@INPROCEEDINGS{jaradat_cnn,
author={S. {Jaradat} and N. {Dokoohaki} and K. {Hammar} and U. {Wara} and M. {Matskin}},
booktitle={2018 IEEE Intl Conf on Parallel Distributed Processing with Applications, Ubiquitous Computing Communications, Big Data Cloud Computing, Social Computing Networking, Sustainable Computing Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom)},
title={Dynamic CNN Models for Fashion Recommendation in Instagram},
year={2018},
volume={},
number={},
pages={1144-1151},
keywords={clothing;convolutional neural nets;data mining;learning (artificial intelligence);pattern classification;recommender systems;social networking (online);text analysis;social networking service;deep CNN models;multiclass multilabeled classification;Dynamiclayers;baseline fashion dataset;mined text;classification layers exist;dynamic framework;DynamicLayers;clothing attributes;clothing item category;adaptive neural pruning;visual classification;valuable social media textual content;hierarchical fashion datasets;neural classifiers;clothing item attributes;hierarchical space;inherent fashion-related data issues;fashion influencer;business growth;fashion brands;online photo-sharing;Instagram;fashion recommendation;dynamic CNN models;Clothing;Task analysis;Ontologies;Computational modeling;Text analysis;Text mining;Neural networks;Neural Pruning;Dynamic Computation Graph;Dynamic CNN;Image Classification;Text Mining;Fashion Recommendation},
doi={10.1109/BDCloud.2018.00169},
ISSN={null},
month={Dec},}