CN110347924A - Fruits and vegetables market management system and fruit-vegetable information method for pushing - Google Patents
Fruits and vegetables market management system and fruit-vegetable information method for pushing Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of fruits and vegetables market management system and fruit-vegetable information method for pushing.System includes generating the information recommendation module that submodule, recommendation information output sub-module and recommendation information determine submodule containing information collection submodule, feature vector.Information collection submodule obtains the buying behavior data and attribute data of user from system database；Feature vector generates submodule and converts behavioural characteristic vector for buying behavior data, constitutes user characteristics vector with attribute data；User characteristics vector is input to commercial product recommending model and obtains initial recommendation merchandise news by recommendation information output sub-module；Commercial product recommending model includes multiple mapping tables for storing user characteristics vector sum fruits and vegetables commodity corresponding relationship；Recommendation information determines that submodule according to commodity ineligible in commodity screening conditions and/or filter algorithm removal initial recommendation information, generates commercial product recommending information.The application saves consumer and browses fruits and vegetables store page time, improves store trading efficiency.
Description
Technical field
The present embodiments relate to electric business technical fields, more particularly to a kind of fruits and vegetables market management system and fruit-vegetable information
Method for pushing.
Background technique
With the fast development of computer technology, network universalness degree is higher and higher, and internet has become daily life
Indispensable necessity in work.All there is new look in all trades and professions under the overall situation of " internet+", start to change business
Development model, to adapt to continually changing Times ' Demand, in the change for carrying out respective industry.
Traditional fruits and vegetables retail trade cannot be complied with the epoch completely, and novel fruits and vegetables retail trade mode has been met the tendency of
And it gives birth to.Novel fruits and vegetables retail environments can solve on traditional line under retail and line retail there are the drawbacks of, such as user is online
Shopping experience is bad when upper retail, cannot really experience service etc. under commodity and line, causes the reduction of customer's desire to buy；And under line
The problem of retail, is operating cost is high, profit is low, also suffers from the limitation for managing place etc..It is sold all under retail and line on line
Where the shortcomings that having oneself, both only keeps its essence and discards its dross and is only the guiding of the following retail business.
Existing fruits and vegetables market management system is B2C (Business To Customer, Business to Consumer) and O2O
The combination of (Online To Offline, under line on line) mode, i.e. Business to Consumer and the on-line off-line retail mould combined
Formula.Under novel retail mode, fruits and vegetables market management system is combined using Internet technology with e-commerce, entity shops
Form, realize that merchandise news, the data such as Transaction Information carry out big data analysis and intercommunication.
But existing fruits and vegetables market management system has been difficult meet the needs of Customer Experience, user needs to expend big
The time and efforts of amount browses fruits and vegetables store.
Summary of the invention
The embodiment of the invention provides a kind of fruits and vegetables market management system and fruit-vegetable information method for pushing, are conducive to saving and disappear
The person of expense browses the time of the fruits and vegetables store page, improves store trading efficiency.
In order to solve the above technical problems, the embodiment of the present invention the following technical schemes are provided:
On the one hand the embodiment of the present invention provides a kind of fruits and vegetables market management system, including for the user with permission
Push the information recommendation module of fruits and vegetables commodity；The information recommendation module includes:
Information collection submodule, for obtaining the buying behavior data and attribute data of user from system database；It is described
Attribute data is obtained from individual member's management module；
Feature vector generates submodule, for converting behavioural characteristic vector for the buying behavior data, and with it is described
Attribute data constitutes user characteristics vector；
Recommendation information output sub-module, for the user characteristics vector to be input to building commercial product recommending model in advance
In, obtain initial recommendation merchandise news；It include multiple mapping tables in the commercial product recommending model, each mapping table is for storing user
The corresponding relationship of feature vector and fruits and vegetables commodity；
Recommendation information determines submodule, will be described first for being based on default commodity screening conditions and/or commodity filter algorithm
Ineligible commodity removal in beginning recommendation information, generates commercial product recommending information.
