CN105761099A - Business information recommendation system and method based on behavior data of multi-business channel - Google Patents
Business information recommendation system and method based on behavior data of multi-business channel Download PDFInfo
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Abstract
The present invention discloses a business information recommendation system and method based on behavior data of a multi-business channel. The business information recommendation system comprises: an obtainment module configured to obtain users' account information registered in business channels; an association module configured to associate with the same user's registered account information in each business channel; an acquisition module configured to acquire users' behavior data generated through operation execution for the same commercial tenant in each business channel; an analysis module configured to analyze the users' account information from the acquired behavior data; a collection module configured to collect the same user's behavior data to generate the user's behavior characteristics; and a recommendation module configured to perform business information recommendation according to the user's behavior characteristics. The business information recommendation system and method based on behavior data of a multi-business channel are able to realize the connection of the same commercial tenant's different business channels and allow commercial tenants to accurately and pointedly recommend business information for target users so as to facilitate the commercial tenants and the users.
Description
Technical field
The present invention relates to information identification and recommendation field, particularly to business information commending system and the method for a kind of behavioral data based on multi-service channel.
Background technology
Existing user behavior analysis and recommendation are generally confined in single channel.Although some system supports to authorize the account associating other system platform, but truly completes the integration of account and integrated, the behavioral data of user is discrete, it is difficult to find out the logical relation of same user behavior.When the trade company such as enterprise or brand commences business at different channels, not only need, at each channel, the behavior of user is carried out independent analysis, the more important thing is, need to get up to be analyzed at the integration of behavior of different channels by user, thus doing behavior analysis for " natural person " but not " account " and precisely recommending, and this current technology difficult point exactly.
For a user, if the different business channel of same trade company cannot dock, consumption experience and the interests of user will be affected, for instance user cannot with the integral synchronization etc. of channel on line at the integration of solid shop/brick and mortar store.Shift on consumer's line, conventional door StoreFront faces under the background of transition, and big data will be increasingly becoming the basis of the trade company such as enterprise and brand strategic decision, but how by user behavior data integration lower by all kinds of means, is a great problem nowadays faced.
Summary of the invention
The technical problem to be solved in the present invention is to overcome the different business channel of same trade company in prior art to achieve a butt joint, behavior analysis for user is only limitted to single channel, cause that trade company cannot make the defect of information recommendation accurately, it is provided that a kind of trade company that enables to realizes business information commending system and the method for the behavioral data based on multi-service channel of information recommendation accurately.
The present invention solves above-mentioned technical problem by following technical proposals:
A kind of business information commending system of the behavioral data based on multi-service channel, it is characterized in that, including:
One acquisition module, for obtaining the account information that user registers at multiple business channels；
One relating module, for pre-conditioned being associated the account information that same user registers at each business channel according to one；
One acquisition module, performs, to same trade company, the behavioral data that operation generates for gathering user under each business channel；
One parsing module, for parsing user's account information at each business channel from the behavioral data gathered；
One summarizing module, for collecting the behavioral data of same user, to generate the behavior characteristics of user；
And a recommending module, carry out business information recommendation for the behavior characteristics according to user.
This programme is applicable to the situation that same trade company commences business at multiple business channels, specifically, same trade company is performed the behavioral data that operation generates by gathering user by business information commending system under multiple business channels, and the behavioral data of same user is collected, thus generating the behavior characteristics of user, and carry out business information recommendation accordingly, the different business channel making same trade company is capable of docking, also make trade company can recommend business information exactly, targetedly to targeted customer simultaneously, all bring facility for trade company and user.
Wherein, multiple business channels can be channel on line, for instance each electricity business's platform and online shopping mall etc., it is also possible to for channel under line, for instance the solid shop/brick and mortar store such as brand shop, retail sales.When business channel is channel on line, acquisition module can obtain the account information of user's registration by approach such as the open interfaces of channel on line, and similarly, acquisition module can also pass through the approach collection behavioral datas such as open interface；When business channel is channel under line, acquisition module can pass through the approach such as the cash register terminal of channel, Quick Response Code barcode scanning under line and obtain the account information of user's registration, similarly, acquisition module can also pass through the approach such as cash register terminal, non-contact inductive equipment collection behavioral data.
