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CN107767217A - Shopping recommendation method, mobile terminal and storage medium - Google Patents

Shopping recommendation method, mobile terminal and storage medium
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Publication number
CN107767217A
CN107767217ACN201710977197.8ACN201710977197ACN107767217ACN 107767217 ACN107767217 ACN 107767217ACN 201710977197 ACN201710977197 ACN 201710977197ACN 107767217 ACN107767217 ACN 107767217A
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CN
China
Prior art keywords
shopping
user
history
commodity
shopping list
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710977197.8A
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Chinese (zh)
Inventor
周胜杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Konka Group Co Ltd
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Konka Group Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Konka Group Co LtdfiledCriticalKonka Group Co Ltd
Priority to CN201710977197.8ApriorityCriticalpatent/CN107767217A/en
Publication of CN107767217ApublicationCriticalpatent/CN107767217A/en
Pendinglegal-statusCriticalCurrent

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Abstract

The invention discloses shopping recommendation method, mobile terminal and storage medium, methods described to include:Obtain and collect all shopping lists of user's shopping, and all shopping lists of user are automatically uploaded to server, server is personally demonstrate,proved as unique identifier, association phone number and payment accounts;Analyze shopping history in all shopping lists of user to record, classified according to the shelf-life of the type of merchandise of shopping and shopping-time and commodity;Cycle shopping items and the time of user is analyzed, according to the time buying next time of pre-provisioning request automatic Prediction user;Automatic push shopping list is to user terminal before the time buying next time arrives.The user's history shopping information be sunk into sleep using invention activation, a kind of new shopping channel has been built, has made the shopping of user more precisely and quick, there is provided a kind of new intelligent purchase and consumption custom, consumption prompting function has been provided the user, has been provided users with the convenient.

