CN105843934A - Expert map generation method and device - Google Patents
Expert map generation method and device Download PDFInfo
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- CN105843934A CN105843934A CN201610193237.5A CN201610193237A CN105843934A CN 105843934 A CN105843934 A CN 105843934A CN 201610193237 A CN201610193237 A CN 201610193237A CN 105843934 A CN105843934 A CN 105843934A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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Abstract
The invention discloses an expert map generation method. The method comprises the following steps: generating a map interface, and partitioning the map interface into a plurality of modules having a hierarchical relationship according to administrative regions; endowing the modules in all hierarchies with unique page tags; acquiring expert information uploaded by experts to generate an expert database, wherein the expert information includes expert locations; and capturing a location of a cursor on the map interface and a page tag which corresponds to the location, judging the hierarchy of the cursor on the map interface, and displaying a quantity of all experts with expert locations belonging to the hierarchy of the cursor and a plurality of experts having a highest coordination degree on the current map interface. Through the adoption of the expert map generation method, a user can directly find a local optimal expert on the map interface to serve for the user; the operation flow is simplified; and the efficiency is increased.
Description
Technical field
The present invention relates to information advancing technique field, be specifically related to a kind of expert ground map generalization method.
Background technology
Map is based on certain Mathematical rule, uses graphics language, by cartographic generaliztion on certain carrier, expresses the figure that the upper spatial distribution of various things of the earth (or other celestial bodies), contact and the development and change state in the time are drawn.Along with the progress of science and technology, the concept of map is development change, and as map is regarded as " reflection nature and the image of social phenomenon, rich and powerful people's model ", map is " carrier of spatial information ", " transmission channels of spatial information " etc..The carrier of traditional map mostly is paper, along with the development of science and technology occurs in that the variety carrier such as electronic chart.
Map is according to certain rule, in plane or sphere, figure or the image of the earth (Earth) (or other celestial body) some phenomenons is represented with means selectively with two dimension (2D) or multi-dimensional form (3D), it has strict Fundamentals of Mathematics, semiotic system, word annotation, and figure comprehension principle practicably, scientifically reflect nature and the distribution characteristics of socioeconomic phenomenon and mutual relation thereof.
The definition of present stage map is: with certain mathematics (Math) rule (i.e. medelling), symbolization, the pictorial symbol model of abstract reflection objective reality or referred to as figure mathematical model.
In intelligent service activity, demand for services side is difficult to directly search out the expert wanting service, it is desirable to can directly find suitable expert and service for it.In prior art, demand for services side wishes that the expert that can obtain in local expert or one's respective area services mostly, and needs suitable expert.
Summary of the invention
An object of the present invention is to provide a kind of expert ground map generalization method and apparatus.
For reaching above-mentioned purpose, one embodiment of the present of invention provides a kind of expert ground map generalization method, including:
(1), generate map interface, and be multiple modules with hierarchical relationship by map interface according to administrative division；
(2) each module giving each level has the most unique page-tag；
(3), gathering the expert info generation expert database that expert uploads, expert info includes expert location；
(4), page-tag corresponding to the position that is marked on map interface of capture light and this position, judge the level of map interface residing for cursor, and on current map interface, show that expert location belongs to the quantity of all experts of this level and shows some the experts that the degree of association is the highest.
Preferably, on map interface, the administrative region of display has national level, province's level, city's level, county level level and 5 levels of region layer level.
Preferably, expert info includes expert's grade, domain type, the experience time limit, expert's qualification certification quantity.
Preferably, on current map interface, the display number of expert is 3 ~ 6.
Preferably, the computational methods of the degree of association are:
Obtain the key word of input in user access information and the degree of association of specialist field type；
Using the above-mentioned degree of association, expert's grade, the experience time limit and expert's qualification certification as weight, and it is above-mentioned weight distribution weight coefficient from big to small, with weighted value the highest arrangement display expert's order.
Preferably, also include when capturing the map interface that cursor switches to another level, update expert's quantity and show some experts that the degree of association is the highest.
