CN104281576A - Display method for landmark data - Google Patents

Display method for landmark data Download PDF

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Publication number
CN104281576A
CN104281576A CN201310273224.5A CN201310273224A CN104281576A CN 104281576 A CN104281576 A CN 104281576A CN 201310273224 A CN201310273224 A CN 201310273224A CN 104281576 A CN104281576 A CN 104281576A
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China
Prior art keywords
landmark data
landmark
data
separately
popularity
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CN201310273224.5A
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CN104281576B (en
Inventor
张国峰
朱逸斐
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Weisheng Electronics (Shanghai) Co.,Ltd.
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Via Technologies Inc
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Priority to CN201310273224.5A priority Critical patent/CN104281576B/en
Priority to TW102125776A priority patent/TWI633508B/en
Priority to US14/271,458 priority patent/US9558262B2/en
Publication of CN104281576A publication Critical patent/CN104281576A/en
Priority to US15/361,015 priority patent/US10083241B2/en
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Publication of CN104281576B publication Critical patent/CN104281576B/en
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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
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/3331—Query processing
    • G06F16/334—Query execution
    • 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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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • User Interface Of Digital Computer (AREA)
  • Information Transfer Between Computers (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

A display method for landmark data is applied to a server and an electronic device. The display method includes the steps that the address cited frequency of the respective addresses of a plurality of landmark data on the Internet is counted by the server, the respective objective level categories of the landmark data are searched for by the server, the respective popularity of the landmark data is calculated by the server according to the respective objective level categories of the landmark data and the address cited frequency of the landmark data, and the landmark data are displayed on the electronic device in accordance with the respective popularity of the landmark data.

Description

The display packing of landmark data
Technical field
The present invention relates to a kind of data processing method, particularly relate to a kind of display packing of landmark data.
Background technology
Due to the fast development of science and technology and the maturation of manufacturing process technology, various intelligent electronic product has become very general carry-on equipment, and modern is also therefrom obtained many application services easily.For example, when user has come unfamiliar environment, place name key word just can have been utilized to do the inquiry of specific landmark.
In the Query Result of traditional landmark data, due to its display mode not according to user general sense organ or cognitive custom sorts, so user differs just obtain the most useful message in the very first time surely, cause user in a large amount of Query Results, extra mental and physical efforts must to be spent filter.
For example, the degree of knowing of popular " Lujiazui " for Shanghai exceeds " Yang Jia gulf " in Shanghai certainly, and therefore passenger is comparatively inclined to and goes to " Lujiazui " to go sightseeing.But, when user is at Shanghai's tourism, want if directly spread out the map to understand the landmark data that around which has well-known as travel for go to reference time, because the administrative level in " the Yang Jia gulf " in Shanghai exceeds in " Lujiazui ", thus with administrative level as in the display result of priority foundation, " the Yang Jia gulf " in Shanghai may sort in " Lujiazui " before.Even, there are many popularity to have other Shanghai landmark data of higher row political affairs level not as " Lujiazui ", also sort in " Lujiazui " before.In other words, have the landmark data that many administrative levels are relatively high, it but may not be certain to have higher popularity.
Due to the Evaluation criterion that the general sense organ of user or cognitive custom are a kind of bulk properties, if use the partition of the level standard of single character (such as, administrative level) Query Result that shows landmark data will lose its objectivity, and intelligent electronic product is also just limited by very large relative to the practical level of user.
Summary of the invention
The invention provides a kind of display packing of landmark data, use terrestrial reference data characterization, allow user when inquiring about specific landmark, landmark data can be shown, so that the time that the landmark data being of value to user most saves inquiry can be demonstrated in search result according to the general sense organ of user or cognitive custom.
The invention provides a kind of display packing of landmark data, be applicable to servomechanism and electronic installation, comprise: multiple landmark data address separately address reference number of times on the internet added up by servomechanism; Multiple landmark data objective hierarchical category separately searched by servomechanism; Servomechanism calculates multiple landmark data popularity separately according to the respective objective hierarchical category of multiple landmark data and address reference number of times; And according to multiple landmark data popularity separately, multiple landmark data is shown in electronic installation.
The invention provides a kind of display packing of landmark data, the display packing of landmark data, is applicable to electronic installation, comprising: obtain multiple landmark data; Utilize multiple landmark data address acquisition address reference number of times on the internet separately; According to the respective objective hierarchical category of multiple landmark data and address reference number of times, calculate multiple landmark data popularity separately; And according to multiple landmark data popularity separately, multiple landmark data is shown in electronic installation.
The invention provides a kind of display packing of landmark data, be applicable to electronic installation, comprising: receive place name key word; Search at least one landmark data whether having corresponding place name key word; If search at least one landmark data, then according at least one landmark data popularity separately, matching degree and distance mark, sort at least one landmark data; And sorted at least one landmark data is shown in electronic installation, wherein, at least one landmark data popularity is separately relevant at least one landmark data objective hierarchical category separately and address reference number of times added up on the internet.
Based on above-mentioned, the present invention is by utilizing the address reference number of times of landmark data and objective hierarchical category to calculate its popularity, and then after reception place name key word, can to sort searched relevant landmark data by popularity, matching degree and distance mark, and the relevant landmark data after sequence is shown in electronic installation.
For making above-mentioned feature and advantage of the present invention become apparent, special embodiment below, and be described with reference to the accompanying drawings as follows.
Accompanying drawing explanation
Fig. 1 is according to the electronic installation of multiple embodiment of the present invention and the calcspar of servomechanism.
Fig. 2 is the calcspar of the message notifying device according to one embodiment of the invention.
Fig. 3 is the process flow diagram of the message Notification Method according to one embodiment of the invention.
Fig. 4 is the process flow diagram of message Notification Method according to another embodiment of the present invention.
Fig. 5 is the process flow diagram of the display packing of landmark data according to one embodiment of the invention.
Fig. 6 is the process flow diagram of the display packing of landmark data according to another embodiment of the present invention.
Fig. 7 is the process flow diagram of the display packing of landmark data according to another embodiment of the present invention.
Fig. 8 is the process flow diagram of the display packing of landmark data according to another embodiment of the present invention.
Fig. 9 is the calcspar of the region labelling apparatus of data file according to one embodiment of the invention.
Figure 10 is the process flow diagram of the region labeling method of data file according to one embodiment of the invention.
Figure 11 is the schematic diagram of the tree structure according to one embodiment of the invention.
Figure 12 is the process flow diagram of the region labeling method of data file according to another embodiment of the present invention.
Figure 13 A ~ Figure 13 D is the schematic diagram of the construction process of tree structure according to one embodiment of the invention.
Figure 14 is the process flow diagram of the sort method of data file according to one embodiment of the invention.
Figure 15 is the process flow diagram of the sort method of data file according to one embodiment of the invention.
