CN103927674A - Method for commenting and recommending physical store by using Bluetooth and network - Google Patents
Method for commenting and recommending physical store by using Bluetooth and network Download PDFInfo
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- CN103927674A CN103927674A CN201410138479.5A CN201410138479A CN103927674A CN 103927674 A CN103927674 A CN 103927674A CN 201410138479 A CN201410138479 A CN 201410138479A CN 103927674 A CN103927674 A CN 103927674A
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Abstract
The invention discloses a method and system for commenting and recommending a physical store, and belongs to the field of application software. The system comprises user mobile phone client terminal software, storekeeper mobile phone terminal software and a remote cloud server-side program. When entering the store or arriving at a place nearby the store, a user searches for the store through the user mobile phone client terminal software; the user can obtain detailed information and rating conditions of the store via Bluetooth communication after the storekeeper mobile phone terminal software in the store is selected and connected. When completing consumption, the user can rate the store through the user mobile phone client terminal software via the Bluetooth communication. The user can further obtain recommendations to certain stores by a remote cloud server through the user mobile phone client terminal software. According to the method and system for commenting and recommending the physical store, the commenting function is achieved with no need for network traffic, the reliable detailed information and rating conditions of the store are provided, and meanwhile the recommendations of the similar stores are combined; in this way, the method and system play an important reference role in consumption decisions of the user; besides, contrast competition and rapid progress of all physical stores can be promoted.
Description
Technical field
The invention belongs to Computer Applied Technology field, relate to a kind of method of using bluetooth and network that solid shop is commented on and recommended.
Background technology
Along with the development in epoch, the popularity of mobile phone is more and more higher, and modern society has almost reached the degree of a mobile phone of staff.With this simultaneously, although online ecommerce, the development of consumption on network is very fast, but people still do not break away from the demand of the consumption of more reliable solid shop, so it is also more and more to utilize application program of mobile phone to help the case that user carries out current consumption.
Although the popularity of mobile phone is very high, cell phone network flow is still in nervous state.For cellphone subscriber, monthly spending from GPRS or the 3G network flow of Virtual network operator customization is still a finite value, and if exceed this definite value, the charge of network traffics will be higher.In this case, to expend the situation of flow extremely responsive for being arranged on application program in own mobile phone for cellphone subscriber, and therefore cellphone subscriber wishes that the flow of each handset program cost is more few better.
Utilizing the comment of consumer to shop or scoring to help mobile phone application that user consumes has had much, comprises popular comment, makes war to comment and waits comprehensive comment to apply, also comprise hotel comment, hospital's comment, air-conditioning comment, the comment application that automobile comment etc. are special.
The problem that precious network traffics are commented on that expends is not all broken away from current existing various comment application, therefore user still feels misgivings in the time using these application, and owing to being the comment data of Internet Transmission, the true and reliable property of these data can not allow user thoroughly relieved.
Summary of the invention
In order to overcome above-mentioned deficiency, the invention provides a kind of method of using bluetooth and network that solid shop is commented on and recommended, utilize the function of Bluetooth communication of mobile phone, for user provides true and reliable consumption reference information, realize the function that completes comment operation without network traffics, better help user to carry out consumption decision, the shop recommendation service of high-quality is provided for user simultaneously, for user saves the worry of contrast and hesitation.
A method of using bluetooth and network that solid shop is commented on and recommended, the system that the method that solid shop is commented on and recommended is used comprises user mobile phone client, storekeeper's mobile phone terminal and long-range Cloud Server end, the method comprises the steps:
Near step 1: user, shop, by user mobile phone client, searches for the bluetooth server of this shop storekeeper's mobile phone; User mobile phone client can be achieved as follows function: Search Shops, check shop details and current scoring situation, shop marked, obtained the recommendation information in similar shop.Storekeeper's mobile phone terminal can be achieved as follows function: open or close shop and evaluate service, editor shop details, backup score data and download score data.