It is a further object to provide the generating means of a kind of expert's map, including:
Map interface signal generating unit, is used for generating map interface, and is multiple modules with hierarchical relationship by map interface according to administrative division；
Page-tag signal generating unit, has the most unique page-tag for giving each module of each level；
Expert's collecting unit, the expert info uploaded for gathering expert generate expert database, and expert info includes expert location；
Identifying unit, for capturing page-tag corresponding to position that light is marked on map interface and this position, judge the level of map interface residing for cursor, and on current map interface, show that expert location belongs to the quantity of all experts of this level and shows some the experts that the degree of association is the highest.
Preferably, expert info includes expert's grade, domain type, the experience time limit, expert's qualification certification quantity.
Preferably, also include that calculation of relationship degree unit, the computational methods of the described degree of association are:
Obtain the key word of input in user access information and the degree of association of specialist field type；
Using the above-mentioned degree of association, expert's grade, the experience time limit and expert's qualification certification as weight, and it is above-mentioned weight distribution weight coefficient from big to small, with weighted value the highest arrangement display expert's order.
Preferably, on current map interface, the display number of expert is 3 ~ 6.
In sum, the invention have the advantages that
The present invention, so that user directly finds this locality most preferably expert on map interface services for it, simplifies operating process, improves efficiency.
Accompanying drawing explanation
Fig. 1 is the flow chart of one embodiment of the invention.
Detailed description of the invention
The invention provides a kind of expert ground map generalization method, including:
S1, generate map interface, and be multiple modules with hierarchical relationship by map interface according to administrative division.On map interface, the administrative region of display has national level, province's level, city's level, county level level and 5 levels of region layer level.Map interface can select world map to be template, and map interface can click on zoom along with light target, and then makes cursor can click through and check next level.
S2, give each module of each level there is the most unique page-tag.Each level has multiple module, and the module of next level belongs to the submodule of a hierarchy module, and cursor will show, after moving to each module, the content that page-tag represents.
The expert info that S3, collection expert upload generates expert database, and expert info includes expert location, expert's grade, domain type, the experience time limit, expert's qualification certification quantity；By the content of expert info, expert is graded, the weight coefficient in subsequent step.
The page-tag that S4, the position that is marked on map interface of capture light and this position are corresponding, judge the level of map interface residing for cursor, and on current map interface, show that expert location belongs to the quantity of all experts of this level and shows some the experts that the degree of association is the highest, such as show head portrait or the associated specialist information of 3 ~ 6 experts.
The computational methods of the degree of association are:
Obtain the key word of input in user access information and the degree of association of specialist field type；
Using the above-mentioned degree of association, expert's grade, the experience time limit and expert's qualification certification as weight, and it is above-mentioned weight distribution weight coefficient from big to small, with weighted value the highest arrangement display expert's order.User access information and input key word extract key word, regard as associating when key word therein is with specialist field type matching, the degree of association can represent that the demand type of user and expert are good at field degree of correlation, can be user mate can solve its demand be good at expert.
In actual decision process, the weight coefficient that can arrange the degree of association is 0.4, and remaining weight coefficient is respectively 0.2, and limit can directly calculate the order of expert.
Additionally, when capturing the map interface that cursor switches to another level, update expert's quantity and show some experts that the degree of association is the highest.
Invention additionally discloses the generating means of a kind of expert's map, including:
Map interface signal generating unit, is used for generating map interface, and is multiple modules with hierarchical relationship by map interface according to administrative division；
Page-tag signal generating unit, has the most unique page-tag for giving each module of each level；
Expert's collecting unit, the expert info uploaded for gathering expert generate expert database, and expert info includes expert location；
Identifying unit, for capturing page-tag corresponding to position that light is marked on map interface and this position, judge the level of map interface residing for cursor, and on current map interface, show that expert location belongs to the quantity of all experts of this level and shows some the experts that the degree of association is the highest.
In one embodiment of the present of invention, expert info includes expert's grade, domain type, the experience time limit, expert's qualification certification quantity.
In one embodiment of the present of invention, also include that calculation of relationship degree unit, the computational methods of the described degree of association are:
Obtain the key word of input in user access information and the degree of association of specialist field type；
Using the above-mentioned degree of association, expert's grade, the experience time limit and expert's qualification certification as weight, and it is above-mentioned weight distribution weight coefficient from big to small, with weighted value the highest arrangement display expert's order.
In one embodiment of the present of invention, on current map interface, the display number of expert is 3 ~ 6.
