CN104715012A - Network entity city-level landmark mining algorithm based on Internet forum - Google Patents
Network entity city-level landmark mining algorithm based on Internet forum Download PDFInfo
- Publication number
- CN104715012A CN104715012A CN201510020107.7A CN201510020107A CN104715012A CN 104715012 A CN104715012 A CN 104715012A CN 201510020107 A CN201510020107 A CN 201510020107A CN 104715012 A CN104715012 A CN 104715012A
- Authority
- CN
- China
- Prior art keywords
- terrestrial reference
- forum
- candidate
- address
- landmark
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000005065 mining Methods 0.000 title claims abstract description 19
- 238000000034 method Methods 0.000 claims abstract description 12
- 230000008878 coupling Effects 0.000 claims description 9
- 238000010168 coupling process Methods 0.000 claims description 9
- 238000005859 coupling reaction Methods 0.000 claims description 9
- 241000239290 Araneae Species 0.000 claims description 2
- 238000012216 screening Methods 0.000 abstract 1
- 238000007430 reference method Methods 0.000 description 9
- 238000001514 detection method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000013507 mapping Methods 0.000 description 3
- 238000012795 verification Methods 0.000 description 3
- 238000009412 basement excavation Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 230000004807 localization Effects 0.000 description 2
- 102000000584 Calmodulin Human genes 0.000 description 1
- 108010041952 Calmodulin Proteins 0.000 description 1
- 241000270322 Lepidosauria Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 239000000725 suspension Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- 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
-
- 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
Landscapes
- 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)
- Remote Sensing (AREA)
- Information Transfer Between Computers (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention discloses a network entity city-level landmark mining algorithm based on an Internet forum. The algorithm comprises a landmark obtaining procedure and a landmark assessing procedure. The landmark obtaining procedure comprises the following steps: firstly, selecting the Internet forum for mining a landmark, obtaining all HTML pages of the forum, extracting all IP address fields out of the HTML pages, removing repeated IP address fields, and screening out the IP address fields consistent with multiple IP positioning databases in geographic location; retaining the IP address fields consistent with geographical location information implied in the forum as final candidate landmarks; the landmark assessing procedure comprises the steps of verifying the candidate landmarks by means of an assessment algorithm, and storing the candidate landmarks which are consistent in geographical location in a landmark database. Compared with a Web-based landmark mining method, by means of the network entity city-level landmark mining algorithm based on the Internet forum, the number of the mined landmarks can be obviously increased, the network entity city-level positioning accuracy is improved, and the reliable landmarks for the network city-level positioning can be provided.
Description
Technical field
The present invention relates to field of information security technology, particularly relate to a kind of network entity City-level terrestrial reference mining algorithm based on Internet forum.
Background technology
IP locates, and namely obtains the mapping relations in IP address and its geographic position.IP positioning service is more and more subject to
governmentthe concern of office, commercial company and individual.The geographic position of grasping IP can efficiently for user provides various personalized service, as pushed Local Weather Report and disaster early warning, local news, localization word and currency symbol etc. to the user of appointed area, advertiser can to appointed area advertisement etc.IP positioning service also can provide support for region copyright protection, as TV programme, broadcast, digital audio-video etc. provide region limits (only download in allowed by law region, copy and propagate), can also be
countrystability maintenance provides technical support, if restriction rumour and fallacious message are in the spread scope of internet, implements regional suspension etc.
IP location technology based on terrestrial reference obtains IP geographic position one of mode comparatively reliably.But batch obtains terrestrial reference and is effectively still a challenge to terrestrial reference assessment.
At present, mostly the pertinent literature that terrestrial reference excavates is the terrestrial reference method for digging of sing on web, the terrestrial reference limited amount that this method obtains, and the reliability of terrestrial reference can not be guaranteed.But the terrestrial reference method for digging of sing on web, there is the problems such as hosting, share host and CDN due to Web server, the true geographic position of the geographic position of extracting in Web page and Web server can not ensure one_to_one corresponding.Although existing method is carried out verifying to the terrestrial reference that there are these problems and is screened, and effect is unsatisfactory.
