CN106951572A - A kind of food and drink commending system and dining recommending method - Google Patents
A kind of food and drink commending system and dining recommending method Download PDFInfo
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Abstract
The application is a kind of dining recommending method and food and drink commending system, and the application is related to catering query technical field, and espespecially food and drink merchant information combination user self-demand carries out the advertisement recommended technology of COMPREHENSIVE CALCULATING.The dining recommending method includes：S100：Obtain demander's food and drink parameter of food and drink commending system；S200：Obtain supplier's food and drink parameter in the peripheral extent of appointed place in the food and drink commending system；S300：By the distance parameter of demander's food and drink parameter, supplier's food and drink parameter and demander and supplier, parameter vector matrix is formed；S400：By the parameter vector matrix after conversion, output food and drink trade company ranking results.
Description
Technical field
Present patent application is related to catering query technical field, and espespecially food and drink merchant information combination user self-demand carries out comprehensive
Total advertisement recommended technology calculated.
Background technology
Consumer goes to restaurant to have a meal, and is left again to checkout to consumption from decision-making is chosen, and the process of this row is gone to from mistake
All it is a logical order that will not be changed now to future, and mobile Internet change now, it is to be provided more for consumption
Convenient, more believable selection so that he makes most fast, most accurate decision-making, experiences better service.
O2O patterns contribute to food and beverage enterprise to find new client, develop new product to meet customer need；Client on line
Accurate information, search in time, inexpensive and collection are also convenient for the positive exploitation that business to customer resource carries out active.Can be with
Say, O2O patterns will promote the combination of catering trade online and offline business, accelerate Industry Innovation.
Chinese Patent Application No. is CN201220412083.1, and the utility model provides a set of battalion based on positional information
Recipe food and drink commending system is supported, by the generation of user's mobile device, Analysis on Nutritious Ingredient of Fattening equipment and recipe and dietary recommendations continued server
Composition, user's mobile device include embedded Control mainboard, Quick Response Code sensing module, location aware module, LCD MODULE,
Touch input module, communication module, mobile network's interface, wifi network interface, Analysis on Nutritious Ingredient of Fattening equipment include embedded control
Mainboard processed, input/output module, food identification module, nutrition ingredient in food database module, weight sensing module, communication mould
Block, user's mobile device is connected with Analysis on Nutritious Ingredient of Fattening equipment by communication module carries out data transfer, and user's mobile device leads to
Cross network to generate with recipe and food and drink recommendation server progress data transfer, the purpose is to quickly and accurately analyze the nutrition of food
Composition, and the present situation contacted is effectively set up by positional information and consumer-user, so as to be carried for the consumer of peripheral position
Selection for being more adapted to its nutrient diet, its advantage is the living standard for significantly improving people.
Chinese Patent Application No. is CN200910210027.2, a kind of electronic installation and is pushed away with its personal food and drink of progress
The method recommended.The method for carrying out personal food and drink recommendation with electronic installation comprises the following steps.Electronic installation is according to health risk
Group provides a weight distribution of the several nutritional ingredient attributes of correspondence.Electronic installation provides each according to each catering product respectively
Catering product corresponds to a scoring distribution of this little nutritional ingredient attribute.Electronic installation is according to weight distribution and each scoring distribution point
An average weighted score of each catering product is not calculated.Electronic installation sorts each catering product according to the height of average weighted score.
Existing O2O ecommerce is recommended, only rely on the advertising expense for moving in food and drink trade company or promotion expense number arranged
Sequence is recommended, simple and crude, or causing trade company/commodity that user's choosing is admired less than oneself, or directly results in user's choosing
The not strong O2O ecommerce of other utilitarians is selected to recommend.
The content of the invention
The food and drink commending system of the present invention is, it is necessary to which according to distance, client's fancy grade, trade company's paid promotion situation is arranged
Sequence is shown.The present invention uses matrix-vector method, various conditions, is converted into vector, constitutes a vector matrix, and according to weight
Calculating obtains result vector.The result vector determines the displaying ranking results to customer.
