CN108280527A - A kind of catering information recommendation method based on big data - Google Patents
A kind of catering information recommendation method based on big data Download PDFInfo
- Publication number
- CN108280527A CN108280527A CN201810184543.1A CN201810184543A CN108280527A CN 108280527 A CN108280527 A CN 108280527A CN 201810184543 A CN201810184543 A CN 201810184543A CN 108280527 A CN108280527 A CN 108280527A
- Authority
- CN
- China
- Prior art keywords
- businessman
- user
- client
- section
- food
- 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.)
- Withdrawn
Links
- 238000000034 method Methods 0.000 title claims abstract description 49
- 235000013305 food Nutrition 0.000 claims abstract description 86
- 235000013361 beverage Nutrition 0.000 claims description 25
- 238000002360 preparation method Methods 0.000 claims description 6
- 238000012163 sequencing technique Methods 0.000 claims description 6
- 238000000205 computational method Methods 0.000 claims description 4
- 235000013399 edible fruits Nutrition 0.000 claims description 4
- 238000010606 normalization Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000012986 modification Methods 0.000 claims description 3
- 230000004048 modification Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 4
- 235000012054 meals Nutrition 0.000 description 3
- 238000004590 computer program Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- SBNFWQZLDJGRLK-UHFFFAOYSA-N phenothrin Chemical compound CC1(C)C(C=C(C)C)C1C(=O)OCC1=CC=CC(OC=2C=CC=CC=2)=C1 SBNFWQZLDJGRLK-UHFFFAOYSA-N 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- 201000004569 Blindness Diseases 0.000 description 1
- 240000007594 Oryza sativa Species 0.000 description 1
- 235000007164 Oryza sativa Nutrition 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 235000014594 pastries Nutrition 0.000 description 1
- 238000004153 renaturation Methods 0.000 description 1
- 235000009566 rice Nutrition 0.000 description 1
- 238000007711 solidification Methods 0.000 description 1
- 230000008023 solidification Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/02—Reservations, e.g. for tickets, services or events
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/12—Hotels or restaurants
Landscapes
- Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention provides a kind of catering information recommendation method based on big data, the number of having dinner based on user, business trust value, businessman client's scoring and the real-time range of businessman and client are that user pushes the Business Information met the requirements to this method simultaneously, the dining recommending method has considered a variety of factors of having dinner, the diversified food and drink demand of user is met, the success rate and precision of food and drink recommendation are improved；In addition, real time position of this method with reference to user, carries out the recommendation update of catering information in real time, user locations variation and strange land food and drink demand in real time are met；Finally, this method considers the real-time volume of the flow of passengers of food and drink businessman in food and drink recommendation process, the long problem of stand-by period caused by avoiding the information asymmetry of user.
Description
Technical field
The present invention relates to the technical fields that big data cloud computing and catering information are recommended, more particularly to one kind being based on big data
Catering information recommend method.
Background technology
Consumer goes to restaurant to have a meal, and is left again to checkout to consumption from decision is chosen, the process of this row from the past till now
All it is a logical order that will not be changed to future, and mobile Internet change now, it is to be provided more just for consumption
Prompt, more believable selection so that he makes most fast, most accurate decision, experiences better service.O2O patterns contribute to
New client finds in food and beverage enterprise, develops new product to meet customer need；Customer information is accurate, timely, inexpensive on line
Search and collection be also convenient for business to customer resource carry out active positive exploitation.It can be said that O2O patterns will promote food and drink
The combination of industry online and offline business accelerates Industry Innovation.
Universal with the use of intelligent terminal, types of applications (APP) also increases significantly, and facility, food and drink are brought to user
Class APP is a kind of APP being commonly used in user's daily life.The Catering Pubs under all kinds of lines are summarized on food and drink class APP
Relevant information, for example, the available food and drink merchandise news in shop, store address, shop telephone number, shop are preferential etc..Wherein,
Catering Pubs can be restaurant, beverage store, Western-style pastry shop etc..In the prior art, food and drink class APP is in order to facilitate the use of the user, past
Toward meeting according to user's present position, recommend the food and drink merchandise news of Catering Pubs nearby, specific recommendation side for the user
Formula is usually：Recommend food and drink merchandise news more popular in Catering Pubs.For example, to Mr. Yu family restaurant, can recommend to user
A few dish information that the restaurant point single numerical digit is occupied the forefront.But due to food and drink commodity letter more popular in Catering Pubs
Breath is usually relatively fixed, and therefore, the food and drink merchandise news way of recommendation based on the prior art is past for same Catering Pubs
It can recommend identical food and drink merchandise news to user always toward in longer period of time, for a user the weight of recommendation information
Renaturation is higher, can waste the resource of food and drink class APP.
