CN109583999A - It makes a reservation information recommendation method, device, electronic equipment and storage medium - Google Patents

It makes a reservation information recommendation method, device, electronic equipment and storage medium Download PDF

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Publication number
CN109583999A
CN109583999A CN201811347723.3A CN201811347723A CN109583999A CN 109583999 A CN109583999 A CN 109583999A CN 201811347723 A CN201811347723 A CN 201811347723A CN 109583999 A CN109583999 A CN 109583999A
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China
Prior art keywords
information
reservation
user
making
consumption
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CN201811347723.3A
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Chinese (zh)
Inventor
黄锦伦
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Ping An Technology Shenzhen Co Ltd
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Ping An Technology Shenzhen Co Ltd
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Priority to CN201811347723.3A priority Critical patent/CN109583999A/en
Priority to PCT/CN2018/125579 priority patent/WO2020098120A1/en
Publication of CN109583999A publication Critical patent/CN109583999A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/12Hotels or restaurants

Abstract

It makes a reservation information recommendation method the invention discloses one kind, show that the consumption of user is drawn a portrait by data analysis, be then that the user recommends information of making a reservation according to consumption portrait.Method includes the following steps: obtaining the information of making a reservation in multiple third party websites, the information of making a reservation is summarized and saving into preset information database of making a reservation;The consumption for obtaining user is drawn a portrait information, is extracted in the information database of making a reservation according to the consumption portrait information and the user matches first makes a reservation information;Described first information of making a reservation is sent to client, to recommend this first to make a reservation information to the user.Without user, switching platform compares information of making a reservation to this method repeatedly, carries out information sifting without the user effort a large amount of time and price compares, effectively user is helped to save time and cost.The invention also discloses device corresponding with the information recommendation method of making a reservation, computer equipment and storage mediums.

Description

It makes a reservation information recommendation method, device, electronic equipment and storage medium
Technical field
The present invention relates to network ordering technical fields, specifically, the present invention relates to one kind make a reservation information recommendation method, dress It sets, computer equipment and storage medium.
Background technique
Internet have many advantages, such as audient it is wide, without geographical restrictions, information update in time, information exchange diversity, because And by the concern and favor of people.As the mode of shopping at network is more and more common, wherein being no lack of some network ordering platforms Appearance, customer can search for the businessman needed and the other informations such as menu by network ordering platform, finally select most to be satisfied with Businessman make a reservation.
Selected currently, existing take-away platform is only capable of listing businessman and vegetable for user, due to Platform Type of making a reservation is more, The preferential activity of businessman is also more, cause user require a great deal of time browsing and screening can just acquire oneself want order Meal information, and user can not intuitively on one page be compared the information of making a reservation between platform and platform, repeatedly Switching is then time-consuming and laborious, is not suitable for the busy group that makes a reservation.
Summary of the invention
The purpose of the present invention aims to solve at least one of above-mentioned technological deficiency, and especially making a reservation, consuming time is long, low efficiency, Information is than less intuitive equal technological deficiency.
In order to solve the above technical problems, make a reservation information recommendation method the present invention provides one kind, the information recommendation side that makes a reservation Method includes the following steps:
The information of making a reservation in multiple third party websites is obtained, the information of making a reservation is summarized and is saved to preset letter of making a reservation It ceases in database;
The consumption portrait information for obtaining user, is extracted in the information database of making a reservation according to consumption portrait information It makes a reservation information with the user matches first;
Described first information of making a reservation is sent to client, to recommend this first to make a reservation information to the user.
Optionally, it is described the information of making a reservation is summarized and save to it is preset make a reservation information database the step of after, Further include:
Classify according to make a reservation information of the preset classifying rules to the acquisition, so that saving to the letter of making a reservation Each information of making a reservation in breath database all has corresponding tag attributes.
Optionally, the consumption portrait information for obtaining user, draws a portrait information in the information of making a reservation according to the consumption In database obtain with the user match first make a reservation information the step of before, further includes:
Obtain the History Order information of the user;
Consumption habit analysis is carried out to the user according to the History Order information of the user, to construct the user's Consumption portrait.
Optionally, the consumption habit analysis includes style of cooking preference analysis;It is described to be believed according to the History Order of the user Breath carries out consumption habit analysis to the user, to construct the step of consumption of the user is drawn a portrait, comprising:
Each history in the History Order information is obtained to make a reservation the corresponding style of cooking information of information;
The number that user in the History Order information selects the same style of cooking is counted, the style of cooking of the statistics is selected into number It is compared with default style of cooking selection frequency threshold value;
When the style of cooking of statistics selection number reaches default style of cooking selection frequency threshold value, which is added into institute It states in the consumption portrait of user.
Optionally, the consumption habit analysis includes price preference analysis;It is described to be believed according to the History Order of the user Breath carries out consumption habit analysis to the user, to construct the step of consumption of the user is drawn a portrait, comprising:
Each history in the History Order information is obtained to make a reservation the corresponding spending amount information of information;
According to the consumption group divided in advance, each history information of making a reservation is divided according to the spending amount information Group simultaneously counts the corresponding history of each consumption group and makes a reservation information bar number;
The history that obtains of the statistics most consumption group information of information bar number of making a reservation is added to the consumption picture of the user As in.
Optionally, the consumption habit analysis includes that nutritional need is analyzed;The History Order information pair according to user The user carries out consumption habit analysis, to construct the step of consumption of the user is drawn a portrait, comprising:
Each history in the History Order information is obtained to make a reservation the corresponding vegetable food materials information of information;
The first nutrient information table is generated according to the vegetable food materials information, the first nutrient of the generation is believed Breath is compared with the second nutrient information of human body requirements, obtains user nutrient information currently to be supplemented;
The user of acquisition nutrient information currently to be supplemented is added in the consumption portrait of the user.
Optionally, the consumption portrait information for obtaining user, draws a portrait information in the information of making a reservation according to the consumption In database obtain with the user match first make a reservation information the step of, comprising:
By the consumption portrait information of the user and the information progress of making a reservation being stored in the information database of making a reservation Match, whether the information of making a reservation in information database of making a reservation described in judgement meets preset matching condition;
When the calculated matching angle value reaches preset matching degree threshold value, in information database of making a reservation described in judgement Information of making a reservation meet preset matching condition, set first for the information of making a reservation and make a reservation information.
In order to solve the above technical problems, making a reservation information recommending apparatus the present invention also provides one kind, the information of making a reservation is pushed away Recommending device includes:
First acquisition module summarizes the information of making a reservation simultaneously for obtaining the information of making a reservation in multiple third party websites It saves into preset information database of making a reservation;
First processing module is ordered according to consumption portrait information described for obtaining the consumption portrait information of user First to match with the user is extracted in meal information database to make a reservation information;
Execution module, for the described first information of making a reservation to be sent to client, to recommend this first to order to the user Meal information.