Description

Shopping recommendation method, mobile terminal and storage medium
Technical field
The present invention relates to field of mobile terminals, more particularly to a kind of shopping based on user's history shopping list to recommendMethod, mobile terminal and storage medium.
Background technology
With the continuous development of electronic technology and network technology, increasing user likes shopping at network.
Currently either done shopping under online shopping or line, shopping history data are all precipitations, are not used, specialIt is not the commodity that user needs that the cycle does shopping, is all to need user oneself to remember just to do shopping, has not known article sometimesIt has been used up that, cause inconvenience to user.
Therefore, the prior art is defective, has much room for improvement and develops.
The content of the invention
The technical problem to be solved in the present invention is, for the drawbacks described above of prior art, there is provided one kind is gone through based on userMethod, mobile terminal and storage medium are recommended in the shopping of history shopping list.Patent of the present invention is a kind of based on user's history shoppingMethod is recommended in the shopping of inventory, makes full use of the history shopping list of user, precisely analyzes the shopping need of user, particularly weekPhase property shopping need.With reference to the history shopping list of user, push Recommendations inventory, shopping is recommended to remind to user, userCan also self-defined cycle shopping list, the date arrived just push a confirmation message to user, provided the user side significantlyJust.
The technical proposal for solving the technical problem of the invention is as follows:
Method is recommended in a kind of shopping based on user's history shopping list, wherein, including:
A, acquisition and all shopping lists of user's shopping are collected, and all shopping lists of user is automatically uploaded to serviceDevice, server are personally demonstrate,proved as unique identifier, association phone number and payment accounts;
B, analyze shopping history in all shopping lists of user to record, according to the type of merchandise of shopping and shopping-time and commodityShelf-life classified;Cycle shopping items and the time of user is analyzed, according to the next of pre-provisioning request automatic Prediction userThe secondary time buying;
C, the time buying next time arrive before automatic push shopping list to user terminal.
Method is recommended in the shopping based on user's history shopping list, wherein, also include after the step C:
D, user terminal receives shopping list, and the operational order for receiving user is clicked on and is editing into the additions and deletions of the product of doing business and changes, soAfter carry out pay purchase operation.
Method is recommended in the shopping based on user's history shopping list, wherein, the step B also includes:
B1, cycle shopping items and the time of user are automatically analyzed, the commercial product recommending that user must be bought per second periodicity is to userTerminal carries out reservation purchase.
Method is recommended in the shopping based on user's history shopping list, wherein, the step B also includes:
B2, the shopping favor information for obtaining store or solid shop/brick and mortar store, automatic decision favor information and the matching of user's shopping listDegree, during the purchasing habits for matching user when preferential generation recommend shopping list and favor information to be pushed to user terminal.
Method is recommended in the shopping based on user's history shopping list, wherein, the step D also includes:
D1, obtain automatically and analyze the shelf-life of article and warranty data and commodity use range in user's shopping list;WhenCommodity exceed the shelf-life, and the related quality period prompting of automatic push is to user terminal and some Recommendations to user terminal;
D2, expire when the quality guarantee of user's commodity, operation and commending system can recommend quality guarantee to continue to pay dues to be continued to pay dues to user, or push awayThe guarantee mode for recommending commodity is collected for user.
Method is recommended in the shopping based on user's history shopping list, wherein, the step D also includes:
D3, when user some commodity using a period of time after and when this season, automatic push commodity safeguard information toUser terminal.
Method is recommended in the shopping based on user's history shopping list, wherein, the step D also includes:
Consumption habit according to speed new on commodity according to user, push new commodity are marked and gone through with which class to user terminalHistory commodity are similar;
Classification is carried out to history shopping items to show, and to needing the commodity of quality guarantee to carry out classification display and key calling after saleFunction;
Message push mode is defined, user operation instruction is received and defines whether certain a kind of message receives;
The operational order for receiving user associates other consumers and founded a family consumption mode or consumption mode in partnership.
Method is recommended in the shopping based on user's history shopping list, wherein, the step A is specifically included:
A1, acquisition simultaneously collect customer consumption history shopping list, pass through being done shopping under user's shopping at network each time or linePayment system or Supermarket system are automatically uploaded to server, and server is personally demonstrate,proved as unique identifier, associationPhone number and payment accounts;
On A2 and all shopping lists that user is inquired by wechat public number or APP, and manual scanning shopping receiptPass shopping list.
A kind of mobile terminal, wherein, including processor, and the memory being connected with the processor,
The memory storage has computer program, realizes that any one is gone through based on user when the computer program is executed by processorThe step of method, is recommended in the shopping of history shopping list;
The processor is used to call the programmed instruction in the memory, is done shopping with performing any of the above-described based on user's historyThe step of method, is recommended in the shopping of inventory.
A kind of storage medium, wherein, the storage medium is stored with computer program, and the computer program is held by processorThe step of method is recommended in the shopping based on user's history shopping list described in any one is realized during row.