It optionally, further include evaluation management module, the evaluation management module includes the evaluation score and text of each commodity
Evaluation information；The recommendation information determines that submodule includes:
Commodity scoring acquiring unit, for each in the initial recommendation merchandise news from being obtained in the evaluation management module
The score value of commodity；
Commodity screening unit, for removing quotient of the score value not higher than default scoring threshold value from the initial recommendation information
Product generate candidate commodity recommendation information；
Commercial product recommending unit, it is raw for being ranked up from high to low to the candidate commodity recommendation information according to score value
At final goods recommendation information.
Optionally, the recommendation information determines that submodule includes:
Information selecting section, the merchandise news of user's purchase for will be obtained from order management module and from shopping
The user obtained in vehicle management module selected merchandise news, delete merchandise news as candidate；
Commodity selection unit, for being determined and the time from the initial recommendation merchandise news based on collaborative filtering
Identical end article in merchandise news is deleted in choosing；
Commercial product recommending unit, for deleting each end article from the initial recommendation merchandise news, and will be after deletion
Initial recommendation merchandise news is as final goods recommendation information.
It optionally, further include Marketing Manager Module, the Marketing Manager Module includes the favor information of each commodity；It is described to push away
It recommends information and determines that submodule includes:
It is preferred that commodity, which obtain module, generates preferred quotient for obtaining preferential merchandise news from the Marketing Manager Module
Product information；
Commodity selection unit, for based on collaborative filtering from the initial recommendation merchandise news determination with it is described excellent
Identical end article in merchandise news is selected, and the end article by score value lower than default scoring threshold value removes, and generates target
Commodity collection；
Commercial product recommending unit, for the selection from the initial recommendation merchandise news and each commodity of end article concentration
Identical commodity generate final goods recommendation information.
It optionally, further include that feature deletes submodule, the feature is deleted submodule and is used for the user characteristics vector
Be input in support vector machines, to remove the noise information in the user characteristics vector, and by the user characteristics after denoising to
Amount is sent in the recommendation information output sub-module.
Optionally, including system login module；
The system login module is used to show the corresponding system page according to the logon rights verification information of input；It is described
System page face includes merchant page and consumer's page；
The merchant page includes businessman's member management module, item management module, businessman's order management module, Shang Jiapei
Send processing module, businessman's cash register management module and transaction data analysis module after sale；
The consumer page face includes individual member's management module, shopping cart management module, personal order management module, a
People's dispatching processing module, personal cash register management module, the information recommendation module, evaluation management module and marketing management mould after sale
Block.
Optionally, the merchant page may also include consumer's management module, and consumer's management module includes consumption
Person complains submodule and limitation purchase submodule；
The consumer complains consumer information of the submodule for submitting the system that do not meet to provide consumer behavior；The limit
System purchase submodule is used for the consumer information that store transaction behavior is limited.
Optionally, the evaluation management module includes commodity evaluation submodule, businessman evaluates submodule and logistics evaluation is sub
Module.
Optionally, the transaction data analysis module includes sales data record sub module, procurement of commodities submodule, consumption
Person integrates record sub module and transaction data predicts submodule；
The transaction data prediction submodule is used to be integrated according to the sales data record sub module and the consumer
Record sub module predicts the commodity transaction data in preset time period.
On the other hand the embodiment of the present invention provides a kind of fruit-vegetable information method for pushing, comprising:
Obtain the buying behavior data and attribute data of current system authorization login user；
Convert behavioural characteristic vector for the buying behavior data, and with the attribute data constitute user characteristics to
Amount；
The user characteristics vector is input in building commercial product recommending model in advance, initial recommendation merchandise news is obtained；
It include multiple mapping tables in the commercial product recommending model, each mapping table is used to store the correspondence of user characteristics vector sum fruits and vegetables commodity
Relationship；
Quotient ineligible in the initial recommendation information is removed according to default commodity screening conditions and/or filter algorithm
Product generate commercial product recommending information.
The advantages of technical solution provided by the present application is, according to the buying behavior data and user attribute data of user,
And pre-set commodity screening conditions are combined, commercial product recommending is carried out to consumer using big data analysis.User is logging in fruit
Selection purchase can be carried out according to Recommendations information behind vegetable store, need not go through all commodity in store, cost saved and disappear
The person's of expense goods browse time is conducive to promote user's buying experience, can also effectively improve store trading efficiency.