Reference numeral explanation
101: electronic installation
103: servomechanism
200: message notifying device
210: communication unit
230: storage element
250: broadcast unit
270: gyroscope
290: control module
S310 ~ S330: the step of message Notification Method
S401, S402, S310 ~ S330: the step of message Notification Method
S510 ~ S550, S541 ~ S542, S710 ~ S740, S731 ~ S733: the step of the display packing of landmark data
900: region labelling apparatus
910: taxon
930: acquisition unit
950: comparing unit
970: indexing unit
990: storage data storehouse
S1010 ~ S1040: the step of region labeling method
S1011 ~ S1013, S1021 ~ S1022, S1031 ~ S1033 and S1041 ~ S1042: the step of region labeling method
1301 ~ 1304: Section Point
S1410 ~ S1430, S1440, S1441, S1442 and S1450: the step of the sort method of data file
Embodiment
Fig. 1 is the calcspar of electronic installation 101 according to one embodiment of the invention and servomechanism 103.Servomechanism 103 can be computing machine or the processor of personal computer, workstation, host computer or various other types.Electronic installation 101 can be the portable electron device of mobile computer, flat computer, personal digital assistant, intelligent mobile phone or various other types.Electronic installation 101 comes and servomechanism 103 communication by network.The present embodiment describe in, the citing of electronic installation 101 will be represented with message notifying device 200.In other words, electronic installation 101 and message notifying device 200 can be and be equal in fact mutually and interchangeable device.
When user for message notifying device 200 set institute for concern information category time, user first can send solicited message by message notifying device 200.Such as, " if there is up-to-date Japanese nuclear accident news, tell at once I ", " if having advance versus decline more than 2% in my self-selected stock, just notify at once I " or " if the 36 phase colour film has been left notify my " etc. at once.In embodiments of the present invention, user can carry out input request information to message notifying device 200 by voice utterance.Message notifying device 200 differentiates may being intended to of solicited message by various types of natural language processing module, or can further by the structured database storing a large amount of words being retrieved to the attribute differentiating captured crucial words, use to this solicited message carry out analyzing with understand after, corresponding command condition can be learnt, and this command condition is sent to servomechanism 103.For example, command condition can be " having up-to-date Japanese nuclear accident news to produce ", " designated speculative stock amount of increase is more than 2% " or " the 36 phase colour film is announced the winners in a lottery ".Servomechanism 103 according to this command condition, can be inquired about and whether possess corresponding prompting message, such as, and " content of up-to-date Japanese nuclear accident news ", " share price of designated speculative stock " or " prize-winning number of the 36 phase colour film ".In embodiments of the present invention, can carry out analyzing and understand to solicited message by message notifying device 200.In another embodiment of the invention, message notifying device 200 also solicited message can be sent to servomechanism 103 with by the various types of natural language processing modules in servomechanism 103 to differentiate may being intended to of solicited message.Or, further by retrieving the attribute differentiating captured crucial words to the structured database storing a large amount of words, can use and captured crucial words is analyzed and understood.Servomechanism 103 is after whether inquiry possesses the corresponding prompting message meeting command condition, and when having if judge the correlated condition possessing and meet order, corresponding prompting message can then be downloaded and store by message notifying device 200, and the person of connecing can be played back.In the concept of the embodiment of the present invention, owing to being the up-to-date information of the information category recording user's its wish concern set by servomechanism 103 regular (or instant), use the prompting message that inquiry is corresponding when receiving command condition, therefore, for the up-to-date information of the information category by message notifying device 200 regular (or instant) record user its wish concern set, the present invention can reduce power consumption and the workload of message notifying device 200 further.
In embodiments of the present invention, servomechanism 103 can inquire about the corresponding prompting message meeting command condition in specified time interval.This specified time interval can be a certain period of time interval that user sets, and also can be in user's leave message notifying device 200 time interval therebetween.For example, message notifying device 200 can because having a bath or having forgotten to be with factors such as going out, and stay on the table by user; After have passed through specified time interval, user gets back to a limit once again again and has picked up message notifying device 200.Now, because the latest news of the information category that user may be had therebetween to pay close attention at leave message notifying device 200 occurs, therefore message notifying device 200 may correspond to initial time and the termination time of this specified time interval, the prompting message of its correspondence downloaded from servomechanism 103 and stores, and then playing back to remind user.Followingly will to be described in further detail this.
Fig. 2 is the calcspar of the message notifying device according to one embodiment of the invention.As shown in Figure 2, message notifying device 200 comprises communication unit 210, storage element 230, broadcast unit 250, gyroscope 270 and control module 290.Control module 290 is coupled to communication unit 210, storage element 230, broadcast unit 250 and gyroscope 270.Communication unit 210 in order to servomechanism 103 communication, storage element 230 is in order to storage data, and broadcast unit 250 is in order to play message, and gyroscope 270 is in order to detect the angular velocity of message notifying device 200.Communication unit 210 can be wireless communications chips or module, or other have chip or the module of network connectivity function.Storage element 230 can be various types of data storing media.Broadcast unit 250 can be various types of data replay apparatus, such as loudspeaker, display or other data output device.Control module 290 can be various types of functional module, chip or microprocessor.Fig. 3 is the process flow diagram of the message Notification Method according to one embodiment of the invention.As shown in Figure 3, step S310 ~ S330 is comprised according to the message Notification Method of the embodiment of the present invention.Referring to Fig. 2 and Fig. 3.
In step S310, control module 290 judges whether that possessing message notifying device 200 starts to enter the very first time point (namely above-mentioned initial time) of stationary state and stop second time point (namely above-mentioned termination time) of stationary state.For example, message notifying device 200 can because having a bath or having forgotten to be with factors such as going out, and stay on the table by user, and thus message notifying device 200 enters stationary state at very first time point, now, the very first time can be put and is recorded in storage element 230 by control module 290.After having crossed specified time interval, user gets back to a limit once again again and has picked up message notifying device 200, thus message notifying device 200 terminates stationary state at the second time point, and now, the second time point also can be recorded in storage element 230 by control module 290.Control module 290 can judge whether to possess very first time point and the second time point by inquiry storage element 230.
In step s 320, if control module 290 judges that it possesses very first time point and the second time point, then at least one prompting message whether possessed between very first time o'clock to the second time point inquired about by servomechanism 103.For example, if control module 290 judges that it possesses very first time point and the second time point, namely this represent user may have left message notifying device 200 a period of time, now learnt very first time point is sent to servomechanism 103 inquires about with the second time point by control module 290, judges during this period of time whether have prompting message to produce.Such as, if user has missed call or do not read message during this period of time, then its prompting message can be " you have one logical missed call " or " you have do not read message first ".Described prompting message can also be the concern information that user sets, such as, and hot news, stock or lottery ticket etc.
In step S330, if servomechanism 103 possesses at least one prompting message, then message notifying device 200 is downloaded this at least one prompting message and is stored to storage element 230, and plays this at least one prompting message by broadcast unit 250.For example, if between the very first time point that user leaves and the second time point, user has missed call or does not read message, or have the concern information creating stock, lottery ticket or hot news, then message notifying device 200 can by prompting message " you have logical missed call " or " you have do not read message first ", or the specifying information of stock, lottery ticket or hot news that correspondence produces is downloaded and is stored to storage element 230, and play by broadcast unit 250.In embodiments of the present invention, the mode of broadcast unit 250 play cuing message can be play word or playing video, is not limited at this.
Fig. 4 is the process flow diagram of message Notification Method according to another embodiment of the present invention.As shown in Figure 4, step S401, S402, S410, S420 and S430 is comprised according to the message Notification Method of the embodiment of the present invention.Referring to Fig. 2 and Fig. 4.
In step S401, user can receive solicited message by message notifying device 200.For example, the solicited message of user can be " if there is up-to-date Japanese nuclear accident news; tell at once I ", " if having advance versus decline more than 2% in my self-selected stock, just notify at once I " or " if the 36 phase colour film has been left notify me at once ".As mentioned above, in embodiments of the present invention, user can carry out input request information to message notifying device 200 by voice utterance.In another embodiment of the invention, user also can carry out input request information by specific software interface or other various modes, is not limited at this.