In view of the above-mentioned problems, history dining place forms data corresponding food and drink commodity of the document CN107093124A according to user
Each decomposing element information in one or more decomposing element information, to the user individual recommend correspond to described one kind
Or the food and drink merchandise news of a variety of decomposing element information, the repeatability of recommendation information is advantageously reduced, is also beneficial to reduce food and drink
The wasting of resources of class APP.
However, there is also many defects for the above method, first, although the above method can help user that food and drink is recommended to believe
Breath, but due to only carrying out analysis recommendation only in accordance with historical data, the food and drink data recommended can make the recommending data of user due to
There is unification and solidification in historical information, cannot be satisfied the demand that user has a taste of a delicacy；Secondly as the above method is believed according to history
What breath was recommended, when user reaches a new place, above-mentioned recommendation is invalid, cannot be satisfied the food and drink of user strange land
Demand；Finally, even if user obtains food and drink demand in conventional place, but since the above method can not assess the food and drink businessman of recommendation
The real-time volume of the flow of passengers to which user can be made to wait in line caused by the food and drink businessman that blindness selection is recommended, and then influences user's
Food and drink is experienced.
Invention content
The present invention provides a kind of catering information recommendation method based on big data, and described method includes following steps：
S1, user log in catering information service client, and the catering information service client registers with multiple online and offline
Food and drink businessman；If food and beverage sevice under user's selection line, the catering information service client obtains the user's
Real-time position information, and the user is prompted to input number of having dinner, business trust value section, businessman client's scoring section, distance
Section, the catering information service client score the number of having dinner, business trust value section, the businessman client
Section and it is described upload to big data server apart from section, and enter step S2；
S2, the big data server score business trust value section, the businessman client section and the distance regions
Between with the credit value of stored all businessmans, the businessman client scoring and the distance be compared, if there is
The businessman for meeting all sections, then enter step S3；If not meeting the businessman in all sections, described in prompt
User re-enters business trust value section, the businessman client scores section and described apart from section；
S3, the big data server send real-time volume of the flow of passengers solicited messages, institute to all businessmans for meeting section requirement
State businessman client receive the real-time volume of the flow of passengers solicited message after, the current vacant table information of the businessman is sent
To the big data server；
S4, the big data server compare the vacant table information and the number information input by user that has dinner, if
The vacant table disclosure satisfy that having dinner for the number, then the user is prompted to preengage the table；If the sky
It is impossible to meet the number to have dinner for remaining table, then the user is prompted to replace reservation businessman.
As a preferred embodiment, further including：
The catering information service client obtains the real-time position information of the user, and the businessman in real time will current vacant table
Position information is sent to the big data server；
It is that the user shows have dinner described in satisfaction number, the number of having dinner, business trust value section, the quotient in real time
Family client scoring section and the Business Information apart from section.
If as a preferred embodiment, the vacant table disclosure satisfy that having dinner for the number,
It prompts the user to preengage the table, further includes：
If the vacant table disclosure satisfy that having dinner for the number, the user is prompted to preengage the table；
After the user preengages the table, the client of the businessman is sent to the client of the user successfully preengages the table
Prompt message, and to user's pushing menu information, order so that the user carries out reservation according to the menu.
As a preferred embodiment, the user logs in catering information service client, the catering information clothes
Business client registers have multiple online and offline food and drink businessmans, further include：
If food and beverage sevice in user's selection line, the catering information service client obtains the real-time position of the user
Confidence ceases, and user's input is prompted to may wait for time, business trust value section, businessman client's scoring section, the food and drink
Information service client end by it is described may wait for the time, business trust value section, the businessman client score section upload to
Big data server；
The big data server scores business trust value section and the businessman client section and stored institute
The credit value and businessman client scoring for having the businessman are compared, obtain meeting the businessman client score section with
Stored all businessmans obtain preparation duration of making a reservation on the location information and its line of the businessman, and according to the use
The real-time position information at family and the positional information calculation of the businessman dispense duration, prepare duration and institute according to making a reservation on the line
It states dispatching duration to judge whether to may wait for the time described in satisfaction, if may wait for the time described in meeting, be pushed to the user
Food and beverage sevice on the line of the businessman；If all businessmans may wait for the time described in being unsatisfactory for, carried to the user
Show and may wait for time, business trust value section and businessman client scoring section described in user's modification, with again
Food and drink merchant search on into line.
As a preferred embodiment, described prepare duration and dispatching duration judgement according to making a reservation on the line
The time is may wait for described in whether meeting, is specifically included：
The preparation duration that will make a reservation on the line is added with the dispatching duration to be judged whether to may wait for the time less than or equal to described, such as
Fruit is then to may wait for the time described in satisfaction；If it is not, then may wait for the time described in being unsatisfactory for.
