Android点菜软件外文及翻译文档格式.docx

Android点菜软件外文及翻译文档格式.docx

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workshoponAdvancedComputing2013（ICWAC2013）

Intelligente-RestaurantusingAndroidOS

ABSTRACT：

Thesimplicityandeaseofaccessofamenuarethemainthingsthatfacilitateorderingfoodinarestaurant.ATabletmenucompletelyrevolutionizesthepatron’sdiningexperience.ExistingprogramsprovideanappthatrestaurantscanusetofeedtheirmenusintoIOS&

Androidbasedtabletsandmakeiteasierforthedinerstoflip,swipe&

tapthroughthemenu.Wehereaimtoprovidetherestaurantswithatabletmenuthatwouldrecommenddishesbasedonarecommendationalgorithmwhichhasnotbeenimplementedelsewhere.InadditiontothisweruntheapponanAndroidbasedtablet&

notonanIOSbasedtabletwhichismoreexpensivealternative.Weuseacloud-basedserverforstoringthedatabasewhichmakesitinexpensive&

secure.

Keywords：

Recommendation,Tablet,Application,RestaurantMenu,Intelligent,Android

1.INTRODUCTION

Overtheyears,technologyhastremendouslyrevolutionizedtherestaurantindustry.Butmuchoftheinnovationhasbeenwithpoint-of-sale（POS）operations.Yetotherareasofarestaurantareripeforinnovation,suchasthemenu.Traditionalrestaurantservicerequireswaiterstointeractwithcustomersdirectlybeforeprocessingtheirorders.However,ahigh-qualityrecommendationservicesystemwouldactivelyidentifycustomersandtheirfavoritemealsandexpenditurerecords.

Thereisafamoussayingthat“Peopleeatwiththeireyes”.Thee-Menuprovidesadditionalinformationaboutmenuitemsanddrinksthanatraditionalpapermenu.Withinteractivepicturesitgivesadditionalinformationaboutthefooditem.Tabletsaresaidtoeliminateorder-takingerrorsfromthewaiters.Inthekitchen,thereislessconfusionaseverythingisnowwrittenclearly.Developersofsimilarapplicationsmaintainthatcustomerswhoseatattablesoutfittedwithtabletsspendabout20%morethanthoseatothertables.Withthevisuals,youknowexactlywhatyou’regoingtogetinyourplate.Theservicegoesquicker.Tabletsaresaidtoallowcuttingthelaborexpenses.Customersfeelmoreinvolvedintheprocess.Restaurantscanbuildtheire-reputationandcustomercommunityinlive.

Therestaurantmenuhasevolvedfromitshumblebeginningsoncartechalkboardsandimagelessprinttotoday’sdetailed,colorfuldisplays.Withtheemergenceofdigitaltabletsanduser-friendlytouchscreentechnologymenuscanmovetoawholenewsurface.Withthiselectronicmenu,orderscanbetakencorrectlythefirsttime.Thereisnoneedtorunbackandforthtoadistantterminal,becausetheterminalisalwayswiththeserver.Everyorderisassociatedwithanindividualseatatthetable,andordersarebuiltonecustomeratatime,justlikeonpaper,butwithgreateraccuracy.Itemscanalsoeasilybesharedbythewholetable,movedormodified,andnotedandthecostcanbecalculatedinrealtime.

TheRecommendationalgorithmsuggestsdishestothepatronsbasedonpreviousorders.Itmakesiteasierforthecustomertobuildhis/herorderandalsoviewthemostpopulardishes.Moreover,variousdimensionfilterscanbeusedaccordingtoindividualpreferencese.g.Price,taste,quantity,etc.

ThereareseveralrestaurantsinMumbaiwhichhavereplacedthetraditionalpapermenuswiththedigitizedtabletmenu.Butnoneoftheappsletthepatronplaceanorderdirectlytothekitchen.Thetablet’suseisrestrictedtosimpleviewingofthemenu.

2.EXISTINGSYSTEMS

2.1ConventionalSystems

Restaurantservicessuchasmakingreservations,processingorders,anddeliveringmealsgenerallyrequirewaiterstoinputcustomerinformationandthentransmittheorderstokitchenformealpreparation.Whenthecustomerpaysthebill,theamountdueiscalculatedbythecashier.

Althoughthisprocedureissimple,itmaysignificantlyincreasetheworkloadofwaitersandevencauseerrorsinmealorderingorinprioritizingcustomers,especiallywhenthenumberofcustomerssuddenlyincreasesduringbusyhours,whichcanseriouslydegradetheoverallservicequality.

2.2ElectronicPOSTerminals

Averycommonlyimplementedsystem,currentlybeingusedbynumerousrestaurantsandchainsallovertheworld,istheelectronicpoint-of-saleterminalsystem.

Here,theservers/waitersgenerallytaketheorderfromthecustomerandheadontoaterminal,wheretheycanfeedtheorderintoacomputer.Theordercanthenbetransmittedtothekitchenautomaticallyviatheterminalthroughanetwork,oritmayevenbedeliveredmanuallybytheservertothekitchen.

Althoughahugeimprovementoverthepenandpaperstillprevalentovertheworld,thisdoesnothavemuchvalueadditionforthecustomerandmostlyonlybenefitstheestablishmentandtheadministrationoftheestablishment.