In step S402, at least one crucial words in acquisition solicited message, to differentiate command condition and the setting threshold value of solicited message.In embodiments of the present invention, crucial words in solicited message can be captured to carry out analyzing and understanding by control module 290.In another embodiment of the invention, also solicited message can be sent to servomechanism 103, in servomechanism 103, then capture crucial words in solicited message to carry out analyzing and understanding.Crucial words can be the concern information of user kind, in order to express the words of order or other can in order to the predefine words analyzed and understand.In embodiments of the present invention, control module 290 differentiates may being intended to of solicited message by various types of natural language processing module, or can further by the structured database storing a large amount of words being retrieved to the attribute differentiating captured crucial words, use and captured crucial words is analyzed and understood, in the hope of the command condition of the correspondence in solicited message, such as, up-to-date Japanese nuclear accident news whether is had to produce, whether designated speculative stock amount of increase is more than 2%, or whether the 36 phase colour film announces the winners in a lottery.In addition, control module 290 also by the analysis of crucial words and can understand result to try to achieve threshold value to use in step S410.
In step S410, according to threshold value, control module 290 judges whether that possessing message notifying device 200 enters the point of the very first time after stationary state, and stops the second time point of stationary state.Threshold value can be time threshold or angular velocity threshold value.In embodiments of the present invention, control module 290 can detect the angular velocity of message notifying device 200 by gyroscope 270, to differentiate whether message notifying device 200 enters stationary state and whether stop stationary state, thus obtain very first time point and the second time point.For example, when the angular velocity of message notifying device 200 is less than angular velocity threshold value, then control module 290 can judge that message notifying device 200 enters stationary state, and when the angular velocity of message notifying device 200 be less than angular velocity threshold value and its duration overtime threshold value, then control module 290 can judge that user have left message notifying device 200, thus this time point is set as very first time point.If again after a period of time, when the angular velocity of message notifying device 200 is more than or equal to angular velocity threshold value, then control module 290 can judge that message notifying device 200 terminates stationary state (namely entering mobile status), in other words, control module 290 can judge that user has picked up message notifying device 200 once again, thus this time point is set as the second time point.As mentioned above, very first time point and the second time point can be recorded in storage element 230.In embodiments of the present invention, if message notifying device 200 itself has vibrating mode (such as, when having incoming call or having news in brief, then message notifying device 200 can enter vibrating mode), then angular velocity threshold value can be greater than the angular velocity that message notifying device 200 causes under vibrating mode, by this, then the message notifying device 200 under vibrating mode just can not be judged to enter mobile status by control module 290.In another embodiment of the invention, whether control module 290 can enter park mode by detection message notifying device 200 or whether receive touch-control input signal by detection message notifying device 200, judges whether message notifying device 200 enters or terminate stationary state.
In the step s 420, if control module 290 judges that it possesses very first time point and the second time point, then servomechanism 103 is inquired about it and whether is possessed at least one prompting message meeting command condition between very first time o'clock to the second time point.For example, if in the specified time interval between very first time point and the second time point, there occurs " up-to-date Japanese nuclear accident news produces ", " designated speculative stock amount of increase is more than 2% " or " the 36 phase colour film is announced the winners in a lottery ", then servomechanism 103 can have prompting message.In embodiments of the present invention, prompting message can be corresponding user pay close attention to the content of the latest news of information category itself, such as, " the report content of up-to-date Japanese nuclear accident news ", " share price of designated speculative stock " or " prize-winning number of the 36 phase colour film ".In another embodiment of the invention, prompting message can also be point out user produced its pay close attention to the message of the latest news content of information category, such as, " remind you; existing up-to-date Japanese nuclear accident news ", " dear user, your XXX stock has risen sharply " or " the 36 phase colour film announced the winners in a lottery Lei ".
In step S430, if servomechanism 103 possesses at least one prompting message, then message notifying device 200 is downloaded this at least one prompting message and is stored to storage element 230, and plays the voice of this at least one prompting message corresponding by broadcast unit 250.For example, if between the very first time point that user leaves and the second time point, by servomechanism 103, control module 290 judges that it has prompting message " the report content of up-to-date Japanese nuclear accident news ", " share price of designated speculative stock " or " prize-winning number of the 36 phase colour film ", then this prompting message downloaded and be stored to storage element 230, and being play by broadcast unit 250.In embodiments of the present invention, the content of prompting message can play back with voice mode by broadcast unit 250.
In sum, the present invention can receive the solicited message that user inputs with voice mode, and capture its crucial words to carry out the use of differentiation command condition and setting threshold value, at user's leave message notifying device therebetween, message notifying device can be detected according to this threshold value (time threshold or angular velocity threshold value) start to enter the very first time point of stationary state and stop the second time point of stationary state, and then when user brings back message notifying device, the prompting message meeting command condition can be inquired about in servomechanism, and prompting message is downloaded and is stored to message notifying device, come by voice mode play cuing message to remind user, thus reduce its probability ignoring important message.
Following by from another technological standpoint and the embodiment realizing this technological standpoint, the running between electronic installation 101 and servomechanism 103 is described.As shown in Figure 1, in another embodiment of the invention, electronic installation 101 and servomechanism 103 also can be used for the display packing performing landmark data.
In embodiments of the present invention, when user performs the search of specific landmark by electronic installation 101, place name key word can be inputted, and inputted place name key word just can be sent in servomechanism 103 by electronic installation 101, servomechanism 103 performs search to this place name key word, and then searched landmark data is sorted, to make the landmark data of the searching demand that may meet user, there is higher sequence cis-position.Finally, the ranking results of landmark data is sent back electronic installation 101 and shows by servomechanism again, and user is just therefrom looked for the most useful message.Then, in embodiments of the present invention, electronic installation 101 shows by the respective landmark names of map application by the landmark data in ranking results.In another embodiment of the invention, namely electronic installation 101 itself has the function of searching of specific place name and the function that sorts to searched landmark data, and therefore electronic installation 101 is just without the need to demonstrating the ranking results of landmark data again to user by servomechanism 103.
Landmark data can have specific characterized parameter.For example, different landmark data can have different popularity.Therefore, in the process of the sequence of landmark data, corresponding cis-position relation can just be produced.Therefore, in embodiments of the present invention, to input place name key word by electronic installation 101 to before the search performing specific landmark user, servomechanism 103 can carry out the calculating of popularity to existing landmark data.Followingly will to be described in detail this.
Fig. 5 is the process flow diagram of the display packing of landmark data according to one embodiment of the invention.Table 1 is the schematic diagram of the landmark data according to one embodiment of the invention.As shown in Figure 5, S510 ~ S550 is comprised according to the step of the display packing of the landmark data of the embodiment of the present invention.As shown in table 1, landmark data can have landmark names, objective hierarchical category, address, guide the popularity calculated by number of times and correspondence.Following referring to Fig. 5 and table 1.
[table 1]
In step S510, obtain multiple landmark data.For example, servomechanism 103 can obtain multiple landmark data by database or Search engine, is not limited at this.The multiple landmark data obtained can be stored in specific storing media with as landmark data storehouse.