As a preferred embodiment, further including：
The catering information service client prompts the user to input acceptable dispatching distance；
All businessmans that may wait for the time described in meeting are obtained, according to the real-time position of the location information of the businessman and the user
Confidence breath calculates whether meet the acceptable dispatching distance, if meeting the acceptable dispatching distance, to described
User pushes food and beverage sevice on the line of the businessman；If all businessmans that may wait for the time described in all satisfactions are unsatisfactory for institute
Acceptable dispatching distance is stated, then prompts the user to change the dispatching distance of the receiving to the user, to re-start
Food and drink merchant search on line.
As a preferred embodiment, described push food and beverage sevice on the line of the businessman to the user, specifically
Including：
Receive the user according to it is described may wait for the time, business trust value section, the businessman client score section and
The display sorting operation of the acceptable dispatching distance, and the businessman met the requirements is carried out according to the sorting operation
Sequencing display, the sequencing display include that sequence display and inverted order are shown.
As a preferred embodiment, described push food and beverage sevice on the line of the businessman to the user, specifically
Including：
Client for the stand-by period A of each businessman met the requirements, the credit value B of the businessman, the businessman comments
Divide the dispatching distance D of C and the businessman that corresponding weighted value Z1, Z2, Z3, Z4 is respectively set, and calculates the recommendation of the businessman
Comprehensive score W, the computational methods of the recommendation comprehensive score W are W=A*Z1+B*Z2+C*Z3+D*Z4；It is integrated according to the recommendation
Scoring W is ranked up display to the businessman met the requirements.
As a preferred embodiment, the stand-by period A for each businessman met the requirements, described
The credit value B of businessman, the businessman client score C and the businessman dispatching distance D be respectively set corresponding weighted value Z1,
Z2, Z3, Z4 are specifically included：
The stand-by period A, the credit value B, the businessman client scoring C and dispatching distance D are scaled normalization
Numerical value；
According to the make a reservation input of information or user of the hobby of the user, history, described weighted value Z1, Z2, Z3, Z4 are set.
The present invention provides a kind of catering information recommendation method based on big data, this method while the people that has dinner based on user
Number, business trust value, businessman client's scoring and the real-time range of businessman and client are businessman's letter that user's push is met the requirements
Breath, the dining recommending method have considered a variety of factors of having dinner, have met the diversified food and drink demand of user, improve food and drink
The success rate and precision of recommendation；In addition, real time position of this method with reference to user, carries out the recommendation of catering information in real time
Update meets user locations and changes and strange land food and drink demand in real time；Finally, this method considers in food and drink recommendation process
The real-time volume of the flow of passengers of food and drink businessman, the long problem of stand-by period caused by avoiding the information asymmetry of user.
Description of the drawings
Technical solution in order to illustrate the embodiments of the present invention more clearly, below will be to institute in embodiment and description of the prior art
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the present invention
Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the schematic diagram that a kind of catering information based on big data of the present invention recommends a kind of embodiment of method.
Specific implementation mode
The embodiment further illustrated the present invention below in conjunction with attached drawing.
Embodiment one：
As shown in Figure 1, the present invention provides a kind of catering information recommendation method based on big data, the method includes walking as follows
Suddenly：
S1, user log in catering information service client, and the catering information service client registers with multiple online and offline
Food and drink businessman；If food and beverage sevice under user's selection line, the catering information service client obtains the user's
Real-time position information, and the user is prompted to input number of having dinner, business trust value section, businessman client's scoring section, distance
Section, the catering information service client score the number of having dinner, business trust value section, the businessman client
Section and it is described upload to big data server apart from section, and enter step S2；It should be noted that it is illustrative, it is described
Catering information service client not only has the function of to make a reservation on line, also has the function of to preengage position under line and order；In the use
Family carry out food and beverage sevice before, need user to make a reservation on line and line under reservation function carry out selection operation, with enter corresponding meal
Drink service mode.In addition, the present invention obtains the real-time position information of the user, which can be according to user's
Position movement carries out the real-time update of position, and then the update operation of food and beverage sevice is carried out according to the real-time position information, in real time
Progress catering information recommendation update, meet user locations in real time change and strange land food and drink demand.In addition, this method is simultaneously
Number of having dinner, business trust value, businessman client's scoring and the real-time range of businessman and client based on user push for user
The Business Information met the requirements, the dining recommending method have considered a variety of factors of having dinner, and meet the diversified meal of user
Drink demand improves the success rate and precision of food and drink recommendation.
