CN106157099A - A kind of user's click information bonusing method based on big data - Google Patents
A kind of user's click information bonusing method based on big data Download PDFInfo
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- CN106157099A CN106157099A CN201610801903.9A CN201610801903A CN106157099A CN 106157099 A CN106157099 A CN 106157099A CN 201610801903 A CN201610801903 A CN 201610801903A CN 106157099 A CN106157099 A CN 106157099A
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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
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0222—During e-commerce, i.e. online transactions
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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
- G06Q30/0253—During e-commerce, i.e. online transactions
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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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Abstract
The present invention provides a kind of user's click information bonusing method based on big data, award is obtained according to the number of times clicked on including information pushing and user, compared with prior art, the present invention has following beneficial effect: obtain the demand of user by analyzing user data, improve user and obtain the efficiency of information needed and information pushing, not only avoid a large amount of irrelevant informations that user in ecommerce searches in browsing produced by required commodity, substantially increase the efficiency of ecommerce, substantially improve the experience of user simultaneously, user can be effectively guided to do shopping, meet user's purchase experiences, simultaneously, by can obtain corresponding award according to the number of times user clicked on, further improve user and click on the desire of pushed information, the sales promotion of convenience goods.
Description
Technical field
The present invention is a kind of user's click information bonusing method based on big data, belongs to e-commerce field.
Background technology
The Internet is just as a double-edged sword, although largely it has promoted the fast development of ecommerce, makes businessman
Can pass through e-commerce platform by the merchandise display of oneself to consumer, consumer is home-confined just can be complete to merchandise news
Grasping, and conclude the transaction with businessman, each takes what he needs for both sides, but is as the continuous expansion of ecommerce scale, commodity number and
Kind quickly increases, and customer need devotes a tremendous amount of time and just can find the commodity oneself wanting to buy.
This browse the most unrelated information and product process can make the consumer that is submerged in problem of information overload undoubtedly
Constantly run off.Being in constantly extension along with e-commerce system, system structure constantly complicates, user and business simultaneously
The quantity of product linearly upper body, but present stage a lot of proposed algorithm limits due to the condition of self, there are two aspects
Problem: openness problem and scaling concern, what this was serious have impact on the quality of recommendation.
Simultaneously along with the development of the Internet and universal, information explosion increases to be made user be difficult to timely and accurately to be found to have use
Data source, cause people to be perplexed by information overload during obtaining abundant data source.How to help user from swashing
The magnanimity information increased obtains effective data source, provides the user more rich, comprehensive on one's own initiative and meet its potential demand
Data source, brings challenge greatly to e-commerce field technology.But, current techniques have ignored specific environment to user
The impact of interest.On the other hand, in the face of numerous resources, currently existing scheme according to user to pushing away that the evaluation information of resource produces
Sending, this propelling movement scored based on the page can only embody user's interest situation to page entirety.But actually user is to page
Face resource evaluate what the attribute character being had according to it often produced, therefore according to only according to whole to resource of user
The propelling movement result that body is scored and produced often has one-sidedness.
Although big data technique can push merchandise news to user, but can not trigger the desire that user clicks on.
Summary of the invention
The deficiency existed for prior art, it is an object of the present invention to provide the prize of a kind of user's click information based on big data
Encourage method, with the problem solving to propose in above-mentioned background technology.