In step S520, add up multiple landmark data address separately address reference number of times on the internet.For example, the address " No. 1, Pudong New Area, Shanghai century avenue " that servomechanism 103 can count " Oriental Pearl " by Search engine has been cited altogether 852318 times on the internet.Due to the randomness with height of landmark names itself, and if non-usage address reference number of times as the characterized parameter of the popularity of correspondence, be on the contrary use the landmark names of landmark data quote number of times, will likely produce great error.For example, when calculated address is the characterized parameter of the popularity of the businessman " Oriental Pearl " of " No. 31, East Road, Beijing, Xuanwu District, Nanjing industrial art building 9 floor ", if choice for use landmark names " Oriental Pearl " quote number of times, then the existence because of sight spot " Oriental Pearl " is produced great error.Otherwise the address corresponding to landmark data is normally unique, be thus quite objective standard with address reference number of times as the characterized parameter of popularity in this step.
In step S530, search multiple landmark data objective hierarchical category separately.In embodiments of the present invention, objective hierarchical category can be that generally acknowledged sight spot (such as, 1A level ~ 5A level) or the generally acknowledged hotel owner such as to comment comment etc. (such as, one star ~ six stats stage).For example, servomechanism 103 hunts out the sight spot that " Shanghai Wild Life Park " is " 3A level ", and " Falls at Hukou of the Yellow River " are the sight spot of " 4A level ", and " Falls at Hukou of the Yellow River hotel " is the hotel owner of " three-star ", and " South Beauty food and drink " is the hotel owner of " two stars ".In embodiments of the present invention, objective hierarchical category also can be class divide attribute.For example, " South Beauty industry " and " pretty woman's medium " are all the scale of " businessman ", and " comprehensive supermarket, Hua Lian, Beijing " is then the scale in " market "; " 217 " road belongs to " national highway ", and " 373 " belong to " provincial highway ", and " 048 " belongs to " county road ".Above-mentioned objective hierarchical category can have various other different objective definitions, is not limited at this.
In step S540, calculate multiple landmark data popularity separately according to the respective objective hierarchical category of multiple landmark data and address reference number of times.According to the embodiment of the present invention, address reference number of times is higher, then servomechanism 103 calculate the popularity of the landmark data of its correspondence can be higher.For example, " the South Beauty Art Design " that be similarly businessman is respectively " 293 " and " 531 " with the address reference number of times of " South Beauty industry ", and the popularity therefore calculated corresponding to " South Beauty industry " can be greater than " South Beauty Art Design ".According to the embodiment of the present invention, the rank of objective hierarchical category is higher, then servomechanism 103 calculate the popularity of the landmark data of its correspondence can be higher.For example, address is similarly " No. 515, The East Pagoda building 5, mansion, No. 1 Sichuan, Fuwai Avenue, Xicheng District, Beijing floor " and address reference number of times is similarly " the comprehensive supermarket, Hua Lian, Beijing " and " McDonald " of " 5236 ", because " comprehensive supermarket, Hua Lian, Beijing " is " market ", and " McDonald " is " businessman " in this market, the popularity therefore calculated corresponding to " comprehensive supermarket, Hua Lian, Beijing " can be greater than " McDonald ".Similarly, if road, then the popularity of " 217 national highway " can be greater than " 373 provincial highway " and " 048 county road ".
In step S550, according to multiple landmark data popularity separately, multiple landmark data is shown in electronic installation 101.For example, after the popularity of landmark data and correspondence has calculated by servomechanism 103, result can be sent back electronic installation 101, then electronic installation 101 can demonstrate landmark data according to the sequence of popularity again.
According to another embodiment of the present invention, step S510 ~ S550 can all be executed in electronic installation 101, or the part steps in step S510 ~ S550 can be executed in electronic installation 101, and other part steps can be executed in servomechanism 103, both reach communication to each other and coordination by the Internet therebetween, are not limited at this.
Fig. 6 is the process flow diagram of the display packing of landmark data according to one embodiment of the invention.As shown in Figure 6, S510 ~ S530, S541, S542 and S550 is comprised according to the step of the display packing of the landmark data of the embodiment of the present invention.Followingly to explain for above-mentioned difference.Under be listed in when calculating the popularity of landmark data, can further perform step S541 and S542.
In step S541, the respective objective hierarchical category of multiple landmark data and address reference number of times are converted to corresponding conversion value.For example, in an embodiment of the present invention, comment if objective hierarchical category is generally acknowledged sight spot, then the conversion value of " 1A level ", " 2A level ", " 3A level ", " 4A level " and " 5A level " correspondence can be respectively 20,40,60,80 and 100; Comment if objective hierarchical category is generally acknowledged hotel owner, then the conversion value of " star ", " two stars ", " three-star ", " four-star ", " five-star " and " six stats stage " correspondence can be respectively 20,40,60,80,100 and 120.If objective hierarchical category is class divide attribute, then the conversion value that " businessman " and " market " is corresponding can be respectively 20 and 80; The conversion value of " national highway ", " provincial highway " and " county road " correspondence can be respectively 30,60 and 90.In an embodiment of the present invention, address reference number of times be converted to corresponding conversion value can by natural logarithm function (ln x) × 10 to do computing.For example, the address reference number of times of " 4A level " sight spot " Oriental Pearl " is 852318, then the conversion value of its correspondence can be (ln852318) × 10=136.56; If zero-address data, being then converted to of its correspondence can be 0.Above-mentioned respective value and the account form of respective value can adjust according to various situation and change, and are not limited at this.
In step S542, according to objective hierarchical category and conversion value corresponding to address reference number of times and weighted value, calculate the popularity of landmark data.In an embodiment of the present invention, the weighted value that objective hierarchical category is corresponding can be 0.4, the weighted value that address reference number of times is corresponding can be 0.6, and the computing formula of the popularity of landmark data can be: (conversion value of objective hierarchical category) × 0.4+ (conversion value of address reference number of times) × 0.6.For example, the popularity of " 4A level " sight spot " Oriental Pearl " is (80) × 0.4+ ((ln852318) × 10) × 0.6=113.94, and the popularity of " the South Beauty industry " of " businessman " scale is (20) × 0.4+ ((ln531) × 10) × 0.6=45.66.
As mentioned above, after the landmark data storehouse construction in electronic installation 101 or servomechanism 103 completes, user can perform the search of specific landmark.Followingly will to be described in detail this.
Fig. 7 is the process flow diagram of the display packing of landmark data according to one embodiment of the invention.As shown in Figure 7, step S710 ~ S740 is comprised according to the display packing of the landmark data of the embodiment of the present invention.
In step S710, receive place name key word.For example, when user is for searching specific landmark, just place name key word can be inputted by electronic installation 101 with voice or manual mode.
In step S720, search at least one landmark data whether having corresponding place name key word.For example, now electronic installation 101 can search whether there is relevant landmark data by built-in landmark data storehouse, or place name key word is sent to servomechanism 103 and searches whether there is relevant landmark data.If search, then then perform step S730, if do not search, then continue another place name key word of wait-receiving mode.
In step S730, if search at least one landmark data, then according at least one landmark data popularity separately, matching degree and distance mark, sort at least one landmark data.For example, when searching relevant landmark data, because relevant terrestrial reference data bulk may be very many, therefore in order to press close to user for the general sense organ of terrestrial reference or cognitive custom, can sort by the characterized parameter corresponding to relevant landmark data, inquire about to save user the mental and physical efforts spent.In embodiments of the present invention, relevant characterized parameter corresponding to landmark data is except above-mentioned popularity (being relevant to objective hierarchical category and address reference number of times added up on the internet), also can further there is the matching degree of relevant landmark data (such as, the matching degree of word) and distance mark (such as, the distance degree of terrestrial reference and user).But in another embodiment of the invention, the characterized parameter corresponding to landmark data can be one of them person in popularity, matching degree and distance mark, is not limited at this.