Summary of the invention
The object of this invention is to provide a kind of network entity City-level terrestrial reference mining algorithm based on Internet forum, the dynamic IP of user can be included in the acquisition range of terrestrial reference, considerably improve the quantity that terrestrial reference gathers, and by terrestrial reference verification algorithm to the assessment of candidate's terrestrial reference, improve the reliability of terrestrial reference.
The present invention adopts following technical proposals: a kind of network entity City-level terrestrial reference mining algorithm based on Internet forum, comprises the following steps:
Step one, acquisition candidate terrestrial reference, specific as follows:
(11), select terrestrial reference excavate Internet forum, obtain all html pages of this Internet forum;
(12) all IP address fields are extracted in all html pages, obtained from step (11);
(13) the IP address field repeated in all IP address fields that, removal step (12) obtains;
(14) the IP address field, by step (13) obtained, by comparing with IP locator data library inquiry disclosed in multiple internet, filters out all IP address fields consistent with IP location database geographic position;
(15) geographical location information that the IP address field, by step (14) obtained implies with forum compares, and the IP address field retaining geographical position consistency is final candidate's terrestrial reference set;
Step 2, the set of candidate's terrestrial reference to be assessed, specific as follows:
(21), obtain router closest to Target IP, with following improvement GeoTrack algorithm, the candidate's terrestrial reference in final candidate's terrestrial reference set is verified one by one: if imply geographical location information closest to the router of Target IP, enter step (22); If the not implicit geographical location information of the router closest to Target IP, enters step (23);
(22), infer the geographic position of the router closest to Target IP, and compare with candidate's terrestrial reference, by candidate's terrestrial reference consistent for geographic position stored in terrestrial reference storehouse;
(23), first obtain the IP address of the router closest to Target IP, obtain the geographic position of IP address and compare with candidate's terrestrial reference by inquiring about IP location database disclosed in multiple internet, by candidate's terrestrial reference consistent for geographic position stored in terrestrial reference storehouse;
Step 3, the terrestrial reference storehouse obtained are network entity City-level terrestrial reference.
The Internet forum selecting terrestrial reference to excavate in described step (11) is selected zone, containing city key word and the less forum of movement of population.
The all html pages obtaining this Internet forum in described step (11) are obtained by spiders method.
Extracting all IP address fields in described step (12) is extracted by regular expression, and regular expression is such as formula (1):
(1)
In formula (1):
25 [0-5]the scope that can mate is
250 ~ 255,
dbe equivalent to
[0-9], then
2 [0-4] dthe scope that can mate is
200 ~ 249,
{ 2}represent repetition 2 times, then
1 d{2}the scope that can mate is
100 ~ 199, represent that 0 time or 1 time appear in previous character, then
[1-9] dthe scope that can mate is
0 ~ 99,
\represent coupling literal character, then
.represent Match IP separating character,
*represent that IP address the 4th field of coupling is
*number;
|expression relation "or",
(:)represent non-acquisition coupling.
Network entity City-level terrestrial reference mining algorithm based on Internet forum of the present invention has following beneficial effect:
1, compared with the terrestrial reference method for digging of sing on web, the dynamic IP of user is included in the acquisition range of terrestrial reference by the terrestrial reference mining algorithm that the present invention proposes, enrich terrestrial reference method for digging, the quantity that terrestrial reference excavates can be improved significantly, in principle, there are not the problems referred to above in this kind of IP, can ensure the reliability of terrestrial reference.
2, the algorithm that the present invention proposes is assessed candidate's terrestrial reference by terrestrial reference verification algorithm, improves the reliability of terrestrial reference.And improve the positioning precision of network entity City-level, can be cyber city's level location and reliable terrestrial reference is provided.
Accompanying drawing explanation
Fig. 1 is that the terrestrial reference that the present invention is based on Internet forum excavates and assessment algorithm process flow diagram.