S2, the big data server by business trust value section, the businessman client score section and it is described away from
It scores with the credit value of stored all businessmans, the businessman client from section and is compared with a distance from described, such as
Fruit has the businessman for meeting all sections, then enters step S3；If not meeting the businessman in all sections, prompt
The user re-enters business trust value section, the businessman client scores section and described apart from section；It needs
It is bright, the big data server storage have the credit value of all authentication registration businessmans, businessman client scoring and businessman position
Confidence ceases, and calculates real-time range based on the location information and the real time position of the user, the big data server will be described
Score section and the letter apart from section and stored all businessmans for business trust value section, the businessman client
It is compared with value, businessman client scoring and the real-time range, that is, carries out matching degree calculating, meet the use to obtain
The Business Information of family demand.Therefore, user can be according to the taste demand of oneself, time demand, businessman's history evaluation demand etc.
Information is flexibly arranged, and to filter out the businessman's progress food and beverage sevice for best suiting oneself requirement, which thereby enhances food and beverage sevice
Accuracy and matching efficiency, saved user time, improve user food and drink experience.In addition, user can be with real time modifying
Above-mentioned business trust value section, the businessman client are scored section and described apart from section, flexibly to make adjustment.
S3, the big data server meet the real-time volume of the flow of passengers request letter of businessman transmission that section requires to all
After the client of the businessman receives the real-time volume of the flow of passengers solicited message, the current vacant table of the businessman is believed for breath
Breath is sent to the big data server；It should be noted that the above-mentioned successful match met in section requirement as step S2；
At this point, in order to protect the volume of the flow of passengers privacy information of businessman, the real-time volume of the flow of passengers information for the businessman that the big data server obtains
The mandate by the businessman is needed, and the number or frequency for obtaining the real-time volume of the flow of passengers information can be set by businessman；It is exemplary
, which includes vacant table information, and the vacant table information includes the quantity of vacant table and each
The number of having dinner of table.
S4, the big data server compare the vacant table information and the number information input by user that has dinner,
If the vacant table disclosure satisfy that having dinner for the number, the user is prompted to preengage the table；If the institute
Vacant table having dinner it is impossible to meet the number is stated, then the user is prompted to replace reservation businessman.It should be noted that being
The stand-by period of user is saved, the user obtains the vacant table in the real-time volume of the flow of passengers information for the businessman that above-mentioned matching obtains
Position information, the vacant table information includes the quantity of vacant table and the number of having dinner of each table；The big data service
Device is only the judging result information whether user's push meets the number of having dinner and table quantity demand, is thus not only met
User obtains the demand of stand-by period, while the leakages of the privacy informations such as volume of the flow of passengers for avoiding businessman.In addition, in vacant table
In the case that position disclosure satisfy that the having dinner of the number, the user is prompted to preengage the table, to realize that online seats in a restaurant is pre-
About function, and then improve the efficiency having dinner.
As a preferred embodiment, further including：
The catering information service client obtains the real-time position information of the user, and the businessman in real time will current vacant table
Position information is sent to the big data server；
It is that the user shows have dinner described in satisfaction number, the number of having dinner, business trust value section, the quotient in real time
Family client scoring section and the Business Information apart from section.It should be noted that the real-time position information can according to
The position movement at family carries out the real-time update of position, and then the update operation of food and beverage sevice is carried out according to the real-time position information,
The recommendation update for carrying out catering information in real time meets user locations variation and strange land food and drink demand in real time.In addition, described big
Data server is stored with the food and drink subscription-related information of each authentication registration businessman, so that the user carries out inquiry behaviour
Make, which obtains by big data server after safety and privacy filtering.
If as a preferred embodiment, the vacant table disclosure satisfy that having dinner for the number,
It prompts the user to preengage the table, further includes：
If the vacant table disclosure satisfy that having dinner for the number, the user is prompted to preengage the table；Described
After user preengages the table, the client of the businessman is sent to the client of the user successfully preengages carrying for the table
Show information, and to user's pushing menu information, orders so that the user carries out reservation according to the menu.It needs to illustrate
, the above embodiment it is merely illustrative list the case where number of having dinner meets user demand, further, it is also possible to be just
The quantity of dining table and the number of having dinner that accommodates of each table meet user demand；Further, user can also voluntarily set
Its fixed location information can also be that other users reservation is made a reservation, not be limited herein.In addition, after user successfully preengages table,
It has dinner to further facilitate user, online function of ordering is provided to the user at this time, to improve efficiency of making a reservation, to realize
When user reaches the businessman, its menu food product is ready for, and achievees the effect that improve food and drink convenience to greatest extent.
As a preferred embodiment, the user logs in catering information service client, the catering information clothes
Business client registers have multiple online and offline food and drink businessmans, further include：
If food and beverage sevice in user's selection line, the catering information service client obtains the real-time position of the user
Confidence ceases, and user's input is prompted to may wait for time, business trust value section, businessman client's scoring section, the food and drink
Information service client end by it is described may wait for the time, business trust value section, the businessman client score section upload to
Big data server；
The big data server scores business trust value section and the businessman client section and stored institute
The credit value and businessman client scoring for having the businessman are compared, obtain meeting the businessman client score section with
Stored all businessmans obtain preparation duration of making a reservation on the location information and its line of the businessman, and according to the use
The real-time position information at family and the positional information calculation of the businessman dispense duration, prepare duration and institute according to making a reservation on the line
It states dispatching duration to judge whether to may wait for the time described in satisfaction, if may wait for the time described in meeting, be pushed to the user
Food and beverage sevice on the line of the businessman；If all businessmans may wait for the time described in being unsatisfactory for, carried to the user
Show and may wait for time, business trust value section and businessman client scoring section described in user's modification, with again
Food and drink merchant search on into line.