Method, mobile terminal and storage medium are recommended in shopping provided by the present invention based on user's history shopping list,Patent of the present invention is that method is recommended in a kind of shopping based on user's history shopping list, makes full use of the history of user to do shopping clearlyIt is single, precisely analyze the shopping need of user, particularly periodicity shopping need.With reference to the history shopping list of user, push pushes awayRecommend inventory, recommend shopping to remind to user, user can also self-defined cycle shopping list, the date arrived just push oneFor confirmation message to user, user confirms that payment can deliver goods to the customers, and provides users with the convenient.
Brief description of the drawings
Fig. 1 is the flow chart of the preferred embodiment of shopping recommendation method of the present invention based on user's history shopping list.
Fig. 2 is mobile terminal preferred embodiment functional schematic block diagram of the present invention.
Embodiment
To make the objects, technical solutions and advantages of the present invention clearer, clear and definite, develop simultaneously embodiment pair referring to the drawingsThe present invention is further described.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and do not have toIt is of the invention in limiting.
Patent of the present invention is that method is recommended in a kind of shopping based on user's history shopping list, makes full use of the history of userShopping list, precisely analyze the shopping need of user, particularly periodicity shopping need.With reference to the history shopping list of user,Push Recommendations inventories, recommend shopping to remind to user, user can also self-defined cycle shopping list, the date is to just pushing awaySending a confirmation message, user confirms that payment can deliver goods to the customers to user.
Fig. 1 is referred to, Fig. 1 is the preferred embodiment of shopping recommendation method of the present invention based on user's history shopping listFlow chart.As shown in figure 1, method is recommended in a kind of shopping based on user's history shopping list of the present invention, comprise the following steps:
Step S100, acquisition and all shopping lists of user's shopping are collected, and all shopping lists of user is uploaded automaticallyTo server, server is personally demonstrate,proved as unique identifier, association phone number and payment accounts.
In the embodiment of the present invention, it can obtain and collect customer consumption history shopping list, by the network of user each timeEither shopping is automatically uploaded to server by payment system or Supermarket system under line for shopping, and server is personallyDemonstrate,prove as unique identifier, association phone number and payment accounts;
All shopping lists of user, and manual scanning shopping receipt and can also be inquired by wechat public number or APPUpload shopping list.
Step S200, analyze shopping history in all shopping lists of user to record, according to the type of merchandise of shopping and shoppingTime and the shelf-life of commodity are classified;Cycle shopping items and the time of user is analyzed, it is automatically pre- according to pre-provisioning requestSurvey the time buying next time of user;
In the inventive method, system can analyze user's shopping history record, according to the type of merchandise of shopping and shopping-time andThe shelf-life of commodity is classified.The cycle shopping items and time of operation and commending system analysis user, are predicted under userThe single purchase time, shopping list is pushed before user next time time buying arrival(The shopping list includes user's cycleProperty than purchase commodity and recommend the commodity used with these tie-in sales)To user.
Step S300, before the time buying next time arrives, automatic push shopping list is to user terminal.
Such as in the present invention, can before the time buying next time arrives automatic push shopping list to user mobile phone.
Step S400, user terminal receives shopping list, and the operational order for receiving user is clicked on and is editing into the product of doing businessAdditions and deletions change, then carry out pay purchase operation.
In the embodiment of the present invention, when user mobile phone receives the notice of shopping list, and the operational order for receiving user is clicked onThe additions and deletions for being editing into the product of doing business change, and then carry out paying purchase operation.
Further, method is recommended in the shopping based on user's history shopping list, wherein, the step S200 is also wrappedInclude:
Cycle shopping items and the time of user can be automatically analyzed in the present invention, the commodity that user must buy per second periodicity are pushed awayRecommend and carry out reservation purchase to user terminal.
In certain the inventive method, system can also obtain the shopping favor information of store or solid shop/brick and mortar store, such as pass throughUser mobile phone pays close attention to businessman's wechat system, automatic decision favor information and the matching degree of user's shopping list automatically, when preferentialGeneration recommends shopping list and favor information to be pushed to user terminal when mixing the purchasing habits of user.
Further, method is recommended in the shopping based on user's history shopping list, wherein, the step S400 is also wrappedInclude:
D1, obtain automatically and analyze the shelf-life of article and warranty data and commodity use range in user's shopping list;WhenCommodity exceed the shelf-life, and the related quality period prompting of automatic push is to user terminal and some Recommendations to user terminal.
D2, expiring when the quality guarantee of user's commodity, operation and commending system can recommend quality guarantee to continue to pay dues to be continued to pay dues to user, orThe guarantee mode of person's Recommendations is collected for user.
D3, when user some commodity using a period of time after again this season when, automatic push commodity safeguard believeCease to user terminal.
The present invention can also realize the consumption habit according to user according to speed new on commodity, and push new commodity is to userTerminal, and mark similar with which class history commodity;
Classification can also be carried out to history shopping items to show, and the commodity of quality guarantee carry out classification display and a key is exhaled to needingIt is function after sale;
It is preferred that the present invention can define message push mode, receive user operation instruction and define whether certain a kind of message receives;
It is preferred that the operational order that the present invention can receive user associates other consumers and founded a family consumption mode or in partnershipConsumption mode.