In addition, the embodiment of the present invention provides corresponding fruits and vegetables commodity method for pushing also directed to fruits and vegetables market management system,
Further such that the system has more feasibility, the fruits and vegetables commodity method for pushing has the advantages that corresponding.
It should be understood that the above general description and the following detailed description are merely exemplary, this can not be limited
It is open.
Detailed description of the invention
It, below will be to embodiment or correlation for the clearer technical solution for illustrating the embodiment of the present invention or the relevant technologies
Attached drawing needed in technical description is briefly described, it should be apparent that, the accompanying drawings in the following description is only this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of specific embodiment structure chart of fruits and vegetables market management system provided in an embodiment of the present invention；
Fig. 2 is a kind of flow diagram of fruits and vegetables store management method provided in an embodiment of the present invention；
Fig. 3 is the flow diagram of another fruits and vegetables store provided in an embodiment of the present invention management method.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, with reference to the accompanying drawings and detailed description
The present invention is described in further detail.Obviously, described embodiments are only a part of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Under every other embodiment obtained, shall fall within the protection scope of the present invention.
Term " includes " in the description and claims of this application and above-mentioned attached drawing and " having " and they appoint
What is deformed, it is intended that is covered and non-exclusive is included.Such as contain the process, method, system, production of a series of steps or units
Product or equipment are not limited to listed step or unit, but may include the step of not listing or unit.
After describing the technical solution of the embodiment of the present invention, the various non-limiting realities of detailed description below the application
Apply mode.
Referring first to Fig. 1, Fig. 1 is fruits and vegetables market management system provided in an embodiment of the present invention in a kind of specific embodiment
Under structural framing schematic diagram, the embodiment of the present invention may include the following contents:
Fruits and vegetables market management system includes information recommendation module 1, and information recommendation module 1 can be used for the user with permission
Fruits and vegetables commodity are pushed, the user with permission is the user with login fruits and vegetables market management system, and user passes through system login
After module logs in fruits and vegetables market management system, information recommendation module 1 obtains the information of the user of current login system, and according to
Family type, such as consumer or businessman or system maintenance person carry out information recommendation.The application, which is directed to, provides fruit for consumer
Vegetable commercial product recommending, certainly, businessman or system maintenance person can also carry out commodity purchasing by system, send out in businessman or system maintenance person
After raw buying behavior, system also can automatic businessman or system maintenance person's recommendation fruits and vegetables commodity.Information recommendation module 1 may include information
Acquisition submodule 11, feature vector generate submodule 12, recommendation information output sub-module 13 and recommendation information and determine submodule 14.
Wherein, information collection submodule 11 can be used for obtaining the buying behavior data and attribute number of user from system database
According to.Buying behavior data may include goods browse record data, comment on commodity data and the purchase of the user of current login system
Commodity data record, certainly, it is relevant to buying behavior that those skilled in the art can also choose other according to practical application scene
Data, this does not influence the realization of the application.Attribute data is some attribute datas of identity user own identification, such as year
Age, gender, registion time, occupation, address etc..If login user is consumer, this can be obtained from individual member's management module
A little attribute datas can obtain if login user is businessman from businessman's member management module.
In the present embodiment, feature vector generate submodule 12 can be used for converting buying behavior data to behavioural characteristic to
Amount, and user characteristics vector is constituted with attribute data.The buying behavior data of user can for example pass through behavior extraction, behavioural characteristic
Transformational analysis is that different behaviors then can be by behavioural characteristic vector sum attribute number to generate the behavioural characteristic vector of active user
According to the user characteristics vector constituted for inputting commercial product recommending model.
In the application, recommendation information output sub-module 13, which can be used for for user characteristics vector being input to building commodity in advance, to be pushed away
It recommends in model, obtains initial recommendation merchandise news.It may include multiple mapping tables in commercial product recommending model, each mapping table is for storing
The corresponding relationship of user characteristics vector sum fruits and vegetables commodity；By user characteristics vector by carrying out contrast learning with each mapping table, obtain
To the corresponding multiple commodity of user characteristics vector, multiple commodity composition initial recommendation merchandise newss.