Claims (10)
1. an expert ground map generalization method, including:
(1), generate map interface, and be multiple modules with hierarchical relationship by map interface according to administrative division；
(2) each module giving each level has the most unique page-tag；
(3), gathering the expert info generation expert database that expert uploads, expert info includes expert location；
(4), page-tag corresponding to the position that is marked on map interface of capture light and this position, judge the level of map interface residing for cursor, and on current map interface, show that expert location belongs to the quantity of all experts of this level and shows some the experts that the degree of association is the highest.
2. the method for claim 1, it is characterised in that: on described map interface, the administrative region of display has national level, province's level, city's level, county level level and 5 levels of region layer level.
3. the method for claim 1, it is characterised in that: described expert info includes expert's grade, domain type, the experience time limit, expert's qualification certification quantity.
4. the method for claim 1, it is characterised in that: on described current map interface, the display number of expert is 3 ~ 6.
5. the method for claim 1, it is characterised in that: the computational methods of the described degree of association are:
Obtain the key word of input in user access information and the degree of association of specialist field type；
Using the above-mentioned degree of association, expert's grade, the experience time limit and expert's qualification certification as weight, and it is above-mentioned weight distribution weight coefficient from big to small, with weighted value the highest arrangement display expert's order.
6. the method for claim 1, it is characterised in that: also include when capturing the map interface that cursor switches to another level, update expert's quantity and show some experts that the degree of association is the highest.
7. the generating means of expert's map, it is characterised in that including:
Map interface signal generating unit, is used for generating map interface, and is multiple modules with hierarchical relationship by map interface according to administrative division；
Page-tag signal generating unit, has the most unique page-tag for giving each module of each level；
Expert's collecting unit, the expert info uploaded for gathering expert generate expert database, and expert info includes expert location；
Identifying unit, for capturing page-tag corresponding to position that light is marked on map interface and this position, judge the level of map interface residing for cursor, and on current map interface, show that expert location belongs to the quantity of all experts of this level and shows some the experts that the degree of association is the highest.
8. device as claimed in claim 7, it is characterised in that: described expert info includes expert's grade, domain type, the experience time limit, expert's qualification certification quantity.
9. device as claimed in claim 7, it is characterised in that: also include that calculation of relationship degree unit, the computational methods of the described degree of association are:
Obtain the key word of input in user access information and the degree of association of specialist field type；
Using the above-mentioned degree of association, expert's grade, the experience time limit and expert's qualification certification as weight, and it is above-mentioned weight distribution weight coefficient from big to small, with weighted value the highest arrangement display expert's order.
10. device as claimed in claim 7, it is characterised in that: on described current map interface, the display number of expert is 3 ~ 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610193237.5A CN105843934A (en) | 2016-03-30 | 2016-03-30 | Expert map generation method and device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610193237.5A CN105843934A (en) | 2016-03-30 | 2016-03-30 | Expert map generation method and device |
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| CN105843934A true CN105843934A (en) | 2016-08-10 |
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| CN201610193237.5A Pending CN105843934A (en) | 2016-03-30 | 2016-03-30 | Expert map generation method and device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110413778A (en) * | 2019-07-10 | 2019-11-05 | 深圳传世智慧科技有限公司 | Generation method, expert recommendation method and the electronic equipment of expert power |
Citations (2)
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| CN101192215A (en) * | 2006-11-24 | 2008-06-04 | 中国科学院声学研究所 | Information aggregation and enquiry method based on geographic coordinates |
| WO2008129339A1 (en) * | 2007-04-18 | 2008-10-30 | Mitsco - Seekport Fz-Llc | Method for location identification in web pages and location-based ranking of internet search results |
-
2016
- 2016-03-30 CN CN201610193237.5A patent/CN105843934A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101192215A (en) * | 2006-11-24 | 2008-06-04 | 中国科学院声学研究所 | Information aggregation and enquiry method based on geographic coordinates |
| WO2008129339A1 (en) * | 2007-04-18 | 2008-10-30 | Mitsco - Seekport Fz-Llc | Method for location identification in web pages and location-based ranking of internet search results |
Non-Patent Citations (1)
| Title |
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| 杜晖: "基于Google Maps的专家地图研究", 《软件导刊》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110413778A (en) * | 2019-07-10 | 2019-11-05 | 深圳传世智慧科技有限公司 | Generation method, expert recommendation method and the electronic equipment of expert power |
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