Step 2: by bluetooth, user mobile phone and the successful connection of storekeeper's mobile phone, utilize the function of Bluetooth communication of mobile phone, obtains the shop details in this shop and the scoring situation of client to this shop in the past; Shop details comprise the information such as shop title, shop type, shop phone, address, shop and shop brief introduction.Shop scoring situation comprises attitude scoring, the scoring of price height, cost performance scoring, overall merit number of times and independent assessment number of times.
Step 3: after customer consumption, by user mobile phone client, marked in consumed shop, score information arrives storekeeper's mobile phone terminal by Bluetooth transmission;
Step 4: storekeeper's mobile phone terminal receives after scoring, stores and calculates;
Step 5: storekeeper selects all score information of regularly manually or automatically mobile phone terminal being collected backup to long-range Cloud Server or the score information on long-range Cloud Server is downloaded on mobile phone; Long-range Cloud Server end program comprises following function: receive the score data uploaded, provide score data to download, provide the recommendation service in similar shop.
Step 6: user carries out after the scoring of shop, long-range Cloud Server end is according to bluetooth MAC(Media Access Control Address) address, utilize proposed algorithm to recommend for each user provides different classes of shop.
The invention has the beneficial effects as follows the function of Bluetooth communication by mobile phone, realize the comment function without network traffics, reliable shop details and scoring situation are provided, while is in conjunction with the recommendation in similar shop, consumption decision for user can play important reference role, and the shop community setting up by native system, can promote contrast competition and the progress fast of each solid shop.
Brief description of the drawings
Fig. 1 is the schematic diagram of entire system structure of the present invention.
Fig. 2 is the process flow diagram of user mobile phone client software function operation of the present invention.
Fig. 3 is the process flow diagram of user mobile phone client software recommending module method of operating of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the present invention is described in further detail, to technical characterictic of the present invention and advantage are interpretated more in-depth.
As shown in Figure 1, this system comprises user mobile phone client software to the schematic diagram of entire system structure of the present invention, storekeeper's mobile phone terminal software and long-range Cloud Server end program.User utilizes bluetooth to obtain shop details by mobile phone client software, is marked in shop.Storekeeper's mobile phone terminal software, except receiving the connection of user mobile phone end software, also can manually or automatically backup to score data long-range Cloud Server end program, certainly also score data can be downloaded on mobile phone.Long-range Cloud Server end program provides the recommendation service in a certain classification shop according to the bluetooth MAC Address of user mobile phone for each user.
As shown in Figure 2, the process flow diagram of user mobile phone client software recommending module method of operating as shown in Figure 3 for the process flow diagram of user mobile phone client software operation of the present invention.Concrete operation step is as follows:
Step 1, user enters shop or comes near shop, by mobile phone client software, searches for the bluetooth server of this shop storekeeper's mobile phone;
Step 2, user utilizes mobile phone client software to connect after the success of storekeeper's mobile phone terminal software, utilizes the function of Bluetooth communication of mobile phone, obtains shop details and the scoring situation of former client to this shop in this shop;
Step 3, after customer consumption, by mobile phone client software, marks to shop, and score information arrives storekeeper's mobile phone terminal software by Bluetooth transmission;
Step 4, storekeeper's mobile phone terminal software receives after scoring, stores accordingly and calculates;
Step 5, storekeeper can select all score information of regularly manually or automatically mobile phone terminal software being collected to backup to long-range Cloud Server, also the score information on long-range Cloud Server can be downloaded on mobile phone simultaneously;
Step 6, user carries out after the scoring of shop, and long-range Cloud Server end program, according to bluetooth MAC Address, is utilized proposed algorithm, recommends for each user provides different classes of shop.
In above-mentioned steps 1, the bluetooth MAC Address that the ID of storekeeper's Bluetooth of mobile phone server in the described different shops of identification is different mobile phones.Shop details described in step 2 comprise shop title, shop type, shop phone, address, shop and shop brief introduction.Shop scoring situation described in step 2 comprises the attitude scoring in this shop, the scoring of price height, cost performance scoring, overall merit number of times and independent assessment number of times.The scoring item to this shop scoring described in step 3 comprises attitude, price height and cost performance.