It is understood that initial recommendation merchandise news includes multiple merchandise newss, rather than all Recommendations pair
With being useful per family, such as disreputable commodity, user also need further to be screened after obtaining Recommendations, no
Conducive to promotion user experience.In consideration of it, the application also determines that submodule 14 is based on default commodity sieve using recommendation information
It selects condition and/or commodity filter algorithm to remove commodity ineligible in initial recommendation information, generates commercial product recommending information.
Default commodity screening conditions can be fixed condition, such as the removal history scoring lower commodity of score, can also be belonged to according to user
Property automatically select the commodity screening conditions for meeting active user from commodity screening conditions database and generate final commodity sieve
Select condition, such as price range, filtering brand, such as the unit price of commodity that user buys in a period of time is not above 50 yuan
, then the commodity that cargo price in initial recommendation information is more than 50 yuan are removed；Such as user is to the quotient of some brand or businessman
Product carry out difference and comment, then the brand or the commodity of the businessman are removed from initial recommendation information.Commodity filter algorithm is for realizing quotient
The method of product filtering, may be, for example, the collaborative filtering based on commodity, the article phase recommended and liked before them for user
As article, mainly by analysis user behavior record calculate article between similarity, utilize cosine similarity formula
Calculate similarity measurement.Such as fall the commodity that user had generated buying behavior using commodity filter algorithm filters, because
The purpose of recommendation is to aid in user and finds commodity, can guarantee the novelty of Recommendations in this way；User oneself choosing can be filtered out
The commodity selected, such as user have selected some brand or some price range, only want to see some brand some
The commodity of price range；In order to improve the experience sense of user, the relatively low commodity that score can be filtered out, filtering foundation can be from evaluation
It is obtained in management module.
In technical solution provided in an embodiment of the present invention, according to the buying behavior data and user attribute data of user,
And pre-set commodity screening conditions are combined, commercial product recommending is carried out to consumer using big data analysis.User is logging in fruit
Selection purchase can be carried out according to Recommendations information behind vegetable store, need not go through all commodity in store, cost saved and disappear
The person's of expense goods browse time is conducive to promote user's buying experience, can also effectively improve store trading efficiency.
It is understood that the characteristic vector data in input commercial product recommending model is fewer, and useful data accounting is bigger,
It is more faster more quasi- that model exports result.Based on this, information recommendation module 1 may also include feature and delete submodule, and feature deletes submodule
Block is for user characteristics vector to be input in support vector machines, to remove the nothing such as noise information in user characteristics vector
Feature is closed, and the user characteristics vector after denoising is sent in recommendation information output sub-module.
In one embodiment, fruits and vegetables market management system includes evaluation management module, includes in evaluation management module
The evaluation score and word evaluation information of each commodity.Recommendation information determines that submodule 14 may also include that
Commodity score acquiring unit, for commenting from obtaining each commodity in initial recommendation merchandise news in evaluation management module
Score value.
Commodity screening unit, for removing commodity of the score value not higher than default scoring threshold value from initial recommendation information,
Generate candidate commodity recommendation information.Candidate commodity recommendation information is the initial recommendation information after the ineligible commodity of removal.
Scoring threshold value can be determined according to practical application scene, and the application does not do any restriction to this.If score value is 5 points of systems, that
Scoring threshold value is to be set as 4.3 points, namely will be less than 4.3 points of Recommendations and delete from initial recommendation information.
Commercial product recommending unit generates most for being ranked up from high to low to candidate commodity recommendation information according to score value
Whole commercial product recommending information.
In another embodiment, recommendation information determines that submodule 14 for example may also include that
Information selecting section, the merchandise news of user's purchase for will be obtained from order management module and from shopping
The user obtained in vehicle management module selected merchandise news, delete merchandise news as candidate.
Commodity selection unit, for deleting quotient with candidate based on collaborative filtering is determining from initial recommendation merchandise news
Identical end article in product information.