Embodiment
Below by the mode of embodiment; technical solution of the present invention is described in detail; but embodiment is only the preferred embodiment of the present invention; be noted that for those skilled in the art; under the premise without departing from the principles of the invention; can also make some improvement and equivalent replacement, these improve the claims in the present invention and are equal to the technical scheme after replacing, and all fall into protection scope of the present invention.
The invention provides a kind of network entity City-level terrestrial reference mining algorithm based on Internet forum, the dynamic IP of user included in the acquisition range of terrestrial reference, and by terrestrial reference verification algorithm to the assessment of candidate's terrestrial reference, specifically comprise the following steps:
Step one, acquisition candidate terrestrial reference, input: Internet forum; Export: candidate's terrestrial reference set (IP set delta), specific as follows:
(11), select terrestrial reference excavate Internet forum, obtain all html pages of this Internet forum;
Internet there is very eurypalynous theme forum, as middle school, colleges and universities, game, house property etc.By analyzing different theme forums, which theme forum can be obtained and be more suitable for excavating object as terrestrial reference, obtaining the network entity terrestrial reference of appointed area.First multiple theme forum is obtained to their html page by webpage " reptile " program, utilize regular expression extraction IP address field wherein, and remove the IP address field repeated, then compared by IP locator data library inquiry disclosed in multiple internet, retain the IP address field that result is consistent.The ratio that different themes forum comprises appointed area candidate's terrestrial reference is obtained according to new probability formula (2).
(2)
Wherein,
for obtaining the IP section number of appointed area,
represent the IP section number that the removal obtained in html page repeats.
Drawn the following conclusions by probability statistical analysis: when choosing theme forum, should select localization, containing region characteristic, containing city key word, the forum of forum that movement of population is less and Relatively centralized, as forum of middle school, forum of primary school, local real estate market etc., such as: " Beijing middle school ", " Beijing house property " forum, this kind of forum generally initiates theme (Topic) primarily of locals and replys message.Therefore, the IP address field of a large amount of personal users of appointed area can be collected.Choose P
m>=τ, wherein τ is an empirical thresholds value, generally to be determined the demand excavating precision in conjunction with user by great many of experiments, gets τ=0.6 here, namely think can obtain appointed area at high proportion be selected terrestrial reference.
(12) all IP address fields are extracted in all html pages, obtained from step (11);
The character string matching method extracting IP address field conventional has KMP algorithm, regular expression etc., due to regular expression can in plain text simply, fuzzy matching character string flexibly, therefore, use regular expression (1)
(1)
Wherein,
25 [0-5]the scope that can mate is
250 ~ 255,
dbe equivalent to
[0-9], then
2 [0-4] dthe scope that can mate is
200 ~ 249,
{ 2}represent repetition 2 times, then
1 d{2}the scope that can mate is
100 ~ 199, represent that 0 time or 1 time appear in previous character, then
[1-9] dthe scope that can mate is
0 ~ 99,
\represent coupling literal character, then
.represent Match IP separating character,
*represent that IP address the 4th field of coupling is
*number.
|expression relation "or",
(:)represent non-acquisition coupling, mainly play the effect of saving internal memory.Because forum supvr is to the consideration of privacy of user aspect, therefore, the 4th field of IP address is hidden, and its form is A.B.C.*, is designated as IP and gathers α.
(13) the IP address field repeated in all IP address fields that, removal step (12) obtains; Repeatedly may reply message due to user or deliver the situations such as theme, therefore there is the IP address of repetition, need gather α the IP address field removing repetition from IP, the remaining IP that is designated as gathers β.
(14) the IP address field, step (13) obtained compares by inquiring about with IP location database disclosed in multiple internet (such as IP location database IP138, IPcn and QQWry), filter out all IP address fields consistent with IP location database geographic position, be designated as IP and gather γ; The reliability of higher ip address and geolocation mapping thereof can be put forward like this.
