CN101572629A - Method and device for processing IP data - Google Patents

Method and device for processing IP data Download PDF

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Publication number
CN101572629A
CN101572629A CNA2009101075803A CN200910107580A CN101572629A CN 101572629 A CN101572629 A CN 101572629A CN A2009101075803 A CNA2009101075803 A CN A2009101075803A CN 200910107580 A CN200910107580 A CN 200910107580A CN 101572629 A CN101572629 A CN 101572629A
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address
login
user
user behavior
business demand
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CN101572629B (en
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程宇
陈川
凌国惠
李郁韬
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Tencent Technology Shenzhen Co Ltd
Tencent Cloud Computing Beijing Co Ltd
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Tencent Technology Shenzhen Co Ltd
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Abstract

The invention is applicable to the field of data processing and provides a method and a device for processing IP data; the method comprises the following steps: 1. collecting behavior journal information of a logged-on user; 2. separating user behavior attribute from the behavior journal information; 3. counting the statistical value of user behavior attribute corresponding to the service requirement on each IP address according to the service requirement, and aggregating the IP addresses according to the relation of the statistical value of user behavior attribute and the preset threshold value to obtain the IP address aggregation satisfying the service requirement. In the embodiment of the invention, mass user behavior journal information is collected, user behavior attribute is separated from the behavior journal information, and the IP addresses are aggregated according to the relation of the statistical value of user behavior attribute and the preset threshold value to obtain the IP address aggregation satisfying different service requirements, thus providing platform data support satisfying the base of the service requirement for different service requirements.

Description

A kind of IP processing method of data and device
Technical field
The invention belongs to data processing field, relate in particular to a kind of IP data processing method and device.
Background technology
Along with popularizing of network, the Internet has become the pith of people's life, and network has also been created infinite commercial opportunities when the life of giving people offers convenience, obtain as shopping online, information etc.The IP data are the important sources that obtain information.The IP data comprise IP address and the information relevant with the IP address, and the IP data are data bases of existing many business.Business based on the IP data not only can be that the user provides business opportunity, simultaneously also can conserve network resources, reduce network load.The database that is used for the storing IP data becomes the IP database, and therefore, effectively utilization and managing I P database have become many companies problem to be solved.
In the existing IP database, the main attribute relative fixed of IP data, as comprise physical location information, supplier information, log-on message etc.This information can effectively be distinguished the user according to the region, thereby for different business provides some basic data supports, when on network, throwing in, can the user in a certain specific geographical position be thrown in, but the IP data that this IP data processing method obtains are difficult to satisfy the different business demand, and being difficult to provides real data support for different business, this IP data processing method is difficult to search out real targeted customer simultaneously, thereby make that not only the user is harassed, also wasted Internet resources simultaneously, increased network burden.
Summary of the invention
The purpose of the embodiment of the invention is to provide a kind of IP processing method of data, is intended to solve the IP data that existing IP data processing method obtains and is difficult to satisfy the different business demand, and the problem that provides real data to support for different business is provided.
The embodiment of the invention is achieved in that a kind of IP processing method of data, and described method comprises the steps:
The behavior log information of A, collection login user;
B, from described behavior log information, isolate the user behavior attribute;
C, according to business demand, add up the statistical value of user behavior attribute corresponding on each IP address with described business demand, according to the statistical value of user behavior attribute and the relation between the preset threshold value, aggregation processing is carried out in the IP address, be met the IP address set of described business demand.
Preferably, described step B is specially:
Carry out cluster analysis by behavior log information, from the behavior log information of login user, isolate the user behavior attribute login user.
Preferably, described behavior log information comprises login IP address, login time, login duration, login network address; The user behavior attribute comprises surf time section, same IP address login user number, login network address, the login geographical position in the unit interval section.
Preferably, described step C is specially:
According to business demand, for the user behavior attribute corresponding on each IP address corresponding weights are set in advance with described business demand;
Add up the statistical value of the user behavior attribute on each IP address, and according to the sum of products of the statistical value of user behavior attribute and corresponding weights and the relation between the preset threshold value, aggregation processing is carried out in the IP address, be met the IP address set of described business demand.
Preferably, after described step C, described method also comprises the steps:
IP address in the IP address set that satisfies described business demand pushes corresponding service, thereby can conserve network resources, reduce network burden, provides better service for the user simultaneously.