Therefore the invention activation user's history shopping information being sunk into sleep, a kind of new shopping channel has been built, makeThe shopping of user is more precisely and quick, there is provided a kind of new intelligent purchase and consumption custom, has provided the user consumptionPrompting function, provide users with the convenient.
The present invention is described in further detail below by way of a concrete application embodiment:
Method is recommended in the shopping based on user's history shopping list of concrete application embodiment of the present invention, is comprised the following steps:
1st, customer consumption history shopping list module is collected, shopping is by paying system under user's shopping at network each time or lineSystem or Supermarket system pass to server, and server is personally demonstrate,proved as unique identifier, association phone number and branchThe number of paying a bill.
2nd, user can by wechat public number either other APP channels inquire oneself all shopping lists orManual scanning shopping receipt uploads shopping list.
3rd, operation and commending system analysis user shopping history record, according to the type of merchandise of shopping and shopping-time andThe shelf-life of commodity is classified.
4th, the cycle shopping items and time of operation and commending system analysis user, when predicting the purchase next time of userBetween, push shopping list before user next time time buying arrival(The shopping list includes user periodically than the business of purchaseThe commodity that product and recommendation use with these tie-in sales)To user.
5th, user, which receives shopping list and can clicked on, is editing into the additions and deletions of the product of doing business and changes, and is then paid.
6th, the cycle shopping items and time of operation and commending system analysis user, the business that user must be bought per second periodicityProduct recommended user preengages purchase.
7th, operation and commending system obtain the shopping favor information of store or solid shop/brick and mortar store, and automatic decision favor information is with usingThe matching degree of family shopping list, during the purchasing habits for matching user when preferential generation recommend shopping list and favor information pushTo user.
8th, the shelf-life and warranty data and commodity use range of operation and commending system analysis user.
9th, when commodity exceed the shelf-life, operation and commending system can push the quality period prompting of correlation to user and someRecommendations are to user.
10th, when the quality guarantee of user's commodity expires, operation and commending system can recommend quality guarantee to continue to pay dues to be continued to pay dues to user, orThe guarantee mode of person's Recommendations is collected for user.
11st, after some commodity of user are using a period of time when this season again, operation and commending system pushCommodity safeguard information(Such as household electrical appliances cleaning)To user.
12nd, the consumption habit of operation and commending system according to speed new on commodity according to user, push new commodity is to useFamily uses, and marks similar with which class history commodity.
13rd, operation and commending system can carry out classification to history shopping items and show
14th, operation and commending system can be to needing the commodity of quality guarantee to carry out classification display and key calling function after sale.
15th, operation and commending system can define message push mode, and user can define whether certain a kind of message receives
16th, operation and commending system support that the other consumers of user-association found a family consumption mode or consumption mode in partnership.
Therefore patent of the present invention is that have activated the user's history shopping information being sunk into sleep, and has built a kind of new shoppingChannel, make the shopping of user more precisely and quick, there is provided a kind of new intelligent purchase and consumption custom.
Certainly, one of ordinary skill in the art will appreciate that realizing all or part of flow in above-described embodiment method,It is that related hardware can be instructed by computer program(Such as processor, controller etc.)To complete, described program can storeIn a computer-readable storage medium, the program may include such as the flow of above-mentioned each method embodiment upon execution.ItsDescribed in storage medium can be memory, magnetic disc, CD etc..
Embodiment three
The embodiment of the present invention additionally provides a kind of mobile terminal, as shown in Fig. 2 the mobile terminal of the present embodiment includes processor10, and the memory 20 being connected with the processor 10,
The memory 20 is stored with computer program, realizes that as above any one is real when the computer program is performed by processor 10Apply the step of method is recommended in the shopping based on user's history shopping list described in example;
The processor 10 is used to call the programmed instruction in the memory, is based on performing described in any of the above-described embodimentThe step of method, is recommended in the shopping of user's history shopping list.
Example IV
A kind of storage medium of the embodiment of the present invention, wherein, the storage medium is stored with computer program, the computer program quiltProcessor 10 realizes the step of the shopping recommendation method based on user's history shopping list described in any of the above-described embodiment when performingSuddenly.
In summary, shopping provided by the present invention based on user's history shopping list recommend method, mobile terminal andStorage medium, patent of the present invention are that method is recommended in a kind of shopping based on user's history shopping list, make full use of going through for userHistory shopping list, precisely analyze the shopping need of user, particularly periodicity shopping need.History shopping with reference to user is clearIt is single, push Recommendations inventory, recommend shopping to remind to user, user can also self-defined cycle shopping list, the date arrivesWith regard to one confirmation message of push to user, user confirms that payment can deliver goods to the customers, and provides users with the convenient.
It should be appreciated that the application of the present invention is not limited to above-mentioned citing, for those of ordinary skills, canTo be improved or converted according to the above description, all these modifications and variations should all belong to the guarantor of appended claims of the present inventionProtect scope.

