AUTOMATED RECOMMENDATION AND VIRTUALIZATION SYSTEMS AND METHODS FOR E-COMMERCE

Visual appearance is a significant aspect of how we perceive others and how we want to be perceived. With items such as eyewear, make-up and facial jewelry the style, colour, size not only impact how others perceive us based upon the selections themselves but also how these fit or suit the user'...

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Bibliographic Details
Main Authors POPA, Tiberiu, ASOODEH, Amir Zafar
Format Patent
LanguageEnglish
Published 20.09.2018
Subjects
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Summary:Visual appearance is a significant aspect of how we perceive others and how we want to be perceived. With items such as eyewear, make-up and facial jewelry the style, colour, size not only impact how others perceive us based upon the selections themselves but also how these fit or suit the user's face, which is unique. With online retailing the purchaser does not get feedback as in bricks-and-mortar retailing from friends, retail assistants etc. At best the user is exposed to a basic recommendation system which is generally procedural based with a priori aesthetic rules and user classification. However, users are often incorrect in their classification of themselves whilst the aesthetic rules are hidden, can contradict, and do not take into account current fashion, age or culture. Embodiments of the invention provide automated recommendation engines for retail applications based upon simply acquiring an image of the user.
Bibliography:Application Number: US201615541525