The present invention is achieved by the following technical solutions：
A kind of dining recommending method, methods described step includes：
S100：Obtain demander's food and drink parameter of food and drink commending system；
S200：Obtain supplier's food and drink parameter in the peripheral extent of appointed place in the food and drink commending system；(including pay
Popularization situation)
S300：By the distance parameter of demander's food and drink parameter, supplier's food and drink parameter and demander and supplier, formed parameter to
Moment matrix；
S400：By the parameter vector matrix after conversion, food and drink trade company (recommendation) ranking results are exported.
Further, demander's food and drink parameter in described dining recommending method, the S100 steps includes user's property
Not, user's native place, user's taste, user preference or number of meals.
Further, described dining recommending method, supplier's food and drink parameter of the S200 steps includes trade company's industry and commerce
Degrees of comparison, trade company's sanitary grade, trade company's area scale, merchant staff size, trade company provide the species of food and drink, battalion of trade company
The time range of industry or trade company promote paying grade.
Further, described dining recommending method, the demander of the S300 steps and the distance parameter of supplier are really
Surely need to further discriminate between the following two kinds situation：The demander independently uses the food and drink commending system, or, third party uses
The food and drink commending system, remote assistance demander is inquired about, is placed an order, preengage or ordered takeaway.
Further, described dining recommending method, the S300 steps comprise the following steps：
S310：The parameter vector matrix isWherein, first be classified as 3 suppliers distance it is remote
Nearly sequence, second is classified as the user preference degree sequence of demander, and the 3rd trade company for being classified as 3 suppliers promotes paying grade.
Further, described dining recommending method, the S400 steps comprise the following steps：
S410：Introduce weight vectorsWherein, b1 represents the distance weighting, and b2 represents the user preference journey
Weight is spent, b3 represents the trade company and promotes paying weight；
S420：Obtain product vector
Wherein, c1, c2, c3 represent the numerical value of each food and drink trade company respectively,
Wherein, c1=a11*b1+a12*b2+a13*b3, c2=a21*b1+a22*b2+a23*b3, c3=a31*b1+
a32*b2+a33*b3；
S430：It is ranked up according to described c1, c2, c3 numerical values recited.
Further, comprise the following steps after described dining recommending method, the S400 steps：
S500：Specific trade company is selected to be placed an order, preengage or ordered takeaway operation from the recommendation food and drink ranking results.
The present invention also provides a kind of food and drink and recommends (trade company) system：
A kind of food and drink commending system, the food and drink commending system includes intelligent terminal and food and drink recommendation network equipment,
The intelligent terminal, for logging in the food and drink recommendation network equipment, setting demander's food and drink parameter, setting demander's warp
Latitude information, retrieval food and drink merchant information, place an order, preengage or order takeaway；
The food and drink recommendation network equipment, for storing demander's food and drink parameter, supplier's food and drink parameter, parameter vector
Arrangement, vector matrix calculating, sequencing display result of calculation, receive described in place an order, preengage or order takeaway operation.
Further, described food and drink commending system, the intelligent terminal includes PC, NBK, PAD or Intelligent mobile equipment.
Further, described food and drink commending system, the food and drink recommendation network equipment includes memory, vector and calculates mould
Block, order module and communication module,
The memory, for storing demander's food and drink parameter, supplier's food and drink parameter, historical operation record and map datum
Storehouse；
The vector calculation module, for by demander's food and drink parameter, supplier's food and drink parameter and demander and supplier away from
From parameter, parameter vector matrix is formed, and the parameter vector matrix is converted；
The order module, food and drink trade company (recommendation) ranking results for exporting the vector calculation module；
The communication module, for the output of the order module to be sent into the intelligent terminal.