It should be noted that the present invention is not only provided online to preengage function of ordering under line, food and beverage sevice on line is also provided
The function of putting take-away, which thereby enhances the diversified demand ordered.At this point, on line food and beverage sevice use with it is online for line under in advance
Functionally similar mode of about ordering is implemented, and this will not be repeated here；Unlike, here first to the business trust value area of user's restriction
Between and businessman client section of scoring carry out businessman's matching, carry out that may wait for the time again according to the matching result
Match, to obtain the requirement for meeting user demand.
As a preferred embodiment, described prepare duration and dispatching duration judgement according to making a reservation on the line
The time is may wait for described in whether meeting, is specifically included：
The preparation duration that will make a reservation on the line is added with the dispatching duration to be judged whether to may wait for the time less than or equal to described, such as
Fruit is then to may wait for the time described in satisfaction；If it is not, then may wait for the time described in being unsatisfactory for.
As a preferred embodiment, further including：
The catering information service client prompts the user to input acceptable dispatching distance；
All businessmans that may wait for the time described in meeting are obtained, according to the real-time position of the location information of the businessman and the user
Confidence breath calculates whether meet the acceptable dispatching distance, if meeting the acceptable dispatching distance, to described
User pushes food and beverage sevice on the line of the businessman；If all businessmans that may wait for the time described in all satisfactions are unsatisfactory for institute
Acceptable dispatching distance is stated, then prompts the user to change the dispatching distance of the receiving to the user, to re-start
Food and drink merchant search on line.It should be noted that here first to user limit business trust value section and the businessman client
Scoring section carries out businessman's matching, the matching that may wait for the time is carried out again according to the matching result, finally to acceptable
Dispatching distance is matched, to obtain the requirement for meeting user demand；It can be seen that by increasing matched condition, raising is realized
Effect with degree, and then realize precisely search and match.
As a preferred embodiment, described push food and beverage sevice on the line of the businessman to the user, specifically
Including：
Receive the user according to it is described may wait for the time, business trust value section, the businessman client score section and
The display sorting operation of the acceptable dispatching distance, and the businessman met the requirements is carried out according to the sorting operation
Sequencing display, the sequencing display include that sequence display and inverted order are shown.It should be noted that user can be by described in click
It is corresponding to may wait for time, business trust value section, businessman client scoring section and the acceptable dispatching distance
Any one control, realize being adjusted flexibly for ranking function, meet the diversified selection demand of user.
As a preferred embodiment, described push food and beverage sevice on the line of the businessman to the user, specifically
Including：
Client for the stand-by period A of each businessman met the requirements, the credit value B of the businessman, the businessman comments
Divide the dispatching distance D of C and the businessman that corresponding weighted value Z1, Z2, Z3, Z4 is respectively set, and calculates the recommendation of the businessman
Comprehensive score W, the computational methods of the recommendation comprehensive score W are W=A*Z1+B*Z2+C*Z3+D*Z4；It is integrated according to the recommendation
Scoring W is ranked up display to the businessman met the requirements.It should be noted that the sum of aforementioned four weighted value is one；On
The multinomial demand information for recommending comprehensive score to consider user to businessman is stated, the diversified food and drink demand of user is met,
Improve the success rate and precision of food and drink recommendation.
As a preferred embodiment, the stand-by period A for each businessman met the requirements, described
The credit value B of businessman, the businessman client score C and the businessman dispatching distance D be respectively set corresponding weighted value Z1,
Z2, Z3, Z4 are specifically included：
The stand-by period A, the credit value B, the businessman client scoring C and dispatching distance D are scaled normalization
Numerical value；According to the make a reservation input of information or user of the hobby of the user, history, described weighted value Z1, Z2, Z3, Z4 are set.
It should be noted that illustrative, the computational methods of above-mentioned normalization numerical value are：Stand-by period A=the waiting point
Clock number/60, wherein 60 be 60 minutes meanings；Credit value B=credit value/100, wherein 100 be the full marks of credit value；Institute
Businessman client's scoring C=client's scoring/100 is stated, wherein 100 full marks to score for client；The dispatching distance D=apart from rice/
1000, wherein 1000 be the meaning of 1KM.It is achieved in the mark that different businessmans is scaled unified measurement unit, and then compares
It is accurate consistent.