Another purpose of the embodiment of the invention is to provide a kind of processing unit of IP data, and described device comprises:
The log information collecting unit is used to gather the behavior log information of login user;
User behavior attribute separative element is used for isolating the user behavior attribute from the behavior log information of described log information collecting unit collection;
IP address accumulation unit, be used for according to business demand, add up the statistical value of user behavior attribute corresponding on each IP address with described business demand, according to the statistical value of user behavior attribute and the relation between the preset threshold value, aggregation processing is carried out in the IP address, be met the IP address set of described business demand.
Preferably, described user behavior attribute separative element carries out cluster analysis by the behavior log information to login user, isolates the user behavior attribute from the behavior log information of login user.
Preferably, described behavior log information comprises login IP address, login time, login duration, login network address; The user behavior attribute comprises surf time section, same IP address login user number, login network address, the login geographical position in the unit interval section.
Preferably, described device also comprises:
Weights are provided with the unit, are used for according to business demand, for user behavior attribute corresponding with described business demand on each IP address is provided with corresponding weights; At this moment,
Described IP address accumulation unit is added up the statistical value of the user behavior attribute on each IP address, and according to the sum of products of the statistical value of user behavior attribute and corresponding weights and the relation between the preset threshold value, aggregation processing is carried out in the IP address, be met the IP address set of described business demand.
Preferably, described device also comprises:
The service propelling unit, the IP address that is used for the IP address set that satisfies described business demand that obtains to described IP address accumulation unit pushes corresponding service, thereby can conserve network resources, reduce network burden, provides better service for the user simultaneously.
In embodiments of the present invention by gathering the behavior log information of mass users, isolate the user behavior attribute in the subordinate act log information, again according to the statistical value of user behavior attribute and the relation between the predetermined threshold value, polymerization is carried out in the IP address, be met the IP address set of different business demand, thereby the platform data support on the basis of satisfying business demand is provided for the different business demand.
Description of drawings
Fig. 1 is the realization flow figure of the IP processing method of data that provides of the embodiment of the invention;
Fig. 2 is the realization course diagram of the IP processing method of data that provides of another embodiment of the present invention;
Fig. 3 is the structured flowchart of the processing unit of the IP data that provide of the embodiment of the invention.
Embodiment
In order to make purpose of the present invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with drawings and Examples.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.
In embodiments of the present invention, by obtaining the behavior log information of login user, from the behavior log information of login user, isolate the user behavior attribute, according to business demand, add up the statistical value of user behavior attribute corresponding on each IP address with this business demand, and, will satisfy the IP data gathering of this business demand according to the statistical value of user behavior attribute and the relation between the preset threshold value, think that this business provides the platform data support on basis.
Fig. 1 shows the realization flow of the IP processing method of data that the embodiment of the invention provides, and details are as follows:
In step S101, gather the behavior log information of login user.
Wherein the behavior log information of login user includes but not limited to login IP address, login time, login duration, login network address etc.
In step S102, from the behavior log information of login user, isolate the user behavior attribute.
In embodiments of the present invention, carry out cluster analysis, from the behavior log information of login user, isolate the user behavior attribute by behavior log information to login user.Wherein the user behavior attribute includes but not limited to login user number in the unit interval section of surf time section, same IP address, login network address, login geographical position etc.In embodiments of the present invention, the value of above-mentioned user behavior attribute can be provided with according to the needs of concrete business.
As for the surf time section, it can be set comprise working day and two values of nonworkdays, according to login time in the behavior log information of login user and login duration, the surf time section that can determine this login user is working day or nonworkdays, the surf time section can certainly be set comprise the morning (from 5:00 to 13:00), afternoon (from 13:00 to 21:00) and evening (from 21:00 to 5:00) three values, according to login time in the behavior log information of login user and login duration, the surf time section that can determine this login user is the morning, afternoon or evening.In like manner, the value that the surf time section can also be set is other values.
For the login geographical position,, therefore, can obtain user's entry address position, as being Beijing, Shanghai, Shenzhen and Guangzhou etc. according to the login IP in the behavior log information of login user owing to generally include the address location among the login IP.When also comprising operator's informaiton, log-on message among the login IP, then further, can obtain this user ground operator's informaiton, log-on message etc. according to login IP.
For the login network address, it is concrete login network address that its value can be set, and as www.sina.com etc., can be provided with also that its value comprises the business website, live website, entertainment sites, technology web sites etc.Can determine the value of this user's login network address according to the login network address in the login log information of login user.