Further, described food and drink commending system, the food and drink recommendation network equipment also includes operation executing module, described
Operation executing module, for receiving the operation that places an order, preengages or order takeaway from intelligent terminal, and notifies specific food and drink business
Family is prepared, performs or reserved.
The present invention one of at least has the advantages that：
1. the advertising expense or promotion expense for moving in food and drink trade company are only relied on instant invention overcomes original food and drink commending system
Number be ranked up recommendation, cause the technical problem using customer loss.
2. the present invention assigns intelligent food and drink commending system, at least can according to demander's food and drink parameter, supplier's food and drink parameter with
And the distance parameter of demander and supplier enter row vector reckoning, obtain food and drink trade company ranking, are selected for user.
3. the present invention assigns intelligent food and drink commending system, it can be participated in carrying out weight calculation according to user preferences, it is such
Calculate that result can more meet the food and drink custom of user relatively.
4. the intelligent food and drink commending system of the present invention, intelligence degree is high, reliability is high, have a wide range of application, and can more reduce
Simple advertising expense kidnapping, can also reduce user and not like food and drink occupying front row, lifting user selects, places an order, preengages or cried
The efficiency of take-away.
Brief description of the drawings
The present invention is described in further detail with reference to the accompanying drawings and detailed description：
Fig. 1 is first embodiment of the invention schematic flow sheet；
Fig. 2 is first embodiment of the invention system structure diagram；
Fig. 3 is first embodiment of the invention network equipment module diagram.
Description of reference numerals
Intelligent terminal --- 100, (food and drink recommendation) network equipment --- 200, memory --- 210, vector calculate mould
Block --- 220, order module --- 230, communication module --- 240, operation executing module --- 250.
Embodiment
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, explanation and accompanying drawing are for the present invention below
It is exemplary, and is understood not to the limitation present invention.Numerous details are following description described to facilitate to this hair
Sensible solution.However, in some instances, well known or conventional details is not specified, the requirement succinct to meet specification simultaneously.
In one typical computing hardware configuration of the application, client/terminal, the network equipment and trusted party include one
Individual or multiple processors (CPU), input/output interface, network interface and internal memory.
Client, mobile terminal or the network equipment in the present invention include processor, are handled containing single core processor or multinuclear
Device.Processor is alternatively referred to as one or more microprocessors, CPU (CPU) etc..More specifically, processor can be
Complicated instruction set calculates (CISC) microprocessor, Jing Ke Cao Neng (RISC) microprocessor, very long instruction word (VLIW)
Microprocessor, the processor for realizing other instruction set, or realize the processor of instruction set combination.Processor can also be one or many
Individual application specific processor, such as application specific integrated circuit (ASIC), field programmable gate array (FPGA), digital signal processor
(DSP), network processing unit, graphic process unit, network processing unit, communication processor, cipher processor, coprocessor, embedded
Processor or be capable of process instruction any other type logical block.Processor is used to perform the behaviour that the present invention is discussed
Make the instruction with step.
Client, mobile terminal or the network equipment in the present invention include memory, for storing big data, it may include one
It is individual or multiple volatile storage devices, such as random access memory (RAM), dynamic ram (DRAM), synchronous dram (SDRAM), quiet
State RAM (SRAM) or other kinds of storage device.Memory can store including by processor or any other equipment execution
The information of command sequence.For example, several operation systems, device driver, firmware (for example, input and output fundamental system or
) and/or the executable code and/or data of application program can be loaded in memory and by computing device BIOS.
The operating system of client, mobile terminal or the network equipment in the present invention can be any kind of operating system,
Windows, Windows Phone of such as Microsoft, Apple Inc. IOS, the Android of Google, and Linux,
Unix operating systems or other real-time or embedded OS VxWorks etc..