Commercial product recommending unit, for deleting each end article from initial recommendation merchandise news, and will be initial after deletion
Recommendations information is as final goods recommendation information.
In addition, Marketing Manager Module may include each commodity if fruits and vegetables market management system may also include Marketing Manager Module
Favor information.Based on this, recommendation information determines that submodule 14 may also include that
It is preferred that commodity obtain module, for obtaining preferential merchandise news from Marketing Manager Module, preferred commodity letter is generated
Breath.
Commodity selection unit, for believing based on collaborative filtering is determining from initial recommendation merchandise news with preferred commodity
Identical end article in breath, and the end article by score value lower than default scoring threshold value removes, and generates end article collection.
Commercial product recommending unit, for the selection quotient identical with end article each commodity of concentration from initial recommendation merchandise news
Product generate final goods recommendation information.
It is understood that fruits and vegetables market management system faces to be two kinds of users of consumer and businessman, it is two kinds of
The difference of the demand of user in systems, in order to promote user experience, fruits and vegetables market management system includes system login mould
Block；System login module can be used for according to the corresponding system page of the logon rights verification information of input displaying, and the system page can
Including merchant page and consumer's page.Authority Verification information may be, for example, username and password, for consumers, input
After username and password, clicks login button and enter system main interface, username and password is that consumer voluntarily registers；
For businessman, after inputting username and password, clicks login button and enter system background management main interface, basis after login
Different permissions shows different functions.Merchant page may include businessman's member management module, item management module, businessman's order
Management module, businessman's dispatching processing module, businessman's cash register management module and transaction data analysis module after sale.Consumer's page can
Including individual member's management module, shopping cart management module, personal order management module, personal dispatching processing module, a after sale
People's cash register management module, information recommendation module, evaluation management module and Marketing Manager Module.Certainly, merchant page and consumer
The page may also include other function module, and the application does not do any restriction to this.
Wherein, businessman's member management module and individual member's management module are used to carry out member to fruits and vegetables market management system
The operation of management.It is particularly used in editorial management membership information, the letter such as name, age, gender, phone, address including member
Breath, there are also the information of member's integral, grade for Marketing Manager Module.
Item management module is used to carry out fruits and vegetables market management system the operation of merchandise control, such as can be used for increasing,
The information for looking into fruits and vegetables commodity, including the displaying of product name, commodity picture, commercial specification model, commodity price (pin is deleted or modified
Price and stock up valence), data informations, the item management module such as commodity stocks the details of commodity, including commodity can also be provided
The characteristics of, the information such as edible general knowledge, fresh-keeping mode, benefit, in order to give one intimate and warm service of consumer.
Businessman's order management module and personal order management module are used to carry out order management to fruits and vegetables market management system
Operation.Be particularly used in the inquiry of order, for consumers, can inquire the order numbers of goods orders, order right-safeguarding,
The data informations such as product name, quantity, price paid, the exchange hour of purchase；For businessman, consumer institute can be checked
It purchases goods orders information and timely batch processing can be carried out, easily carry out order right-safeguarding.
Businessman's dispatching processing module after sale and personal dispatching processing module after sale are used to carry out fruits and vegetables market management system
The operation of commodity distribution management.It is particularly used in the means of distribution and return management in fruits and vegetables store, delivery management interface can be shown
Show the information such as merchandise news, consumer's Shipping Address, name, the phone of purchase, it will real-time update dispatching person information, logistics shape
State and it is expected that commodity arrival time, consumer can also reserve commodity delivery time, more hommization and flexibility.
Businessman's cash register management module and personal cash register management module can be used for carrying out cash register pipe to fruits and vegetables market management system
The operation of reason.The clearing of purchase commodity and the management of the means of payment are particularly used in, system may include system of collecting money under a line
For in entity shops, there is a Third-party payment platform for on-line off-line payment, the interface of third-party platform is written in system
Service can be used, enhance the circulation of fund while also solving the puzzlement of businessman and client by change.