To achieve these goals, the present invention is to realize by the following technical solutions: a kind of use based on big data
Family click information bonusing method, obtains award, wherein information pushing bag including information pushing and user according to the number of times clicked on
Include following steps:
Step 1, data acquisition, gather user data by multiple toy data bases, multiple toy data bases are by gathering user
Shopping website click on commodity record, buy commodity record and in commodity purchasing page residence time；
Step 2, data prediction, by multiple toy data bases to gather user data carry out data cleansing, data change,
During Data Integration and data load, basic data conversion is pretreated data by one or more operations, then by many
Individual toy data base is to these pretreated data import to a large-scale distributed data base concentrated or distributed
Storage cluster；
Step 3, data store, and by a large-scale distributed data base concentrated, or distributed storage cluster is by pretreatment
After data be stored in a large-scale distributed data base concentrated, or in distributed storage cluster；
Step 4, data analysis excavates, utilizes a large-scale distributed data base concentrated, or distributed storage cluster is to depositing
Storage mass data in the inner carries out common analysis and Classifying Sum, with satisfied most of common analysis demands, existing
Carry out calculating based on various algorithms above data, thus play the effect of prediction, thus realize some high-level data analysiss
Demand, thus predict future user's purchasing behavior；
Step 5, result presentation, when user browses shopping webpage, according to user's purchasing behavior that prediction is following, push to user
Shopping items information；
User obtains according to the number of times clicked on and rewards, and comprises the following steps:
Step S1, enters browser interface, and now user enters specific shopping webpage by browser；
Step S2, enters login interface, and in this specific shopping webpage, user enters login interface by corresponding button；
Step S3, if for member, user is according to the situation of self, it is judged that the most whether register meeting in this shopping webpage
Member, and according to result, enter different steps；
Step S4, registered members, user, according to the prompting of website, fills in identity information, described identity information include individual name,
Login account, address, cell-phone number and password, after having filled in, shopping webpage is by entering with the data in its data storehouse
Row contrast, repeats if there is not information, then carries out step S2；
Step S5, member log in, user, according to the prompting of website, fills in identity information, described identity information include individual name,
Login account, address, cell-phone number and password, after having filled in, shopping webpage is by entering with the data in its data storehouse
Row contrast, if information is identical with the information registered before, then carries out step S6；
Step S6, if clicking on the information pushed, whether website is clicked on the information of propelling movement according to user thus carried out different steps
Suddenly；
Step S7, obtains according to the number of times clicked on and rewards, and the shopping items information that user is pushed by click enters shopping items
Browser interface, whenever the shopping items information that user is pushed by click, enters shopping items browser interface, and the number of times of click adds
One, the number of times that website is clicked on according to user, the award of correspondence is sent to user；
Step S8, terminates, if user clicks on the information of propelling movement, then obtains the award of correspondence and terminates, if user does not clicks on propelling movement
Information, the most directly terminate.
Further, in step s3, the most whether user is according to the situation of self, it is judged that note in this shopping webpage
Volume becomes member, if user is not registered members, then enters step S4, if user has registered non-member, then enters step S5.
Further, in step s 6, if user clicks on the information of propelling movement, then enter step S7, push away if user does not clicks on
The information sent, then enter step S8.
Further, in the step s 7, reward as in FSI, cash, telephone expenses and free of cost commodity
Plant or multiple.
Beneficial effects of the present invention: a kind of based on big data user's click information bonusing methods of the present invention, by dividing
Analysis user data obtains the demand of user, improves user and obtains the efficiency of information needed and information pushing, not only avoid electronics
In commercial affairs, user searches for a large amount of irrelevant informations in browsing produced by required commodity, substantially increases the efficiency of ecommerce,
Substantially improve the experience of user simultaneously, can effectively guide user to do shopping, meet user's purchase experiences, pass through meanwhile
Corresponding award can be obtained according to the number of times user clicked on, further improve user and click on the desire of pushed information, convenient
The sales promotion of commodity.
Accompanying drawing explanation
By the detailed description non-limiting example made with reference to the following drawings of reading, the further feature of the present invention,
Purpose and advantage will become more apparent upon:
Fig. 1 is the information pushing block diagram of a kind of user's click information bonusing methods based on big data of the present invention；
Fig. 2 is that the user of a kind of user's click information bonusing methods based on big data of the present invention obtains prize according to the number of times clicked on
Encourage block diagram.
Detailed description of the invention
For the technological means making the present invention realize, creation characteristic, reach purpose and be easy to understand with effect, below in conjunction with
Detailed description of the invention, is expanded on further the present invention.