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, explanation and accompanying drawing are for the present invention below
It is exemplary, and is understood not to the limitation present invention.Numerous details are following description described to facilitate to this hair
Sensible solution.However, in some instances, well known or conventional details is not specified, the requirement succinct to meet specification simultaneously.This
Equipment/system and method for invention is referring to following embodiments：
First embodiment
If Fig. 1 is shown in first embodiment of the invention schematic flow sheet：
A kind of dining recommending method, methods described step includes：
S100：Obtain demander's food and drink parameter of food and drink commending system；
S200：Obtain supplier's food and drink parameter in the peripheral extent of appointed place in the food and drink commending system；
S300：By the distance parameter of demander's food and drink parameter, supplier's food and drink parameter and demander and supplier, formed parameter to
Moment matrix；
S400：By the parameter vector matrix after conversion, food and drink trade company (recommendation) ranking results are exported.
Preferably, demander's food and drink parameter in described dining recommending method, the S100 steps includes user's property
Not, user's native place, user's taste, user preference or number of meals.
Preferably, described dining recommending method, supplier's food and drink parameter of the S200 steps includes trade company's industry and commerce
Degrees of comparison, trade company's sanitary grade, trade company's area scale, merchant staff size, trade company provide the species of food and drink, battalion of trade company
The time range of industry or trade company promote paying grade.
Preferably, described dining recommending method, the demander of the S300 steps and the distance parameter of supplier are really
Surely need to further discriminate between the following two kinds situation：The demander independently uses the food and drink commending system, or, third party uses
The food and drink commending system, remote assistance demander is inquired about, is placed an order, preengage or ordered takeaway.
Preferably, described dining recommending method, the S300 steps comprise the following steps：
S310：The parameter vector matrix isWherein, first be classified as 3 suppliers distance it is remote
Nearly sequence, second is classified as the user preference degree sequence of demander, and the 3rd trade company for being classified as 3 suppliers promotes paying grade.
Preferably, described dining recommending method, the S400 steps comprise the following steps：
S410：Introduce weight vectorsWherein, b1 represents the distance weighting, and b2 represents the user preference journey
Weight is spent, b3 represents the trade company and promotes paying weight；
S420：Obtain product vector
Wherein, c1, c2, c3 represent the numerical value of each food and drink trade company respectively,
Wherein, c1=a11*b1+a12*b2+a13*b3, c2=a21*b1+a22*b2+a23*b3, c3=a31*b1+
a32*b2+a33*b3；
S430：It is ranked up according to described c1, c2, c3 numerical values recited.
Preferably, comprise the following steps after described dining recommending method, the S400 steps：
S500：Specific trade company is selected to be placed an order, preengage or ordered takeaway operation from the recommendation food and drink ranking results.
The present embodiment also provides a kind of food and drink and recommends (trade company) system, and such as Fig. 2 is first embodiment of the invention system architecture
Shown in schematic diagram：
A kind of food and drink commending system, the food and drink commending system includes intelligent terminal 100 and food and drink recommendation network equipment
200,
The intelligent terminal, for logging in the food and drink recommendation network equipment, setting demander's food and drink parameter, setting demander's warp
Latitude information, retrieval food and drink merchant information, place an order, preengage or order takeaway；
The food and drink recommendation network equipment, for storing demander's food and drink parameter, supplier's food and drink parameter, parameter vector
Arrangement, vector matrix calculating, sequencing display result of calculation, receive described in place an order, preengage or order takeaway operation.
Preferably, described food and drink commending system, the intelligent terminal includes PC, NBK, PAD or Intelligent mobile equipment.
Preferably, described food and drink commending system, the equipment of food and drink recommendation network 200, such as Fig. 3 is real for the present invention first
Apply shown in a network equipment module diagram, including memory 210, vector calculation module 220, order module 230 and communication mould
Block 240,
The memory, for storing demander's food and drink parameter, supplier's food and drink parameter, historical operation record and map datum
Storehouse；
The vector calculation module, for by demander's food and drink parameter, supplier's food and drink parameter and demander and supplier away from
From parameter, parameter vector matrix is formed, and the parameter vector matrix is converted；
The order module, food and drink trade company (recommendation) ranking results for exporting the vector calculation module；
The communication module, for the output of the order module to be sent into the intelligent terminal.