The attitude of user mobile phone client software to shop, when price height and cost performance are marked, each item rating is the decimal between 0 to 5, and step-length is 0.5 point, for example 1 point, 1.5 points, 2 points, 2.5 grade.
User utilizes mobile phone terminal software to carry out after evaluation shop, to attitude, and the scoring of price height and cost performance, and the bluetooth MAC Address of this mobile phone sends storekeeper's mobile phone terminal software to by bluetooth.Storekeeper's mobile phone terminal software receives that after an evaluation, the operation of carrying out comprises:
1) store this evaluation into SQLite database, storage data comprise evaluation time, user mobile phone bluetooth MAC Address, attitude scoring, the scoring of price height and cost performance scoring;
2) overall merit number of times is added to one;
3) newly add after this comment data, recalculate the up-to-date overall attitude in this shop, price height and cost performance scoring.Computing method are all evaluating datas in query SQL ite, obtain attitude, price height and cost performance scoring summation separately, more separately divided by overall merit number of times, the result obtaining rounds up and remains into one decimal place;
4), according to user mobile phone bluetooth MAC Address query SQL ite database, judge that whether this mobile phone carried out evaluation to this shop before, if do not had, independent assessment number of times is added to one, otherwise independent assessment number of times remained unchanged;
The SQLite database of storekeeper's mobile phone terminal software storage evaluating data is through the encryption of the AES cryptographic algorithm of 256, make storekeeper be stored in the evaluating data in SQLite database by other approach change, ensure the safety and reliability of this shop evaluating data.
Regular cleaning every day of storekeeper's mobile phone terminal software is stored in the evaluating data in SQLite, according to the evaluation time of every comment data, only retains the evaluating data in nearest 3 years, deletes 3 years above evaluating datas, reduces as possible the storage space that takies storekeeper's mobile phone.Certainly, after having cleared up, need to recalculate the up-to-date overall attitude in this shop, price height and cost performance scoring.
Backup to the comment data being stored in SQLite on long-range Cloud Server storekeeper's mobile phone terminal software regular every month (certainly also can at any time).After storekeeper is for mobile phone refitting system or uninstall after mobile phone terminal software, reinstalls software, comment data can be downloaded on mobile phone again, thereby ensure that comment data was not lost in the past, also for the recommendation service of Cloud Server program provides computational data.In backup when comment data, also by the shop title in shop, shop type, shop phone, address, shop and shop brief introduction are transferred on long-range Cloud Server, so that Cloud Server end program provides recommendation service for user.
Storekeeper's mobile phone terminal software provides the function of change store information and opening/closing comment service.
The process flow diagram of user mobile phone client software recommending module method of operating as shown in Figure 3, the recommendation service that long-range Cloud Server end program provides is Web mode, user can pass through computer browser, mobile phone browser accessed web page address, just can obtain the store information of the type that 5 these users most possibly like after the bluetooth MAC Address of input handset and shop type.Or utilize mobile phone terminal program, without input handset bluetooth MAC Address, only need to select shop type also can obtain the shop of recommendation.
Long-range Cloud Server end program is according to the evaluating data of storekeeper's mobile phone terminal software backup, inquiry obtains the comment data in all shops of corresponding shop type, according to user's Bluetooth of mobile phone MAC Address, inquire about this user evaluation record in the past, utilize Slope One proposed algorithm, for this user provides the store information of recommendation.