(15) (geographical location information that implies of forum refers to the position inferred from forum's title and its place to the implicit geographical location information of the IP address field, step (14) obtained and forum, as Beijing forum, infer and geographic position in Beijing) compare, the IP address field retaining geographical position consistency is final candidate's terrestrial reference set, be designated as IP set delta, put forward the reliability of higher ip address and geolocation mapping thereof further.
Step 2, the set of candidate's terrestrial reference to be assessed, input: candidate's terrestrial reference set (IP set delta); Export: the reliable terrestrial reference after assessment.Specific as follows:
(21) router (" nearest router " R closest to Target IP, is obtained
nearest), the router obtained closest to Target IP utilizes Traceroute instrument, sends packet, obtain the network path between it, can obtain the router closest to Target IP from detection source to Target IP.With following improvement GeoTrack algorithm, the candidate's terrestrial reference L in final candidate's terrestrial reference set delta is verified one by one: if R
nearestimplicit geographical location information, enters step (22); If R
nearestnot implicit geographical location information, enters step (23);
(22), then infer according to this router and R
nearestgeographic position, and to compare with candidate's terrestrial reference L, by candidate's terrestrial reference L consistent for geographic position stored in terrestrial reference storehouse;
(23) the IP address ip of the router closest to Target IP, is first obtained
nearset, obtain IP address ip by inquiring about IP location database disclosed in multiple internet (IP location database IP138, IPcn and QQWry)
nearsetgeographic position and compare with candidate's terrestrial reference, by candidate's terrestrial reference consistent for geographic position stored in terrestrial reference storehouse;
Step 3, the terrestrial reference storehouse obtained are network entity City-level terrestrial reference.
Test according to said method, specific as follows:
Using Baidu's mhkc (forum) as experiment porch.Baidu's mhkc is maximum Chinese community, the whole world, and 1,000,000,000 registered users, average daily topic total amount nearly hundred million, pageview is more than 2,100,000,000 times.Therefore, retrievable resource is very abundant.
One, the number ratio of terrestrial reference excavation comparatively
By the terrestrial reference method for digging of sing on web excavate Zhengzhou, Beijing, Shanghai, Xuchang, the university on ground, Hebi five, middle school, primary school, hospital, hotel,
governmentweb page and the mining algorithm proposed based on the present invention in 17 mechanisms excavate 5 cities above region forum (as in Zhengzhou nine, the forum such as Beijing Metro, Shanghai house property), two kinds of modes obtain terrestrial reference quantity statistics
as table 1shown in:
table 1two kinds of terrestrial reference method for digging obtain terrestrial reference quantity
Area | Web-Based Landmarks | Forum-Based Landmarks |
Zhengzhou | 1023 | 5105 |
Beijing | 2038 | 17094 |
Shanghai | 1213 | 17316 |
Xuchang | 351 | 747 |
Hebi | 229 | 398 |
By
table 1can find out, compared with the terrestrial reference method for digging of sing on web, the algorithm that the present invention proposes excavates terrestrial reference quantity exceed 499.02%, 838.76%, 1427.54%, 212.82%, 173.80% respectively to Zhengzhou, Beijing, Shanghai, Xuchang, ground, Hebi five.This shows, mining algorithm of the present invention excavates at terrestrial reference and is quantitatively significantly improved.
The terrestrial reference method for digging of sing on web in Xuchang, two places, Hebi obtain terrestrial reference negligible amounts, are that commercial economy is undeveloped, may there is less Web server because these two places are three, four line cities of China, therefore, obtain terrestrial reference negligible amounts.The mining algorithm that the present invention proposes quantitatively has a clear superiority in, this is because: excavating object is the dynamic IP of user, and this kind of IP address occupies global most of IP address, therefore, from terrestrial reference quantitative aspects, relative to the terrestrial reference method for digging of sing on web, significantly enhance the quantity that terrestrial reference excavates.