The present invention provides a kind of catering information recommendation method based on big data, this method while the people that has dinner based on user
Number, business trust value, businessman client's scoring and the real-time range of businessman and client are businessman's letter that user's push is met the requirements
Breath, the dining recommending method have considered a variety of factors of having dinner, have met the diversified food and drink demand of user, improve food and drink
The success rate and precision of recommendation；In addition, real time position of this method with reference to user, carries out the recommendation of catering information in real time
Update meets user locations and changes and strange land food and drink demand in real time；Finally, this method considers in food and drink recommendation process
The real-time volume of the flow of passengers of food and drink businessman, the long problem of stand-by period caused by avoiding the information asymmetry of user.
Those skilled in the art of the present technique be appreciated that can with computer program instructions come realize these structure charts and/or
The combination of each frame and these structure charts and/or the frame in block diagram and/or flow graph in block diagram and/or flow graph.It can be by this
A little computer program instructions are supplied to the processor of all-purpose computer, special purpose computer or other programmable data processing methods
Machine is generated, is used for be performed instruction by the processor of computer or other programmable data processing methods and create
Realize the method specified in the frame or multiple frames of structure chart and/or block diagram and/or flow graph.
Those skilled in the art of the present technique are appreciated that in the various operations crossed by discussion in the present invention, method, flow
Steps, measures, and schemes can be replaced, changed, combined or be deleted.Further, each with having been crossed by discussion in the present invention
Other steps, measures, and schemes in kind operation, method, flow may also be alternated, changed, rearranged, decomposed, combined or deleted.
Further, in the prior art to have and step, measure, the scheme in various operations, method, flow disclosed in the present invention
It may also be alternated, changed, rearranged, decomposed, combined or deleted.
Example the above is only the implementation of the present invention is not intended to limit the scope of the invention, every to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (9)
1. a kind of catering information based on big data recommends method, which is characterized in that described method includes following steps：
S1, user log in catering information service client, and the catering information service client registers with multiple online and offline
Food and drink businessman；If food and beverage sevice under user's selection line, the catering information service client obtains the user's
Real-time position information, and the user is prompted to input number of having dinner, business trust value section, businessman client's scoring section, distance
Section, the catering information service client score the number of having dinner, business trust value section, the businessman client
Section and it is described upload to big data server apart from section, and enter step S2；
S2, the big data server score business trust value section, the businessman client section and the distance regions
Between with the credit value of stored all businessmans, the businessman client scoring and the distance be compared, if there is
The businessman for meeting all sections, then enter step S3；If not meeting the businessman in all sections, described in prompt
User re-enters business trust value section, the businessman client scores section and described apart from section；
S3, the big data server send real-time volume of the flow of passengers solicited messages, institute to all businessmans for meeting section requirement
State businessman client receive the real-time volume of the flow of passengers solicited message after, the current vacant table information of the businessman is sent
To the big data server；
S4, the big data server compare the vacant table information and the number information input by user that has dinner, if
The vacant table disclosure satisfy that having dinner for the number, then the user is prompted to preengage the table；If the sky
It is impossible to meet the number to have dinner for remaining table, then the user is prompted to replace reservation businessman.
2. according to the method described in claim 1, it is characterized in that, further including：
The catering information service client obtains the real-time position information of the user, and the businessman in real time will current vacant table
Position information is sent to the big data server；
It is that the user shows have dinner described in satisfaction number, the number of having dinner, business trust value section, the quotient in real time
Family client scoring section and the Business Information apart from section.
3. if according to the method described in claim 1, it is characterized in that, the vacant table disclosure satisfy that the number
Have dinner, then prompt the user to preengage the table, further include：
If the vacant table disclosure satisfy that having dinner for the number, the user is prompted to preengage the table；
After the user preengages the table, the client of the businessman is sent to the client of the user successfully preengages the table
Prompt message, and to user's pushing menu information, order so that the user carries out reservation according to the menu.
4. according to the method described in claim 1, it is characterized in that, user login catering information service client, described
Catering information service client registers with multiple online and offline food and drink businessmans, further includes：
If food and beverage sevice in user's selection line, the catering information service client obtains the real-time position of the user
Confidence ceases, and user's input is prompted to may wait for time, business trust value section, businessman client's scoring section, the food and drink
Information service client end by it is described may wait for the time, business trust value section, the businessman client score section upload to
Big data server；
The big data server scores business trust value section and the businessman client section and stored institute
The credit value and businessman client scoring for having the businessman are compared, obtain meeting the businessman client score section with
Stored all businessmans obtain preparation duration of making a reservation on the location information and its line of the businessman, and according to the use
The real-time position information at family and the positional information calculation of the businessman dispense duration, prepare duration and institute according to making a reservation on the line
It states dispatching duration to judge whether to may wait for the time described in satisfaction, if may wait for the time described in meeting, be pushed to the user
Food and beverage sevice on the line of the businessman；If all businessmans may wait for the time described in being unsatisfactory for, carried to the user
Show and may wait for time, business trust value section and businessman client scoring section described in user's modification, with again
Food and drink merchant search on into line.