Optionally, the information recommending apparatus of making a reservation can also include:
First classification submodule, for classifying according to make a reservation information of the preset classifying rules to the acquisition, with So that each saved into the information database of making a reservation is made a reservation, information all has corresponding tag attributes.
Optionally, the information recommending apparatus of making a reservation can also include:
Second obtains module, for obtaining the History Order information of the user;
Second processing module, for carrying out consumption habit point to the user according to the History Order information of the user Analysis, to construct the consumption portrait of the user.
Optionally, the consumption habit analysis includes style of cooking preference analysis, and the information recommending apparatus of making a reservation can also wrap It includes:
First acquisition submodule is made a reservation the corresponding style of cooking of information for obtaining each history in the History Order information Information;
First processing submodule, the number of the same style of cooking is selected for counting user in the History Order information, by institute The style of cooking selection number for stating statistics is compared with default style of cooking selection frequency threshold value;
First implementation sub-module reaches default style of cooking selection frequency threshold value for the style of cooking selection number when the statistics When, which is added in the consumption portrait of the user.
Optionally, the consumption habit analysis includes price preference analysis, and the information recommending apparatus of making a reservation can also wrap It includes:
Second acquisition submodule is made a reservation the corresponding consumption of information for obtaining each history in the History Order information Amount information;
Second processing submodule, for according to the consumption group divided in advance, according to the spending amount information to each History information of making a reservation is grouped and counts the corresponding history of each consumption group and makes a reservation information bar number;
Second implementation sub-module, for the history that obtains of statistics to be made a reservation the most consumption group information addition of information bar number Into the consumption portrait of the user.
Optionally, the consumption habit analysis includes that nutritional need is analyzed, and the information recommending apparatus of making a reservation can also wrap It includes:
Third acquisition submodule is made a reservation the corresponding vegetable of information for obtaining each history in the History Order information Food materials information;
Third handles submodule, will be described for generating the first nutrient information table according to the vegetable food materials information Generate the first nutrient information be compared with the second nutrient information of human body requirements, obtain the user currently to The nutrient information of supplement;
Third implementation sub-module, it is described for the user of acquisition nutrient information currently to be supplemented to be added to In the consumption portrait of user.
Optionally, the information recommending apparatus of making a reservation can also include:
First matched sub-block, for by the consumption of user portrait information and being stored in the information database of making a reservation In information of making a reservation matched, whether the information of making a reservation in information database of making a reservation described in judgement meets preset matching item Part;
First setting submodule, for judging when the calculated matching angle value reaches preset matching degree threshold value Information of making a reservation in the information database of making a reservation meets preset matching condition, sets first for the information of making a reservation and makes a reservation letter Breath.
In order to solve the above technical problems, the present invention also provides a kind of computer equipment, including memory and processor, it is described Computer-readable instruction is stored in memory, when the computer-readable instruction is executed by the processor, so that the place Reason device execute it is above-mentioned make a reservation information recommendation method the step of.
In order to solve the above technical problems, the present invention also provides a kind of storage medium for being stored with computer-readable instruction, institute When stating computer-readable instruction and being executed by one or more processors, so that one or more processors execute above-mentioned information of making a reservation The step of recommended method.
The beneficial effects of the present invention are:
The present invention from multiple third party websites by obtaining information of making a reservation, and the information unification remittance of making a reservation that will acquire Always and store into preset information database of making a reservation;Then it is drawn a portrait according to the consumption of user, from the information database of making a reservation Middle extraction is made a reservation information with the user matches first;Then the first of the extraction the information of making a reservation is sent to client again End, with the information of making a reservation to match to user.Due to containing ordering for multiple third party websites in preset information database of making a reservation It eats information, without user, switching platform compares information of making a reservation repeatedly, and the portrait of the consumption by obtaining user, then basis Consumption portrait automatic screening in the information bank of making a reservation of user obtains the information of making a reservation to match with the user, is not necessarily to user It devotes a tremendous amount of time and carries out information sifting and price comparison, effectively user is helped to save time and cost.
The additional aspect of the present invention and advantage will be set forth in part in the description, these will become from the following description Obviously, or practice through the invention is recognized.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for For those skilled in the art, without creative efforts, it can also be obtained according to these attached drawings other attached Figure.
Fig. 1 is the basic procedure schematic diagram of information recommendation method provided in an embodiment of the present invention of making a reservation;
Fig. 2 is that the method flow of building customer consumption portrait in information recommendation method provided in an embodiment of the present invention of making a reservation shows It is intended to;
Fig. 3 is to construct use by way of style of cooking preference analysis in information recommendation method provided in an embodiment of the present invention of making a reservation Method flow schematic diagram when the consumption portrait of family;
Fig. 4 is to construct use by way of price preference analysis in information recommendation method provided in an embodiment of the present invention of making a reservation Another method flow diagram when the consumption portrait of family;
Fig. 5 is to construct use in such a way that nutritional need is analyzed in information recommendation method provided in an embodiment of the present invention of making a reservation Another method flow schematic diagram when the consumption portrait of family;
Fig. 6 is to obtain first to match with user in information recommendation method provided in an embodiment of the present invention of making a reservation to make a reservation letter The method flow schematic diagram of breath;
Fig. 7 is information recommending apparatus basic structure block diagram provided in an embodiment of the present invention of making a reservation;
Fig. 8 is computer equipment basic structure block diagram provided in an embodiment of the present invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described.
In some processes of the description in description and claims of this specification and above-mentioned attached drawing, contain according to Multiple operations that particular order occurs, but it should be clearly understood that these operations can not be what appears in this article suitable according to its Sequence is executed or is executed parallel, and the serial number of the operation is only used for distinguishing each different operation, serial number not generation itself Table it is any execute sequence.In addition, these processes may include more or fewer operations, and these operations can be in order It executes or executes parallel.It should be noted that the description such as herein " first ", " second ", be for distinguish different message, Equipment, module etc. do not represent sequencing, also do not limit " first " and " second " and are different type.
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, those skilled in the art's every other embodiment obtained under the premise of no creative work, It shall fall within the protection scope of the present invention.
Embodiment
Those skilled in the art of the present technique are appreciated that " terminal " used herein above, " terminal device " both include wireless communication The equipment of number receiver, only has the equipment of the wireless signal receiver of non-emissive ability, and including receiving and emitting hardware Equipment, have on bidirectional communication link, can execute two-way communication reception and emit hardware equipment.This equipment It may include: honeycomb or other communication equipments, shown with single line display or multi-line display or without multi-line The honeycomb of device or other communication equipments;PCS (Personal Communications Service, PCS Personal Communications System), can With combine voice, data processing, fax and/or communication ability;PDA (Personal Digital Assistant, it is personal Digital assistants), it may include radio frequency receiver, pager, the Internet/intranet access, web browser, notepad, day It goes through and/or GPS (Global Positioning System, global positioning system) receiver;Conventional laptop and/or palm Type computer or other equipment, have and/or the conventional laptop including radio frequency receiver and/or palmtop computer or its His equipment." terminal " used herein above, " terminal device " can be it is portable, can transport, be mounted on the vehicles (aviation, Sea-freight and/or land) in, or be suitable for and/or be configured in local runtime, and/or with distribution form, operate in the earth And/or any other position operation in space." terminal " used herein above, " terminal device " can also be communication terminal, on Network termination, music/video playback terminal, such as can be PDA, MID (Mobile Internet Device, mobile Internet Equipment) and/or mobile phone with music/video playing function, it is also possible to the equipment such as smart television, set-top box.