Two, the Reliability comparotive of terrestrial reference excavation
SLG algorithm adopts three layers of thought of locating successively to reduce target zone.Ground floor adopts CBG thought: each detection source is according to the relation of time delay with distance, and with oneself for the center of circle, time delay is that radius is drawn and justified, and the common factor of multiple circles that multiple detection source obtains is the coarseness region of target.The second layer is on the basis of last layer estimation region, and the terrestrial reference in calmodulin binding domain CaM reduces target state estimator region further.Third layer utilizes the relative time delay of terrestrial reference and target, using with the minimum terrestrial reference of target latency as final positioning result.The granularity of SLG algorithm is street-level, but equally also can be used for City-level location.
The present invention picks out the terrestrial reference on Zhengzhou, Xuchang, ground, Hebi three respectively from two terrestrial reference collection, and with the reliable IP address of 140 known geographical locations for target, as the input of SLG location algorithm,
Zhengzhou, Xuchang, each 550,350 and 220, Hebi is picked out respectively, as the datum node of SLG algorithm from sing on web terrestrial reference with based on forum's terrestrial reference.Experimental result statistics is as shown in table 2:
Table 2 liang class terrestrial reference collection positioning result
Terrestrial reference collection | The accurate number of positioning result | Accuracy rate |
Web-Based Landmarks | 86 | 61.43% |
Forum-Based Landmarks | 138 | 98.57% |
As can be seen from Table 2, with Web-Based Landmarks for terrestrial reference, adopt SLG location algorithm to locate the Target IP of 140 known geographical locations, wherein the positioning result of 86 targets is accurate, and accuracy rate is 61.34%.With Forum-Based Landmarks for terrestrial reference, wherein the positioning result of 138 targets is accurate, and accuracy rate is 98.57%.Therefore, compared with the terrestrial reference of sing on web, the positioning result accuracy rate based on the terrestrial reference of forum is better, and can draw thus, the terrestrial reference reliability based on forum is higher.
The main cause that the accuracy rate of the terrestrial reference of sing on web is on the low side is: still failing thoroughly to solve Web server is that share host, hosting, CDN and Web server are positioned at the problems such as cloud network.And the present invention be the object collected based on the terrestrial reference of forum is user's dynamic IP, there are not the problems referred to above, therefore, the reliability of terrestrial reference is higher.
Claims (4)
1., based on a network entity City-level terrestrial reference mining algorithm for Internet forum, it is characterized in that: comprise the following steps:
Step one, acquisition candidate terrestrial reference, specific as follows:
(11), select terrestrial reference excavate Internet forum, obtain all html pages of this Internet forum;
(12) all IP address fields are extracted in all html pages, obtained from step (11);
(13) the IP address field repeated in all IP address fields that, removal step (12) obtains;
(14) the IP address field, by step (13) obtained, by comparing with IP locator data library inquiry disclosed in multiple internet, filters out all IP address fields consistent with IP location database geographic position;
(15) geographical location information that the IP address field, by step (14) obtained implies with forum compares, and the IP address field retaining geographical position consistency is final candidate's terrestrial reference set;
Step 2, the set of candidate's terrestrial reference to be assessed, specific as follows:
(21), obtain router closest to Target IP, with following improvement GeoTrack algorithm, the candidate's terrestrial reference in final candidate's terrestrial reference set is verified one by one: if imply geographical location information closest to the router of Target IP, enter step (22); If the not implicit geographical location information of the router closest to Target IP, enters step (23);
(22), infer the geographic position of the router closest to Target IP, and compare with candidate's terrestrial reference, by candidate's terrestrial reference consistent for geographic position stored in terrestrial reference storehouse;
(23), first obtain the IP address of the router closest to Target IP, obtain the geographic position of IP address and compare with candidate's terrestrial reference by inquiring about IP location database disclosed in multiple internet, by candidate's terrestrial reference consistent for geographic position stored in terrestrial reference storehouse;
Step 3, the terrestrial reference storehouse obtained are network entity City-level terrestrial reference.
2. the network entity City-level terrestrial reference mining algorithm based on Internet forum according to claim 1, is characterized in that: the Internet forum selecting terrestrial reference to excavate in described step (11) is selected zone, containing city key word and the less forum of movement of population.