5. according to the method described in claim 4, it is characterized in that, described prepare duration and described match according to making a reservation on the line
It send duration to judge whether to may wait for the time described in satisfaction, specifically includes：
The preparation duration that will make a reservation on the line is added with the dispatching duration to be judged whether to may wait for the time less than or equal to described, such as
Fruit is then to may wait for the time described in satisfaction；If it is not, then may wait for the time described in being unsatisfactory for.
6. according to the method described in claim 5, it is characterized in that, further including：
The catering information service client prompts the user to input acceptable dispatching distance；
All businessmans that may wait for the time described in meeting are obtained, according to the real-time position of the location information of the businessman and the user
Confidence breath calculates whether meet the acceptable dispatching distance, if meeting the acceptable dispatching distance, to described
User pushes food and beverage sevice on the line of the businessman；If all businessmans that may wait for the time described in all satisfactions are unsatisfactory for institute
Acceptable dispatching distance is stated, then prompts the user to change the dispatching distance of the receiving to the user, to re-start
Food and drink merchant search on line.
7. according to the method described in claim 6, it is characterized in that, described push food and drink on the line of the businessman to the user
Service, specifically includes：
Receive the user according to it is described may wait for the time, business trust value section, the businessman client score section and
The display sorting operation of the acceptable dispatching distance, and the businessman met the requirements is carried out according to the sorting operation
Sequencing display, the sequencing display include that sequence display and inverted order are shown.
8. according to the method described in claim 6, it is characterized in that, described push food and drink on the line of the businessman to the user
Service, specifically includes：
Client for the stand-by period A of each businessman met the requirements, the credit value B of the businessman, the businessman comments
Divide the dispatching distance D of C and the businessman that corresponding weighted value Z1, Z2, Z3, Z4 is respectively set, and calculates the recommendation of the businessman
Comprehensive score W, the computational methods of the recommendation comprehensive score W are W=A*Z1+B*Z2+C*Z3+D*Z4；It is integrated according to the recommendation
Scoring W is ranked up display to the businessman met the requirements.
9. according to the method described in claim 8, it is characterized in that, the waiting for each businessman met the requirements
Correspondence is respectively set in time A, the credit value B of the businessman, the client scoring C of the businessman and the dispatching distance D of the businessman
Weighted value Z1, Z2, Z3, Z4, specifically include：
The stand-by period A, the credit value B, the businessman client scoring C and dispatching distance D are scaled normalization
Numerical value；
According to the make a reservation input of information or user of the hobby of the user, history, described weighted value Z1, Z2, Z3, Z4 are set.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810184543.1A CN108280527A (en) | 2018-03-07 | 2018-03-07 | A kind of catering information recommendation method based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810184543.1A CN108280527A (en) | 2018-03-07 | 2018-03-07 | A kind of catering information recommendation method based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108280527A true CN108280527A (en) | 2018-07-13 |
Family
ID=62809216
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810184543.1A Withdrawn CN108280527A (en) | 2018-03-07 | 2018-03-07 | A kind of catering information recommendation method based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108280527A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN109360041A (en) * | 2018-09-03 | 2019-02-19 | 拉扎斯网络科技（上海）有限公司 | Merchant display method and device, electronic equipment and storage medium |
| CN109360042A (en) * | 2018-09-03 | 2019-02-19 | 拉扎斯网络科技（上海）有限公司 | Order allocation method and device, electronic equipment and storage medium |
| CN109697636A (en) * | 2018-12-27 | 2019-04-30 | 拉扎斯网络科技（上海）有限公司 | Merchant recommendation method, merchant recommendation device, electronic equipment and medium |
| CN109784653A (en) * | 2018-12-14 | 2019-05-21 | 口碑(上海)信息技术有限公司 | One kind is prepared for a meal method, apparatus and system |
| CN110288426A (en) * | 2019-06-05 | 2019-09-27 | 达疆网络科技(上海)有限公司 | A kind of determination method of shops's state under O2O scene |
| CN110738441A (en) * | 2019-09-03 | 2020-01-31 | 熊维淑 | commodity predetermined distribution method and system based on Internet |