The user terminal referred in the present embodiment is above-mentioned terminal.
Referring to Fig. 1, Fig. 1 is the basic procedure schematic diagram of information recommendation method provided in an embodiment of the present invention of making a reservation.
As shown in Figure 1, the information recommendation method of making a reservation, comprising the following steps:
S100: obtaining the information of making a reservation in multiple third party websites, and the information of making a reservation is summarized and is saved to preset It makes a reservation in information database.
An information database of making a reservation is previously provided in ordering system, by using crawler technology or big data technology The information of making a reservation in multiple third party websites is obtained, each acquired information of making a reservation is summarized in the form of a link And it saves into the information database of making a reservation.Therefore, the user of the ordering system is logged in when making a reservation, it is described to make a reservation System can be extracted from the preset information database of making a reservation according to the personal information of user and be ordered with what the user matched Meal information, and the information recommendation of making a reservation that the extraction is obtained is to the user.It include Business Information, style of cooking letter in the information of making a reservation Breath, preferential action message, vegetable food materials information, vegetable pricing information and vegetable nutritional information etc..
In some embodiments, the information of making a reservation acquired from multiple third party websites is being summarized and is being saved to institute It states when making a reservation information database, classifies according to preset classifying rules to the information of making a reservation acquired, so that Each information of making a reservation all has corresponding tag attributes.The preset classifying rules includes but is not limited to:
According to style of cooking information setting Sichuan cuisine, Guangdong dishes, Shandong cuisine, Jiangsu cuisine, Zhejiang dish, Fujian cuisine, Anhui cuisine and Hunan cuisine eight big cuisines Label.Each is made a reservation the corresponding style of cooking label of information, for example, when the vegetable in information of making a reservation is Guangdong dishes vegetable, such as Plain chicken, the corresponding label of information of making a reservation is " Guangdong dishes " at this time;When the vegetable in information of making a reservation is Hunan cuisine vegetable, such as agriculture Family's side fish meat, the corresponding label of information of making a reservation is " Hunan cuisine " etc. at this time.
According to the vegetable pricing information, multiple consumption rate ranges, the corresponding mark of each consumption rate range are set Label, for example when three consumption rate ranges of setting, level-one sphere of consumption corresponding label is " 50 yuan or more ";Second level sphere of consumption pair Answering label is " 25 yuan -50 yuan ";Three-level sphere of consumption corresponding label is " 25 yuan or less ".According to the vegetable in the information of making a reservation Pricing information judges consumption rate range belonging to the information of making a reservation, and sets the corresponding label of consumption rate range to The label of the information of making a reservation.For example, menu name is " Steamed perch with scallion and black beans ", right in the information of making a reservation that some businessman releases The selling price answered is 35 yuan, at this point, this makes a reservation, the corresponding label of information is " 25 yuan -50 yuan ".It is understood that described The setting of consumption rate range and its corresponding label can arbitrarily be set according to the actual situation.In other embodiments, according to When vegetable pricing information in the menu information classifies to information of making a reservation, the preferential action message of businessman can be combined with Co-determination is made a reservation the corresponding label of information, for example, menu name is " steamed in the information of making a reservation that some businessman releases Perch ", corresponding selling price are 35 yuan, and the preferential action message on the day of the businessman is full 35 to subtract 12 yuan, at this point, the vegetable Practical corresponding selling price is 35-12=23 member, thus this bar corresponding label of information of making a reservation may be " 25 yuan or less ".
The corresponding label of classifying and dividing is carried out according to the vegetable nutritional information, including iron-content is abundant, calcium content is abundant, Protein abundance, low-sugar low-fat, Vitamin C content are abundant etc..According to the vegetable food materials information judgement in the information of making a reservation The corresponding nutritional information label of the information of making a reservation out.For example, menu name is in the information of making a reservation that some businessman releases " quick-fried pork liver ", i.e. food materials in the vegetable are pork liver, and pork liver contains than more rich ferro element, then right in the information of making a reservation There should be " iron-content is abundant " label.
S200: the consumption portrait information of user is obtained, information is drawn a portrait in the information database of making a reservation according to the consumption Middle extraction is made a reservation information with the user matches first.
When user, which logs in the ordering system, to make a reservation, the ordering system is obtained by detection login account automatically Then the personal information of the user acquires the consumption portrait information of the user according to the personal information of the user.Wherein, institute The consumption portrait information for stating user includes the style of cooking preference information of the user, the price preference information of the user and the user At least one of in nutritional need information.Wherein, each single item consumption portrait information can be shown in the form of a label.Therefore, root It extracts from the preset information database of making a reservation according to the corresponding consumption portrait information of the user and matches with the user First make a reservation information when, can be ordered by comparing in the label and the information database of making a reservation in customer consumption portrait Whether the corresponding label of meal information matches to obtain.For example, the consumption portrait information of the user shows that the user likes eating Hunan cuisine, Then extracted from the preset information database of making a reservation with " Hunan cuisine " label make a reservation information as with user's phase First matched is made a reservation information.
S300: being sent to client for the described first information of making a reservation, to recommend this first to make a reservation information to the user.
When the ordering system extract to obtain first to match with the user make a reservation information after, described first is ordered Meal information is sent to client, and described first has been enumerated in the corresponding information displayed page of making a reservation of the client and has been made a reservation information pair The link of ordering answered, is ordered food with supplying user, and then is realized to the user and recommended the described first purpose for making a reservation information.
Described first makes a reservation information including at least the information of making a reservation extracted from the information database of making a reservation, In the present embodiment, the described first information of making a reservation includes 10 information of making a reservation to match with the user.It is understood that institute Stating the quantity setting that first makes a reservation information can also default according to ordering system and set according to the customized setting of the user It sets.After the user logs in ordering system by client device, it can be shown in the information of making a reservation and select one in interface Or a plurality of first information of making a reservation make a reservation.Further, described first make a reservation information enumerate in it is described make a reservation information show page When face, the matching degree that can also be made a reservation between information and the user according to arranges from high to low.
Information recommendation method is made a reservation described in above-described embodiment by obtaining information of making a reservation from multiple third party websites, and The information unification of making a reservation that will acquire summarizes and stores into preset information database of making a reservation;Then according to the consumption of user Portrait extracts first to match with the user from the information database of making a reservation and makes a reservation information;Then it is mentioned again by described First taken information of making a reservation is sent to client, with the information of making a reservation to match to user.Due to preset information data of making a reservation Contain the information of making a reservation of multiple third party websites in library, switching platform compares information of making a reservation repeatedly without user, and passes through The consumption portrait of user is obtained, is then obtained and the use according to the consumption of user portrait automatic screening in the information bank of making a reservation Information that family matched make a reservation carries out information sifting without the user effort a large amount of time and price compares, effectively helps to use Family saves time and cost.
