CN104778177A - Data processing method and device - Google Patents
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- CN104778177A CN104778177A CN201410014401.2A CN201410014401A CN104778177A CN 104778177 A CN104778177 A CN 104778177A CN 201410014401 A CN201410014401 A CN 201410014401A CN 104778177 A CN104778177 A CN 104778177A
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Abstract
The invention provides a data processing method and a device. The method comprises the steps of receiving a processing request transmitted by request equipment, obtaining the average quantity of information corresponding to types released by users in an objective website within a preset objective time range according to acquired historical raw data, computing a product of the average quantity of the information corresponding to each type and a preset weight number corresponding to the type for the average quantity of the information corresponding to each type, computing the sum of the products corresponding to the types, obtaining the user liveness of the users relative to the objective website within the preset objective time range, and transmitting a processing result to the request equipment, wherein the processing request comprises an identifier of the objective website; the historical raw data comprises information released by the users in websites; the sum of the weight numbers corresponding to the types is 1; and the processing result comprises the user liveness. According to the data processing method and the device, the user liveness of the users can be accurately and quickly acquired.
Description
Technical field
The present invention relates to data processing field, particularly relate to a kind of data processing method and device.
Background technology
Along with online community network is as the fast development of social network sites, microblogging, on-line communities etc., a real two-way propagation and New Media Era are progressively formed.Online community network allows each user can create the content of oneself, and fast propagation is gone out.According to incompletely statistics, domestic large-scale microblogging website is on average per second has the new data more than 3000 to produce.
On the data basis of scale like this, how online community network supvr obtains user's liveness rapidly and accurately becomes problem demanding prompt solution.To this, in prior art, also there is no the scheme that can obtain user's liveness accurately and quickly.
Summary of the invention
The invention provides a kind of data processing method and device, the problem of user's liveness cannot be obtained for solving prior art accurately and quickly.
First aspect of the present invention is to provide a kind of data processing method, comprising:
Receive the process request that requesting service sends, described process request comprises the mark of targeted website;
According to the history raw data collected, obtain user within the object time of presetting, the par of the information of all types of correspondences issued in described targeted website, described history raw data comprises the information that each user issues in each website;
For the par of information corresponding to each described type, calculate the product of its preset weights corresponding with described type, wherein, the weights sum of described all types of correspondence is 1;
Calculate the sum of products of described all types of correspondence, obtain described user user's liveness relative to described targeted website within the described object time;
To described request equipment transmission processing result, described result comprises described user's liveness.
Another aspect of the present invention is to provide a kind of data processing equipment, comprising:
Receiver module, for receiving the process request that requesting service sends, described process request comprises the mark of targeted website;
Acquisition module, for the history raw data that basis collects, obtain user within the object time of presetting, the par of the information of all types of correspondences issued in described targeted website, described history raw data comprises the information that each user issues in each website;
Processing module, for the par for information corresponding to each described type, calculate the product of its preset weights corresponding with described type, wherein, the weights sum of described all types of correspondence is 1;
Described processing module, also for calculating the sum of products of described all types of correspondence, obtains described user user's liveness relative to described targeted website within the described object time;
Sending module, for described request equipment transmission processing result, described result comprises described user's liveness.
Data processing method provided by the invention and device, according to collecting the history raw data arrived, obtain targeted customer within the object time of presetting, the par of the information of all types of correspondences issued in the targeted website of presetting, and then based on the weights of all types of correspondence, obtain targeted customer relative to user's liveness of this targeted website within the described object time, realization obtains user's liveness of user accurately and quickly.
Accompanying drawing explanation
The schematic flow sheet of a kind of data processing method that Fig. 1 provides for the embodiment of the present invention one;
The structural representation of a kind of data processing equipment that Fig. 2 provides for the embodiment of the present invention two.
Embodiment
For making the object of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described.
The schematic flow sheet of a kind of data processing method that Fig. 1 provides for the embodiment of the present invention one, as shown in Figure 1, described method comprises:
101, receive the process request that requesting service sends, described process request comprises the mark of targeted website.