2.3TabletBasedMenu

Withthecurrentonslaughtandpopularityoftouchbaseddevices,especiallytheAppleiPad,itdidnottakelongforthetabletbasedmenustomakeanentranceintothemarket.

Intheircurrentstate,thesemenusarejustaglorifiedversionoftheirpaperbasedcounterparts.

Theworkflow,evenwiththesetabletmenus,remainsthesameastheonementionedinsection2.1oracombinationoftheprevioustwo.Thereisverylittlevalueadditiontothecustomerandtheestablishmentoritsstaff.

Theavailabletechnologyisdefinitelynotbeingutilizedtoitsmaximumpotential.

3.PROPOSEDSYSTEM

3.1SystemArchitecture

Thefollowingfigure（Fig3.1）,demonstratesthebasicarchitectureofoursystem.Understandingtheotherintricaciesanddetailsofthesystemwillbecomealoteasierifonegoesthroughthisfigure,beforedivingintotherestofit.

Fig3.1BasicSystemArchitectureandSystemComponents

Thesystemwillconsistofthefollowingcomponents:

Thebackend,whichismadeupofthewebserverandthedatabase,andthefrontendsthatincludeboththepatronfrontend（deliveredasanativemobileapplication）andtheadministrationorthekitchenfrontend（deliveredasawebapplication）.

ThissystemisbasedontheverypopularModel-View-Controller（MVC）architecture.MVCismostcommonlyusedinwebsites,verypopularandtriedandtested.

Noneofthefrontendsdirectly“talk”tothedatabase.TheyinsteadrelyonRESTFULwebservicesthatcanbeusedtoperformCRUDoperationsonthedatabase.

Fig3.2Flowchart

Thefollowingfigure（Fig3.2）demonstratestheflowofourtabletapplication.

3.2SystemOverview

Themostimportantcomponentsofthissystemarethedatabaseandthepatronfrontendsorthetabletapplications.

Providingvaluetoboththebusinessanditspatronisanimportantobjective,butwebelievethatonefollowstheother.Followingthatbelief,thecustomerisgivenawholelotofimportance.

Thepatronwillbepresentedwithatablet,runningtheAndroidOS.Thistabletwillbesynchronizedwiththedatabaserunningonourcentralizedcloudpoweredservers.

Themenudata,uponsynchronization,isstoredonlocallyonthetabletssothattheuser,i.e.patron,neednotwaitforthemenutobedownloadedfromtheservers.Thiswillallowfasteraccesstothemenu.

Theusercanthenbrowsethemenuhowevertheywantto,sortingtheitemsonvariousdimensionslikeprice,popularity,ratings,etc.Theusercanalsoclickthroughtoviewmoreinformationaboutanyitemlikenutritionalinformation,ingredients,triviaandanyothercontentthattherestaurantadministrationmayfeellikeincluding.

Theusercanalsoviewpersonalizedrecommendationsforitemsthattheymaylike.Thisisoneofthemostimportantaspectsofoursystemthatnotonlyenhancesthecustomerexperiencebutcanalsohelpincreaserevenueforthebusiness.

Whilebrowsingthroughthemenu,thecustomermayadditemstohis/herorder.Thisprocessiscommonlyknownas“buildingtheorder”.Aftertheorderisbuiltandread,theusermaygoaheadandplacetheorder.Thestaffwillautomaticallyandalmostinstantlybenotifiedaboutthenewordersothattheycanactonit.

Iftheestablishmentallows,theusermayeventrackthestatusoftheirordersothattheyknowwhentoexpecttheirfoodanddrinkstolandupontheirtable.

3.3RecommendationOverview

Therecommendationalgorithmisaninnovativefeaturethatweaimtoincludeinourmenu.Whenmosttabletmenusprovidethecustomerswithonlyasimplemenu,thissystemwillproviderecommendationswhichwillmakeiteasiertobuildanorderconsideringwhatothercustomershaveorderedpreviouslyorthesimilaritiesbetweenvariousdishes.

Recommendationsystemsusingsetswereconsidered.

Wefinallydecidedtousethebelowmethodology,whichhasbeendiscussedinanearlierstudy.

Thealgorithmmainlyhas5parts:

1.Users-acertainnumberofpeoplearemadetorateindividualfooditems.

2.Entities-thefooditems.

3.ValueDimensions-thecategoriesthatareformedtoratethefooditemse.g.Price,quality,meatcontent,etc.

4.BeliefSystem-ispersonaltoeachuser&

allowstellingthesystemwhatidealvaluetheywanteachvaluedimensiontohave.

5.Idealcandidate-setofidealvaluedimensionsthatareformedonthebasisofaweightedaverage.

EachUserratesafooditemonascaleof1to5withrespecttotwothings:

1.User’sidealvaluedimension.

2.Theweightortheimportanceofthatvaluedimension.

Withthefooditemssetinplace,ournexttaskwastoanalyzethevariousattributesthatwereassociatedwitheachfooditem.Weappliedafooditemclickcountertotheentiredataset,whichproducedalistofthemostviewedfooditem.AfterlistingouttheTopNclickedfood-itemsbythecustomers,weapply