Preferably, described food and drink commending system, the food and drink recommendation network equipment 200 also includes operation executing module
250, the operation executing module for receiving the operation that places an order, preengages or order takeaway from intelligent terminal, and notifies specific
Food and drink trade company be prepared, perform or reserve.
Second embodiment
With the development of internet, food and drink class APP has widely intervened the life of people.Dining room is either selected, cries outer
Sell, can all use APP to search.
Food and drink class APP, such as U.S. group, comment etc., enter substantial amounts of trade company.Customer need is found dining room or ordered takeaway
When, APP can be typically opened, is searched within the specific limits, so it is selected one, visit to have dinner or place an order and order take-away.
It is a kind of platform for servicing class in itself for service provider, trade company enters popularization, it is necessary to pay.And it is divided into not
Same grade.Grade is high, pays many, preferential to promote, and to be stood out during inquiry.Grade is low, pays few, is come during popularization
Back.Distance is combined simultaneously, and the factor of customer's hobby is stood out customer selecting is high, Gu is made as early as possible as far as possible
Visitor places an order.If customer can not find oneself needs in Query Result, other APP can be turned to, cause customer to be lost in.
Therefore, the result of inquiry will combine distance, and customer's hobby, food and drink client payment popularization situation carries out integrated ordered.
Present invention proposes a kind of result ranking scheme, customer is met as far as possible and is made a reservation needs.
The food and drink commending system of the present invention is, it is necessary to which according to distance, client's fancy grade, trade company's paid promotion situation is arranged
Sequence is shown.The present invention uses matrix-vector method, various conditions, is converted into vector, constitutes a vector matrix, and according to weight
Calculating obtains result vector.The result vector determines the displaying ranking results to customer.
There are several key parameters in commending system.
(1), distance.The parameter is used to mark customer current location to the air line distance in target dining room.Within the specific limits,
Such as three kilometer ranges, there are many families.According to distance from the near to the remote, it is ranked up, serial number is from 1 to maximum.
(2), customer's fancy grade sorts.This parameter depends on the historical data that client is made a reservation using the APP.Once ordered
Cross that number of times is relatively more, or ordered similar dining room, sort preceding.If many dining rooms or type did not all make a reservation for, make
It is randomly ordered for same rank.Serial number is from 1 to maximum.
(3), trade company's paid promotion situation.The paid promotion of trade company is ranked up.According to how many progress priority of paying
Sequence.Pay high trade company, stands out.
The present invention is put into various parameters in vector matrix, and various parameters are converted into the data of matrix, pass through moment of a vector
Battle array is multiplied with weight vectors, obtains result vector, and the vector determines the dining room list to present customers after final sequence.
First row represents distance-taxis in following matrixes, and secondary series represents fancy grade sequence, and the 3rd row represent paying and pushed away
Wide situation sequence.
Matrix-vector
A) weight vectors
Weight vectors
The vector is column vector, represents each parameters weighting when being listed in final calculating in parameter matrix A.More than 0 weight
Data are considered effective weight.Effective weight sum is 100.If a certain item weight is invalid, the weight is invalid weight, is set
For 0.
B1 represents distance weighting, and b2 table fancy grade weights from generation to generation, b3 represents paid promotion weight.
Each numerical value of effective weight is set according to historical statistical data.
B) product vector
Product vector
C1, c2, c3 represent the row vector of each operator and the parameter of weight vectors respectively.
Wherein c1=a11*b1+a12*b2+a13*b3, c2=a21*b1+a22*b2+a23*b3, c3=a31*b1+a32*
b2+a33*b3。
From the result, ascending according to end value is ranked up, and corresponding is dining room list, is illustrated in APP visitors
Family end.
Example is as follows：
By taking three dining rooms as an example, code name is respectively A1, A2, A3.