Claims (10)

CN201710977197.8A2017-10-192017-10-19Shopping recommendation method, mobile terminal and storage mediumPendingCN107767217A (en)

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CN108198058A (en)*2018-03-312018-06-22丁超Method of Commodity Recommendation and device
CN108777045A (en)*2018-06-072018-11-09北京京东尚科信息技术有限公司Shopping settlement method, system and purchase system
CN108876526A (en)*2018-06-062018-11-23北京京东尚科信息技术有限公司Method of Commodity Recommendation, device and computer readable storage medium
CN108960992A (en)*2018-06-292018-12-07黄宗治A kind of information recommendation method and relevant device
CN108985880A (en)*2018-06-212018-12-11北京优酷科技有限公司page display method and device
CN109300002A (en)*2018-09-142019-02-01百度在线网络技术(北京)有限公司Information-pushing method, device, computer equipment and storage medium
CN109493177A (en)*2018-11-122019-03-19深圳云行智能科技有限公司A kind of intelligent Matching SKU selection method and its system and storage medium
CN109872220A (en)*2019-01-242019-06-11上海朝朝晤网络科技有限公司A kind of commercial product recommending list method for pushing and commercial product recommending list supplying system
CN110443637A (en)*2019-07-162019-11-12浙江大华技术股份有限公司User's Shopping Behaviors analysis method, device and storage medium
CN111461846A (en)*2020-05-072020-07-28蒋丽菲 A shopping record analysis feedback system and method thereof
CN111586169A (en)*2020-05-072020-08-25苏宁云计算有限公司Commodity marketing information pushing method and system
CN111652606A (en)*2020-04-152020-09-11珠海小礼鱼科技有限公司 An intelligent retail terminal system
CN111652669A (en)*2020-04-152020-09-11珠海小礼鱼科技有限公司Intelligent terminal shopping guide system and method
CN111738786A (en)*2019-04-242020-10-02北京京东尚科信息技术有限公司Method, system, apparatus and readable storage medium for building a combination of commodities
CN112633960A (en)*2019-09-242021-04-09北京京东尚科信息技术有限公司Recommendation information pushing method and device and computer readable storage medium
CN113554479A (en)*2020-07-172021-10-26牛文运Article circulation tracking processing method and related assembly
CN114255106A (en)*2021-12-212022-03-29深圳康佳电子科技有限公司Activity information pushing method and system, mobile terminal and readable storage medium
TWI847022B (en)*2020-11-272024-07-01日商三菱電機股份有限公司 Information processing system, information processing method and information processing program

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CN108198058A (en)*2018-03-312018-06-22丁超Method of Commodity Recommendation and device
CN108876526A (en)*2018-06-062018-11-23北京京东尚科信息技术有限公司Method of Commodity Recommendation, device and computer readable storage medium
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CN108777045A (en)*2018-06-072018-11-09北京京东尚科信息技术有限公司Shopping settlement method, system and purchase system
CN108985880A (en)*2018-06-212018-12-11北京优酷科技有限公司page display method and device
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CN109300002A (en)*2018-09-142019-02-01百度在线网络技术(北京)有限公司Information-pushing method, device, computer equipment and storage medium
CN109493177A (en)*2018-11-122019-03-19深圳云行智能科技有限公司A kind of intelligent Matching SKU selection method and its system and storage medium
CN109872220A (en)*2019-01-242019-06-11上海朝朝晤网络科技有限公司A kind of commercial product recommending list method for pushing and commercial product recommending list supplying system
CN111738786A (en)*2019-04-242020-10-02北京京东尚科信息技术有限公司Method, system, apparatus and readable storage medium for building a combination of commodities
CN110443637A (en)*2019-07-162019-11-12浙江大华技术股份有限公司User's Shopping Behaviors analysis method, device and storage medium
CN112633960B (en)*2019-09-242024-05-24北京京东尚科信息技术有限公司Recommendation information pushing method and device and computer readable storage medium
CN112633960A (en)*2019-09-242021-04-09北京京东尚科信息技术有限公司Recommendation information pushing method and device and computer readable storage medium
CN111652669A (en)*2020-04-152020-09-11珠海小礼鱼科技有限公司Intelligent terminal shopping guide system and method
CN111652606B (en)*2020-04-152023-05-02珠海小礼鱼科技有限公司 An intelligent retail terminal system
CN111652606A (en)*2020-04-152020-09-11珠海小礼鱼科技有限公司 An intelligent retail terminal system
CN111461846B (en)*2020-05-072021-06-25拓森云电子商务集团有限公司 A shopping record analysis feedback system and method thereof
CN114897551A (en)*2020-05-072022-08-12蒋丽菲Shopping record analysis feedback system
CN111586169A (en)*2020-05-072020-08-25苏宁云计算有限公司Commodity marketing information pushing method and system
CN111461846A (en)*2020-05-072020-07-28蒋丽菲 A shopping record analysis feedback system and method thereof
CN113554479A (en)*2020-07-172021-10-26牛文运Article circulation tracking processing method and related assembly
WO2022011982A1 (en)*2020-07-172022-01-20上海彬黎科技有限公司Item circulation tracking processing method and related assembly
TWI847022B (en)*2020-11-272024-07-01日商三菱電機股份有限公司 Information processing system, information processing method and information processing program
CN114255106A (en)*2021-12-212022-03-29深圳康佳电子科技有限公司Activity information pushing method and system, mobile terminal and readable storage medium

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