0000000000791307

AUTHOR

Jorge Meira

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At Your Service: Coffee Beans Recommendation From a Robot Assistant

2020

With advances in the field of machine learning, precisely algorithms for recommendation systems, robot assistants are envisioned to become more present in the hospitality industry. Additionally, the COVID-19 pandemic has also highlighted the need to have more service robots in our everyday lives, to minimise the risk of human to-human transmission. One such example would be coffee shops, which have become intrinsic to our everyday lives. However, serving an excellent cup of coffee is not a trivial feat as a coffee blend typically comprises rich aromas, indulgent and unique flavours and a lingering aftertaste. Our work addresses this by proposing a computational model which recommends optima…

FOS: Computer and information sciencesService (systems architecture)business.industryComputer scienceFeature vectorSupervised learningComputer Science - Human-Computer InteractionComputingMilieux_PERSONALCOMPUTING02 engineering and technologyRecommender systemMachine learningcomputer.software_genreField (computer science)GeneralLiterature_MISCELLANEOUSComputer Science - Information RetrievalPersonalizationHuman-Computer Interaction (cs.HC)0202 electrical engineering electronic engineering information engineeringRobotUnsupervised learning020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerInformation Retrieval (cs.IR)
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