In some embodiments, Fig. 2 please be participate in, Fig. 2 is structure in information recommendation method provided in an embodiment of the present invention of making a reservation Build the method flow schematic diagram of customer consumption portrait.
As shown in Fig. 2, further including step S400 and step S500 before obtaining the consumption portrait information of user.Tool Steps are as follows for body:
S400: the History Order information of the user is obtained.
User often once orders in ordering system completion, which can all close the order information that this time is ordered It is coupled to the login account of the user and the order information is stored in the preset User Information Database of ordering system.When with When the family login ordering system is made a reservation, the ordering system obtains the login account of the user by detection automatically, so It is acquired and user's login account from the preset User Information Database according to the login account of the user afterwards Associated History Order information.
S500: consumption habit analysis is carried out to the user according to the History Order information of the user, described in building The consumption of user is drawn a portrait.
After acquiring the History Order information of the user, according to the History Order information to the user into The analysis of row consumption habit, obtains the consumption portrait information of the user, to construct the consumption portrait of the user.Described pair with Family carry out consumption habit analysis may include style of cooking preference analysis, price preference analysis, nutritional need analysis etc.,.Moreover, When constructing the consumption portrait of the user, it can be set and consumption habit is carried out to user for analysis dimension with day, week, the moon, season, year Analysis.
Above-described embodiment, can be closer to by carrying out consumption habit analysis to user according to user's consumer record usually Recommend information of making a reservation for user to user's idea, improves user experience;It can be with moreover, carrying out nutritional need analysis to user The physical condition of user is solved, recommends the information of making a reservation for being beneficial to user health for user, helps user health diet.
In some embodiments, referring to Fig. 3, Fig. 3 is to lead in information recommendation method provided in an embodiment of the present invention of making a reservation Cross style of cooking preference analysis mode construct customer consumption portrait when method flow schematic diagram.
As shown in figure 3, when the consumption habit analysis carried out to user is style of cooking preference analysis, specific steps packet It includes:
S511: it obtains each history in the History Order information and makes a reservation the corresponding style of cooking information of information.
Include corresponding information of the making a reservation when user orders in the History Order information, orders each time one corresponding History is made a reservation information, moreover, each history is made a reservation, information all has its corresponding tag attributes.Acquiring the user History Order information after, made a reservation by modes such as keyword recognition or information extractions from each history and identified in information This history is made a reservation the corresponding style of cooking label of information, is made a reservation the corresponding style of cooking of information to obtain this history according to style of cooking label Information.
S512: counting the number that user in the History Order information selects the same style of cooking, and the style of cooking of the statistics is selected Number is selected to be compared with default style of cooking selection frequency threshold value.
Each history is made a reservation after the corresponding style of cooking information of information in acquiring the History Order information, according to The style of cooking information to each history make a reservation information carry out style of cooking classification, specifically according to Sichuan cuisine, Guangdong dishes, Shandong cuisine, Jiangsu cuisine, The eight big cuisines such as Zhejiang dish, Fujian cuisine, Anhui cuisine and Hunan cuisine are sorted out.It completes to return each history information of making a reservation After class, the item number that there is history to make a reservation information in each style of cooking classification is counted, often there is a history to make a reservation information representation should The style of cooking is easily selected by a user once, so that statistics obtains the number of the unified style of cooking of user's selection in the History Order information.Then It is directed to each style of cooking classification again, counts the style of cooking selection number obtained and the selection frequency threshold value progress of the preset style of cooking for described It compares, selects frequency threshold value by judging that the style of cooking of the statistics selects number to reach the default style of cooking, and then judge the style of cooking Whether be the user preference style of cooking information.
S513: when the style of cooking of statistics selection number reaches default style of cooking selection frequency threshold value, by the style of cooking information It adds in the consumption portrait of the user.
Counted described after the style of cooking selection number and the preset style of cooking obtained select frequency threshold value to be compared, when than When selecting number to reach the default style of cooking selection frequency threshold value style of cooking that result is the statistics, by the style of cooking information with label Form is added in the consumption portrait of the user.For example, being calculated with one month for time dimension, the dish of the ordering system setting It is 15 times that system, which selects frequency threshold value, and user before carrying out this and ordering, order by the history counted in the previous moon that this is ordered Single information, if it is 18 times that statistics, which show that the user selects the number of Guangdong dishes, due to 18 > 15, i.e. comparison result is user to Guangdong The selection number of dish reaches preset style of cooking selection frequency threshold value, and the consumption that Guangdong dishes style of cooking information adds the user is drawn a portrait In.Specifically, " Guangdong dishes " label is added in the consumption portrait of the user.Further, if judging all styles of cooking all not When reaching preset style of cooking selection frequency threshold value, it can be counted by the time dimension that switching calculates, or the style of cooking is selected Select the style of cooking information of number most 1 or 2 styles of cooking as the user preference.
In some other implementation, when judging whether some style of cooking is the style of cooking of the user preference, use can also be passed through Family accounts for the ratio for total degree of ordering to the selection number of the style of cooking to judge, for example, counting user in the previous moon selects Guangdong dishes Number be 8 times, and whether be the percentage threshold of the style of cooking of the user preference when being 50% if measuring some style of cooking, if statistics User order total degree be 15 times when, 8/15 be greater than 50%, it can judge that Guangdong dishes are the styles of cooking of the user preference;If statistics is used Family order total degree be 18 times when, 8/18 less than 50%, it can judging Guangdong dishes not is the style of cooking of the user preference.
Above-described embodiment can filter out it for user and like the corresponding information of making a reservation of the style of cooking, can cater to user demand While reduce user browsing information content, help user save choosing meal the time.
In some embodiments, referring to Fig. 4, Fig. 4 is to lead in information recommendation method provided in an embodiment of the present invention of making a reservation Cross price preference analysis mode construct customer consumption portrait when another method flow diagram.
As shown in figure 4, when the consumption habit analysis carried out to user is price preference analysis, specific steps packet It includes:
S521: it obtains each history in the History Order information and makes a reservation the corresponding spending amount information of information.
Include corresponding information of the making a reservation when user orders in the History Order information, orders each time one corresponding History is made a reservation information, moreover, each history is made a reservation, information all has its corresponding tag attributes.Acquiring the user History Order information after, made a reservation by modes such as keyword recognition or information extractions from each history and identified in information Show that this history is made a reservation the corresponding spending amount information of information.
S522: it according to the consumption group divided in advance, is made a reservation information according to the spending amount information to each history It is grouped and counts the corresponding history of each consumption group and make a reservation information bar number.