In step S740, sorted at least one landmark data is shown in electronic installation 101.Now, user by the landmark data of electronic installation 101 after multiple sequence being relevant to inputted place name key word, can inquire about the most useful landmark data.
Fig. 8 is the process flow diagram of the display packing of landmark data according to another embodiment of the present invention.As shown in Figure 8, step S710, S720, S731 ~ S733 and S740 is comprised according to the display packing of the landmark data of the embodiment of the present invention.Followingly to explain for above-mentioned difference.Under when being listed in the landmark data of the corresponding place name key word that sequence hunts out, can further perform step S731 ~ S733.
In step S731, according to the respective landmark names of at least one landmark data and place name key word, calculate at least one landmark data matching degree separately.In other words, namely its matching degree is calculated according to the matching degree of hunted out landmark data to place name key word.For example, if the place name key word of user's input is " South Beauty ", then the matching degree of " South Beauty food and drink ", " South Beauty Art Design " and " South Beauty industry ", all can higher than the matching degree of " pretty woman's medium ".
In step S732, according at least one landmark data position separately and the position of electronic installation 101, calculate at least one landmark data distance mark separately.In other words, namely its distance mark is calculated according to the relative position of hunted out landmark data to electronic installation 101.For example, if user is positioned at Beijing and inputs place name key word " South Beauty " to electronic installation 101, then be positioned at the distance mark of " the South Beauty food and drink " and " South Beauty Art Design " of Beijing, all can higher than the distance mark of " South Beauty industry " being positioned at Suzhou City.
In step S733, according to popularity, matching degree and distance mark and the weighted value of its correspondence, sort at least one landmark data.For example, electronic installation 101 according to different demands, can define popularity, matching degree and the weighted value of distance corresponding to mark, uses and determines that popularity, matching degree and distance mark are respectively for the influence degree of ranking results.
By this, the landmark data after characterization can allow user when inquiring about specific landmark, search result of its display be according to user general sense organ or cognitive custom sorts, thus save the query time of user.
In sum, the conversion value of the present invention corresponding to the address reference number of times of multiple landmark data and objective hierarchical category and weighted value calculate its popularity, after reception place name key word, its matching degree is calculated according to the hunted out matching degree of relevant landmark data to place name key word, its distance mark is calculated according to the hunted out relative position of relevant landmark data to electronic installation, and by popularity, matching degree and distance mark sort searched relevant landmark data, so that the relevant landmark data after sequence is shown in electronic installation.
Followingly from another technological standpoint, the running between electronic installation 101 and servomechanism 103 will be described.As shown in Figure 1, in another embodiment of the invention, electronic installation 101 and servomechanism 103 also can be used for the region labeling method performing data file.In addition, the present embodiment describe in, the citing of electronic installation 101 will be represented with region labelling apparatus 900.In other words, electronic installation 101 and region labelling apparatus 900 can be and be equal in fact mutually and interchangeable device.
User can be come and servomechanism 103 communication by network by region labelling apparatus 900, uses and obtains data file or the reference information in order to flag data file.In embodiments of the present invention, data file can be Internet news.For example, first, after Internet news editor obtains a large amount of Internet news, regional classification is carried out to Internet news, then can carry out regional mark to Internet news.In embodiments of the present invention, Internet news editor can to obtain region title by region labelling apparatus 900 reference information from servomechanism 103 goes out specific tree structure with construction, uses as the analysis contents attribute of Internet news and the use to its mark.In another embodiment of the invention, Internet news editor also directly can obtain from servomechanism 103 the specific tree structure that construction completes by region labelling apparatus 900.Namely each node in this tree structure represents each specific region title, and can learn the administrative area title of each specific region title all stratum on it by this tree structure.Region title can comprise administrative area title and significant title, and the node belonging to significant title can be the most end stratum at tree structure, wherein significant title can be place name or sight name, or any there are regional name, public organization's title or other titles etc., do not limited at this.By this, for example, arbitrary sight spot or the area belonging to public organization why (i.e. its each father node) can be learnt in tree structure.Then, region labelling apparatus 900 can be analyzed each Internet news and whether have regional content (key word as place name), if this regional content can meet any node in tree structure, then region labelling apparatus 900 by met node, can mark its Internet news.In other words, Internet news editor can make the Internet news with regional content have corresponding regional Characteristics by region labelling apparatus 900, so that the mark completed each Internet news or region classification, such as, certain Internet news is the classification belonging to which area.Followingly will to further illustrate this.
Fig. 9 is the calcspar of the region labelling apparatus of data file according to one embodiment of the invention.As shown in Figure 9, region labelling apparatus 900 comprises taxon 910, acquisition unit 930, comparing unit 950, indexing unit 970 and storage data storehouse 990.Comparing unit 950 is coupled to acquisition unit 930, and indexing unit 970 is coupled to comparing unit 950, and storage data storehouse 990 is coupled to taxon 910, acquisition unit 930, comparing unit 950 and indexing unit 970.Taxon 910, acquisition unit 930, comparing unit 950, indexing unit 970 can be various forms of functional module or microprocessor, and storage data storehouse 990 can be various forms of storing media.Figure 10 is the process flow diagram of the region labeling method of data file according to one embodiment of the invention.As shown in Figure 10, step S1010 ~ S1040 is comprised according to the region labeling method of the embodiment of the present invention.Figure 11 is the schematic diagram of the tree structure according to one embodiment of the invention.Following referring to Fig. 9, Figure 10 and Figure 11.
In step S1010, taxon 910 obtains tree structure by network.In embodiments of the present invention, this tree structure can possess multiple node, this multiple node can comprise multiple administrative areas title and significant title, and can social strata relation be had between this multiple administrative areas title and significant title, in addition, obtained tree structure can be stored in storage data storehouse 990 by taxon 910.For example, as shown in figure 11, each node of this tree structure can comprise the administrative area title of Chinese each stratum and the sight name in it, and the social strata relation that may correspond between the upper lower node of tree structure between its administrative area or sight spot, such as, its each province or municipality directly under the Central Government can be comprised under the node " China " (as Shanghai, Jiangsu Province and Anhui Province etc.) child node, its each subregion can be comprised (as Pudong New District under node " Shanghai ", Huangpu District and Jing'an District etc.) child node, its each sight spot can be comprised (as Century Park under node " Pudong New District ", Oriental Pearl and Jin Mao Tower etc.) child node.In addition, as mentioned above, significant title has regional name and public organization's title, and as shown in figure 11, node " Shanghai " further can comprise the child node of its professional basketball team " Shanghai shark " and the child node of its mayor " Yang Xiong ".
In step S1020, acquisition unit 930 by network reception data file, and captures at least one key word from data file.For example, acquisition unit 930 by network to receive a large amount of Internet news from servomechanism 103 and to be stored to storage data storehouse 990, and various regional key word in the content of the Internet news received, can be comprised, such as " Jiangsu Province " or " Oriental Pearl " etc., acquisition unit 930 just can analyze its content to capture out by this key word.