3. the network entity City-level terrestrial reference mining algorithm based on Internet forum according to claim 1, is characterized in that: all html pages obtaining this Internet forum in described step (11) are obtained by spiders method.
4. according to the arbitrary described network entity City-level terrestrial reference mining algorithm based on Internet forum of claim 1-3, it is characterized in that: extracting all IP address fields in described step (12) is extracted by regular expression, and regular expression is such as formula (1):
(1)
In formula (1):
25 [0-5]the scope that can mate is
250 ~ 255,
dbe equivalent to
[0-9], then
2 [0-4] dthe scope that can mate is
200 ~ 249,
{ 2}represent repetition 2 times, then
1 d{2}the scope that can mate is
100 ~ 199,
?represent that 0 time or 1 time appear in previous character, then
[1-9] dthe scope that can mate is
0 ~ 99,
\represent coupling literal character, then
.represent Match IP separating character,
*represent that IP address the 4th field of coupling is
*number;
|expression relation "or",
(:)represent non-acquisition coupling.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510020107.7A CN104715012B (en) | 2015-01-15 | 2015-01-15 | Network entity City-level terrestrial reference mining algorithm based on Internet forums |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510020107.7A CN104715012B (en) | 2015-01-15 | 2015-01-15 | Network entity City-level terrestrial reference mining algorithm based on Internet forums |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104715012A true CN104715012A (en) | 2015-06-17 |
CN104715012B CN104715012B (en) | 2017-10-20 |
Family
ID=53414339
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510020107.7A Active CN104715012B (en) | 2015-01-15 | 2015-01-15 | Network entity City-level terrestrial reference mining algorithm based on Internet forums |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104715012B (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104933148A (en) * | 2015-06-19 | 2015-09-23 | 北京奇虎科技有限公司 | Data screening method, device and server |
CN105282267A (en) * | 2015-08-31 | 2016-01-27 | 刘粉林 | Network entity city class positioning method based on landmark clustering |
CN107920115A (en) * | 2017-11-17 | 2018-04-17 | 南京莱克贝尔信息技术有限公司 | A kind of City-level IP localization methods based on time delay and geographical consistency constraint |
CN110188954A (en) * | 2019-05-31 | 2019-08-30 | 中国人民解放军战略支援部队信息工程大学 | Terrestrial reference reliability estimation method and device based on POP network |
CN111026829A (en) * | 2019-12-11 | 2020-04-17 | 罗向阳 | Street-level landmark obtaining method based on service identification and domain name association |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7644167B2 (en) * | 2004-01-30 | 2010-01-05 | Hewlett-Packard Development Company, L.P. | Identifying a service node in a network |
CN101990003A (en) * | 2010-10-22 | 2011-03-23 | 西安交通大学 | User action monitoring system and method based on IP address attribute |
US20110113116A1 (en) * | 2009-11-11 | 2011-05-12 | Jeff Burdette | Method, computer program product and electronic device for hyper-local geo-targeting |
CN102595249A (en) * | 2011-12-12 | 2012-07-18 | 青岛海信电器股份有限公司 | Method and device as well as system for positioning geographic position of television |
-
2015
- 2015-01-15 CN CN201510020107.7A patent/CN104715012B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7644167B2 (en) * | 2004-01-30 | 2010-01-05 | Hewlett-Packard Development Company, L.P. | Identifying a service node in a network |
US20110113116A1 (en) * | 2009-11-11 | 2011-05-12 | Jeff Burdette | Method, computer program product and electronic device for hyper-local geo-targeting |
CN101990003A (en) * | 2010-10-22 | 2011-03-23 | 西安交通大学 | User action monitoring system and method based on IP address attribute |
CN102595249A (en) * | 2011-12-12 | 2012-07-18 | 青岛海信电器股份有限公司 | Method and device as well as system for positioning geographic position of television |
Non-Patent Citations (3)
Title |
---|
李威: "《基于IP地址的网路实体地理位置定位技术研究与实现》", 《中国优秀硕士学位论文全文数据库-信息科技辑》 * |
王占丰等: "《IP定位技术的研究》", 《软件学报》 * |