It acquires each history in the History Order information to make a reservation after the corresponding spending amount information of information, press According to the consumption group divided in advance, each history information of making a reservation is grouped according to the spending amount information.Wherein, institute The consumption group divided in advance and the ordering system are stated when information database is made a reservation in setting according to the vegetable pricing information The consumption rate range of setting corresponds.For example, correspond to it is described according to vegetable pricing information setting " 50 yuan with On ", " 25 yuan -50 yuan " and " 25 yuan or less " three consumption rate ranges, the consumption group divided in advance include " 50 yuan More than ", " 25 yuan -50 yuan " and " 25 yuan or less " three consumption groups.It, will be each according to the spending amount information of the acquisition History makes a reservation information categorization into corresponding consumption group.And then after the completion of grouping, each consumption group is obtained by statistics Not corresponding history is made a reservation information bar number.
S523: the history that obtains of the statistics most consumption group information of information bar number of making a reservation is added to disappearing for the user Take in portrait.
Show that the corresponding history of each consumption group is made a reservation after information bar number in statistics, it is right in more all consumption groups Answer history make a reservation information bar number number, obtaining history makes a reservation the most corresponding information of consumption group of information bar number, by the letter Breath is added in the consumption portrait of user.For example, being calculated with one month for time dimension, statistics obtains " 50 yuan or more " consumption group Not corresponding history information bar number of making a reservation is 1, and statistics show that " 25 yuan -50 yuan " the corresponding history of consumption group are made a reservation information bar Number be 6, statistics obtain " 25 yuan or less " the corresponding history of consumption group make a reservation information bar number be 12.At this point, obtaining history The most corresponding information of consumption group of information bar of making a reservation number is " 25 yuan or less ", by " 25 yuan or less " this consumption group information It is added in the consumption portrait of user in the form of a label.
Above-described embodiment can filter out the information of making a reservation that its budgetary price is commercially available for user, need catering to user The browsing information content that user is reduced while asking helps user to save the choosing meal time.
In some embodiments, referring to Fig. 5, Fig. 5 is to lead in information recommendation method provided in an embodiment of the present invention of making a reservation The mode of overnutrition demand analysis constructs another method flow schematic diagram when customer consumption portrait.
As shown in figure 5, when the consumption habit analysis carried out to user is nutritional need analysis, specific steps packet It includes:
S531: it obtains each history in the History Order information and makes a reservation the corresponding vegetable food materials information of information.
Include corresponding information of the making a reservation when user orders in the History Order information, orders each time one corresponding History is made a reservation information, and each history information of making a reservation all has its corresponding vegetable food materials information.Acquiring the user History Order information after, made a reservation by modes such as keyword recognition or information extractions from each history and identified in information This history is made a reservation the corresponding vegetable food materials information of information.
S532: the first nutrient information table is generated according to the vegetable food materials information, by the first nutrition of the generation Element information is compared with the second nutrient information of human body requirements, obtains user nutrient currently to be supplemented Information.
In the present embodiment, food and battalion can be collected by the approach that field of food science and/or medical domain are approved The corresponding relationship between element is supported, foundation obtains preset food-nutrient information relationship table.Acquiring the history Each history is made a reservation after the corresponding vegetable food materials information of information in order information, in the preset food-nutrient The corresponding nutrient information of the vegetable food materials information is identified in information relationship table, further according to the nutritional information identified Generate the first nutrient information table.Specifically, the mode for first passing through key message extraction obtains in the vegetable food materials information Then corresponding food name obtains in the preset food-nutrient information relationship table according to the food name The corresponding nutrient information of the food name generates the first nutrient information table further according to the nutritional information identified, The magnitude that statistics has user to pass through each human body requirements nutrient of food intake in the first nutrient information table.? After generating the first nutrient information table, by the second nutrition member of the first nutrient information table and human body requirements Prime information table is compared, and acquires user nutrient information currently to be supplemented.It is described by first nutrition Element information table is compared with the second nutrient information table of human body requirements, specifically includes: comparing the first nutrition member Whether the magnitude of each nutrient is less than the standard volume for corresponding to nutrient in the second nutrient information table in prime information table Value, if being less than, that is, judges the nutrient nutrient information currently to be supplemented for the user.It will of course be understood that It is that user nutrient information currently to be supplemented can also be by user according to the customized setting of its own actual conditions.
S533: the consumption that the user of acquisition nutrient information currently to be supplemented is added to the user is drawn a portrait In.
In the present embodiment, it in the nutritional information table of human body requirements, is provided with for each nutrient corresponding Label, for example, ferro element corresponding label is " iron deficiency ", the element corresponding label is " calcium deficiency ", Zn-ef ficiency corresponding label is " to lack Zinc " etc..It is currently to be supplemented according to the user after acquiring user nutrient information currently to be supplemented The label is added in the consumption portrait of the user by the corresponding label of nutrient acquisition of information.For example, acquiring institute Stating user's nutrient information currently to be supplemented is ferro element, at this point, " iron deficiency " label to be added to the consumption of the user In portrait.
Above-described embodiment nutrient to be supplemented by the History Order information analysis user according to user, pushes away for user It recommends and caters to the first of user's body health demand and make a reservation information, user can be helped to adjust the eating habit of health.
In some embodiments, referring to Fig. 6, Fig. 6 is to obtain in information recommendation method provided in an embodiment of the present invention of making a reservation Take the match with user first method flow schematic diagram for making a reservation information.
As shown in fig. 6, being obtained from information database of making a reservation and user's phase according to the consumption of user portrait information First matched make a reservation information when, specifically comprise the following steps:
S210: by the consumption portrait information of the user be stored in the information database of making a reservation make a reservation information into Row matches, and whether the information of making a reservation in information database of making a reservation described in judgement meets preset matching condition.
The consumption portrait information of user is showed in the form of a label in the consumption portrait of the user.Acquiring After the consumption portrait information for stating user, by the consumption portrait information of the user and it is stored in the information database of making a reservation Information of making a reservation matched, whether the information of making a reservation in information database of making a reservation described in judgement meets preset matching condition.
In some embodiments, the preset matching condition is the consumption portrait information of the user and the letter of making a reservation Matching angle value between breath reaches preset matching degree threshold value.Wherein, the consumption portrait information of the user and the letter of making a reservation Matching degree value calculating method between breath can be with are as follows:
The weighted value that each single item information in the consumption portrait of the user accounts for matching degree calculating is set, by the power of the setting Weight values are associated with the corresponding label of this information;
It makes a reservation and is made a reservation in information database in each label and customer consumption portrait that information has described in judgement Whether the label for characterizing same item information is consistent;
When judging to make a reservation a label that information has in the information database of making a reservation and the customer consumption is drawn a portrait When the label of the middle same item information of characterization is consistent, weighted value associated with the label is obtained;
The sum of all weighted values acquired are calculated as the consumption portrait information of the user and the information of making a reservation Between matching angle value.
