CN105279262A - Cloud computing-based data processing method and system as well as server - Google Patents
Cloud computing-based data processing method and system as well as server Download PDFInfo
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- CN105279262A CN105279262A CN201510696515.4A CN201510696515A CN105279262A CN 105279262 A CN105279262 A CN 105279262A CN 201510696515 A CN201510696515 A CN 201510696515A CN 105279262 A CN105279262 A CN 105279262A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0255—Targeted advertisements based on user history
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
Abstract
The invention provides a cloud computing-based data processing method and system as well as a server. The method comprises the following steps: obtaining corresponding behavior characteristic information by the server according to different access target objects; and extracting target key information from the behavior characteristic information by the server and determining a corresponding information push control strategy according to the target key information. According to the cloud computing-based data processing method and system as well as the server, analysis models for different user behaviors are determined in allusion to different access target objects, and then individual analysis data is generated, so that the pertinence of the push information is ensured and the user experience is greatly improved.
Description
Technical field
The present invention relates to cloud computing data processing field, particularly relate to a kind of data processing method based on cloud computing, system and server.
Background technology
Along with the develop rapidly of Internet technology, people just can buy the commodity oneself needed by electric business website, simultaneously, in electric business field, user behavior quantity of information is very large, just under this overall background, electricity business needs understanding user's request badly, but there are two difficult problems: one is, in order to find user preference and what type of user preference, just need to find a relation between user behavior and commodity; Two are, in order to study this complex relationship, mass data must be had to originate, and these data of fast processing.
In order to solve an above-mentioned difficult problem, generally take following method: electric business adopts server to generate journal file and stores; For the key word that will analyze, journal file is analyzed, obtain target information; According to target information, formulate the personalized service to client, determine the information needing to push.
But such scheme obtains journal file, analyze, obtain in the process of target information, do not consider for different access destination objects, determine the different analytical models to user behavior, generate personality analysis data, and then ensure the specific aim of pushed information.
Summary of the invention
The invention provides a kind of data processing method based on cloud computing, system and server, to solve the problem.
The invention provides a kind of data processing method based on cloud computing.Said method comprises the following steps:
Server, according to different access destination objects, obtains corresponding behavior characteristic information;
Described server extracts target critical information and according to described target critical information, determines corresponding information pushing control strategy from the behavior characteristic information obtained.
The present invention also provides a kind of data handling system based on cloud computing, comprises server, user terminal; Wherein, described server is connected with described user terminal;
Described server, according to different access destination objects, obtains corresponding behavior characteristic information;
Described server extracts target critical information and according to described target critical information, after determining corresponding information pushing control strategy, carries out information pushing to described user terminal from the behavior characteristic information obtained.
The present invention also provides a kind of server, comprises acquisition module, strategic control module; Wherein, described acquisition module is connected with described strategic control module;
Described acquisition module, for according to different access destination objects, obtains corresponding behavior characteristic information and described behavior characteristic information is sent to described strategic control module;
Described strategic control module, for extracting target critical information and according to described target critical information, determining corresponding information pushing control strategy from the behavior characteristic information obtained.
By following scheme: server, according to different access destination objects, obtains corresponding behavior characteristic information; Described server extracts target critical information and according to described target critical information, determines corresponding information pushing control strategy from the behavior characteristic information obtained; Achieve for different access destination objects, determine the different analytical models to user behavior, generate personality analysis data, and then ensure the specific aim of pushed information, greatly improve Consumer's Experience.
By following scheme: described server sends information to user terminal, whether prompting user receives information to be pushed, wherein, carries the key word information of information to be pushed in described information; After described user terminal receives described information, if select rejection, then judge the rejection number of times of described user terminal further, if described rejection number of times is greater than preset times, then no longer to described user terminal pushed information, achieve and take into full account user intention when pushed information, avoid by customer complaint.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, and form a application's part, schematic description and description of the present invention, for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Figure 1 shows that the data processing method process flow diagram based on cloud computing of the embodiment of the present invention 1;
Figure 2 shows that the server architecture figure of the embodiment of the present invention 2;
Figure 3 shows that the another structural drawing of the server of the embodiment of the present invention 3
Figure 4 shows that the data handling system structural drawing based on cloud computing of the embodiment of the present invention 4.
Embodiment
Hereinafter also describe the present invention in detail with reference to accompanying drawing in conjunction with the embodiments.It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.