See also table 1.1, one example of isolated user behavior attribute list from the login log information of login user that provides for the embodiment of the invention, but do not show to exceed with this.
Figure A20091010758000081
Wherein the login user number is meant the login user number of same IP address.Typically, for the household IP address, the login user number is generally less, and for the IP address of public arenas such as IP address, Internet bar, school IP address, then the login user number is generally more.Analyze by the login network address to login user, definite user's that can be rough relevant information is as age, job specification etc.And these information all can provide the platform data support on basis for different business.
In step S103, according to business demand, add up the statistical value of user behavior attribute corresponding on each IP address with this business demand, according to the statistical value of user behavior attribute and the relation between the preset threshold value, aggregation processing is carried out in the IP address, be met the IP address set of this business demand.
In embodiments of the present invention, because different user behavior attributes is to the difference that influences of business, even the user behavior attribute that has is to some professional basic not influence, therefore, when the statistical value of statistics user behavior attribute corresponding with this business demand on each IP address, only statistics is to the statistical value of the influential user behavior attribute of business.As in advertising business, the influential user behavior attribute of advertising business is comprised login network address, login geographical position, login user number, at this moment, only need the login network address on each IP address, entry address position, login user number are added up, obtain corresponding statistical value, be respectively P1, P2, P3.And, need the user behavior attribute possibility of statistics inconsistent for other business demands.Illustrate as follows:
For certain advertising business demand, only needing statistics login geographical position is Beijing, the login network address is the business website, promptly can be this advertising business demand the basic data support is provided, then at this moment, adding up and logining the geographical position on each IP address is that (as the login geographical position is Pekinese's number of users to the statistical value P1 of Pekinese, perhaps user's proportion), and (as the login network address is the number of users of the statistical value of business website to login the statistical value P2 that network address is the business website, perhaps user's proportion), according to the login geographical position is that statistical value P1 of Pekinese and login network address are the statistical value P2 of business website and the relation between the preset threshold value, aggregation processing is carried out in the IP address, be met the IP address set of this advertising business demand, the platform data support on basis is provided for this advertising business by this IP address set.
In embodiments of the present invention, need in advance demand setting and this business demand corresponding threshold according to business, compare by statistical value and preset threshold value the user behavior attribute, polymerization is carried out in the IP address of satisfying this business demand, can be met the IP address set of business demand.Wherein monodrome can be according to what the demand of business was provided with this business demand corresponding threshold in advance,, also value range can be as V, as [A, B], and A≤B etc.
As suppose that the user behavior attribute that certain business demand need be added up comprises login network address, login geographical position and login user number, the statistical value of the login network address on certain IP address, entry address position, login user number is respectively P1, P2, P3, default and this business demand corresponding threshold are V, then will satisfy the IP address of P1+P2+P3 〉=V and carry out polymerization, be met the IP address set of this business demand.
Because different user behavior attributes is to the difference that influences of business, in order to embody of the influence of user behavior attribute to business, think that business demand provides better data support, in another embodiment of the present invention, according to business demand, for the user behavior attribute corresponding with this business demand on each IP address is provided with corresponding weights, this moment, step S103 specifically comprised the steps: in advance
Add up the statistical value of the user behavior attribute on each IP address, and according to the statistical value of user behavior attribute and the sum of products of corresponding weights and the relation between the preset threshold value, aggregation processing is carried out in the IP address, be met the IP address set of this business demand.
In embodiments of the present invention, when for the user behavior attribute corresponding on each IP address corresponding weights being set in advance with business demand, each weights with equal 1, and each weights is all greater than 0, and less than 1.
In embodiments of the present invention, for different business demands, the statistical value of the user behavior attribute that need add up is inconsistent, and the default weights corresponding with the user behavior attribute also may be inconsistent, and default simultaneously is inconsistent with business demand corresponding threshold also possibility.
As suppose that the user behavior attribute that certain business demand need be added up comprises the login network address, login geographical position and login user number, login network address on certain IP address, the entry address position, the statistical value of login user number is respectively P1, P2, P3, be the login network address in advance, the entry address position, login user is counted preset weight value and is respectively k1, k2 and k3, and k1+k2+k3=1, k1, k2, k3 is all greater than 0, less than 1, default and this business demand corresponding threshold are V, then will satisfy the IP address of P1*k1+P2*k2+P3*k3 〉=V and carry out polymerization, be met the IP address set of this business demand.