Wherein, website is specifically as follows each microblogging website, and such as, Sina's microblogging, Tengxun's microblogging etc., concrete, the mark of website can adopt Service Profile Identifier (Service Profile Identifier is called for short spID) mark.
102, according to the history raw data collected, obtain user within the object time of presetting, the par of the information of all types of correspondences issued in described targeted website, described history raw data comprises the information that each user issues in each website.
In actual applications, based on large-scale social network information, by designing data structure, distributed structure/architecture can be utilized to store and compress, obtaining described history raw data.Concrete, described social network information can comprise the mark etc. of issuing time, website, the type released news and user.Wherein, described type can comprise multiple situation, such as, original, forward, comment on and share.
Further, in the data handling procedure of the present embodiment, in order to described history raw data can be read fast, the information in described social network information can be stitched together, and use " # " to separate between each information.Concrete, the mark of described user can adopt personal code work (usercode) to identify, and the mark of described type can adopt assetType to identify, and the mark of issuing time can adopt date to identify.For example, the form of the history raw data finally stored can be: the mark of issuing time # website logo # type identification # user, i.e. date#spID#assetType#usercode.Such as, suppose that the user of user A is when moment B, has issued the information that type is D in the C of website, then the history raw data that this information is corresponding can be B#C#D#A.
Further, in order to save storage space and transmission bandwidth, can the data obtained after splicing be compressed before storing, concrete, ratio of compression and transmission speed Lempel-Ziv-Oberhumer faster can be adopted, be called for short LZO compression algorithm and compress.
Concrete, the par of described information in the present embodiment, can be the information content in unit duration, then accordingly, 102 can comprise:
According to described history raw data, obtain described user within the described object time, the quantity of the information of all types of correspondences issued in described targeted website;
Respectively by the quantity of the information of described all types of correspondence divided by duration corresponding to described object time scope, obtain user within the described object time, the par of the information of all types of correspondences issued in described targeted website.
Wherein, the duration that described object time scope is corresponding is the number of unit time within the scope of the described object time.Concrete, described unit time can preset.It should be noted that, for different unit time, the par of the information calculated also can be different, concrete example, suppose that certain user is in nearest one week, the quantity of the information of certain type issued in certain website is 70, if then duration in units of a day, the duration that then described object time scope is corresponding is 7/1=7, and the par of corresponding described information is 70/7=10; And if direct duration in units of a week, then the duration that described object time scope is corresponding is 7/7=1, and the par of corresponding described information is 70/1=70.
Concrete again, in actual applications, obtain described user within the described object time, the idiographic flow of the quantity of the information of all types of correspondences issued in described targeted website can comprise:
According to the object time scope preset, obtain the information of all types of correspondences that each user issues in each website within this object time, its data layout is: spID#assetType#usercode;
By carrying out dimension-reduction treatment to above-mentioned data, obtain described targeted customer within the described object time, the quantity of the information of all types of correspondences issued in described targeted website, its data layout is spID#assetType#usercode num.
Concrete, form (key, value) can be utilized to carry out dimension-reduction treatment, the number of times that value value wherein occurs for key value.Further, in order to understand the scheme of the present embodiment more intuitively, being now described by following citing, it should be noted that, below citing just a kind of concrete embodiment, it does not limit other embodiment of the present embodiment.
Suppose that current needs statistics is within the described object time, the type that user A issues in the C of website is the quantity of the information of D, then using C#D#A as key value, the information of all types of correspondences that each user issues in each website within the described object time can be inquired about.Concrete, through aforesaid operations, the form exporting data be C#D#A [1,1 ... ], wherein, when key value often occurs once, then [1,1 ... ] middle note one " 1 ".After inquiry, the number of statistics " 1 ", the number of times occurred by key value carries out read group total, and obtain value value, namely user A is within the described object time in the C of website, and the type of issue is the quantity of the information of D.Further, the result data of output is C#D#A num, and wherein, num is value value.
103, for the par of information corresponding to each described type, calculate the product of its preset weights corresponding with described type, wherein, the weights sum of described all types of correspondence is 1.