Figure 1 shows that the data processing method process flow diagram based on cloud computing of the embodiment of the present invention 1, comprise the following steps:
Step 101: server, according to different access destination objects, obtains corresponding behavior characteristic information;
Further, described server stores access destination object and the behavior characteristic information table of comparisons, as shown in table 1 below:
Access destination object and the behavior characteristic information table of comparisons
Table 1
Further, described destination object comprises shopping class website, video class website, GT grand touring website; Wherein, described shopping class website comprises Taobao, store, Jingdone district, poly-U.S. quality product; Described video class website comprises potato net, Yoqoo; Described GT grand touring website comprises way ox net, donkey mother net, ant Cellular Networks.
Certainly, above-mentioned destination object only illustrates, can also comprise other class website, such as: exchange of technology website, is not used at this protection domain limiting the present embodiment.
Step 102: described server extracts target critical information and according to described target critical information, determines corresponding information pushing control strategy from the behavior characteristic information obtained.
Further, described server extracts target critical information and according to described target critical information, determines that the process of corresponding information pushing control strategy is from the behavior characteristic information obtained:
When described destination object is for shopping class website, then described target critical information is goods matching degree, wherein, and described goods matching degree=user's commodity purchasing number of times/user's goods browse number of times;
According to the goods matching degree scope at described goods matching degree place, determine corresponding information pushing control strategy.
Further, described server stores goods matching degree scope and the information pushing control strategy table of comparisons, as shown in table 2 below:
Goods matching degree scope and the information pushing control strategy table of comparisons
| Goods matching degree scope (X) | Information pushing control strategy |
| 0≤X≤0.5 | Up-to-date merchandise news is pushed to user |
| 0.5＜X≤0.8 | To user push up-to-date merchandise news and user buys time make a call to 9.5 foldings |
| X＞0.8 | To user push up-to-date merchandise news and user buys time make a call to 9 foldings |
Table 2
Further, described server extracts target critical information and according to described target critical information, determines that the process of corresponding information pushing control strategy is from the behavior characteristic information obtained:
When described destination object is video class website, then described target critical information is video matching degree, and wherein, described video matching degree=user charges video buys number of times/user charges video tour number of times;
According to the video matching degree scope at described video matching degree place, determine corresponding information pushing control strategy.
Further, described server stores video matching degree scope and the information pushing control strategy table of comparisons, as shown in table 3 below:
Video matching degree scope and the information pushing control strategy table of comparisons
Table 3
Further, described server extracts target critical information and according to described target critical information, determines that the process of corresponding information pushing control strategy is from the behavior characteristic information obtained:
When described destination object is GT grand touring website, then described target critical information is tourism matching degree, wherein, and described tourism matching degree=user's tourist site paying number of times/user's tourist site number of visits;
According to the tourism matching degree scope at described tourism matching degree place, determine corresponding information pushing control strategy.
Further, described server stores tourism matching degree scope and the information pushing control strategy table of comparisons, as shown in table 4 below:
Tourism matching degree scope and the information pushing control strategy table of comparisons
Table 4
Further, described server extracts target critical information and according to described target critical information, after determining corresponding information pushing control strategy, also comprises from the behavior characteristic information obtained:
Described server sends information to user terminal, and whether prompting user receives information to be pushed, wherein, carries the key word information of information to be pushed in described information;
After described user terminal receives described information, agree to receive if select, then described server sends information to be pushed to described user terminal.
Further, described server extracts target critical information and according to described target critical information, after determining corresponding information pushing control strategy, also comprises from the behavior characteristic information obtained:
Described server sends information to user terminal, and whether prompting user receives information to be pushed, wherein, carries the key word information of information to be pushed in described information;
After described user terminal receives described information, if select rejection, then judge the rejection number of times of described user terminal further, if described rejection number of times is greater than preset times, then no longer to described user terminal pushed information.
Wherein, described preset times can set according to actual needs flexibly (such as: 5 times), is not used at this protection domain limiting the present embodiment.
Figure 2 shows that the server architecture figure of the embodiment of the present invention 2, comprise acquisition module 201, strategic control module 202; Wherein, described acquisition module 201 is connected with described strategic control module 202;
Described acquisition module 201, for according to different access destination objects, obtains corresponding behavior characteristic information and described behavior characteristic information is sent to described strategic control module 202;
Described strategic control module 202, for extracting target critical information and according to described target critical information, determining corresponding information pushing control strategy from the behavior characteristic information obtained.
Figure 3 shows that the another structural drawing of the server of the embodiment of the present invention 3, on the basis of Fig. 2, add " info push module 203 "; Wherein, described info push module 203 is connected with described strategic control module 202;
Described info push module 203, pushes tactful rear line terminal for obtaining information from described strategic control module 202 and carries out information pushing.