As mentioned above, for different business demands, can add up the statistical value of the user behavior attribute corresponding on each IP address with each business demand, according to the statistical value of user behavior attribute and the relation between the preset threshold value, aggregation processing is carried out in the IP address, be met the IP address set of this business demand, this IP address set promptly can be the platform data support that the corresponding service demand provides the basis.
For conserve network resources, reduction network burden, provide better service for the user simultaneously, see also Fig. 2, it is the realization flow of the IP processing method of data that provides of another embodiment of the present invention, wherein step S201, S202, S203 are identical with step S101, S102, S103 among Fig. 1, the difference of itself and IP processing method of data shown in Figure 1 only is that it also comprises the steps:
In step S204, the IP address in the IP address set that satisfies this business demand pushes this business.
As the popularization for advertising business, some product has its specific consumer group, as suitable office crowds such as automobile, computers; The suitable crowd of family such as milk powder, kitchen tools.The said method that provides by the embodiment of the invention can will satisfy office crowd's IP address and gather, the IP address of satisfying the crowd of family is gathered, thereby can navigate to IP set fast with corresponding human character, release correspondent advertisement by the IP address in this IP set again, not only improve the efficient and the specific aim of advertisement, and saved Internet resources, improved networks efficiency.
Fig. 3 shows the structure of the processing unit of the IP data that the embodiment of the invention provides, and for convenience of explanation, only shows the part relevant with the embodiment of the invention.Wherein:
Log information collecting unit 21 is gathered the behavior log information of login user.Wherein the behavior log information of login user includes but not limited to login IP address, login time, login duration, login network address etc.
User behavior attribute separative element 22 is isolated the user behavior attribute from the behavior log information of the login user of log information collecting unit 21 collections.In embodiments of the present invention, carry out cluster analysis, can from the behavior log information of login user, isolate the user behavior attribute by behavior log information to login user.Wherein the user behavior attribute includes but not limited to login user number in the unit interval section of surf time section, same IP address, login network address, login geographical position etc.In embodiments of the present invention, the value of above-mentioned user behavior attribute can be provided with according to the needs of concrete business.
IP address accumulation unit 23 is according to business demand, add up the statistical value of user behavior attribute corresponding on each IP address with this business demand, according to the statistical value of user behavior attribute and the relation between the preset threshold value, aggregation processing is carried out in the IP address, be met the IP address set of this business demand.
In embodiments of the present invention, need in advance demand setting and this business demand corresponding threshold according to business, compare by statistical value and preset threshold value the user behavior attribute, polymerization is carried out in the IP address of satisfying this business demand, can be met the IP address set of business demand.Wherein monodrome can be according to what the demand of business was provided with this business demand corresponding threshold in advance,, also value range can be as V, as [A, B], and A≤B etc.
In embodiments of the present invention, because different user behavior attributes is to the difference that influences of business, even the user behavior attribute that has is to some professional basic not influence, therefore, when the statistical value of statistics user behavior attribute corresponding with this business demand on each IP address, only statistics is to the statistical value of the influential user behavior attribute of business.
Because different user behavior attributes is to the difference that influences of business, in order to embody of the influence of user behavior attribute to business, think that business demand provides better data support, in another embodiment of the present invention, this device comprises that also weights are provided with unit 24, these weights are provided with unit 24 according to business demand, for the user behavior attribute corresponding on each IP address corresponding weights are set in advance with this business demand, at this moment, the statistical value of the user behavior attribute on IP address accumulation unit 23 each IP address of statistics, and according to the statistical value of user behavior attribute and the sum of products of corresponding weights and the relation between the preset threshold value, aggregation processing is carried out in the IP address, be met the IP address set of this business demand.
In embodiments of the present invention, when weights are provided with unit 24 and for the user behavior attribute corresponding with business demand on each IP address corresponding weights are set in advance, each weights with equal 1, and each weights is all greater than 0, and less than 1.
In embodiments of the present invention, for different business demands, the statistical value of the user behavior attribute that need add up is inconsistent, and the default weights corresponding with the user behavior attribute also may be inconsistent, and default simultaneously is inconsistent with business demand corresponding threshold also possibility.
For conserve network resources, reduction network burden, simultaneously for the user provides better service, in another embodiment of the present invention, this device also comprises service propelling unit 25.The IP address of this service propelling unit 25 in the IP address set that satisfies this business demand that IP address accumulation unit 24 obtains pushes this business.
