Title :
An Ontology Based Personalized Garment Recommendation System
Author :
Ajmani, Stuti ; Ghosh, Hiranmay ; Mallik, Abhidipta ; Chaudhury, Santanu
Author_Institution :
TCS Innovation Labs., Delhi, Tata Consultancy Services Ltd., Gurgaon, India
Abstract :
We present a novel method for content-based recommendation of media-rich commodities using probabilistic multimedia ontology. The ontology encodes subjective knowledge of experts that enables interpretation of media based and semantic product features in context of domain concepts. Our recommendation is based on semantic compatibility between the products and user profile in context of use. We use probabilistic knowledge representation and reasoning framework to achieve robust and flexible results. The approach has been validated with fashion preferences of several individuals with a large collection of Sarees, an ethnic dress for women in Indian subcontinent.
Keywords :
clothing; content management; inference mechanisms; multimedia systems; ontologies (artificial intelligence); probability; recommender systems; Indian subcontinent; Sarees collection; content-based recommendation; domain concepts; ethnic dress; expert subjective knowledge; fashion preference; media based interpretation; media-rich commodities; ontology based personalized garment recommendation system; probabilistic knowledge representation; probabilistic multimedia ontology; product-user profile semantic compatibility; reasoning framework; semantic product features; Clothing; Cognition; Context; Image color analysis; Media; Ontologies; Probabilistic logic; fashion; multimedia; ontology; reasoning; recommendation;
Conference_Titel :
Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4799-2902-3
DOI :
10.1109/WI-IAT.2013.143