Concrete, dissimilar information is for the contribution property of there are differences of user's liveness, such as, original, to forward and in comment type, the information of original type more can reflect user's liveness.Therefore, according to the dissimilar impact on user's liveness, the weights of dissimilar correspondence can be set.Such as, suppose described type comprise original, forward and comment type, weights corresponding to original type are 0.7, and the weights forwarding type corresponding are 0.2, and weights corresponding to comment type are 0.1.Then corresponding, suppose that the par that is original, that forward and comment on information corresponding to type that user issues within the described object time in described targeted website is respectively 30,20,10, the product that then original type is corresponding is 0.7 × 30=21, the product forwarding type corresponding is 0.2 × 20=4, and the product commenting on type corresponding is 0.1 × 10=1.
104, calculate the sum of products of described all types of correspondence, obtain described user user's liveness relative to described targeted website within the described object time.
Concrete, in above-mentioned citing, described user is 21+4+1=26 relative to user's liveness of described targeted website within the described object time.
105, to described request equipment transmission processing result, described result comprises described user's liveness.
In actual applications, can also be stored in distributed file system by the described result obtained, accordingly, application system can read described result from described distributed file system, as carrying out data analysis, front page layout displaying etc.
In addition, in practical application scene, in order to more deep is analyzed user's liveness, disposable analysis and historical data contrast can also be carried out to above-mentioned historical data.Wherein, disposable analysis comprises any active ues analysis etc. of the analysis of user's liveness and targeted website.Historical data contrast comprises the Changing Pattern analyzing user's liveness, the analysis data of a period of time are carried out multidimensional compare, such as according to user's liveness of certain user relative target website in each time range, obtain the Changing Pattern and change curve etc. of user's liveness of this user, the Changing Pattern of user's liveness can be made very clear.Optionally, described result can also be included within the scope of the described object time, the mark of any active ues of described targeted website; Described method can also comprise:
For each described type, according to described user within the described object time, the quantity of the information that the described type issued in described targeted website is corresponding, carries out descending rank to described user;
By the user of n before rank, be defined as within the described object time, any active ues of described targeted website, wherein, n is default value.
Concrete, in actual applications, the idiographic flow realizing above-mentioned steps can comprise: the data corresponding according to spID#assetType#usercode num, using spID#assetType#INTmax-num as key value, descending rank is carried out to described user, its data layout be spID#assetType#INTmax-num [usercode, usercode ... ], wherein, [usercode, usercode ... ] be the user ID after rank; Will [usercode, usercode ... ] each user ID in user corresponding to front n user ID be defined as within the described object time, any active ues of described targeted website.Wherein, INTmax-num is used for realizing descending sort.
By present embodiment, can determine quickly and easily within the object time, any active ues of targeted website.
Optionally, before the user's liveness obtaining user, can also be screened user by present embodiment, thus saving resource.Accordingly, 104 specifically can comprise: the sum of products calculating described all types of correspondence, obtain described any active ues user's liveness relative to described targeted website within the described object time.
Optionally, described result can also be included in the number of users of the information delivering all types of correspondence in described targeted website; The described user of acquisition within the described object time, after the quantity of the information of all types of correspondences issued in described targeted website, can also following flow process be carried out:
The data corresponding according to spID#assetType#usercode num, are key with spID#assetType, are filtered out by usercode, and the data layout of output is: spID#assetType [num, num ... ];
Sued for peace by each num, obtain the total number of users delivering information corresponding to described type in described targeted website, its data layout is: spID#assetType sum (num).
By present embodiment, the total number of users delivering information corresponding to described type in described targeted website can be counted quickly and easily.
Optional again, described result can also be included in the total number of users released news in described targeted website; The described user of acquisition within the described object time, after the quantity of the information of all types of correspondences issued in described targeted website, can also following flow process be carried out:
The data corresponding according to spID#assetType#usercode num take spID#usercode as key value, the data that output file form is following: spID#usercode [1,1 ... ];
Be key value with spID, take usercode as value value, filter out the identical value value of dissimilar correspondence, the data that output file form is following: spId usercode;
Take spID as key value, each usercode value is designated as " 1 ", the data that output file form is following: spID [1,1 ... ];
The number of statistics " 1 ", obtain the total number of users released news in described targeted website, its data layout is: spID sum (1).