In embodiments of the present invention, by gathering the behavior log information of mass users, isolate the user behavior attribute in the subordinate act log information, again according to the statistical value of user behavior attribute and the relation between the predetermined threshold value, polymerization is carried out in the IP address, be met the IP address set of different business demand, thereby the platform data support on the basis of satisfying business demand is provided for the different business demand.By according to business demand, for the user behavior attribute of correspondence is provided with weights, again according to statistical value and the sum of products of corresponding weights and the relation between the predetermined threshold value of user behavior attribute, polymerization is carried out in the IP address, be met the IP address set of different business demand, thereby provide basic platform data support more accurately for the different business demand.Push corresponding service by the IP address in the IP address set that satisfies the different business demand, thus can conserve network resources, reduce network burden, provide better service for the user simultaneously.
The above only is preferred embodiment of the present invention, not in order to restriction the present invention, all any modifications of being done within the spirit and principles in the present invention, is equal to and replaces and improvement etc., all should be included within protection scope of the present invention.

Claims (10)

1, a kind of IP processing method of data is characterized in that, described method comprises the steps:
The behavior log information of A, collection login user;
B, from described behavior log information, isolate the user behavior attribute;
C, according to business demand, add up the statistical value of user behavior attribute corresponding on each IP address with described business demand, according to the statistical value of user behavior attribute and the relation between the preset threshold value, aggregation processing is carried out in the IP address, be met the IP address set of described business demand.
2, the method for claim 1 is characterized in that, described step B is specially:
Carry out cluster analysis by behavior log information, from the behavior log information of login user, isolate the user behavior attribute login user.
3, the method for claim 1 is characterized in that, described behavior log information comprises login IP address, login time, login duration, login network address; The user behavior attribute comprises surf time section, same IP address login user number, login network address, the login geographical position in the unit interval section.
4, the method for claim 1 is characterized in that, described step C is specially:
According to business demand, for the user behavior attribute corresponding on each IP address corresponding weights are set in advance with described business demand;
Add up the statistical value of the user behavior attribute on each IP address, and according to the sum of products of the statistical value of user behavior attribute and corresponding weights and the relation between the preset threshold value, aggregation processing is carried out in the IP address, be met the IP address set of described business demand.
As the described method of the arbitrary claim of claim 1 to 4, it is characterized in that 5, after described step C, described method also comprises the steps:
IP address in the IP address set that satisfies described business demand pushes corresponding service.
6, a kind of processing unit of IP data is characterized in that, described device comprises:
The log information collecting unit is used to gather the behavior log information of login user;
User behavior attribute separative element is used for isolating the user behavior attribute from the behavior log information of described log information collecting unit collection;
IP address accumulation unit, be used for according to business demand, add up the statistical value of user behavior attribute corresponding on each IP address with described business demand, according to the statistical value of user behavior attribute and the relation between the preset threshold value, aggregation processing is carried out in the IP address, be met the IP address set of described business demand.
7, device as claimed in claim 6 is characterized in that, described user behavior attribute separative element carries out cluster analysis by the behavior log information to login user, isolates the user behavior attribute from the behavior log information of login user.
8, device as claimed in claim 6 is characterized in that, described behavior log information comprises login IP address, login time, login duration, login network address; The user behavior attribute comprises surf time section, same IP address login user number, login network address, the login geographical position in the unit interval section.
9, device as claimed in claim 6 is characterized in that, described device also comprises:
Weights are provided with the unit, are used for according to business demand, for user behavior attribute corresponding with described business demand on each IP address is provided with corresponding weights; At this moment,
Described IP address accumulation unit is added up the statistical value of the user behavior attribute on each IP address, and according to the sum of products of the statistical value of user behavior attribute and corresponding weights and the relation between the preset threshold value, aggregation processing is carried out in the IP address, be met the IP address set of described business demand.
10, as the described device of the arbitrary claim of claim 6 to 9, it is characterized in that described device also comprises:
The service propelling unit, the IP address that is used for the IP address set that satisfies described business demand that obtains to described IP address accumulation unit pushes corresponding service.