In this programme, relating module is for being associated the account information that same user registers at each business channel according to pre-conditioned, give an example, user A in the business channel L1 account information registered as AA, in the business channel L2 account information registered as aa, relating module is for being associated user A at business channel L1 and L2 register account number information AA and aa.Wherein, the result of above-mentioned association can also be stored in a tables of data by relating module, facilitates subsequent query.It should be noted that, pre-conditioned can be one, can also be multiple, it is specifically as follows the user that can show that in different business channel register account number information and belongs to any condition of same user, for instance the account can registered at different business channel for user employs identical phone number or email address etc..Give an example, when business channel L1 and L2 is channel on line, if user is when the account of business channel L1 and business channel L2 uses identical phone number or email address, then it is assumed that meet pre-conditioned；When business channel L1 is channel on line, and business channel L2 is channel under line, if customer service oneself lower channel chartered account information online informed by user's channel on the line of login account, then it is assumed that meet pre-conditioned；When business channel L1 and L2 is channel under line, if user informs that when business channel L1 cashier oneself is when business channel L2 chartered account information, then it is assumed that meet pre-conditioned.
In this programme, the foundation that behavior characteristics generates is that same trade company is performed the behavioral data that operation generates by user, wherein, the content that behavior characteristics comprises can generate according to the demand of trade company, specifically can comprise the hobby of user, such as like cosmetics, the age level of user can be comprised, for instance 20 years old-25 years old, it is also possible to comprise user and whether trade company was performed a certain operation, such as the commodity of trade company are added shopping cart, it is also possible to comprise other guide.It should be noted that each behavior characteristics is both for same user and generates, i.e. the corresponding user of each behavior characteristics.
It is preferred that this recommending module includes:
One analyzes subelement, for the behavior characteristics of user is analyzed, different classes of user to be divided into；
And one recommend subelement, for different classes of user is carried out business information recommendation.
In this programme, analyze subelement and user can be divided into different classes of according to the behavior characteristics of user, give an example, it is possible to according to the behavior characteristics of the hobby comprising user, user is divided into the user etc. of the user of hobby cosmetics, the user liking clothing or hobby handbag.Correspondingly, it is recommended that the user of hobby cosmetics can be recommended the sales promotion information relevant to cosmetics by subelement, it is possible to the user of hobby clothing is recommended the sales promotion information relevant to clothing, it is also possible to the user of hobby handbag is recommended the sales promotion information relevant to handbag.This programme enables to business information and is recommended to user targetedly, improves the accuracy rate that business information is recommended.
It is preferred that this analysis subelement is additionally operable to:
It is analyzed according to the type of service of this trade company comprised in behavior characteristics；And/or,
It is analyzed according to the behavioral data comprised in behavior characteristics；And/or,
It is analyzed according to the account information comprised in behavior characteristics.
In this programme, when the type of service of this trade company comprised according to behavior characteristics is analyzed, it is possible to user is divided into the user paying close attention to different service types, for instance the user paying close attention to food, the user paying close attention to clothing and pay close attention to the user etc. of electrical equipment.
When the behavioral data comprised according to behavior characteristics is analyzed, specifically can analyze user to the operation performed by trade company, user can be divided into the user that trade company performed a certain operation, for instance got the user of reward voucher, and bought the amount of money user more than 1000 yuan and bought single user etc..
When the account information comprised according to behavior characteristics is analyzed, it is possible to user is divided into the user etc. in female user, the age level user at 20 years old-25 years old and Shanghai.
It is preferred that this business information commending system also includes a display module, it is used for showing analysis result.
In this programme, it is possible to by display module, the analysis result analyzing subelement is showed user and/or trade company, wherein it is possible to utilize the modes such as figure, form or animation to be shown.
It is preferred that the type of service of this trade company include following at least one: food, clothing, electrical equipment, home textile, books, digital product, cosmetics, footwear, case and bag.In this programme, the type of service of trade company is not limited to above-mentioned several types, it is also possible to include other type of service.
It is preferred that user the operation that same trade company performs is included following at least one: the browsing of website on line, get reward voucher, add shopping cart, place an order and the shop of strolling of solid shop/brick and mortar store under line, get reward voucher, try out, check.In this programme, the operation that trade company performs is not limited to above-mentioned several operation by user, it is also possible to include other operation.
It is preferred that the account information of user include following at least one: sex, age, phone number, email address, city, place, occupation, birthday.In this programme, the account information of user is not limited to above-mentioned several information, it is also possible to include the out of Memory of user.
The present invention also provides for the business information of a kind of behavioral data based on multi-service channel and recommends method, it is characterized in that, this business information recommends method to utilize the business information commending system of the above-mentioned behavioral data based on multi-service channel to realize, and this business information recommends method to comprise the following steps:
S1, obtain the account information registered at multiple business channels of user；
S2, pre-conditioned the account information that same user registers at each business channel is associated according to one；
S3, gather user under each business channel, same trade company performed the behavioral data that generates of operation；
S4, from gather behavioral data parse user's account information at each business channel；
S5, the behavioral data of same user is collected, to generate the behavior characteristics of user；
S6, carry out business information recommendation according to the behavior characteristics of user.
It is preferred that step S6Comprise the following steps:
S61, the behavior characteristics of user is analyzed, different classes of so that user is divided into；
S62, different classes of user is carried out business information recommendation.
It is preferred that step S61In also include:
It is analyzed according to the type of service of this trade company comprised in behavior characteristics；And/or,
It is analyzed according to the behavioral data comprised in behavior characteristics；And/or,
It is analyzed according to the account information comprised in behavior characteristics.
It is preferred that step S61In also include: show analyze result.
Meeting on the basis of this area general knowledge, above-mentioned each optimum condition, can combination in any, obtain the preferred embodiments of the invention.
The actively progressive effect of the present invention is in that: compared with prior art, same trade company is performed the behavioral data that operation generates by gathering user by the business information commending system of the present invention under multiple business channels, and the behavioral data of same user is collected, thus generating the behavior characteristics of user, and carry out business information recommendation accordingly, the different business channel making same trade company is capable of docking, also make trade company can recommend business information exactly, targetedly to targeted customer simultaneously, all bring facility for trade company and user.
Accompanying drawing explanation
Fig. 1 is the structured flowchart of the business information commending system of the embodiment of the present invention.
Fig. 2 is the flow chart of the business information recommendation method of the embodiment of the present invention.
Detailed description of the invention
Mode by the examples below further illustrates the present invention, but does not therefore limit the present invention among described scope of embodiments.
The present embodiment provides the business information commending system 10 of a kind of behavioral data based on multi-service channel, suitable in the situation that same trade company commences business at multiple business channels, as shown in Figure 1, business information commending system 10 includes acquisition module 11, relating module 12, acquisition module 13, parsing module 14, summarizing module 15, recommending module 16 and display module 17, wherein, it is recommended that module 16 includes analyzing subelement 161 and recommending subelement 162.
Introduce the function of modules in the business information commending system of the present embodiment in detail below:
Acquisition module is for obtaining user's account information of channel registration under channel and line on multiple lines, wherein, on line, channel is website on line, and under line, channel is solid shop/brick and mortar store, and the account information of acquisition includes the sex of user, age, phone number, email address, city, place, occupation and birthday；
Relating module is for pre-conditioned being associated the account information that same user registers at each business channel according to one；
Same trade company is performed the behavioral data that operation generates for gathering user by the open interface of channel on line and the cash register terminal of channel under line by acquisition module under each business channel；
Parsing module for parsing user's account information at each business channel from the behavioral data gathered；
Summarizing module is for collecting the behavioral data of same user, to generate the behavior characteristics of user；
Recommending module carries out business information recommendation for the behavior characteristics according to user；Specifically, it is recommended that the subelement of analyzing in module is used for the behavior characteristics of user is analyzed, different classes of user to be divided into；Subelement of recommending in recommending module is used for different classes of user is carried out business information recommendation；
Display module is used for showing analysis result.
This analysis subelement can be also used for being analyzed according to the type of service of this trade company comprised in behavior characteristics, user specifically can be divided into the user paying close attention to different service types, for instance the user etc. of the user paying close attention to food, the user paying close attention to clothing and concern electrical equipment.Wherein, the type of service of this trade company includes food, clothing, electrical equipment, home textile, books, digital product, cosmetics, footwear, case and bag.
Further, the behavioral data that this analysis subelement can be also used for according to comprising in behavior characteristics is analyzed, specifically can analyze user to the operation performed by trade company, user can be divided into the user that trade company performed a certain operation, for instance got the user of reward voucher, and bought the amount of money user more than 1000 yuan and bought single user etc..
Further, the account information that this analysis subelement can be also used for according to comprising in behavior characteristics is analyzed, and user specifically can be divided into the user etc. in female user, the age level user at 20 years old-25 years old and Shanghai.
In the present embodiment, the operation that same trade company performs includes the browsing of website on line by user, get reward voucher, add shopping cart, place an order and the shop of strolling of solid shop/brick and mortar store under line, get reward voucher, try out, check.
The present embodiment also provides for the business information of a kind of behavioral data based on multi-service channel and recommends method, the business information commending system utilizing the above-mentioned behavioral data based on multi-service channel realizes, this business information recommends method as in figure 2 it is shown, comprise the following steps:
The account information that step 101, acquisition user register at multiple business channels；
Step 102, according to pre-conditioned, the account information that same user registers at each business channel is associated；
Same trade company is performed the behavioral data that operation generates by step 103, collection user under each business channel；
Step 104, from gather behavioral data parse user's account information at each business channel；
Step 105, the behavioral data of same user is collected, to generate the behavior characteristics of user；
Step 106, behavior characteristics to user are analyzed, different classes of user to be divided into, and show and analyze result；
Step 107, different classes of user is carried out business information recommendation.
Give a concrete illustration below and illustrate how to utilize the business information of the present embodiment to recommend method that user is carried out business information recommendation.
If trade company X has carried out the business of clothing, cosmetics, footwear and four kinds of types of case and bag altogether at 5 business channels, wherein, having 4 business channels is channel on line, respectively business channel L1, business channel L2, business channel L3, business channel L4；Business channel L5 is channel under line.
First, obtaining the account information that user registers at 5 business channels, wherein, the account information got is 100；nullThe account information that each business channel includes identical phone number is associated as the account information of same user，And gather user under each business channel to the behavioral data accessed on trade company X execution line and operation of checking under line generates，Then from the behavioral data gathered, parse the account information of user，And the behavioral data of same user is collected，To generate the behavior characteristics comprising user preferences，And the behavior characteristics of user is analyzed，User to be divided into the user of hobby clothing、The user of hobby cosmetics、The user of hobby footwear and the user of hobby case and bag，The form analyzing result chart is displayed simultaneously，Finally，The user of hobby clothing is recommended the sales promotion information about clothing，The user of hobby cosmetics is recommended the sales promotion information about cosmetics，The user of hobby footwear is recommended the sales promotion information about footwear，The user of hobby case and bag is recommended the sales promotion information about case and bag.
In the present embodiment, the mode that user carries out business information recommendation can be provide reward voucher and the mobile phone transmission promotional messages etc. to user to user.
In the present embodiment, under multiple business channels, same trade company is performed the behavioral data that operation generates by gathering user, and the behavioral data of same user is collected, thus generating the behavior characteristics of user, and carry out business information recommendation accordingly, the different business channel making same trade company is capable of docking, also makes trade company can recommend business information exactly, targetedly to targeted customer simultaneously, all brings facility for trade company and user.
Although the foregoing describing the specific embodiment of the present invention, it will be appreciated by those of skill in the art that these are merely illustrative of, protection scope of the present invention is defined by the appended claims.Those skilled in the art is under the premise without departing substantially from principles of the invention and essence, it is possible to these embodiments are made various changes or modifications, but these change and amendment each falls within protection scope of the present invention.