S220: when the calculated matching angle value reaches preset matching degree threshold value, Information Number of making a reservation described in judgement Meet preset matching condition according to the information of making a reservation in library, sets first for the information of making a reservation and make a reservation information.
When the matching angle value being calculated reaches preset matching degree threshold value, described make a reservation is obtained by ordering system judgement Information of making a reservation in information database meets preset matching condition, extracts this from the information database of making a reservation and makes a reservation Information is made a reservation information as with the user matches first.
The embodiment of the present invention also provides one kind and makes a reservation information recommending apparatus to solve above-mentioned technical problem.Referring specifically to figure 7, Fig. 7 be information recommending apparatus basic structure block diagram provided in an embodiment of the present invention of making a reservation.
The information recommending apparatus as shown in fig. 7, one kind is made a reservation, comprising: first obtains module, first processing module and execution Module.Wherein, the first acquisition module is used to obtain the information of making a reservation in multiple third party websites, and the information of making a reservation is converged Total and preservation is into preset information database of making a reservation.The first processing module is used to obtain the consumption portrait information of user, Is extracted in the information database of making a reservation according to the consumption portrait information and the user matches first makes a reservation information. The execution module is used to the described first information of making a reservation being sent to client, to recommend this first to make a reservation letter to the user Breath.
It makes a reservation described in above-described embodiment information recommending apparatus, by obtaining information of making a reservation from multiple third party websites, And the information unification of making a reservation that will acquire summarizes and stores into preset information database of making a reservation;Then disappearing according to user Take portrait, first to match with the user is extracted from the information database of making a reservation and is made a reservation information;It then again will be described The first information of making a reservation extracted is sent to client, with the information of making a reservation to match to user.Due to preset Information Number of making a reservation According to the information of making a reservation for containing multiple third party websites in library, without user, switching platform compares information of making a reservation, Er Qietong repeatedly The consumption portrait for obtaining user is crossed, then obtains and is somebody's turn to do according to the consumption of user portrait automatic screening in the information bank of making a reservation Information that user matched make a reservation carries out information sifting without the user effort a large amount of time and price compares, effectively helps User saves time and cost.
In some embodiments, the information recommending apparatus of making a reservation can also include: the first classification submodule.Described first Classification submodule according to make a reservation information of the preset classifying rules to the acquisition for classifying, so that saving to described The each in information database of making a reservation information of making a reservation all has corresponding tag attributes.
In some embodiments, the information recommending apparatus of making a reservation can also include: the second acquisition module and second processing Module.Wherein, the second acquisition module is used to obtain the History Order information of the user.The Second processing module is used for Consumption habit analysis is carried out to the user according to the History Order information of the user, to construct the consumption picture of the user Picture.
In some embodiments, the consumption habit analysis includes style of cooking preference analysis, the information recommending apparatus of making a reservation It can also include: the first acquisition submodule, the first processing submodule and the first implementation sub-module.Wherein, it described first obtains Submodule is made a reservation the corresponding style of cooking information of information for obtaining each history in the History Order information.First processing Submodule selects the style of cooking of the statistics secondary for counting the number that user in the History Order information selects the same style of cooking It is several to be compared with default style of cooking selection frequency threshold value.First implementation sub-module is used for the style of cooking selection time when the statistics When number reaches default style of cooking selection frequency threshold value, which is added in the consumption portrait of the user.
In some embodiments, the consumption habit analysis includes price preference analysis, the information recommending apparatus of making a reservation It can also include: the second acquisition submodule, second processing submodule and the second implementation sub-module.Wherein, it described second obtains Submodule is made a reservation the corresponding spending amount information of information for obtaining each history in the History Order information.Described second It handles submodule to be used for according to the consumption group divided in advance, be made a reservation information according to the spending amount information to each history It is grouped and counts the corresponding history of each consumption group and make a reservation information bar number.Second implementation sub-module will be for that will count Make a reservation information bar number most consumption group information of the history obtained is added to the consumption of the user and draws a portrait.
In some embodiments, the consumption habit analysis includes that nutritional need is analyzed, the information recommending apparatus of making a reservation It can also include: third acquisition submodule, third processing submodule and third implementation sub-module.Wherein, the third obtains Submodule is made a reservation the corresponding vegetable food materials information of information for obtaining each history in the History Order information.The third It handles submodule to be used to generate the first nutrient information table according to the vegetable food materials information, by the first nutrition of the generation Element information is compared with the second nutrient information of human body requirements, obtains user nutrient currently to be supplemented Information.The third implementation sub-module is used to for the user of acquisition nutrient information currently to be supplemented being added to described In the consumption portrait of user.
In some embodiments, the information recommending apparatus of making a reservation can also include: that the first matched sub-block and first set Set submodule.Wherein, first matched sub-block be used for the consumption of user portrait information and be stored in described in make a reservation Information of making a reservation in information database is matched, and it is default whether the information of making a reservation in information database of making a reservation described in judgement meets Matching condition.The first setting submodule is used to reach preset matching degree threshold value when the calculated matching angle value When, the information of making a reservation in information database of making a reservation described in judgement meets preset matching condition, sets for the information of making a reservation One makes a reservation information.
In order to solve the above technical problems, the embodiment of the invention also provides a kind of computer equipments.Referring specifically to Fig. 8, Fig. 8 is computer equipment basic structure block diagram provided in an embodiment of the present invention.
As shown in figure 8, the schematic diagram of internal structure of computer equipment.As shown in figure 8, the computer equipment includes passing through to be Processor, non-volatile memory medium, memory and the network interface of bus of uniting connection.Wherein, the computer equipment is non-easy The property lost storage medium is stored with operating system, database and computer-readable instruction, can be stored with control information sequence in database Column when the computer-readable instruction is executed by processor, may make processor to realize that one kind is made a reservation information recommendation method.The calculating The processor of machine equipment supports the operation of entire computer equipment for providing calculating and control ability.The computer equipment It can be stored with computer-readable instruction in memory, when which is executed by processor, processor may make to hold Row one kind is made a reservation information recommendation method.The network interface of the computer equipment is used for and terminal connection communication.Those skilled in the art Member is appreciated that structure shown in Fig. 8, only the block diagram of part-structure relevant to application scheme, composition pair The restriction for the computer equipment that application scheme is applied thereon, specific computer equipment may include than as shown in the figure more More or less component perhaps combines certain components or with different component layouts.
In the present embodiment, the processor is for executing the first acquisition module 10, first processing module 20 in Fig. 7 and holding The concrete function of row module 30, and the memory is stored with program code and Various types of data needed for executing above-mentioned module.Institute Network interface is stated for transmitting to the data between user terminal or server.Memory in the present embodiment is stored with letter of making a reservation Program code and data needed for executing all submodules in breath recommendation apparatus, server are capable of the program code of invoking server And data execute the function of all submodules.