In step S1030, comparing unit 950 can at least one key word of comparison and multiple node, to find out the first node with at least one keyword match.For example, the administrative area title of each stratum of known China and the place name in it or sight name has been included in above-mentioned tree structure, if capture key word " Oriental Pearl " from the content of Internet news, then then can search tree structure, and have found the first node being all " Oriental Pearl ".Namely this represent Internet news belonging to this key word " Oriental Pearl " for this tree structure, is to have regional feature and for classifiable.In embodiments of the present invention, comparing unit 950 can find by the algorithm of various tree structure the first node met, and is not limited at this.
In step S1040, indexing unit 970 can mark the first node at least one father node relevant to first node in data file.For example, if from tree structure, can search the first node of the key word " Oriental Pearl " met in Internet news, then its relevant father node is " Pudong New District ", " Shanghai " and " China ".Therefore, Internet news belonging to key word " Oriental Pearl " is except can being marked with first node " Oriental Pearl ", also the administrative area of each stratum on " Oriental Pearl " can be marked with, each father node " Pudong New District " namely on first node " Oriental Pearl ", " Shanghai " and " China ".
Figure 12 is the process flow diagram of the region labeling method of data file according to another embodiment of the present invention.As shown in figure 12, step S1011 ~ S1013, S1021 ~ S1022, S1031 ~ S1033 and S1041 ~ S1042 is comprised according to the region labeling method of the embodiment of the present invention.Figure 13 A ~ Figure 13 D is the schematic diagram of the construction process of tree structure according to one embodiment of the invention.
In step S1011, taxon 910 obtains region title.For example, taxon 910 obtains the reference information at each stratum administrative area about China and sight spot in it from servomechanism 103 by network, this reference information can be present with the cognizable form of various taxons 910, is not limited at this.Taxon 910 can obtain each region title one by one according to this reference information, and as shown in FIG. 13A, when having node " China " in tree structure, taxon 910 achieves administrative area title " Shanghai ".
In step S1012, taxon 910 judges whether region title is subordinated to the Section Point in tree structure.If taxon 910 is judged as YES, then then can perform step S1013.Section Point can be the node in acquired region title area belonging to minimum stratum in tree structure.For example, as shown in FIG. 13A, when having had node " China " in tree structure, taxon 910 has achieved administrative area title " Shanghai ", and now taxon 910 can judge that the Section Point of administrative area title " Shanghai " institute subordinate can be the dotted line node 1301 in Figure 13 A.
In step S1013, region title is added tree structure by taxon 910.For example, as shown in FIG. 13A, then taxon 910 just can carry out corresponding acquired administrative area title by construction egress " Shanghai " in tree structure.
In step S1014, taxon 910 judges whether construction completes tree structure.If tree structure construction completes, then perform step S1021.If the non-construction of tree structure completes, then above-mentioned steps S1011 ~ step S1013 can constantly circulate execution.For example, in Figure 13 B, taxon 910 can judge that the Section Point belonging to administrative area title " Pudong New District " is dotted line node 1302 and is added, in Figure 13 C, taxon 910 can judge that the Section Point belonging to sight name " Century Park " is dotted line node 1303 and is added, in Figure 13 D, taxon 910 can judge that the Section Point belonging to sight name " Oriental Pearl " is dotted line node 1304 and is added, said process will constantly repeat, until taxon 910 is by the information at each stratum administrative area of obtained relevant China and the sight spot in it, be construed as each node in tree structure seriatim, as shown in figure 11.The construction process of above-mentioned tree structure can be reached by the relevant algorithm of various tree structure, is not limited at this.As mentioned above, as shown in figure 11, after tree structure construction completes, namely each node of tree structure includes the administrative area title of Chinese each stratum and the sight name in it, and may correspond to the social strata relation between its administrative area or sight spot between the upper lower node of tree structure.
In step S1021, acquisition unit 930 captures at least one key word by the title of data file or text.For example, the content due to Internet news can comprise the content of title and the content of text, and therefore acquisition unit 930 can capture key word from the content of the content of title and text, uses the foundation as the regional Characteristics differentiating its Internet news.
In step S1022, acquisition unit 930 is by least one key word of the source capturing of data file.In embodiments of the present invention, the source of data file can comprise the site of scene that data file is correlated with and data file supplier.For example, because the title of Internet news and the content of text can not include any regional key word, therefore acquisition unit 930 can capture key word from the relevant scene of Internet news further, such as, if Internet news is published in the field of particular web portal " Huangpu District local items ", then acquisition unit 930 can be used and capture key word " Huangpu District ", or, acquisition unit 930 can capture key word from the site of Internet news supplier further, such as, if Internet news issued by newspaper office's " Shanghai Daily ", then acquisition unit 930 can be used and capture key word " Shanghai ", or, if Internet news issued by newspaper office " Xinmin Evening News ", and the location of newspaper office " Xinmin Evening News " is in Shanghai, therefore acquisition unit 930 still can by table look-up or according to relevant information, obtain key word " Shanghai ".
In step S1031, the weight that comparing unit 950 is corresponding at least one keyword definition respectively.This weight can represent the influence degree of its corresponding key word for the regional Characteristics of affiliated data file.In other words, the weight corresponding to key word is higher, then comparing unit 950 is higher with the possibility of the next regional Characteristics as differentiating affiliated data file of this key word.For example, as mentioned above, key word corresponding to Internet news can from the text of Internet news, title or obtain according to the site of its relevant scene and supplier thereof, and the key word acquired by different source may correspond to different weights, such as, if the weight of the key word captured according to the scene of Internet news is A, the weight of the key word captured from the title of Internet news is B, the weight of the key word captured from the text of Internet news is C, the weight of the key word captured according to the site of the supplier of Internet news is D, then its relativeness can be A>B>C>D.But the relativeness of above-mentioned weight can have other arrangement and variation, is not limited at this.
In step S1032, comparing unit 950 searches tree structure, whether to have first node in comparison tree structure, and administrative area title included by its first node or significant title identical with one of them of at least one key word.If comparing unit 950 judges to have first node in tree structure, then then perform step S1033.As described in step S1031, because calculated weight can represent the influence degree of its corresponding key word for the regional Characteristics of affiliated data file, thus in embodiments of the present invention, the weight that comparing unit 950 can be further corresponding according to key word carrys out the cis-position reference as comparison key word and node.For example, as mentioned above, consolidated network news can have the key word captured according to the scene of Internet news and the key word captured from the text of Internet news simultaneously, now, weight due to the key word captured according to the scene of Internet news can be greater than the weight of the key word captured from the text of Internet news, therefore, comparing unit 950 will preferentially use the key word captured according to the scene of Internet news, uses search tree structure.The person of connecing, the first node that comparing unit 950 can find by the search algorithm method of tree structure, and administrative area title included by this first node or significant title identical with the key word preferentially made for searching.In embodiments of the present invention, the search algorithm method of above-mentioned tree structure can be reached by various should being used for, and is not limited at this.
In step S1033, comparing unit 950 finds out at least one father node relevant to first node in tree structure.By stratum's characteristic that tree structure itself has, comparing unit 950 can look for its each father node from the Ge Shang stratum of first node.For example, as shown in figure 11, if first node is " Oriental Pearl ", then its relevant father node is " Pudong New District ", " Shanghai " and " China ".