Transaction data analysis module can be used for recording the data such as store sale, procurement of commodities and consumer's integral, and can
By data by way of exporting table, the case where monthly store sale, is analyzed, to be mentioned for the Management Thinking of businessman
It may include transaction data analysis module include sales data record sub module, quotient in a kind of embodiment for effective foundation
Product procurement submodule, consumer integrate record sub module and transaction data predicts submodule；Transaction data prediction submodule is used for
The commodity transaction data in record sub module prediction preset time period are integrated according to sales data record sub module and consumer.
Evaluation management module can be used for carrying out fruits and vegetables market management system the operation of evaluation management, be particularly used in purchase
Consumer experience investigation after commodity, appraisement system include that whether descriptive labelling is consistent, whether merchant service is intimate and logistics clothes
Three aspect of business whether punctual (on line) is evaluated, and consumer can also carry out suggestion and blueprint carries out acquisition integral, and integral is answered
For Marketing Manager Module.Optionally, evaluation management module may include commodity evaluation submodule, businessman's evaluation submodule and logistics
Evaluate submodule.
Marketing Manager Module is used to carry out fruits and vegetables market management system the operation of marketing management.Such as old and new customers
A kind of preferential policy, including commercial activities information, commodity markdown information, shopping send integral, favorable comment to send integral, discount coupon, full
Volume is vertical to be subtracted, the form of accumulated point exchanging.Integral needed for different gifts is corresponding is different, and consumer can be according to oneself accumulated point exchanging
Oneself desired gift, can also be with the corresponding discount coupon of accumulated point exchanging for consuming vertical subtract.
In addition, merchant page may also include consumer's management module, consumer's management module for example may include consumer's throwing
Tell submodule and limitation purchase submodule；Consumer complains consumption of the submodule for submitting the system that do not meet to provide consumer behavior
Person's information；Limitation purchase submodule is used for the consumer information that store transaction behavior is limited.
From the foregoing, it will be observed that the fruits and vegetables market management system of the application with big data technology be guiding, by line, under line closely
It combines.For consumers, fruits and vegetables market management system can more understand that the information for intuitively obtaining fruits and vegetables store is gone forward side by side
Row chooses oneself desired commodity, and the information of commodity more humanized can be shown, can directly pass through in part payment
The interface of Third-party payment carries out payment operation, the not cumbersome quick use for being easy to consumer easy to operate.For businessman,
It can be carried out the input of fruit-vegetable information, and realize effective management as far as possible；The fruit-vegetable information inputted can be added, be deleted
It removes, modify, inquiry operation；The case where exporting corresponding table using sales data, sell to store is analyzed, to be businessman
Management Thinking provide effective foundation；Commercial product recommending model can be trained using big data technology, so as to according to
The Characteristic of Interest at family and buying behavior, to the interested information of user recommended user and commodity；Mould is used to fruits and vegetables mall system
Block programming is beneficial to control the complexity of program, improves the modification of system function, it is easier to subsequent maintenance and function
The expansion of energy.
The embodiment of the present invention provides corresponding fruit-vegetable information method for pushing also directed to fruits and vegetables market management system, further
So that the system has more feasibility.Fruit-vegetable information method for pushing provided in an embodiment of the present invention is introduced below, under
The fruit-vegetable information method for pushing of text description can correspond to each other reference with above-described fruits and vegetables market management system.
Refer to Fig. 2 and Fig. 3, the embodiment of the present invention can include:
S201: the buying behavior data and attribute data of current system authorization login user are obtained.
S202: behavioural characteristic vector is converted by buying behavior data, and constitutes user characteristics vector with attribute data.
Optionally, user characteristics vector can be also input in support vector machines, to remove making an uproar in user characteristics vector
Acoustic intelligence, and using the user characteristics Vector Groups after denoising as the input of commercial product recommending model.
S203: user characteristics vector is input in building commercial product recommending model in advance, initial recommendation merchandise news is obtained.
It include multiple mapping tables in commercial product recommending model, each mapping table is for storing user characteristics vector sum fruits and vegetables commodity
Corresponding relationship
S204: according to ineligible in default commodity screening conditions and/or filter algorithm removal initial recommendation information
Commodity generate commercial product recommending information.