Referring to Fig. 1 and Fig. 2, the present invention provides a kind of technical scheme: a kind of user's click information based on big data are encouraged
Encouraging method, obtain award including information pushing and user according to the number of times clicked on, wherein information pushing comprises the following steps:
Step 1, data acquisition, gather user data by multiple toy data bases, multiple toy data bases are by gathering user
Shopping website click on commodity record, buy commodity record and in commodity purchasing page residence time；
Step 2, data prediction, by multiple toy data bases to gather user data carry out data cleansing, data change,
During Data Integration and data load, basic data conversion is pretreated data by one or more operations, then by many
Individual toy data base is to these pretreated data import to a large-scale distributed data base concentrated or distributed
Storage cluster；
Step 3, data store, and by a large-scale distributed data base concentrated, or distributed storage cluster is by pretreatment
After data be stored in a large-scale distributed data base concentrated, or in distributed storage cluster；
Step 4, data analysis excavates, utilizes a large-scale distributed data base concentrated, or distributed storage cluster is to depositing
Storage mass data in the inner carries out common analysis and Classifying Sum, with satisfied most of common analysis demands, existing
Carry out calculating based on various algorithms above data, thus play the effect of prediction, thus realize some high-level data analysiss
Demand, thus predict future user's purchasing behavior；
Step 5, result presentation, when user browses shopping webpage, according to user's purchasing behavior that prediction is following, push to user
Shopping items information；
User obtains according to the number of times clicked on and rewards, and comprises the following steps:
Step S1, enters browser interface, and now user enters specific shopping webpage by browser；
Step S2, enters login interface, and in this specific shopping webpage, user enters login interface by corresponding button；
Step S3, if for member, user is according to the situation of self, it is judged that the most whether register meeting in this shopping webpage
Member, and according to result, enter different steps；
Step S4, registered members, user, according to the prompting of website, fills in identity information, described identity information include individual name,
Login account, address, cell-phone number and password, after having filled in, shopping webpage is by entering with the data in its data storehouse
Row contrast, repeats if there is not information, then carries out step S2；
Step S5, member log in, user, according to the prompting of website, fills in identity information, described identity information include individual name,
Login account, address, cell-phone number and password, after having filled in, shopping webpage is by entering with the data in its data storehouse
Row contrast, if information is identical with the information registered before, then carries out step S6；
Step S6, if clicking on the information pushed, whether website is clicked on the information of propelling movement according to user thus carried out different steps
Suddenly；
Step S7, obtains according to the number of times clicked on and rewards, and the shopping items information that user is pushed by click enters shopping items
Browser interface, whenever the shopping items information that user is pushed by click, enters shopping items browser interface, and the number of times of click adds
One, the number of times that website is clicked on according to user, the award of correspondence is sent to user；
Step S8, terminates, if user clicks on the information of propelling movement, then obtains the award of correspondence and terminates, if user does not clicks on propelling movement
Information, the most directly terminate.
In step s3, user is according to the situation of self, it is judged that the most whether register member in this shopping webpage,
If user is not registered members, then enter step S4, if user has registered non-member, then enter step S5.
In step s 6, if user clicks on the information of propelling movement, then enter step S7, if user does not clicks on the information of propelling movement,
Then enter step S8.
In the step s 7, reward as one or more in FSI, cash, telephone expenses and free of cost commodity.
As one embodiment of the present of invention: obtain the demand of user by analyzing user data, improve user and obtain institute
Needing the efficiency of information and information pushing, not only avoid that user in ecommerce searches in browsing produced by required commodity is big
Amount irrelevant information, substantially increases the efficiency of ecommerce, substantially improves the experience of user simultaneously, can effectively guide
User does shopping, and meets user's purchase experiences, meanwhile, by obtaining corresponding award according to the number of times user clicked on, further
The user that improves click on the desire of pushed information, the sales promotion of convenience goods.
The ultimate principle of the present invention and principal character and advantages of the present invention are more than shown and described, for this area skill
For art personnel, it is clear that the invention is not restricted to the details of above-mentioned one exemplary embodiment, and without departing substantially from the present invention spirit or
In the case of basic feature, it is possible to realize the present invention in other specific forms.Therefore, no matter from the point of view of which point, all should be by
Embodiment regards exemplary as, and is nonrestrictive, the scope of the present invention by claims rather than on state
Bright restriction, it is intended that include all changes fallen in the implication of equivalency and scope of claim in the present invention
In.
Although moreover, it will be appreciated that this specification is been described by according to embodiment, but the most each embodiment only wraps
Containing an independent technical scheme, this narrating mode of description is only that for clarity sake those skilled in the art should
Description can also be formed those skilled in the art through appropriately combined as an entirety, the technical scheme in each embodiment
May be appreciated other embodiments.