Computer equipment described in above-described embodiment will acquire by obtaining information of making a reservation from multiple third party websites Obtained information unification of making a reservation summarizes and stores into preset information database of making a reservation;Then it is drawn a portrait according to the consumption of user, First to match with the user is extracted from the information database of making a reservation to make a reservation information;Then again by the of the extraction One information of making a reservation is sent to client, with the information of making a reservation to match to user.Due to containing in preset information database of making a reservation There is the information of making a reservation of multiple third party websites, switching platform and is used to compare information of making a reservation by obtaining repeatedly without user The consumption at family is drawn a portrait, and is then obtained and user's phase according to the consumption of user portrait automatic screening in the information bank of making a reservation The information of making a reservation matched carries out information sifting without the user effort a large amount of time and price compares, effectively user helped to save Time and cost.
The present invention also provides a kind of storage mediums for being stored with computer-readable instruction, and the computer-readable instruction is by one When a or multiple processors execute, so that one or more processors execute the information recommendation side that makes a reservation described in any of the above-described embodiment The step of method.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with Relevant hardware is instructed to complete by computer program, which can be stored in a computer-readable storage and be situated between In matter, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, storage medium above-mentioned can be The non-volatile memory mediums such as magnetic disk, CD, read-only memory (Read-Only Memory, ROM) or random storage note Recall body (Random Access Memory, RAM) etc..
It should be understood that although each step in the flow chart of attached drawing is successively shown according to the instruction of arrow, These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps Execution there is no stringent sequences to limit, can execute in the other order.Moreover, at least one in the flow chart of attached drawing Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps Completion is executed, but can be executed at different times, execution sequence, which is also not necessarily, successively to be carried out, but can be with other At least part of the sub-step or stage of step or other steps executes in turn or alternately.
The above is only some embodiments of the invention, it is noted that for the ordinary skill people of the art For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered It is considered as protection scope of the present invention.

Claims (10)

  1. The information recommendation method 1. one kind is made a reservation, which comprises the following steps:
    The information of making a reservation in multiple third party websites is obtained, the information of making a reservation is summarized and is saved to preset Information Number of making a reservation According in library;
    The consumption for obtaining user is drawn a portrait information, is extracted in the information database of making a reservation and institute according to consumption portrait information User matches first is stated to make a reservation information;
    Described first information of making a reservation is sent to client, to recommend this first to make a reservation information to the user.
  2. 2. information recommendation method according to claim 1 of making a reservation, which is characterized in that described to summarize the information of making a reservation simultaneously Save to it is preset make a reservation information database the step of after, further includes:
    Classify according to make a reservation information of the preset classifying rules to the acquisition, so that saving to the Information Number of making a reservation All there are corresponding tag attributes according to the information of making a reservation of each in library.
  3. 3. information recommendation method according to claim 1 of making a reservation, which is characterized in that the consumption for obtaining user, which is drawn a portrait, to be believed Breath, obtains in the information database of making a reservation according to the consumption portrait information and the user matches first makes a reservation letter Before the step of breath, further includes:
    Obtain the History Order information of the user;
    Consumption habit analysis is carried out to the user according to the History Order information of the user, to construct the consumption of the user Portrait.
  4. 4. information recommendation method according to claim 3 of making a reservation, which is characterized in that the consumption habit analysis includes the style of cooking Preference analysis;The History Order information according to the user carries out consumption habit analysis to the user, described in building The step of consumption portrait of user, comprising:
    Each history in the History Order information is obtained to make a reservation the corresponding style of cooking information of information;
    The number that user in the History Order information selects the same style of cooking is counted, by the style of cooking selection number of the statistics and in advance If style of cooking selection frequency threshold value is compared;
    When the style of cooking of statistics selection number reaches default style of cooking selection frequency threshold value, which is added into the use In the consumption portrait at family.
  5. 5. information recommendation method according to claim 3 of making a reservation, which is characterized in that the consumption habit analysis includes price Preference analysis;The History Order information according to the user carries out consumption habit analysis to the user, described in building The step of consumption portrait of user, comprising:
    Each history in the History Order information is obtained to make a reservation the corresponding spending amount information of information;
    According to the consumption group divided in advance, each history information of making a reservation is grouped simultaneously according to the spending amount information The corresponding history of each consumption group is counted to make a reservation information bar number;
    Make a reservation information bar number most consumption group information of the history that obtains of statistics is added to the consumption of the user and draws a portrait.
  6. 6. information recommendation method according to claim 3 of making a reservation, which is characterized in that the consumption habit analysis includes nutrition Demand analysis;The History Order information according to user carries out consumption habit analysis to the user, to construct the user Consumption portrait the step of, comprising:
    Each history in the History Order information is obtained to make a reservation the corresponding vegetable food materials information of information;
    According to the vegetable food materials information generate the first nutrient information table, by the first nutrient information of the generation with Second nutrient information of human body requirements is compared, and obtains user nutrient information currently to be supplemented;
    The user of acquisition nutrient information currently to be supplemented is added in the consumption portrait of the user.
  7. 7. information recommendation method according to claim 1 of making a reservation, which is characterized in that the consumption for obtaining user, which is drawn a portrait, to be believed Breath, obtains in the information database of making a reservation according to the consumption portrait information and the user matches first makes a reservation letter The step of breath, comprising:
    The consumption portrait information of the user is matched with the information of making a reservation being stored in the information database of making a reservation, is sentenced Whether the information of making a reservation in the disconnected information database of making a reservation meets preset matching condition;
    When the calculated matching angle value reaches preset matching degree threshold value, ordering in information database of making a reservation described in judgement Meal information meets preset matching condition, sets first for the information of making a reservation and makes a reservation information.
  8. The information recommending apparatus 8. one kind is made a reservation characterized by comprising
    The information of making a reservation is summarized and is saved for obtaining the information of making a reservation in multiple third party websites by the first acquisition module To in preset information database of making a reservation;
    First processing module draws a portrait information in the letter of making a reservation according to the consumption for obtaining the consumption portrait information of user First to match with the user is extracted in breath database to make a reservation information;
    Execution module, for the described first information of making a reservation to be sent to client, to recommend this first to make a reservation letter to the user Breath.
  9. 9. a kind of electronic equipment, including memory and processor, computer-readable instruction, the meter are stored in the memory When calculation machine readable instruction is executed by the processor, so that the processor executes described in 1 to 7 any one of the claims Information recommendation method of making a reservation.
  10. 10. a kind of storage medium for being stored with computer-readable instruction, the computer-readable instruction is handled by one or more When device executes, make a reservation described in any one of the claims 1 to 7 claim so that one or more processors execute Information recommendation method.