It, can also be based on item property, user behavior feedback in commercial product recommending information after generation=commercial product recommending information
The commodity for including are ranked up or ranking, and item property may be, for example, but be not restricted to commodity price, Brand, commodity
Score information, user behavior feedback, which may be, for example, but be not restricted to user's difference, comments commodity and the brand often bought or businessman etc., has
Conducive to the satisfaction that can preferably promote user.
The specific implementation process of each step of fruit-vegetable information method for pushing described in the embodiment of the present invention is referred to above-mentioned system
The associated description of each functional module in embodiment of uniting, details are not described herein again.
From the foregoing, it will be observed that the embodiment of the present invention is conducive to save the time that consumer browses the fruits and vegetables store page, store is improved
Trading efficiency.
The embodiment of the invention also provides a kind of fruits and vegetables store management equipments, specifically can include:
Memory, for storing computer program；
Processor realizes fruits and vegetables store management method described in any one embodiment as above for executing computer program
Step.
The function of each functional module of fruits and vegetables store management equipment described in the embodiment of the present invention can be implemented according to the above method
Method specific implementation in example, specific implementation process are referred to the associated description of above method embodiment, no longer superfluous herein
It states.
From the foregoing, it will be observed that the embodiment of the present invention is conducive to save the time that consumer browses the fruits and vegetables store page, store is improved
Trading efficiency.
The embodiment of the invention also provides a kind of computer readable storage mediums, are stored with fruits and vegetables store management program, institute
The step of stating when fruits and vegetables store management program is executed by processor fruits and vegetables store management method described in as above any one embodiment.
The function of each functional module of computer readable storage medium described in the embodiment of the present invention can be according to above method reality
The method specific implementation in example is applied, specific implementation process is referred to the associated description of above method embodiment, herein no longer
It repeats.
From the foregoing, it will be observed that the embodiment of the present invention is conducive to save the time that consumer browses the fruits and vegetables store page, store is improved
Trading efficiency.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with it is other
The difference of embodiment, same or similar part may refer to each other between each embodiment.For being filled disclosed in embodiment
For setting, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is referring to method part
Explanation.
Professional further appreciates that, unit described in conjunction with the examples disclosed in the embodiments of the present disclosure
And algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software generally describes each exemplary composition and step according to function in the above description.These
Function is implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Profession
Technical staff can use different methods to achieve the described function each specific application, but this realization is not answered
Think beyond the scope of this invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can directly be held with hardware, processor
The combination of capable software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
A kind of fruits and vegetables market management system provided by the present invention and fruit-vegetable information method for pushing have been carried out in detail above
It introduces.Used herein a specific example illustrates the principle and implementation of the invention, the explanation of above embodiments
It is merely used to help understand method and its core concept of the invention.It should be pointed out that for the ordinary skill people of the art
Member for, without departing from the principle of the present invention, can with several improvements and modifications are made to the present invention, these improve and
Modification is also fallen within the protection scope of the claims of the present invention.
Claims (10)
1. a kind of fruits and vegetables market management system, which is characterized in that including for pushing fruits and vegetables commodity to the user with permission
Information recommendation module；The information recommendation module includes:
Information collection submodule, for obtaining the buying behavior data and attribute data of user from system database；The attribute
Data are obtained from individual member's management module；
Feature vector generates submodule, for converting behavioural characteristic vector for the buying behavior data, and with the attribute
Data constitute user characteristics vector；
Recommendation information output sub-module is obtained for the user characteristics vector to be input in building commercial product recommending model in advance
To initial recommendation merchandise news；It include multiple mapping tables in the commercial product recommending model, each mapping table is for storing user characteristics
The corresponding relationship of vector sum fruits and vegetables commodity；
Recommendation information determines submodule, for initially being pushed away based on default commodity screening conditions and/or commodity filter algorithm by described
Commodity removal ineligible in information is recommended, commercial product recommending information is generated.