Sequentially it is from the close-by examples to those far off A3, A2, A1 according to the name placement of relative customer.
Customer removed A1, then A1, came fancy grade first, A2, A3 was not gone, and place type is not gone yet
Cross.Any sequence, is sequentially A1, A2, A3.
Sorted according to paid promotion situation, be sequentially A1, A3, A2
Therefore parameter vector matrix can be obtained
Assuming that weight vectors
A*B=C, can obtain result vector
There is result vector to draw, the restaurant search order shown at client APP ends is A3, A1, A2.
It is obvious to a person skilled in the art that the invention is not restricted to the details of above-mentioned one exemplary embodiment, Er Qie
In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, embodiment all should be regarded as exemplary, and be nonrestrictive, the scope of the present invention is by appended power
Profit is required rather than described above is limited, it is intended that all in the implication and scope of the equivalency of claim by falling
Change is included in the present invention.Any reference in claim should not be considered as to the claim involved by limitation.This
Outside, it is clear that the word of " comprising " one is not excluded for other units or step, and odd number is not excluded for plural number.That is stated in device claim is multiple
Unit or device can also be realized by a unit or device by software or hardware.The first, the second grade word is used for table
Show title, and be not offered as any specific order.
Claims (10)
1. a kind of dining recommending method, it is characterised in that methods described step includes：
S100：Obtain demander's food and drink parameter of food and drink commending system；
S200：Obtain supplier's food and drink parameter in the peripheral extent of appointed place in the food and drink commending system；
S300：By the distance parameter of demander's food and drink parameter, supplier's food and drink parameter and demander and supplier, parameter vector square is formed
Battle array；
S400：By the parameter vector matrix after conversion, output food and drink trade company ranking results.
2. dining recommending method according to claim 1, it is characterised in that demander's food and drink in the S100 steps
Parameter includes user's sex, user's native place, user's taste, user preference or number of meals.
3. dining recommending method according to claim 1, it is characterised in that supplier's food and drink ginseng of the S200 steps
Number includes the industrial and commercial degrees of comparison of trade company, trade company's sanitary grade, trade company's area scale, merchant staff size, trade company's offer meal
Species, the time range of trade company's business or the trade company of drink promote paying grade.
4. dining recommending method according to claim 1, it is characterised in that the demander and supplier of the S300 steps
The determination of distance parameter need to further discriminate between the following two kinds situation：The demander independently uses the food and drink commending system,
Or, third party uses the food and drink commending system, and remote assistance demander is inquired about, placed an order, preengage or ordered takeaway.
5. according to any described dining recommending method in Claims 1-4, it is characterised in that the S300 steps are included such as
Lower step：
S310：The parameter vector matrix isWherein, the first distance for being classified as 3 suppliers is arranged
Sequence, second is classified as the user preference degree sequence of demander, and the 3rd trade company for being classified as 3 suppliers promotes paying grade.
6. dining recommending method according to claim 5, it is characterised in that the S400 steps comprise the following steps：
S410：Introduce weight vectorsWherein, b1 represents the distance weighting, and b2 represents the user preference degree power
Weight, b3 represents the trade company and promotes paying weight；
S420：Obtain product vector
Wherein, c1, c2, c3 represent the numerical value of each food and drink trade company respectively,
Wherein, c1=a11*b1+a12*b2+a13*b3, c2=a21*b1+a22*b2+a23*b3, c3=a31*b1+a32*b2+
a33*b3；
S430：It is ranked up according to described c1, c2, c3 numerical values recited.
7. dining recommending method according to claim 1, it is characterised in that comprise the following steps after the S400 steps：
S500：Specific trade company is selected to be placed an order, preengage or ordered takeaway operation from the recommendation food and drink ranking results.
