | |
| CN104850546B (en) | Display method and system of mobile media information | |
| CN104462113A (en) | Search method and device and electronic equipment | |
| CN103914498A (en) | Search recommending method and device for map searching | |
| CN103339623A (en) | Internet search related methods and apparatus | |
| CN103823849A (en) | Method and device for acquiring entries | |
| CN104080054A (en) | Abnormal interest point acquisition method and device | |
| CN104199952A (en) | Method and device for acquiring information of interest points | |
| CN103164512A (en) | Processing method and equipment of address information of interest point | |
| CN103440306A (en) | Search result showing method and device | |
| CN103177096A (en) | Page element positioning method based on text attribute and page element positioning device based on text attribute | |
| CN104718556A (en) | Defining relevant content area based on category density | |
| CN105354318A (en) | File searching method and device | |
| CN103235773A (en) | Method and device for extracting text labels based on keywords | |
| CN103473290A (en) | Processing method and device for attribute data of POIs | |
| US9691106B2 (en) | Location based friend finding | |
| CN111930891A (en) | Retrieval text expansion method based on knowledge graph and related device | |
| CN104615620A (en) | Map search type identification method and device and map search method and system | |
| CN111382365A (en) | Method and apparatus for outputting information | |
| CN104866544A (en) | Information pushing method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |