CN110163692A - A kind of Method of Commodity Recommendation and its system based on big data - Google Patents
A kind of Method of Commodity Recommendation and its system based on big data Download PDFInfo
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- CN110163692A CN110163692A CN201810088342.1A CN201810088342A CN110163692A CN 110163692 A CN110163692 A CN 110163692A CN 201810088342 A CN201810088342 A CN 201810088342A CN 110163692 A CN110163692 A CN 110163692A
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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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0623—Item investigation
- G06Q30/0625—Directed, with specific intent or strategy
- G06Q30/0629—Directed, with specific intent or strategy for generating comparisons
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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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
Abstract
The invention discloses a kind of Method of Commodity Recommendation and its system based on big data logs in the first account information of current electric business platform including obtaining；The first product information for obtaining user's selection, extracts the keyword for including in the first product information, keyword includes name of product and product purpose；Obtain all second account informations in electric business platform with the first account information with friend relation；The shopping record of the second account information is extracted, shopping record includes several second product informations, and the second product information includes name of product, product purpose, product price and product evaluation；Judge in the second product information with the presence or absence of keyword；If so, extracting the second product information including keyword；Judge whether the product in the second product information and the product in the first product information are consistent；If so, extracting the product price and product evaluation in the second product information；The product price extracted and product evaluation are exported to the first account information.
Description
Technical field
The present invention relates to big data electric business field, in particular to a kind of Method of Commodity Recommendation based on big data and its it is
System.
Background technique
The arriving of big data, data, which are gradually fully realized for various reasons, to be of great use, and mass data is sorted out useful by extraction and analysis
Data judge target by analyzing useful data.
Online shopping is the topic that present people discuss, universal with internet with the development of economy, various e-commerce are flat
Platform emerges, but online shopping, there is also more and more problems, most of seller buys waterborne troops, issue a large amount of empty to improve sales volume
False product evaluation blinds buyer, and buyer can not often determine the authenticity of evaluation, and the product sold on electric business platform exists
The like products that the different periods may mark shop different on different name of product or electric business platform to sell also has
Different names of product may be marked, the search result of error meeting image user present on name of product.
Meanwhile the function of search of electric business website at present is excessively complicated, the junk information of recommendation is excessive, when buyer chooses certain
When product, electric business platform can recommend the product of a large amount of same types of buyer, and these products are often some products of inferior quality, influence
The shopping experience of buyer.
Summary of the invention
Goal of the invention: in order to overcome the disadvantage in background technique, the embodiment of the invention provides a kind of based on big data
Method of Commodity Recommendation and its system, the problem of can effectively solve the problem that involved in above-mentioned background technique.
A kind of technical solution: Method of Commodity Recommendation based on big data, comprising the following steps:
101: obtaining the first account information for logging in current electric business platform；
102: the first product information of user's selection is obtained, the keyword for including in first product information is extracted, it is described
Keyword includes name of product and product purpose；
103: obtaining all second account informations in the electric business platform with first account information with friend relation；
104: extract the shopping record of the second account information, shopping record includes several second product informations, and described the
Two product informations include name of product, product purpose, product price and product evaluation；
105: judging in second product information with the presence or absence of the keyword；
106: if so, extracting the second product information including the keyword；
107: judging whether the product in second product information and the product in first product information are consistent；
108: if so, extracting the product price and product evaluation in second product information；
109: the product price extracted and the product evaluation are exported to first account information.
As a kind of preferred embodiment of the invention, the shopping record of the second account information is extracted further include:
Judge whether the product purpose for including in second product information and the product purpose for including in the keyword are consistent；
If so, extracting and consistent second product information of product purpose in the keyword；
Second product information is exported to first account information.
As a kind of preferred embodiment of the invention, the product price and product extracted in second product information is commented
Valence includes:
Obtain the first positive rating in the electric business platform about first product information；
Second positive rating of second account information about second product information is obtained, second positive rating is average value；
Judge the difference of first positive rating and second positive rating whether in pre-set interval；
If it is not, first product information is then carried out special marking.
As a kind of preferred embodiment of the invention, the product price and product extracted in second product information is commented
Valence further include:
Obtain first account information and second account information；
First account information and second product information are exported to second account information；
Obtain the detailed assessment that second user is filled in；
The detailed assessment is exported to first account information.
As a kind of preferred embodiment of the invention, obtaining in the electric business platform has good friend with first account information
All second account informations of relationship include:
Obtain the social software on user equipment；
Obtain the third account information in the social software with user with friend relation；
Obtain the 4th account information in the electric business platform with the third account information with binding relationship；
Commercial product recommending is carried out using the shopping information of the 4th account information.
A kind of commercial product recommending system based on big data, comprising:
First account information obtains module, is configured as obtaining the first account information for logging in current electric business platform；
Keyword obtains module, is configured as obtaining the keyword for including in the first product information；
Second account information obtains module, and being configured as obtaining in the electric business platform has friend relation with the first account information
The second account information and second account information include shopping record；
First judgment module is configured as judging in second product information with the presence or absence of keyword；
First extraction module is configured as extracting the second product information including keyword；
Second judgment module, be configured as judging product in the product and the first product information in the second product information whether one
It causes；
Second extraction module is configured as extracting product price and product evaluation in the second product information；
First output module is configured as to the first account information output data.
As a kind of preferred embodiment of the invention, second account information obtains module and includes:
Second judgment module, the product for being configured as the product purpose for judging to include in the second product information and including in keyword
Whether purposes is consistent；
Third extraction module is configured as extracting the second product information corresponding with product purpose.
As a kind of preferred embodiment of the invention, second extraction module includes:
Positive rating obtains module, is configured as obtaining in electric business platform about the first positive rating of the first product information and acquisition
Second positive rating of second account information about the second product information；
It includes computing module that positive rating, which obtains module, and the computing module is configured as calculating the second positive rating；
Whether third judgment module is configured as judging the difference of the first positive rating and the second positive rating in pre-set interval；
Mark module is configured as the first product information carrying out special marking.
As a kind of preferred embodiment of the invention, second extraction module further include:
Second output module is configured as exporting the first account information and the second product information to the second account information；
Evaluation obtains module, is configured as obtaining the detailed assessment that second user is filled in.
As a kind of preferred embodiment of the invention, the second account information obtains module and includes:
4th account information obtains module, is configured as obtaining the 4th account for having indirect friend relation with the first account information
Information.
The present invention realize it is following the utility model has the advantages that
It is provided by the invention it is a kind of provide commercial product recommending based on friend relation based on the Method of Commodity Recommendation of big data for user,
The friend relation can for direct friend relation also be can indirect friend relation, the indirect friend relation be user at other
In social platform and good friend that the account information of social account and the electric business platform is bound, it is capable of providing more fully product and comments
Valence；The second product information that preliminary screening comes out has with the first product information completely or partially to be contacted, and can be avoided ProductName
It deserves to be called existing error and causes the fault screened；The present invention also provides the product informations of similar-type products to be compared, preferentially
The product information for exporting like products, when user all negates, then exports the product information of similar-type products；It helps to improve
The service standard of electric business platform and the industry guideline in specification shop improve the frequency that user issues actual products evaluation, system
After getting electronic evaluating list, the second account information can be given according to feedback of the user to detailed assessment and is rewarded accordingly.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the disclosure
Example, and consistent with the instructions for explaining the principles of this disclosure.Fig. 1 is that a kind of commodity based on big data provided by the invention push away
Recommend method flow diagram；
Fig. 2 is the recommended method flow chart provided by the invention based on product purpose；
Fig. 3 is the recommended method flow chart provided by the invention based on indirect friend relation；
Fig. 4 is the recommended method flow chart provided by the invention based on positive rating；
Fig. 5 is the recommended method flow chart of the detailed assessment provided by the invention based on second user；
Fig. 6 is a kind of commercial product recommending system structural block diagram based on big data provided by the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.
Embodiment one
As shown in Figure 1, the present embodiment provides a kind of Method of Commodity Recommendation based on big data, comprising the following steps:
A) the first account information for logging in current electric business platform is obtained；
B) the first product information for obtaining user's selection, extracts the keyword for including in the first product information, keyword includes
Name of product and product purpose；
C) all second account informations in electric business platform with the first account information with friend relation are obtained；
D) the shopping record of the second account information is extracted, shopping record includes several second product informations, the second product information
Including name of product, product purpose, product price and product evaluation；
E) judge in the second product information with the presence or absence of keyword；
F) if so, extracting the second product information including keyword；
G) judge whether the product in the second product information and the product in the first product information are consistent；
H) if so, extracting the product price and product evaluation in the second product information；
I) product price extracted and product evaluation are exported to the first account information.
Specifically, in step s101, it when user is using equipment browse current electric business platform, needs to log in personal account,
The system of electric business platform obtains the first account information of user and saves the first account information to database.In step S102
In, when user finds the product admired, the connection for clicking the product checks that the details of the product, this system obtain use automatically
The product of family click simultaneously will be set to the first product information, extract the first production according to the details of the first product information
Name of product and product purpose in product information are simultaneously temporarily stored as keyword, and keyword may also include face
The information such as color, shape, size, keyword can be customized by users.In step s 103, there is institute in the database of electric business platform
There is the account information of user, friend relation can be established between each user, friend relation is also included in the database.Present invention work
When, system extracts the second account information that friend relation has been established with the first account information.In step S104, in database
The shopping record of all account informations is preserved, shopping record includes product information, and product information includes name of product, product use
On the way, product price and product evaluation, system extracts the shopping record of the second account, and the product that shopping record includes is believed
Breath is set as the second product information.In step s105, mainly judge that name of product and product in the second product information are used
Whether way is including the keyword in the first product information.In step s 106, system carries out preliminary screening, extracts including above-mentioned
All second product informations of keyword, the second product information and the first product information that preliminary screening comes out have whole or portion
Divide connection, because section may mark different name of product or electric business to the product sold on electric business platform in different times
The like products that different shops is sold on platform is also possible to mark different names of product, in order to avoid depositing on name of product
Error and cause screening fault, big data analysis is carried out in preliminary screening.In step s 107, it is based on preliminary screening
The second product information out, then carry out deep layer screening.According to product picture and whether come from same shop judge second production
Whether the product in product and the first product information in product information is identical product.In step S108, in order to give user
Most intuitive comparative information is provided, this system default only provides most influential product price and product evaluation, that is, mentions
The product price and product evaluation of the second product information that deep layer screens are taken out, user may also set up the interior of system offer
Hold, content must be contained in the second merchandise news.In step S109, the product price extracted and product evaluation are summarized
It exports to the first account information, user can be compared after receiving with the first product information.
Embodiment two
As shown in Fig. 2, extracting the shopping record of the second account information further include:
Judge whether the product purpose for including in the second product information and the product purpose for including in keyword are consistent；
If so, extracting and consistent second product information of product purpose in keyword；
Second product information is exported to the first account information.
Obtaining all second account informations in electric business platform with the first account information with friend relation includes:
Obtain the social software on user equipment；
Obtain the third account information in social software with user with friend relation；
Obtain the 4th account information in electric business platform with third account information with binding relationship；
Commercial product recommending is carried out using the shopping information of the 4th account information.
Specifically, other than the product information for providing like products is compared, the present invention also provides similar-type products
Product information is compared, and same type indicates that the purposes of product is identical.After the shopping record for extracting the second account information, into one
Step extracts the product purpose of the second product information, and judge the product use in the product purpose and keyword of the second product information
Whether way is identical, if so, extract second product information and export the second product information to the first account information,
In, the preferential product information for exporting like products when user all negates, then exports the product information of similar-type products.
The present invention by friend relation include direct friend relation and indirect friend relation, direct friend relation is to use
Good friend of the family in electric business platform, indirect friend relation are user in other social platforms and social account and electric business platform
The good friend of account information binding.As shown in figure 3, firstly, system acquisition user logins in equipment used in the electric business platform
Social software, social software include Tencent QQ, wechat, microblogging, Netease's mailbox etc., and the account information of electric business platform can be with social activity
The account information of software is bound, and binding relationship is stored in the database of electric business platform, and system is sent out to the first account information
Request connection signal is sent, system sends different request connection signals for different social softwares, and user is optionally led to
Cross request connection signal, after user passes through, system judge user's social software account information whether with electric business platform
The binding of one account information judges third if so, obtaining the third account information in social software with user with friend relation
Whether account information is bound with electric business platform, if so, extracting in electric business platform has binding relationship with third account information
The 4th account information, carry out step S104 to step S109.
Embodiment three
As shown in figure 4, the product price and product evaluation that extract in the second product information include:
Obtain the first positive rating in electric business platform about the first product information；
Second positive rating of second account information about the second product information is obtained, the second positive rating is average value；
Judge the difference of the first positive rating and the second positive rating whether in pre-set interval；
If it is not, the first product information is then carried out special marking.
Extract the product price and product evaluation in the second product information further include:
Obtain the first account information and the second account information；
First account information and the second product information are exported to the second account information；
Obtain the detailed assessment that second user is filled in；
Detailed assessment is exported to the first account information.
Specifically, it when user's online shopping, can be blinded by the deceptive information without good shop, in order to improve the true of product evaluation
Property, this system will also extract the positive rating for the second account information for having friend relation with the first account information.Firstly, in system
One pre-set interval is set, pre-set interval is used to judge the difference of positive rating, for example, setting pre-set interval is [30%, 50%],
It is secondary, all users are obtained to the positive rating of the first product information and as the first positive rating, then, obtain the second account letter
It ceases to the positive rating of the second product information, then calculates the average value of positive rating and as the second positive rating, subsequently calculate
The difference of first positive rating and the second positive rating, and difference is judged whether in pre-set interval, if it is not, then showing the first positive rating
It is excessive with the second favorable comment rate score gap, a possibility that there are false evaluations valence it is high, it is special that system carries out the first product information
Label.
It may also set up several different sections, difference is in the settable different label in different sections.
Most of user does not fill in the habit of evaluation after shopping, and the present invention is in order to improve the service standard of electric business platform
And the industry guideline in specification shop, following measures are taken, as shown in figure 5, obtaining the first account information and the first account
Information has the second account information of friend relation, and system draws electronic evaluating single-shot and gives the second account information, electronic evaluating
Single includes that the first account information and the first merchandise news or the second merchandise news, the second user for receiving electronic evaluating list are filled in
After, system obtains electronic evaluating list, and electronic evaluating list includes the detailed assessment that second user is filled in, and system is by detailed assessment
It exports to the first account information.System can give after getting electronic evaluating list according to feedback of the user to detailed assessment
Two account informations are rewarded accordingly.
Example IV
As shown in fig. 6, a kind of commercial product recommending system based on big data, comprising:
First account information obtains module 401, is configured as obtaining the first account information for logging in current electric business platform；
Keyword obtains module 402, is configured as obtaining the keyword for including in the first product information；
Second account information obtains module 403, and being configured as obtaining in electric business platform has friend relation with the first account information
The second account information and the second account information include shopping record；
First judgment module 404 is configured as judging in the second product information with the presence or absence of keyword；
First extraction module 405 is configured as extracting the second product information including keyword；
Second judgment module 406 is configured as judging that the product and the product in the first product information in the second product information are
It is no consistent；
Second extraction module 407 is configured as extracting product price and product evaluation in the second product information；
First output module 408 is configured as to the first account information output data；
Second judgment module 409 is configured as the product purpose for judging to include in the second product information and includes in keyword
Whether product purpose is consistent；
Third extraction module 410 is configured as extracting the second product information corresponding with product purpose；
Positive rating obtain module 411, be configured as obtain electric business platform in about the first product information the first positive rating and
Obtain second positive rating of second account information about the second product information；
It includes computing module 412 that positive rating, which obtains module 411, and computing module 412 is configured as calculating the second positive rating；
Whether third judgment module 413 is configured as judging the difference of the first positive rating and the second positive rating in pre-set interval；
Mark module 414 is configured as the first product information carrying out special marking；
Second output module 415 is configured as exporting the first account information and the second product information to the second account information；
Evaluation obtains module 416, is configured as obtaining the detailed assessment that second user is filled in；
4th account information obtains module 417, is configured as obtaining have indirect friend relation with the first account information the 4th
Account information.
It should be understood that the specific implementation process of above-mentioned modules (can be implemented with above method embodiment in example IV
Example one is to embodiment three) description it is corresponding, be not described in detail herein.
System provided by above-described embodiment four is only the example of the division of the above functional modules actually answered
In, it can according to need and be completed by different functional modules above-mentioned function distribution, i.e., divide the internal structure of system
At different functional modules, to complete all or part of the functions described above.
The above embodiments merely illustrate the technical concept and features of the present invention, and the purpose is to allow the skill for being familiar with the technical field
Art personnel can understand the content of the present invention and implement it accordingly, and can not be limited the scope of the invention with this.All bases
Equivalent changes or modifications made by spirit of the invention, should be covered by the protection scope of the present invention.
Claims (10)
1. a kind of Method of Commodity Recommendation based on big data, it is characterised in that: the following steps are included:
101: obtaining the first account information for logging in current electric business platform；
102: the first product information of user's selection is obtained, the keyword for including in first product information is extracted, it is described
Keyword includes name of product and product purpose；
103: obtaining all second account informations in the electric business platform with first account information with friend relation；
104: extract the shopping record of the second account information, shopping record includes several second product informations, and described the
Two product informations include name of product, product purpose, product price and product evaluation；
105: judging in second product information with the presence or absence of the keyword；
106: if so, extracting the second product information including the keyword；
107: judging whether the product in second product information and the product in first product information are consistent；
108: if so, extracting the product price and product evaluation in second product information；
109: the product price extracted and the product evaluation are exported to first account information.
2. a kind of Method of Commodity Recommendation based on big data according to claim 1, it is characterised in that: extract the second account
The shopping of family information records further include:
Judge whether the product purpose for including in second product information and the product purpose for including in the keyword are consistent；
If so, extracting and consistent second product information of product purpose in the keyword；
Second product information is exported to first account information.
3. a kind of Method of Commodity Recommendation based on big data according to claim 1, it is characterised in that: extract described
Product price and product evaluation in two product informations include:
Obtain the first positive rating in the electric business platform about first product information；
Second positive rating of second account information about second product information is obtained, second positive rating is average value；
Judge the difference of first positive rating and second positive rating whether in pre-set interval；
If it is not, first product information is then carried out special marking.
4. a kind of Method of Commodity Recommendation based on big data according to claim 3, it is characterised in that: extract described
Product price and product evaluation in two product informations further include:
Obtain first account information and second account information；
First account information and second product information are exported to second account information；
Obtain the detailed assessment that second user is filled in；
The detailed assessment is exported to first account information.
5. a kind of Method of Commodity Recommendation based on big data according to claim 1, it is characterised in that: obtain the electric business
In platform with first account information have friend relation all second account informations include:
Obtain the social software on user equipment；
Obtain the third account information in the social software with user with friend relation；
Obtain the 4th account information in the electric business platform with the third account information with binding relationship；
Commercial product recommending is carried out using the shopping information of the 4th account information.
6. a kind of commercial product recommending system based on big data, it is characterised in that: include:
First account information obtains module, is configured as obtaining the first account information for logging in current electric business platform；
Keyword obtains module, is configured as obtaining the keyword for including in the first product information；
Second account information obtains module, and being configured as obtaining in the electric business platform has friend relation with the first account information
The second account information and second account information include shopping record；
First judgment module is configured as judging in second product information with the presence or absence of keyword；
First extraction module is configured as extracting the second product information including keyword；
Second judgment module, be configured as judging product in the product and the first product information in the second product information whether one
It causes；
Second extraction module is configured as extracting product price and product evaluation in the second product information；
First output module is configured as to the first account information output data.
7. a kind of commercial product recommending system based on big data according to claim 6, it is characterised in that: second account
Data obtaining module includes:
Second judgment module, the product for being configured as the product purpose for judging to include in the second product information and including in keyword
Whether purposes is consistent；
Third extraction module is configured as extracting the second product information corresponding with product purpose.
8. a kind of commercial product recommending system based on big data according to claim 6, it is characterised in that: described second extracts
Module includes:
Positive rating obtains module, is configured as obtaining in electric business platform about the first positive rating of the first product information and acquisition
Second positive rating of second account information about the second product information；
It includes computing module that positive rating, which obtains module, and the computing module is configured as calculating the second positive rating；
Whether third judgment module is configured as judging the difference of the first positive rating and the second positive rating in pre-set interval；
Mark module is configured as the first product information carrying out special marking.
9. a kind of commercial product recommending system based on big data according to claim 8, it is characterised in that: described second extracts
Module further include:
Second output module is configured as exporting the first account information and the second product information to the second account information；
Evaluation obtains module, is configured as obtaining the detailed assessment that second user is filled in.
10. a kind of commercial product recommending system based on big data according to claim 6, it is characterised in that: the second account letter
Breath obtains module
4th account information obtains module, is configured as obtaining the 4th account for having indirect friend relation with the first account information
Information.
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