Claims (11)
1. the business information commending system based on the behavioral data of multi-service channel, it is characterised in that including:
One acquisition module, for obtaining the account information that user registers at multiple business channels；
One relating module, for pre-conditioned being associated the account information that same user registers at each business channel according to one；
One acquisition module, performs, to same trade company, the behavioral data that operation generates for gathering user under each business channel；
One parsing module, for parsing user's account information at each business channel from the behavioral data gathered；
One summarizing module, for collecting the behavioral data of same user, to generate the behavior characteristics of user；
And a recommending module, carry out business information recommendation for the behavior characteristics according to user.
2. business information commending system as claimed in claim 1, it is characterised in that this recommending module includes:
One analyzes subelement, for the behavior characteristics of user is analyzed, different classes of user to be divided into；
And one recommend subelement, for different classes of user is carried out business information recommendation.
3. business information commending system as claimed in claim 2, it is characterised in that this analysis subelement is additionally operable to:
It is analyzed according to the type of service of this trade company comprised in behavior characteristics；And/or,
It is analyzed according to the behavioral data comprised in behavior characteristics；And/or,
It is analyzed according to the account information comprised in behavior characteristics.
4. business information commending system as claimed in claim 2, it is characterised in that this business information commending system also includes a display module, is used for showing analysis result.
5. business information commending system as claimed in claim 3, it is characterised in that the type of service of this trade company include following at least one: food, clothing, electrical equipment, home textile, books, digital product, cosmetics, footwear, case and bag.
6. business information commending system as claimed in claim 1, it is characterized in that, user the operation that same trade company performs is included following at least one: the browsing of website on line, get reward voucher, add shopping cart, place an order and the shop of strolling of solid shop/brick and mortar store under line, get reward voucher, try out, check.
7. the business information commending system as according to any one of claim 1-6, it is characterised in that the account information of user include following at least one: sex, age, phone number, email address, city, place, occupation, birthday.
8. the business information based on the behavioral data of multi-service channel recommends method, it is characterized in that, this business information recommends method to utilize the business information commending system of the behavioral data based on multi-service channel according to any one of claim 1-7 to realize, and this business information recommends method to comprise the following steps:
S1, obtain the account information registered at multiple business channels of user；
S2, pre-conditioned the account information that same user registers at each business channel is associated according to one；
S3, gather user under each business channel, same trade company performed the behavioral data that generates of operation；
S4, from gather behavioral data parse user's account information at each business channel；
S5, the behavioral data of same user is collected, to generate the behavior characteristics of user；
S6, carry out business information recommendation according to the behavior characteristics of user.
9. business information as claimed in claim 8 recommends method, it is characterised in that step S6Comprise the following steps:
S61, the behavior characteristics of user is analyzed, different classes of so that user is divided into；
S62, different classes of user is carried out business information recommendation.
10. business information as claimed in claim 9 recommends method, it is characterised in that step S61In also include:
It is analyzed according to the type of service of this trade company comprised in behavior characteristics；And/or,
It is analyzed according to the behavioral data comprised in behavior characteristics；And/or,
It is analyzed according to the account information comprised in behavior characteristics.
11. business information as claimed in claim 9 recommends method, it is characterised in that step S61In also include: show analyze result.
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| CN111104574A (en) * | 2018-10-25 | 2020-05-05 | 北京国双科技有限公司 | User behavior data storage and analysis method, device, processor and storage medium |
| CN112669086A (en) * | 2021-01-04 | 2021-04-16 | 深圳市华通易点信息技术有限公司 | Multi-platform commodity attribute matching processing method and system |
| CN113542429A (en) * | 2021-07-29 | 2021-10-22 | 北京百度网讯科技有限公司 | Platform docking processing method, device, equipment and medium |
| CN116702104A (en) * | 2023-08-08 | 2023-09-05 | 阿里健康科技(中国)有限公司 | Method, device, equipment and storage medium for associating account information |
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