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Family Cites Families (4)

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Publication number Priority date Publication date Assignee Title
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CN1332535C (en) * 2004-06-14 2007-08-15 深圳市傲天通信有限公司 Control system for user access to internet behaviour
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CN102314491A (en) * 2011-08-23 2012-01-11 杭州电子科技大学 Method for identifying similar behavior mode users in multicore environment based on massive logs
CN102314491B (en) * 2011-08-23 2013-03-13 杭州电子科技大学 Method for identifying similar behavior mode users in multicore environment based on massive logs
CN103164475A (en) * 2011-12-16 2013-06-19 北京思博途信息技术有限公司 Method and system of combining multiple internet protocol (IP) regional information bases
CN103164475B (en) * 2011-12-16 2016-08-17 北京思博途信息技术有限公司 The merging method and system in multiple IP regional information storehouses
CN103699546B (en) * 2012-09-28 2016-12-21 秒针信息技术有限公司 A kind of method and device generating Internet bar IP data base
CN103699546A (en) * 2012-09-28 2014-04-02 北京思博途信息技术有限公司 Method and device of generating IP (Internet Protocol) database of internet bar
CN103716282A (en) * 2012-09-28 2014-04-09 北京新媒传信科技有限公司 Method and system for correcting IP library
CN103729378A (en) * 2012-10-16 2014-04-16 腾讯科技(深圳)有限公司 Updating method and device for IP geographic information
WO2014059868A1 (en) * 2012-10-16 2014-04-24 腾讯科技(深圳)有限公司 Update device and method for ip geographical information
WO2014075599A1 (en) * 2012-11-15 2014-05-22 Tencent Technology (Shenzhen) Company Limited Method, device and system for processing client environment data
CN103812683A (en) * 2012-11-15 2014-05-21 腾讯科技(深圳)有限公司 User behavior data processing method, device and system
CN103812683B (en) * 2012-11-15 2015-07-15 腾讯科技(深圳)有限公司 User behavior data processing method, device and system
US9537962B2 (en) 2012-11-15 2017-01-03 Tencent Technology (Shenzhen) Company Limited Method, device and system for processing client environment data
CN103001826B (en) * 2012-11-29 2015-09-30 北京奇虎科技有限公司 The equipment logged in for monitor user ' and method
CN103001826A (en) * 2012-11-29 2013-03-27 北京奇虎科技有限公司 Device and method for monitoring user login
CN104811809A (en) * 2014-01-23 2015-07-29 中国科学院声学研究所 Set-top box user behavior acquisition method
CN104811809B (en) * 2014-01-23 2018-05-22 中国科学院声学研究所 A kind of set-top box users behavior acquisition method
CN104935445B (en) * 2014-03-17 2019-09-27 腾讯科技(深圳)有限公司 Obtain the method and device of online environmental information
CN104935445A (en) * 2014-03-17 2015-09-23 腾讯科技(深圳)有限公司 Method and device for obtaining information of Internet environment
CN105025115B (en) * 2014-04-29 2018-06-15 北京秒针信息咨询有限公司 A kind of method and apparatus for generating dormitory IP libraries
CN105025115A (en) * 2014-04-29 2015-11-04 北京秒针信息咨询有限公司 Method and device for generating dormitory IP (Internet Protocol) library
CN105100295A (en) * 2014-05-21 2015-11-25 北京秒针信息咨询有限公司 Method and device for identifying independent users
CN105100295B (en) * 2014-05-21 2019-01-15 北京秒针信息咨询有限公司 A kind of method and apparatus identifying isolated user
CN103995907B (en) * 2014-06-13 2017-04-12 北京奇艺世纪科技有限公司 Determining method of access users
CN103995907A (en) * 2014-06-13 2014-08-20 北京奇艺世纪科技有限公司 Determining method of access users
CN104333609B (en) * 2014-10-15 2018-04-13 北京百度网讯科技有限公司 IP address localization method and device
CN104333609A (en) * 2014-10-15 2015-02-04 北京百度网讯科技有限公司 IP address positioning method and device thereof
CN106202094A (en) * 2015-05-05 2016-12-07 中国移动通信集团公司 A kind of determination method and apparatus of captivation index information
CN106202094B (en) * 2015-05-05 2019-06-25 中国移动通信集团公司 A kind of determination method and apparatus of attraction index information
CN105516138A (en) * 2015-12-09 2016-04-20 赛肯(北京)科技有限公司 Verification method and device based on login log analysis
CN105516138B (en) * 2015-12-09 2019-02-15 广州密码科技有限公司 A kind of verification method and device based on login log analysis
CN110677309A (en) * 2018-07-03 2020-01-10 百度在线网络技术(北京)有限公司 Crowd clustering method and system, terminal and computer readable storage medium
CN110677309B (en) * 2018-07-03 2021-12-14 百度在线网络技术(北京)有限公司 Crowd clustering method and system, terminal and computer readable storage medium

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