By present embodiment, the total number of users released news in described targeted website can be counted quickly and easily.
Data processing method provided by the invention, according to collecting the history raw data arrived, obtain user within the object time of presetting, the par of the information of all types of correspondences issued in targeted website, and then based on the weights of all types of correspondence, obtain user relative to user's liveness of this targeted website within the described object time, realization obtains user's liveness of user accurately and quickly.
The structural representation of a kind of data processing equipment that Fig. 2 provides for the embodiment of the present invention two, as shown in Figure 2, described device comprises: receiver module 21, acquisition module 22, processing module 23 and sending module 24; Wherein,
Receiver module 21, for receiving the process request that requesting service sends, described process request comprises the mark of targeted website;
Acquisition module 22, for the history raw data that basis collects, obtain user within the object time of presetting, the par of the information of all types of correspondences issued in described targeted website, described history raw data comprises the information that each user issues in each website;
Processing module 23, for the par for information corresponding to each described type, calculate the product of its preset weights corresponding with described type, wherein, the weights sum of described all types of correspondence is 1;
Processing module 23, also for calculating the sum of products of described all types of correspondence, obtains described user user's liveness relative to described targeted website within the described object time;
Sending module 24, for described request equipment transmission processing result, described result comprises described user's liveness.
In actual applications, described device can also comprise: acquisition module, for gathering and utilizing distributed structure/architecture to store described history raw data.
Further, in the data handling procedure of the present embodiment, in order to read described history raw data fast, the file layout of described history raw data can be: the mark of issuing time # website logo # type identification # user, i.e. date#spID#assetType#usercode.
Further, in order to save storage space and transmission bandwidth, described device can also comprise compression module, for before the described history raw data of storage, compresses described history raw data.Concrete, ratio of compression and transmission speed Lempel-Ziv-Oberhumer faster can be adopted, be called for short LZO compression algorithm and compress.
Concrete, described acquisition module can comprise: statistic unit, for according to described history raw data, obtains described user within the described object time, the quantity of the information of all types of correspondences issued in described targeted website; Computing unit, for respectively by the quantity of the information of described all types of correspondence divided by duration corresponding to described object time scope, obtain user within the described object time, the par of the information of all types of correspondences issued in described targeted website.
Wherein, duration corresponding to described object time scope is the number of unit time within the scope of the described object time, and described unit time can preset.Concrete again, described statistic unit specifically comprises:
First process subelement, for the object time scope that basis is preset, obtain the information of all types of correspondences that each user issues in each website within this object time, its data layout is: spID#assetType#usercode;
Second process subelement, for by carrying out dimension-reduction treatment to above-mentioned data, obtain described targeted customer within the described object time, the quantity of the information of all types of correspondences issued in described targeted website, its data layout is spID#assetType#usercode num.
In actual applications, described device can also comprise: memory module, for described result being stored in distributed file system.Accordingly, application system can read described result from described distributed file system, as carrying out data analysis, front page layout displaying etc.
In addition, in practical application scene, in order to more deep is analyzed user's liveness, described result is also included within the scope of the described object time, the mark of any active ues of described targeted website; Accordingly, described device can also comprise:
Order module, for for each described type, according to described user within the described object time, the quantity of the information that the described type issued in described targeted website is corresponding, carries out descending rank to described user;
Screening module, for the user by n before rank, be defined as within the described object time, any active ues of described targeted website, wherein, n is default value.
In practical application, described order module, specifically may be used for the data corresponding according to spID#assetType#usercodenum, using spID#assetType#INTmax-num as key value, descending rank is carried out to described user, its data layout be spID#assetType#INTmax-num [usercode, usercode ... ], wherein, [usercode, usercode ... ] be the user ID after rank;
Described screening module, specifically may be used for by [usercode, usercode ... ] each user ID in user corresponding to front n user ID be defined as within the described object time, any active ues of described targeted website.