| CN110750709A (en) * | 2019-01-04 | 2020-02-04 | 北京嘀嘀无限科技发展有限公司 | Service recommendation method and device |
| CN110809024A (en) * | 2019-09-27 | 2020-02-18 | 口碑(上海)信息技术有限公司 | Service resource providing method and device and subscription package providing method and device |
| CN114169785A (en) * | 2021-12-13 | 2022-03-11 | 金螳螂家装电子商务（苏州）有限公司 | Home decoration content accurate pushing method |
| CN118037141A (en) * | 2024-04-15 | 2024-05-14 | 中国标准化研究院 | Digital comprehensive evaluation method and system for catering enterprises |
-
2018
- 2018-03-07 CN CN201810184543.1A patent/CN108280527A/en not_active Withdrawn
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109360041A (en) * | 2018-09-03 | 2019-02-19 | 拉扎斯网络科技（上海）有限公司 | Merchant display method and device, electronic equipment and storage medium |
| CN109360042A (en) * | 2018-09-03 | 2019-02-19 | 拉扎斯网络科技（上海）有限公司 | Order allocation method and device, electronic equipment and storage medium |
| 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 |
| CN109784653A (en) * | 2018-12-14 | 2019-05-21 | 口碑(上海)信息技术有限公司 | One kind is prepared for a meal method, apparatus and system |
| CN109697636A (en) * | 2018-12-27 | 2019-04-30 | 拉扎斯网络科技（上海）有限公司 | Merchant recommendation method, merchant recommendation device, electronic equipment and medium |
| CN110750709A (en) * | 2019-01-04 | 2020-02-04 | 北京嘀嘀无限科技发展有限公司 | Service recommendation method and device |
| CN110288426A (en) * | 2019-06-05 | 2019-09-27 | 达疆网络科技(上海)有限公司 | A kind of determination method of shops's state under O2O scene |
| CN110738441A (en) * | 2019-09-03 | 2020-01-31 | 熊维淑 | commodity predetermined distribution method and system based on Internet |
| CN110738441B (en) * | 2019-09-03 | 2024-02-27 | 熊维淑 | Commodity reservation distribution method and system based on Internet |
| CN110809024A (en) * | 2019-09-27 | 2020-02-18 | 口碑(上海)信息技术有限公司 | Service resource providing method and device and subscription package providing method and device |
| CN110809024B (en) * | 2019-09-27 | 2022-06-24 | 口碑(上海)信息技术有限公司 | Service resource providing method and device and subscription package providing method and device |
| CN114169785A (en) * | 2021-12-13 | 2022-03-11 | 金螳螂家装电子商务（苏州）有限公司 | Home decoration content accurate pushing method |
| CN118037141A (en) * | 2024-04-15 | 2024-05-14 | 中国标准化研究院 | Digital comprehensive evaluation method and system for catering enterprises |
| CN118037141B (en) * | 2024-04-15 | 2024-07-02 | 中国标准化研究院 | Digital comprehensive evaluation method and system for catering enterprises |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108305155A (en) | A kind of catering information commending system based on big data | |
| CN108280527A (en) | A kind of catering information recommendation method based on big data | |
| US20230042931A1 (en) | Menu Personalization | |
| US10546344B2 (en) | Dynamically modifiable user interface | |
| CN105701108B (en) | A kind of information recommendation method, device and server | |
| WO2020219462A1 (en) | Methods and systems for generating restaurant recommendations | |
| JP7578890B2 (en) | Information processing device, information processing method, and program | |
| CN110472995A (en) | To shop prediction technique, device, readable storage medium storing program for executing and electronic equipment | |
| JP2013131009A (en) | Information providing system, and information providing method and program | |
| KR102327845B1 (en) | Service system and method for providing subdivided food material based on user costomized recipe | |
| US20170032385A1 (en) | Service provider/customer information tracking systems and methods | |
| JP2012234367A (en) | Information providing system, information providing method, program, and information recording medium | |
| JP6162804B2 (en) | List presenting apparatus, list presenting method, and program | |
| US20230196439A1 (en) | System for dynamically generating recommendations to purchase sustainable items | |
| US20200219123A1 (en) | Server, method and recording medium storing commands for managing customers | |
| US20200118221A1 (en) | System and method for making group decisions | |
| US20140337099A1 (en) | Identifying and Facilitating Hospitality Customer Needs | |
| JP2019179517A (en) | Distribution system, distribution method, and program | |
| CA3038559A1 (en) | System and method for location based cooking pairing | |
| Lahiri et al. | Rebel Foods’ Cloud Kitchen Technologies: Food for Thought? | |
| JP6490500B2 (en) | Information processing apparatus, information processing method, and program | |
| WO2018034034A1 (en) | Information processing device, information processing method, and program | |
| CN114493779A (en) | Order recommendation method and device, readable storage medium and electronic equipment | |
| CN111754285A (en) | Information processing apparatus, control method, readable storage medium, and electronic device | |
| CN113469769B (en) | Order processing method and device, storage medium and computer equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20180713 |
|
| WW01 | Invention patent application withdrawn after publication |