Figure 4 shows that the data handling system structural drawing based on cloud computing of the embodiment of the present invention 4, comprise server, user terminal; Wherein, described server is connected with described user terminal;
Described server, according to different access destination objects, obtains corresponding behavior characteristic information;
Described server extracts target critical information and according to described target critical information, after determining corresponding information pushing control strategy, carries out information pushing to described user terminal from the behavior characteristic information obtained.
By following scheme: server, according to different access destination objects, obtains corresponding behavior characteristic information; Described server extracts target critical information and according to described target critical information, determines corresponding information pushing control strategy from the behavior characteristic information obtained; Achieve for different access destination objects, determine the different analytical models to user behavior, generate personality analysis data, and then ensure the specific aim of pushed information, greatly improve Consumer's Experience.
By following scheme: described server sends information to user terminal, whether prompting user receives information to be pushed, wherein, carries the key word information of information to be pushed in described information; After described user terminal receives described information, if select rejection, then judge the rejection number of times of described user terminal further, if described rejection number of times is greater than preset times, then no longer to described user terminal pushed information, achieve and take into full account user intention when pushed information, avoid by customer complaint.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. based on a data processing method for cloud computing, it is characterized in that, comprise the following steps:
Server, according to different access destination objects, obtains corresponding behavior characteristic information;
Described server extracts target critical information and according to described target critical information, determines corresponding information pushing control strategy from the behavior characteristic information obtained.
2. method according to claim 1, is characterized in that, described destination object comprises shopping class website, video class website, GT grand touring website.
3. method according to claim 1, is characterized in that, described server extracts target critical information and according to described target critical information, determines that the process of corresponding information pushing control strategy is from the behavior characteristic information obtained:
When described destination object is for shopping class website, then described target critical information is goods matching degree, wherein, and described goods matching degree=user's commodity purchasing number of times/user's goods browse number of times;
According to the goods matching degree scope at described goods matching degree place, determine corresponding information pushing control strategy.
4. method according to claim 1, is characterized in that, described server extracts target critical information and according to described target critical information, determines that the process of corresponding information pushing control strategy is from the behavior characteristic information obtained:
When described destination object is video class website, then described target critical information is video matching degree, and wherein, described video matching degree=user charges video buys number of times/user charges video tour number of times;
According to the video matching degree scope at described video matching degree place, determine corresponding information pushing control strategy.
5. method according to claim 1, is characterized in that, described server extracts target critical information and according to described target critical information, determines that the process of corresponding information pushing control strategy is from the behavior characteristic information obtained:
When described destination object is GT grand touring website, then described target critical information is tourism matching degree, wherein, and described tourism matching degree=user's tourist site paying number of times/user's tourist site number of visits;
According to the tourism matching degree scope at described tourism matching degree place, determine corresponding information pushing control strategy.
6. the method according to claim 3 or 4 or 5, is characterized in that, described server extracts target critical information and according to described target critical information, after determining corresponding information pushing control strategy, also comprises from the behavior characteristic information obtained:
Described server sends information to user terminal, and whether prompting user receives information to be pushed, wherein, carries the key word information of information to be pushed in described information;
After described user terminal receives described information, agree to receive if select, then described server sends information to be pushed to described user terminal.
7. the method according to claim 3 or 4 or 5, is characterized in that, described server extracts target critical information and according to described target critical information, after determining corresponding information pushing control strategy, also comprises from the behavior characteristic information obtained:
Described server sends information to user terminal, and whether prompting user receives information to be pushed, wherein, carries the key word information of information to be pushed in described information;
After described user terminal receives described information, if select rejection, then judge the rejection number of times of described user terminal further, if described rejection number of times is greater than preset times, then no longer to described user terminal pushed information.
8. a server, is characterized in that, comprises acquisition module, strategic control module; Wherein, described acquisition module is connected with described strategic control module;
Described acquisition module, for according to different access destination objects, obtains corresponding behavior characteristic information and described behavior characteristic information is sent to described strategic control module;
Described strategic control module, for extracting target critical information and according to described target critical information, determining corresponding information pushing control strategy from the behavior characteristic information obtained.
9. server according to claim 8, is characterized in that, also comprises info push module; Wherein, described info push module is connected with described strategic control module;
Described info push module, pushes tactful rear line terminal for obtaining information from described strategic control module and carries out information pushing.
10. based on a data handling system for cloud computing, it is characterized in that, comprise server, user terminal; Wherein, described server is connected with described user terminal;
Described server, according to different access destination objects, obtains corresponding behavior characteristic information;
Described server extracts target critical information and according to described target critical information, after determining corresponding information pushing control strategy, carries out information pushing to described user terminal from the behavior characteristic information obtained.
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Application publication date: 20160127 |