8. a kind of food and drink commending system, it is characterised in that the food and drink commending system includes intelligent terminal and food and drink recommendation network
Equipment,
The intelligent terminal, for logging in the food and drink recommendation network equipment, setting demander's food and drink parameter, setting demander's longitude and latitude
Information, retrieval food and drink merchant information, place an order, preengage or order takeaway；
The food and drink recommendation network equipment, for storing demander's food and drink parameter, supplier's food and drink parameter, parameter vectorization row
Row, vector matrix calculating, sequencing display result of calculation, receive described in place an order, preengage or order takeaway operation.
9. food and drink commending system according to claim 8, it is characterised in that the intelligent terminal include PC, NBK, PAD or
Person's Intelligent mobile equipment.
10. food and drink commending system according to claim 8, it is characterised in that the food and drink recommendation network equipment includes depositing
Reservoir, vector calculation module, order module and communication module,
The memory, for storing demander's food and drink parameter, supplier's food and drink parameter, historical operation record and map data base；
The vector calculation module, for the distance of demander's food and drink parameter, supplier's food and drink parameter and demander and supplier to be joined
Number, forms parameter vector matrix, and the parameter vector matrix is converted；
The order module, the food and drink trade company ranking results for exporting the vector calculation module；
The communication module, for the output of the order module to be sent into the intelligent terminal.
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108197970A (en) * | 2017-12-07 | 2018-06-22 | 无锡雅座在线科技股份有限公司 | The acquisition methods and device of Extension Model |
| CN108481344A (en) * | 2018-06-27 | 2018-09-04 | 深圳万发创新进出口贸易有限公司 | A kind of intellect service robot |
| CN108765028A (en) * | 2018-06-05 | 2018-11-06 | 闫景田 | A kind of more merchant advertisements take the realization method and system for directly promoting consumption to user |
| CN108921398A (en) * | 2018-06-14 | 2018-11-30 | 口口相传(北京)网络技术有限公司 | Shop quality evaluating method and device |
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104537027A (en) * | 2014-12-19 | 2015-04-22 | 百度在线网络技术（北京）有限公司 | Information recommendation method and device |
| CN104732429A (en) * | 2015-04-21 | 2015-06-24 | 上海商学院 | Modified huff model integrating brand preferences of consumers |
| CN105068869A (en) * | 2015-09-29 | 2015-11-18 | 北京网诺星云科技有限公司 | Method and device for pushing information in mobile terminal |
| CN105678653A (en) * | 2016-01-15 | 2016-06-15 | 卓圣斌 | Food and beverage service obtaining and providing method and device, and electronic terminal applying food and beverage service obtaining and providing method |
| CN105678654A (en) * | 2016-01-15 | 2016-06-15 | 卓圣斌 | Food and beverage service method and system |
| CN105681418A (en) * | 2016-01-15 | 2016-06-15 | 卓圣斌 | Catering service matching method and device and applied electronic terminal |
| CN105718576A (en) * | 2016-01-22 | 2016-06-29 | 西安电子科技大学 | Individual position recommending system related to geographical features |
| CN106153060A (en) * | 2016-07-13 | 2016-11-23 | 上海斐讯数据通信技术有限公司 | A kind of routing method and device |
| CN106408110A (en) * | 2016-08-26 | 2017-02-15 | 上海斐讯数据通信技术有限公司 | Method and system for scenic spot locking |
-
2017
- 2017-04-12 CN CN201710237580.XA patent/CN106951572A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104537027A (en) * | 2014-12-19 | 2015-04-22 | 百度在线网络技术（北京）有限公司 | Information recommendation method and device |