Claims (4)
1. user's click information bonusing method based on big data, it is characterised in that: include information pushing and user's root
The number of times that strong point is hit obtains rewards, and wherein information pushing comprises the following steps:
Step 1, data acquisition, gather user data by multiple toy data bases, multiple toy data bases are by gathering user
Shopping website click on commodity record, buy commodity record and in commodity purchasing page residence time；
Step 2, data prediction, by multiple toy data bases to gather user data carry out data cleansing, data change,
During Data Integration and data load, basic data conversion is pretreated data by one or more operations, then by many
Individual toy data base is to these pretreated data import to a large-scale distributed data base concentrated or distributed
Storage cluster；
Step 3, data store, and by a large-scale distributed data base concentrated, or distributed storage cluster is by pretreatment
After data be stored in a large-scale distributed data base concentrated, or in distributed storage cluster；
Step 4, data analysis excavates, utilizes a large-scale distributed data base concentrated, or distributed storage cluster is to depositing
Storage mass data in the inner carries out common analysis and Classifying Sum, with satisfied most of common analysis demands, existing
Carry out calculating based on various algorithms above data, thus play the effect of prediction, thus realize some high-level data analysiss
Demand, thus predict future user's purchasing behavior；
Step 5, result presentation, when user browses shopping webpage, according to user's purchasing behavior that prediction is following, push to user
Shopping items information；
User obtains according to the number of times clicked on and rewards, and comprises the following steps:
Step S1, enters browser interface, and now user enters specific shopping webpage by browser；
Step S2, enters login interface, and in this specific shopping webpage, user enters login interface by corresponding button；
Step S3, if for member, user is according to the situation of self, it is judged that the most whether register meeting in this shopping webpage
Member, and according to result, enter different steps；
Step S4, registered members, user, according to the prompting of website, fills in identity information, described identity information include individual name,
Login account, address, cell-phone number and password, after having filled in, shopping webpage is by entering with the data in its data storehouse
Row contrast, repeats if there is not information, then carries out step S2；
Step S5, member log in, user, according to the prompting of website, fills in identity information, described identity information include individual name,
Login account, address, cell-phone number and password, after having filled in, shopping webpage is by entering with the data in its data storehouse
Row contrast, if information is identical with the information registered before, then carries out step S6；
Step S6, if clicking on the information pushed, whether website is clicked on the information of propelling movement according to user thus carried out different steps
Suddenly；
Step S7, obtains according to the number of times clicked on and rewards, and the shopping items information that user is pushed by click enters shopping items
Browser interface, whenever the shopping items information that user is pushed by click, enters shopping items browser interface, and the number of times of click adds
One, the number of times that website is clicked on according to user, the award of correspondence is sent to user；
Step S8, terminates, if user clicks on the information of propelling movement, then obtains the award of correspondence and terminates, if user does not clicks on propelling movement
Information, the most directly terminate.
A kind of user's click information bonusing methods based on big data the most according to claim 1, it is characterised in that: in step
In rapid S3, user is according to the situation of self, it is judged that the most whether register member in this shopping webpage, if user does not note
Volume member, then enter step S4, if user has registered non-member, then enters step S5.
A kind of user's click information bonusing methods based on big data the most according to claim 1, it is characterised in that: in step
In rapid S6, if user clicks on the information of propelling movement, then enter step S7, if user does not clicks on the information of propelling movement, then enter step S8.
A kind of user's click information bonusing methods based on big data the most according to claim 1, it is characterised in that: in step
In rapid S7, reward as one or more in FSI, cash, telephone expenses and free of cost commodity.
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Cited By (10)
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| CN106777356A (en) * | 2017-01-19 | 2017-05-31 | 姜俊 | A kind of data analysing method based on LIMS systems |
| CN107169786A (en) * | 2017-04-25 | 2017-09-15 | 北京趣拿软件科技有限公司 | The treating method and apparatus of data resource |
| CN107169842A (en) * | 2017-05-31 | 2017-09-15 | 合肥亿迈杰软件有限公司 | A kind of electronic commerce data screening system based on commodity data |
| CN107590692A (en) * | 2017-09-08 | 2018-01-16 | 杭州量聚网络科技有限公司 | Free trial plateform system and its method based on screening client under big data environment |
| CN108182132A (en) * | 2017-12-27 | 2018-06-19 | 五八有限公司 | A kind of task bonusing method, equipment and computer readable storage medium |
| CN108596650A (en) * | 2018-03-26 | 2018-09-28 | 首媒科技（北京）有限公司 | The data processing method and device launched for advertisement or merchandise news |
| WO2019100573A1 (en) * | 2017-11-21 | 2019-05-31 | 重庆金窝窝网络科技有限公司 | Block chain-based action processing method and device |
| CN110490706A (en) * | 2019-08-13 | 2019-11-22 | 蚌埠聚本电子商务产业园有限公司 | A kind of commodity method for pushing and system for e-commerce |
| CN113191800A (en) * | 2021-04-23 | 2021-07-30 | 广东便捷神科技股份有限公司 | Method and device for counting click rate of advertisements on APP |
| CN113641912A (en) * | 2021-08-20 | 2021-11-12 | 北京得间科技有限公司 | Information pushing method, computing device and computer storage medium |
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| CN106777356A (en) * | 2017-01-19 | 2017-05-31 | 姜俊 | A kind of data analysing method based on LIMS systems |
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| CN113191800A (en) * | 2021-04-23 | 2021-07-30 | 广东便捷神科技股份有限公司 | Method and device for counting click rate of advertisements on APP |
| CN113641912A (en) * | 2021-08-20 | 2021-11-12 | 北京得间科技有限公司 | Information pushing method, computing device and computer storage medium |
| CN113641912B (en) * | 2021-08-20 | 2024-02-09 | 北京得间科技有限公司 | Information pushing method, computing device and computer storage medium |
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