Wherein, INTmax-num is used for realizing descending sort.By present embodiment, can determine quickly and easily within the object time, any active ues of targeted website.
Optionally, before the user's liveness obtaining user, can also be screened user by present embodiment, thus saving resource.Accordingly, processing module 23, specifically for calculating the sum of products of described all types of correspondence, obtains described any active ues user's liveness relative to described targeted website within the described object time.
Optionally, described result can also be included in the number of users of the information delivering all types of correspondence in described targeted website; Processing module 23, can also be used for the data corresponding according to spID#assetType#usercode num, is key, is filtered out by usercode with spID#assetType, and the data layout of output is: spID#assetType [num, num ... ];
Processing module 23, each num can also be used for sue for peace, and obtain the total number of users delivering information corresponding to described type in described targeted website, its data layout is: spID#assetTypesum (num).
By present embodiment, the total number of users delivering information corresponding to described type in described targeted website can be counted quickly and easily.
Optional again, described result can also be included in the total number of users released news in described targeted website; Processing module 23, can also be used for the data corresponding according to spID#assetType#usercode num, take spID#usercode as key value, the data that output file form is following: spID#usercode [1,1 ... ];
Processing module 23, can also be used for spID is key value, take usercode as value value, filters out the identical value value of dissimilar correspondence, the data that output file form is following: spIdusercode;
Processing module 23, can also be used for taking spID as key value, each usercode value be designated as " 1 ", the data that output file form is following: spID [1,1 ... ];
Processing module 23, can also be used for the number of adding up " 1 ", obtain the total number of users released news in described targeted website, its data layout is: spID sum (1).
By present embodiment, the total number of users released news in described targeted website can be counted quickly and easily.In addition, processing module 23, can also be used for the user's liveness according to user relative target website in each time range, obtains Changing Pattern and the change curve of user's liveness of this user.
Data processing equipment provided by the invention, according to collecting the history raw data arrived, obtain user within the object time of presetting, the par of the information of all types of correspondences issued in targeted website, and then based on the weights of all types of correspondence, obtain user relative to user's liveness of this targeted website within the described object time, realization obtains user's liveness of user accurately and quickly.
Those skilled in the art can be well understood to, and for convenience and simplicity of description, the specific works process of the device of foregoing description, with reference to the corresponding process in preceding method embodiment, can not repeat them here.
One of ordinary skill in the art will appreciate that: all or part of step realizing above-mentioned each embodiment of the method can have been come by the hardware that programmed instruction is relevant.Aforesaid program can be stored in a computer read/write memory medium.This program, when performing, performs the step comprising above-mentioned each embodiment of the method; And aforesaid storage medium comprises: ROM, RAM, magnetic disc or CD etc. various can be program code stored medium.
Last it is noted that above each embodiment is only in order to illustrate technical scheme of the present invention, be not intended to limit; Although with reference to foregoing embodiments to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein some or all of technical characteristic; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the scope of various embodiments of the present invention technical scheme.
Claims (10)
1. a data processing method, is characterized in that, comprising:
Receive the process request that requesting service sends, described process request comprises the mark of targeted website;
According to the history raw data collected, obtain user within the object time of presetting, the par of the information of all types of correspondences issued in described targeted website, described history raw data comprises the information that each user issues in each website;
For the par of information corresponding to each described type, calculate the product of its preset weights corresponding with described type, wherein, the weights sum of described all types of correspondence is 1;
Calculate the sum of products of described all types of correspondence, obtain described user user's liveness relative to described targeted website within the described object time;
To described request equipment transmission processing result, described result comprises described user's liveness.
2. method according to claim 1, is characterized in that, the history raw data that described basis collects, and obtain user within the object time of presetting, the par of the information of all types of correspondences issued in described targeted website, comprising:
According to described history raw data, obtain described user within the described object time, the quantity of the information of all types of correspondences issued in described targeted website;
Respectively by the quantity of the information of described all types of correspondence divided by duration corresponding to described object time scope, obtain user within the described object time, the par of the information of all types of correspondences issued in described targeted website.