| CN104732429A (en) * | 2015-04-21 | 2015-06-24 | 上海商学院 | Modified huff model integrating brand preferences of consumers |
| CN105068869A (en) * | 2015-09-29 | 2015-11-18 | 北京网诺星云科技有限公司 | Method and device for pushing information in mobile terminal |
| CN105678653A (en) * | 2016-01-15 | 2016-06-15 | 卓圣斌 | Food and beverage service obtaining and providing method and device, and electronic terminal applying food and beverage service obtaining and providing method |
| CN105678654A (en) * | 2016-01-15 | 2016-06-15 | 卓圣斌 | Food and beverage service method and system |
| CN105681418A (en) * | 2016-01-15 | 2016-06-15 | 卓圣斌 | Catering service matching method and device and applied electronic terminal |
| CN105718576A (en) * | 2016-01-22 | 2016-06-29 | 西安电子科技大学 | Individual position recommending system related to geographical features |
| CN106153060A (en) * | 2016-07-13 | 2016-11-23 | 上海斐讯数据通信技术有限公司 | A kind of routing method and device |
| CN106408110A (en) * | 2016-08-26 | 2017-02-15 | 上海斐讯数据通信技术有限公司 | Method and system for scenic spot locking |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108197970A (en) * | 2017-12-07 | 2018-06-22 | 无锡雅座在线科技股份有限公司 | The acquisition methods and device of Extension Model |
| CN108765028A (en) * | 2018-06-05 | 2018-11-06 | 闫景田 | A kind of more merchant advertisements take the realization method and system for directly promoting consumption to user |
| CN108921398A (en) * | 2018-06-14 | 2018-11-30 | 口口相传(北京)网络技术有限公司 | Shop quality evaluating method and device |
| CN108481344A (en) * | 2018-06-27 | 2018-09-04 | 深圳万发创新进出口贸易有限公司 | A kind of intellect service robot |
| CN109241434A (en) * | 2018-09-17 | 2019-01-18 | 拉扎斯网络科技（上海）有限公司 | Object searching method and device, electronic equipment and computer-readable storage medium |
| CN109285597A (en) * | 2018-10-08 | 2019-01-29 | 北京健康有益科技有限公司 | A kind of dietotherapy recipe recommendation method, apparatus and readable medium |
| CN109472669A (en) * | 2018-10-30 | 2019-03-15 | 四川长虹电器股份有限公司 | A kind of healthy diet management system based on take-away |
| CN109615428A (en) * | 2018-12-10 | 2019-04-12 | 拉扎斯网络科技（上海）有限公司 | Merchant recommendation method, device, system and server |
| CN110097946B (en) * | 2019-03-01 | 2022-06-07 | 西安电子科技大学 | Diet recommendation method based on nutrient analysis |
| CN110097946A (en) * | 2019-03-01 | 2019-08-06 | 西安电子科技大学 | A kind of dietary recommendations continued method based on Analysis of Nutritive Composition |
| CN109801148A (en) * | 2019-03-28 | 2019-05-24 | 广州市格利网络技术有限公司 | The recommended method and device of reusable table ware |
| CN109801148B (en) * | 2019-03-28 | 2023-02-28 | 广州市格利网络技术有限公司 | Recommendation method and device for reusable catering tools |
| CN110851703A (en) * | 2019-09-30 | 2020-02-28 | 口碑(上海)信息技术有限公司 | Data processing method and device |
| CN111259265A (en) * | 2020-01-17 | 2020-06-09 | 首善京师(北京)教育科技有限公司 | Method for generating recommendation information |
| CN111259265B (en) * | 2020-01-17 | 2023-10-31 | 首善京师(北京)教育科技有限公司 | Recommendation information generation method |
| CN111506800A (en) * | 2020-02-18 | 2020-08-07 | 北京三快在线科技有限公司 | Merchant information display and management method, device and system and electronic equipment |
| CN111881341A (en) * | 2020-06-15 | 2020-11-03 | 合肥美的电冰箱有限公司 | Diet information recommendation method and device, electronic equipment and medium |
| CN114971818A (en) * | 2022-08-02 | 2022-08-30 | 广东志远科技有限公司 | Intelligent restaurant data storage processing method and system |
| CN114971818B (en) * | 2022-08-02 | 2023-04-28 | 广东志远科技有限公司 | Intelligent restaurant data storage processing method and system |
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