Claims (1)
1. a method of using bluetooth and network that solid shop is commented on and recommended, the system that the method that solid shop is commented on and recommended is used comprises user mobile phone client, storekeeper's mobile phone terminal and long-range Cloud Server end, its feature comprises the steps:
Near step 1: user, shop, by user mobile phone client, searches for the bluetooth server of this shop storekeeper's mobile phone; User mobile phone client can be achieved as follows function: Search Shops, check shop details and current scoring situation, shop marked, obtained the recommendation information in similar shop; Storekeeper's mobile phone terminal can be achieved as follows function: open or close shop and evaluate service, editor shop details, backup score data and download score data;
Step 2: by bluetooth, user mobile phone and the successful connection of storekeeper's mobile phone, utilize the function of Bluetooth communication of mobile phone, obtains the shop details in this shop and the scoring situation of client to this shop in the past; Shop details comprise the information such as shop title, shop type, shop phone, address, shop and shop brief introduction; Shop scoring situation comprises attitude scoring, the scoring of price height, cost performance scoring, overall merit number of times and independent assessment number of times;
Step 3: after customer consumption, by user mobile phone client, marked in consumed shop, score information arrives storekeeper's mobile phone terminal by bluetooth;
Step 4: storekeeper's mobile phone terminal receives after scoring, stores and calculates;
Step 5: storekeeper selects all score information of regularly manually or automatically mobile phone terminal being collected backup to long-range Cloud Server or the score information on long-range Cloud Server is downloaded on mobile phone; Long-range Cloud Server end program comprises following function: receive the score data uploaded, provide score data to download, provide the recommendation service in similar shop;
Step 6: user carries out after the scoring of shop, long-range Cloud Server end, according to bluetooth MAC Address, utilizes proposed algorithm to recommend for each user provides different classes of shop.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410138479.5A CN103927674A (en) | 2014-04-08 | 2014-04-08 | Method for commenting and recommending physical store by using Bluetooth and network |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410138479.5A CN103927674A (en) | 2014-04-08 | 2014-04-08 | Method for commenting and recommending physical store by using Bluetooth and network |
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| CN103927674A true CN103927674A (en) | 2014-07-16 |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105184612A (en) * | 2015-09-07 | 2015-12-23 | 广东欧珀移动通信有限公司 | Route recommendation method and user terminal |
| CN105957218A (en) * | 2016-04-28 | 2016-09-21 | 常州信息职业技术学院 | Portable electronic equipment and evaluation system for service evaluation |
| CN106408402A (en) * | 2016-11-22 | 2017-02-15 | 中青冠岳科技(北京)有限公司 | Method and system for merchant evaluation based on electronic transaction |
| CN108648006A (en) * | 2016-12-02 | 2018-10-12 | 口碑(上海)信息技术有限公司 | Recommend method and device in shop |
| CN111149123A (en) * | 2017-09-27 | 2020-05-12 | 乐天株式会社 | Information processing device, information processing method, program, and storage medium |
-
2014
- 2014-04-08 CN CN201410138479.5A patent/CN103927674A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105184612A (en) * | 2015-09-07 | 2015-12-23 | 广东欧珀移动通信有限公司 | Route recommendation method and user terminal |
| CN105184612B (en) * | 2015-09-07 | 2018-03-27 | 广东欧珀移动通信有限公司 | A kind of route recommendation method and user terminal |
| CN105957218A (en) * | 2016-04-28 | 2016-09-21 | 常州信息职业技术学院 | Portable electronic equipment and evaluation system for service evaluation |
| CN105957218B (en) * | 2016-04-28 | 2018-01-05 | 常州信息职业技术学院 | Portable electric appts and evaluation system for service evaluation |
| CN106408402A (en) * | 2016-11-22 | 2017-02-15 | 中青冠岳科技(北京)有限公司 | Method and system for merchant evaluation based on electronic transaction |
| CN108648006A (en) * | 2016-12-02 | 2018-10-12 | 口碑(上海)信息技术有限公司 | Recommend method and device in shop |
| CN111149123A (en) * | 2017-09-27 | 2020-05-12 | 乐天株式会社 | Information processing device, information processing method, program, and storage medium |
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Application publication date: 20140716 |
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