In step S1041, at least one father node that indexing unit 970 is relevant to first node according to first node, sets up corresponding multiple labels.For example, when comparing unit 950 have found the first node of the Internet news including key word " Oriental Pearl ", then indexing unit 970 is except can setting one of them of multiple labels of Internet news for this reason by " Oriental Pearl ", more a step " Pudong New District ", " Shanghai " and " China " can also be set the label of Internet news for this reason.The mode setting up label can be record the title of its corresponding first node and relevant father node, or captures its corresponding first node and the link of relevant father node, is not limited at this.
In step S1042, indexing unit 970 link multiple label and data file with complete mark and storage data file in storage data storehouse 990.For example, when including each label " Oriental Pearl " of Internet news of key word " Oriental Pearl ", after " Pudong New District ", " Shanghai " and " China " all set up, these labels are linked to corresponding Internet news by indexing unit 970.Linking the mode of label can be the content increasing its corresponding first node and the title of relevant father node in Internet news, or adds its corresponding first node and the link of relevant father node in Internet news, is not limited at this.
In sum, the present invention carrys out by the Section Point adding corresponding region title one by one the tree structure that construction goes out to have multiple node, to make, between the administrative area title included by multiple node and significant title, there is social strata relation, and according to the title content of data file, body matter, the site of relevant scene and data file supplier, obtain regional key word, and defining the weight corresponding to each key word with the cis-position as comparison key word and tree structure with reference to afterwards, find out mated first node with its father node to be marked on corresponding data file, to make data file, there is corresponding regional Characteristics.
Followingly from another technological standpoint, the running between electronic installation 101 and servomechanism 103 will be described.As shown in Figure 1, in another embodiment of the invention, electronic installation 101 and servomechanism 103 also can be used for the sort method performing data file.
In embodiments of the present invention, when having the data file of unknown rank at present in electronic installation 101, the data file of current for the unknown rank can be uploaded to servomechanism 103 does content analysis to it, then produce the prediction rank of the unknown data file of rank at present by sequence algorithm and sort, finally again its result being sent back in electronic installation 101.In embodiments of the present invention, if the prediction rank of the unknown data file of rank is at present before 100, then this data file is important, if the prediction rank of the unknown data file of rank is at present after 100, then this data file is inessential.In embodiments of the present invention, receive the data file of unknown rank at present at servomechanism 103 before, servomechanism 103 can produce sequence algorithm by the data file of multiple known current rank.In another embodiment of the invention, electronic installation 101 itself can produce sequence algorithm by the data file of multiple known current rank, therefore, electronic installation 101 does not need the prediction rank that just can be obtained the unknown data file of rank at present by servomechanism 103.The following details that the prediction rank producing sequence algorithm and generation data file will be described in detail in detail.
Figure 14 is the process flow diagram of the sort method of data file according to one embodiment of the invention.As shown in figure 14, S1410 ~ S1450 is comprised according to the step of the sort method of the data file of the embodiment of the present invention.Table 2 is the schematic diagram of the data file of known current rank according to the embodiment of the present invention.Table 3 is the schematic diagram of the data file according to the current rank of the unknown of the embodiment of the present invention.In embodiments of the present invention, data file can be news file.As shown in table 2 and table 3, the content of data file can comprise title content and body matter.Following referring to Figure 14, table 2 and table 3.
[table 2]
[table 3]
In step S1410, from the content of multiple data file, capture multiple keyword.For example, respective keyword can be captured in the content of data file 1 ~ 4.Such as, in the title content of data file 1, fechtable goes out keyword " two Conferences ", Yi Ji, and in the body matter of data file 1, fechtable goes out keyword " National People's Congress ", " CPPCC ", " Xi Jinping ", " Hu Jintao " and " two sides ".
In step S1420, retrieve the keyword rank corresponding to multiple keyword by Search engine.For example, " 152 ", " 96 ", " 135 ", " 33 ", " 47 " and " 95 " can be respectively by Search engine in the keyword rank that the keyword " two Conferences " of data file 1, " National People's Congress ", " CPPCC ", " Xi Jinping ", " Hu Jintao " and " two sides " are corresponding.In embodiments of the present invention, keyword rank can be inquire by google Search engine the same day, when week or of that month keyword rank, do not limited at this.
In step S1430, search the keyword categories corresponding to multiple keyword.For example, the keyword categories searched corresponding to the keyword " two Conferences " of data file 1, " National People's Congress ", " CPPCC ", " Xi Jinping ", " Hu Jintao " and " two sides " can be respectively " political meeting ", " political meeting ", " political meeting ", " politician ", " politician " and " international relations ".In embodiments of the present invention, by encyclopaedia database (such as, wikipedia) or other databases with classification mechanism to search the keyword categories of its correspondence, do not limited at this.
In step S1440, according to the respective keyword rank of multiple keyword, multiple keyword and keyword categories and multiple data file current rank separately, to produce sequence algorithm.For example, by keyword, the keyword rank of its keyword and the current rank (25,38,67 and 184) of keyword categories and data file 1 ~ 4 that the data file 1 ~ 4 in table 2 is respective had, producing can in order to predict the sequence algorithm of the prediction rank of another data file.In embodiments of the present invention, can be set as multiple keyword, multiple keyword keyword rank separately and keyword categories sorting the input of algorithm, and be the output of sequence algorithm by multiple data file current ranking setting separately, to produce sequence algorithm.Because the keyword rank of keyword that has with data file and the current rank of data file itself have correlativity, therefore when having the data file of sufficient amount, sequence algorithm can be had and carry out its relation corresponding.In addition, keyword categories may correspond to the weighted value of its keyword, in other words, by the keyword categories of keyword, can decide the influence degree of keyword for the current rank of data file.In embodiments of the present invention, when producing sequence algorithm, the class weight parameter of keyword categories and the rank weight parameter of keyword rank can be pre-defined out, and in a large amount of test result, therefrom adjust and change class weight parameter and rank weight parameter, until the sequence input value of algorithm and the result of output valve are in accuracy permissible range.In another embodiment of the invention, when producing sequence algorithm, can by curve-fitting method inquire into by or approximately through finite sequence data point (such as, the sequence input value of algorithm and output valve) analog function (such as, analytical function), and curve-fitting method can be least square method, do not limited at this.
In step S1450, be used for calculating the prediction rank of another data file by the algorithm that sorts.For example, current rank due to data file 5 is unknown, after the data file 1 ~ 4 of above tries to achieve sequence algorithm, then can capture the keyword rank of the keyword of data file 5 and the keyword of inquiry file 5 and keyword type and input this algorithm that sorts, the prediction rank that can calculate data file 5 is 360, and can sorting data file 5 by this.
As mentioned above, in embodiments of the present invention, the data file 5 of current for the unknown rank can be sent to servomechanism 103 by electronic installation 101, perform step S1410 ~ S1440 to produce sequence algorithm by servomechanism 103 and perform step S1450 to produce the prediction rank of data file 5 with to its sequence, finally again its result is sent back in electronic installation 101.And in another embodiment of the invention, step S1410 ~ S1450 all can be executed in electronic installation 101, do not limited at this.
Figure 15 is the process flow diagram of the sort method of data file according to one embodiment of the invention.As shown in Figure 3, S1410 ~ S1430, S1441, S1442 and S1450 is comprised according to the step of the sort method of the data file of the embodiment of the present invention.Followingly to explain for above-mentioned difference.In embodiments of the present invention, step S1441, S1442 can further be performed to produce sequence algorithm.