2. fruits and vegetables market management system according to claim 1, which is characterized in that it further include evaluation management module, it is described
Evaluation management module includes the evaluation score and word evaluation information of each commodity；The recommendation information determines that submodule includes:
Commodity score acquiring unit, for from obtaining each commodity in the initial recommendation merchandise news in the evaluation management module
Score value；
Commodity screening unit, for removing commodity of the score value not higher than default scoring threshold value from the initial recommendation information,
Generate candidate commodity recommendation information；
Commercial product recommending unit generates most for being ranked up from high to low to the candidate commodity recommendation information according to score value
Whole commercial product recommending information.
3. fruits and vegetables market management system according to claim 1, which is characterized in that the recommendation information determines submodule packet
It includes:
Information selecting section, the merchandise news of user's purchase for will be obtained from order management module and from shopping cart pipe
The user obtained in reason module selected merchandise news, delete merchandise news as candidate；
Commodity selection unit is deleted for being determined from the initial recommendation merchandise news based on collaborative filtering with the candidate
Except end article identical in merchandise news；
Commercial product recommending unit, for deleting each end article from the initial recommendation merchandise news, and will be initial after deletion
Recommendations information is as final goods recommendation information.
4. fruits and vegetables market management system according to claim 1, which is characterized in that it further include Marketing Manager Module, it is described
Marketing Manager Module includes the favor information of each commodity；The recommendation information determines that submodule includes:
It is preferred that commodity obtain module, for obtaining preferential merchandise news from the Marketing Manager Module, preferred commodity letter is generated
Breath；
Commodity selection unit, for being determined and the preferred quotient from the initial recommendation merchandise news based on collaborative filtering
Identical end article in product information, and the end article by score value lower than default scoring threshold value removes, and generates end article
Collection；
Commercial product recommending unit concentrates each commodity identical for selecting from the initial recommendation merchandise news with the end article
Commodity, generate final goods recommendation information.
5. fruits and vegetables market management system according to any one of claims 1 to 4, which is characterized in that further include that feature is deleted
Except submodule, the feature deletes submodule for the user characteristics vector to be input in support vector machines, to remove
The noise information in user characteristics vector is stated, and the user characteristics vector after denoising is sent to the recommendation information and exports submodule
In block.
6. fruits and vegetables market management system according to claim 5, which is characterized in that including system login module；
The system login module is used to show the corresponding system page according to the logon rights verification information of input；The system
The page includes merchant page and consumer's page；
The merchant page include businessman's member management module, item management module, businessman's order management module, businessman dispatching sell
Post-processing module, businessman's cash register management module and transaction data analysis module；
The consumer page face includes that individual member's management module, shopping cart management module, personal order management module, individual match
Send processing module, personal cash register management module, the information recommendation module, evaluation management module and Marketing Manager Module after sale.
7. fruits and vegetables market management system according to claim 6, which is characterized in that the merchant page further includes consumer
Management module, consumer's management module include that consumer complains submodule and limitation purchase submodule；
The consumer complains consumer information of the submodule for submitting the system that do not meet to provide consumer behavior；The limitation purchase
Buy the submodule consumer information limited for store transaction behavior.
8. fruits and vegetables market management system according to claim 7, which is characterized in that the evaluation management module includes commodity
Evaluate submodule, businessman evaluates submodule and submodule is evaluated in logistics.
9. fruits and vegetables market management system according to claim 8, which is characterized in that the transaction data analysis module includes
Sales data record sub module, procurement of commodities submodule, consumer integrates record sub module and transaction data predicts submodule；
The transaction data prediction submodule is used to integrate record according to the sales data record sub module and the consumer
Submodule predicts the commodity transaction data in preset time period.
10. a kind of fruit-vegetable information method for pushing characterized by comprising
Obtain the buying behavior data and attribute data of current system authorization login user；
Behavioural characteristic vector is converted by the buying behavior data, and constitutes user characteristics vector with the attribute data；
The user characteristics vector is input in building commercial product recommending model in advance, initial recommendation merchandise news is obtained；It is described
It include multiple mapping tables in commercial product recommending model, each mapping table is used to store the corresponding of user characteristics vector sum fruits and vegetables commodity and closes
System；
Commodity ineligible in the initial recommendation information are removed according to default commodity screening conditions and/or filter algorithm,
Generate commercial product recommending information.
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