3. method according to claim 2, is characterized in that, described result is also included within the scope of the described object time, the mark of any active ues of described targeted website; The described user of described acquisition, within the described object time, after the quantity of the information of all types of correspondences issued in described targeted website, also comprises:
For each described type, according to described user within the described object time, the quantity of the information that the described type issued in described targeted website is corresponding, carries out descending rank to described user;
By the user of n before rank, be defined as within the described object time, any active ues of described targeted website, wherein, n is default value.
4. method according to claim 3, is characterized in that, the sum of products of the described all types of correspondence of described calculating, obtains described user user's liveness relative to described targeted website within the described object time, specifically comprises:
Calculate the sum of products of described all types of correspondence, obtain described any active ues user's liveness relative to described targeted website within the described object time.
5. the method according to any one of claim 1-4, is characterized in that, described method also comprises:
Described result is stored in distributed file system, from described distributed file system, reads described result to make application system.
6. a data processing equipment, is characterized in that, comprising:
Receiver module, for receiving the process request that requesting service sends, described process request comprises the mark of targeted website;
Acquisition module, for the history raw data that basis collects, obtain user within the object time of presetting, the par of the information of all types of correspondences issued in described targeted website, described history raw data comprises the information that each user issues in each website;
Processing module, for the par for information corresponding to each described type, calculate the product of its preset weights corresponding with described type, wherein, the weights sum of described all types of correspondence is 1;
Described processing module, also for calculating the sum of products of described all types of correspondence, obtains described user user's liveness relative to described targeted website within the described object time;
Sending module, for described request equipment transmission processing result, described result comprises described user's liveness.
7. device according to claim 6, is characterized in that, described acquisition module comprises:
Statistic unit, for according to described history raw data, obtains described user within the described object time, the quantity of the information of all types of correspondences issued in described targeted website;
Computing unit, for respectively by the quantity of the information of described all types of correspondence divided by duration corresponding to described object time scope, obtain user within the described object time, the par of the information of all types of correspondences issued in described targeted website.
8. device according to claim 7, is characterized in that, described result is also included within the scope of the described object time, the mark of any active ues of described targeted website; Described device also comprises:
Order module, for for each described type, according to described user within the described object time, the quantity of the information that the described type issued in described targeted website is corresponding, carries out descending rank to described user;
Screening module, for the user by n before rank, be defined as within the described object time, any active ues of described targeted website, wherein, n is default value.
9. device according to claim 8, is characterized in that,
Described processing module, specifically for calculating the sum of products of described all types of correspondence, obtains described any active ues user's liveness relative to described targeted website within the described object time.
10. the device according to any one of claim 6-9, is characterized in that, described device also comprises:
Memory module, for being stored in distributed file system by described result, reads described result to make application system from described distributed file system.
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| CN105512208B (en) * | 2015-11-27 | 2021-08-03 | 腾讯科技（深圳）有限公司 | Information publishing method, device and system |
| CN106815308A (en) * | 2016-12-16 | 2017-06-09 | 上海客鹭信息技术有限公司 | Towards the onion formula data organization method and system of big data analysis |
| CN106815308B (en) * | 2016-12-16 | 2018-11-06 | 上海客鹭信息技术有限公司 | Onion formula data organization method towards big data analysis and system |
| CN108460611A (en) * | 2017-02-20 | 2018-08-28 | 阿里巴巴集团控股有限公司 | A kind of information processing method and its application process and relevant device |
| CN108062350A (en) * | 2017-11-08 | 2018-05-22 | 深圳市金立通信设备有限公司 | A kind of data processing method, node device and computer-readable medium |
| CN108419137A (en) * | 2018-01-15 | 2018-08-17 | 上海全土豆文化传播有限公司 | Data processing method and data processing equipment |
| WO2019144551A1 (en) * | 2018-01-24 | 2019-08-01 | 平安科技（深圳）有限公司 | Multimedia file processing method, server, and storage medium |
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