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WorldCist'17 - 5th World Conference on Information Systems and Technologies

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Understanding and Personalising Clothing Recommendation for Women

In this paper, we introduce an approach for clothing personalized recommendation system that is able to recommend clothing categories with models linked to clothing images to women, based on their fashion styles and body types. To achieve this, our recommendation approach deals with three main modules: the first is responsible for automatically identifying the fashion style, and the second is responsible for detecting body type, and the third is responsible for recommending clothing models with images taking into account the information about her fashion style and her body type. We have considered the following 5 clothing categories: dresses, coats, tops, sweaters, jackets. We evaluated our recommendation approach and preliminary results indicate that it significantly supports the users with adequate clothing choices

Author(s):

Evandro Costa    
UFAL
Brazil

Hemilis Rocha    
IFAL
Brazil

Emauele Tuane    
UFAL
Brazil

Caroline UFAL    
Lima
Brazil

Juliana Cavalcanti    
UFAL
Brazil

 

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