In step S1441, multiple keyword keyword categories is separately converted to multiple keyword categories conversion value.For example, can by the mode of tabling look-up or specific formulation calculates, by the keyword categories " political meeting " of data file 1, " politician " and " international relations " is converted to keyword categories conversion value 10, 20 and 30, by the keyword categories " intelligent mobile phone " of data file 2, " scientific & technical corporation ", " scientific and technological personage " and " country " is converted to keyword categories conversion value 40, 50, 60 and 70, the keyword categories " program " of data file 3 and " singer " are converted to keyword categories conversion value 80 and 90, by the keyword categories " team " of data file 4, " sportsman " and " city " is converted to keyword categories conversion value 100, 110 and 120.Above-mentioned lifted keyword categories conversion value is the purposes as illustrating, is not limited at this.
In step S1442, the respective keyword rank of multiple keyword and keyword categories conversion value are set as the field of definition of analog function, be the codomain of analog function by the current ranking setting of multiple data file, use the analog function produced in order to perform sequence algorithm.For example, if parameter corresponding to keyword rank is x 0, x 1, x 2, x 3, x 4and x 5, the parameter that keyword categories is corresponding is y 0, y 1, y 2, y 3, y 4and y 5, and analog function is f (x 0, x 1, x 2, x 3, x 4, x 5, y 0, y 1, y 2, y 3, y 4, y 5), then the data file in the table of comparisons 1, for analog function f (x 0, x 1, x 2, x 3, x 4, x 5, y 0, y 1, y 2, y 3, y 4, y 5), x 0field of definition comprises 152,21,17 and 139, x respectively 1field of definition comprises 96,57,53 and 87, x respectively 2field of definition comprises 135,42,66 and 106, x respectively 3field of definition comprises 33,108,0 and 127, x respectively 4field of definition comprises 47,317,0 and 0, x respectively 5field of definition comprises 95,96,0 and 0, y respectively 0field of definition comprises 10,40,80 and 100, y respectively 1field of definition comprises 10,50,90 and 110, y respectively 2field of definition comprises 10,60,90 and 120, y respectively 3field of definition comprises 20,60,0 and 120, y respectively 4field of definition comprises 20,70,0 and 0, y respectively 5field of definition comprises 30,50,0 and 0 respectively, analog function f (x 0, x 1, x 2, x 3, x 4, x 5, y 0, y 1, y 2, y 3, y 4, y 5) codomain comprise 25,38,67 and 184 respectively, then can produce analog function f (x by a large amount of test results 0, x 1, x 2, x 3, x 4, x 5, y 0, y 1, y 2, y 3, y 4, y 5), or analog function f (x can be inquired into by curve-fitting method 0, x 1, x 2, x 3, x 4, x 5, y 0, y 1, y 2, y 3, y 4, y 5).In embodiments of the present invention, analog function can be one of them of linear function and nonlinear function.
In step S1450, be used for calculating the prediction rank of another data file by the algorithm that sorts.For example, as mentioned above, after producing the analog function in order to perform sequence algorithm, the prediction rank calculating data file 5 can be used.Such as, the keyword rank first capturing the keyword of data file 5 is respectively 262,396,137 and 192, and (it is corresponding x respectively 0, x 1, x 2and x 3, and x 4=x 5=0), then the keyword categories of keyword searching data file 5 is respectively " scientific and technological personage ", " Venture Capital "tibco software, inc." "TIBCO Software, " scientific & technical corporation " and " scientific & technical corporation ", and its keyword categories respective value can be 60,130,50 and 50 respectively, and (it is corresponding y respectively 0, y 1, y 2and y 3, and y 4=y 5=0), above-mentioned tried to achieve analog function f (x is inputted 0, x 1, x 2, x 3, x 4, x 5, y 0, y 1, y 2, y 3, y 4, y 5) after, the prediction rank can trying to achieve data file 5 is f (262,396,137,192,0,0,60,130,50,50,0,0)=360, and can sorting data file 5 by this.
As mentioned above, in embodiments of the present invention, the data file 5 of current for the unknown rank can be sent to servomechanism 103 by electronic installation 101, perform step S1410 ~ S1430, S1441 and S1442 to produce sequence algorithm by servomechanism 103 and perform step S1450 to produce the prediction rank of data file 5 with to its sequence, finally again its result is sent back in electronic installation 101.And in another embodiment of the invention, step S1410 ~ S1430, S1441 ~ S1442 and S1450 all can be executed in electronic installation 101, do not limited at this.
In sum, the present invention is by the keyword in the multiple data file of acquisition, and by keyword, the keyword rank retrieved and the conversion value corresponding to the keyword categories hunted out are set as the field of definition of analog function, after the known current ranking setting of multiple data file is the codomain of analog function, then analog function can be produced by the class weight parameter of definition and rank weight parameter in a large amount of test result, or analog function can be inquired into by curve-fitting method, finally recycle analog function and perform the prediction rank that sequence algorithm calculates another data file, with another data file that sorts.
Although the present invention discloses as above with embodiment; so itself and be not used to limit the present invention; those skilled in the art under the premise without departing from the spirit and scope of the present invention, can do a little change and retouching, therefore protection scope of the present invention is as the criterion with claim of the present invention.

Claims (9)

1. a display packing for landmark data, be applicable to servomechanism and the electronic installation of mutual communication, this display packing comprises:
Add up multiple landmark data address separately address reference number of times on the internet;
Search these landmark data objective hierarchical category separately;
These landmark data popularity is separately calculated according to respective this objective hierarchical category of these landmark data and this address reference number of times; And
According to these landmark data this popularity separately, so that these landmark data are shown in this electronic installation.
2. display packing as claimed in claim 1, wherein this objective hierarchical category and this address reference number of times have corresponding weighted value.
3. display packing as claimed in claim 1, calculates the step of each this popularity self-corresponding of these landmark data, also comprises:
Respective this objective hierarchical category of these landmark data and this address reference number of times are converted to corresponding conversion value.
4. display packing as claimed in claim 1, wherein this objective hierarchical category is for generally acknowledging sight spot and to comment etc. and generally acknowledged hotel owner commenting etc. one of them.
5. display packing as claimed in claim 1, wherein this objective hierarchical category is class divide attribute.
6. a display packing for landmark data, is applicable to electronic installation, comprising:
Receive place name key word;
Search and whether have should at least one landmark data of place name key word;
If search this at least one landmark data, then according to this at least one landmark data popularity separately, matching degree and distance mark, sort this at least one landmark data; And
This sorted at least one landmark data is shown in this electronic installation,
Wherein, this at least one landmark data this popularity is separately relevant to this at least one landmark data objective hierarchical category separately and address reference number of times added up on the internet.
7. display packing as claimed in claim 6, wherein the scoring of this popularity, this matching degree and this distance has corresponding weighted value separately.
8. display packing as claimed in claim 6, wherein according to this at least one landmark data this popularity separately, this matching degree and this distance mark, the step of this at least one landmark data that sorts, also comprises:
According to the respective landmark names of this at least one landmark data and this place name key word, calculate this at least one landmark data this matching degree separately; And
According to the distance between the position of the respective position of this at least one landmark data and this electronic installation, calculate this at least one landmark data this distance mark separately.
9. display packing as claimed in claim 6, is wherein shown in the step of this electronic installation, also comprises by this sorted at least one landmark data:
Sorted this at least one landmark data landmark names is separately shown by map application.
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