贾伟伟: "《基于路由追踪的IP定位优化》", 《中国优秀硕士学位论文全文数据库-信息科技辑》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104933148A (en) * | 2015-06-19 | 2015-09-23 | 北京奇虎科技有限公司 | Data screening method, device and server |
CN105282267A (en) * | 2015-08-31 | 2016-01-27 | 刘粉林 | Network entity city class positioning method based on landmark clustering |
CN105282267B (en) * | 2015-08-31 | 2018-08-14 | 刘粉林 | A kind of network entity City-level localization method based on landmark clustering |
CN107920115A (en) * | 2017-11-17 | 2018-04-17 | 南京莱克贝尔信息技术有限公司 | A kind of City-level IP localization methods based on time delay and geographical consistency constraint |
CN107920115B (en) * | 2017-11-17 | 2020-08-11 | 南京莱克贝尔信息技术有限公司 | City-level IP positioning method based on time delay and geographic consistency constraint |
CN110188954A (en) * | 2019-05-31 | 2019-08-30 | 中国人民解放军战略支援部队信息工程大学 | Terrestrial reference reliability estimation method and device based on POP network |
CN111026829A (en) * | 2019-12-11 | 2020-04-17 | 罗向阳 | Street-level landmark obtaining method based on service identification and domain name association |
Also Published As
Publication number | Publication date |
---|---|
CN104715012B (en) | 2017-10-20 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Lozano et al. | A complex network analysis of global tourism flows | |
CN104715012A (en) | Network entity city-level landmark mining algorithm based on Internet forum | |
Scellato et al. | Track globally, deliver locally: improving content delivery networks by tracking geographic social cascades | |
CN103795613B (en) | Method for predicting friend relationships in online social network | |
O’Callaghan et al. | An analysis of interactions within and between extreme right communities in social media | |
Liu et al. | Global research trends of geographical information system from 1961 to 2010: a bibliometric analysis | |
O'callaghan et al. | Uncovering the wider structure of extreme right communities spanning popular online networks | |
CN105227688B (en) | A kind of region class Target IP localization method based on route characteristic | |
CN102122291A (en) | Blog friend recommendation method based on tree log pattern analysis | |
CN105224593B (en) | Frequent co-occurrence account method for digging in the of short duration online affairs of one kind | |
Huang et al. | From where do tweets originate? A gis approach for user location inference | |
CN104537105B (en) | A kind of network entity terrestrial reference automatic mining method based on Web maps | |
CN104899243A (en) | Method and apparatus for detecting accuracy of POI (Point of Interest) data | |
Song et al. | A spatio-temporal framework for related topic search in micro-blogging | |
Shinneman et al. | Historical fire and multidecadal drought as context for pinon–juniper woodland restoration in western Colorado | |
CN106021418A (en) | News event clustering method and device | |
Li et al. | Street‐Level Landmark Evaluation Based on Nearest Routers | |
Wang et al. | A study on influential user identification in online social networks | |
CN104166659B (en) | A kind of map datum sentences the method and system of weight | |
Han et al. | Predicting the topic influence trends in social media with multiple models | |
Colombo et al. | 5 Dutch political Instagram | |
CN104156458B (en) | The extracting method and device of a kind of information | |
Chan et al. | Leveraging Twitter to detect event names associated with a place | |
Devkota et al. | An exploratory study on the generation and distribution of geotagged tweets in Nepal | |
Zhou et al. | Fine-grained mining of illicit drug use patterns using social multimedia data from Instagram |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
TR01 | Transfer of patent right |
Effective date of registration: 20200720 Address after: 450001 No. 62 science Avenue, hi tech Zone, Henan, Zhengzhou Patentee after: Information Engineering University of the Chinese People's Liberation Army Strategic Support Force Address before: Three four 62 No. 450000 Henan city of Zhengzhou province high tech Zone Science Road Patentee before: Luo Xiangyang |
|
TR01 | Transfer of patent right |