CN201811347723.3A 2018-11-13 2018-11-13 It makes a reservation information recommendation method, device, electronic equipment and storage medium Pending CN109583999A (en)

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Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110175882A (en) * 2019-04-09 2019-08-27 浙江口碑网络技术有限公司 Taste identification method, apparatus, equipment and readable storage medium storing program for executing
CN110490356A (en) * 2019-07-02 2019-11-22 北京星选科技有限公司 Interface display method, device, electronic equipment
CN110766478A (en) * 2019-10-31 2020-02-07 深圳市云积分科技有限公司 Method and device for improving user connectivity
CN110851720A (en) * 2019-11-11 2020-02-28 北京百度网讯科技有限公司 Information recommendation method and device and electronic equipment
CN110852870A (en) * 2019-11-01 2020-02-28 腾讯科技(深圳)有限公司 Virtual resource transfer method, device, equipment and readable storage medium
CN110874659A (en) * 2019-10-08 2020-03-10 上海博泰悦臻网络技术服务有限公司 Meal ordering method, meal ordering server, meal ordering terminal and storage medium
CN111597434A (en) * 2020-04-10 2020-08-28 广东机电职业技术学院 Takeaway recommendation method, system, device and medium based on user portrait
CN112365325A (en) * 2020-12-11 2021-02-12 南京魏东电子商务有限公司 Intelligent advertisement recommendation method based on feature recognition of big data platform
CN112633960A (en) * 2019-09-24 2021-04-09 北京京东尚科信息技术有限公司 Recommendation information pushing method and device and computer readable storage medium
CN113157708A (en) * 2020-01-07 2021-07-23 青岛九石智能科技股份有限公司 Method and device for updating wine information and intelligent wine cabinet
CN113469765A (en) * 2020-03-31 2021-10-01 珠海优特智厨科技有限公司 Order information processing method, device, equipment and computer readable storage medium
CN113743900A (en) * 2021-09-03 2021-12-03 广东以诺通讯有限公司 Meal ordering reminding method and device, intelligent equipment and storage medium
CN113822745A (en) * 2021-09-28 2021-12-21 北京沃东天骏信息技术有限公司 Article display method and device
CN117541359A (en) * 2024-01-04 2024-02-09 江西工业贸易职业技术学院(江西省粮食干部学校、江西省粮食职工中等专业学校) Dining recommendation method and system based on preference analysis

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103854220A (en) * 2014-03-28 2014-06-11 深圳市淘海科技有限公司 Method and device for realizing cross-platform shopping
CN106874304A (en) * 2015-12-14 2017-06-20 阿里巴巴集团控股有限公司 Pay the information displaying method and system on the page
CN107862542A (en) * 2017-09-28 2018-03-30 北京三快在线科技有限公司 A kind of vegetable recommends method and apparatus
CN108280729A (en) * 2017-01-06 2018-07-13 中兴通讯股份有限公司 A kind of food preparation method and device
CN108319675A (en) * 2018-01-29 2018-07-24 出门问问信息科技有限公司 Information displaying method, device, electronic equipment and computer storage media

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106934680A (en) * 2015-12-29 2017-07-07 阿里巴巴集团控股有限公司 A kind of method and device for business processing
CN107092647B (en) * 2017-03-10 2020-09-22 北京星选科技有限公司 Method and device for providing resource combination
CN107742245B (en) * 2017-10-31 2021-04-27 北京星选科技有限公司 Merchant information recommendation method, device and equipment
CN108765043A (en) * 2018-03-28 2018-11-06 平安科技(深圳)有限公司 Products Show method, electronic equipment and storage medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103854220A (en) * 2014-03-28 2014-06-11 深圳市淘海科技有限公司 Method and device for realizing cross-platform shopping
CN106874304A (en) * 2015-12-14 2017-06-20 阿里巴巴集团控股有限公司 Pay the information displaying method and system on the page
CN108280729A (en) * 2017-01-06 2018-07-13 中兴通讯股份有限公司 A kind of food preparation method and device
CN107862542A (en) * 2017-09-28 2018-03-30 北京三快在线科技有限公司 A kind of vegetable recommends method and apparatus
CN108319675A (en) * 2018-01-29 2018-07-24 出门问问信息科技有限公司 Information displaying method, device, electronic equipment and computer storage media

Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110175882A (en) * 2019-04-09 2019-08-27 浙江口碑网络技术有限公司 Taste identification method, apparatus, equipment and readable storage medium storing program for executing
CN110175882B (en) * 2019-04-09 2021-10-26 浙江口碑网络技术有限公司 Taste sensation recognition method, device, equipment and readable storage medium
CN110490356A (en) * 2019-07-02 2019-11-22 北京星选科技有限公司 Interface display method, device, electronic equipment
CN112633960A (en) * 2019-09-24 2021-04-09 北京京东尚科信息技术有限公司 Recommendation information pushing method and device and computer readable storage medium
CN110874659A (en) * 2019-10-08 2020-03-10 上海博泰悦臻网络技术服务有限公司 Meal ordering method, meal ordering server, meal ordering terminal and storage medium
CN110766478A (en) * 2019-10-31 2020-02-07 深圳市云积分科技有限公司 Method and device for improving user connectivity
CN110852870A (en) * 2019-11-01 2020-02-28 腾讯科技(深圳)有限公司 Virtual resource transfer method, device, equipment and readable storage medium
CN110851720A (en) * 2019-11-11 2020-02-28 北京百度网讯科技有限公司 Information recommendation method and device and electronic equipment
CN113157708B (en) * 2020-01-07 2022-09-20 青岛博芬智能科技股份有限公司 Method and device for updating wine information and intelligent wine cabinet
CN113157708A (en) * 2020-01-07 2021-07-23 青岛九石智能科技股份有限公司 Method and device for updating wine information and intelligent wine cabinet
CN113469765A (en) * 2020-03-31 2021-10-01 珠海优特智厨科技有限公司 Order information processing method, device, equipment and computer readable storage medium
CN113469765B (en) * 2020-03-31 2024-04-05 珠海优特智厨科技有限公司 Order information processing method, device, equipment and computer readable storage medium
CN111597434A (en) * 2020-04-10 2020-08-28 广东机电职业技术学院 Takeaway recommendation method, system, device and medium based on user portrait
CN111597434B (en) * 2020-04-10 2023-04-18 广东机电职业技术学院 Takeout recommendation method, system, device and medium based on user portrait
CN112365325A (en) * 2020-12-11 2021-02-12 南京魏东电子商务有限公司 Intelligent advertisement recommendation method based on feature recognition of big data platform
CN113743900A (en) * 2021-09-03 2021-12-03 广东以诺通讯有限公司 Meal ordering reminding method and device, intelligent equipment and storage medium
CN113822745A (en) * 2021-09-28 2021-12-21 北京沃东天骏信息技术有限公司 Article display method and device
WO2023050989A1 (en) * 2021-09-28 2023-04-06 北京沃东天骏信息技术有限公司 Article display method and apparatus
CN117541359A (en) * 2024-01-04 2024-02-09 江西工业贸易职业技术学院(江西省粮食干部学校、江西省粮食职工中等专业学校) Dining recommendation method and system based on preference analysis
CN117541359B (en) * 2024-01-04 2024-03-29 江西工业贸易职业技术学院(江西省粮食干部学校、江西省粮食职工中等专业学校) Dining recommendation method and system based on preference analysis

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