Model: VGG16 Xception
Data set: Amazon Image recommender dataset link.
Product Category Prediction Task: Xception model with transfered learning.
k-NN indexer: Annoy library by spotify link.
k-NN engine for similarity retrieval: the k-NN engine will retrieve the nearest 30 feature vectors and their product id in the predicted product category through similarity retrieval
Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering
R. He, J. McAuley
WWW, 2016
(http://cseweb.ucsd.edu/~jmcauley/pdfs/www16a.pdf)
Image-based recommendations on styles and substitutes
J. McAuley, C. Targett, J. Shi, A. van den Hengel
SIGIR, 2015
(http://cseweb.ucsd.edu/~jmcauley/pdfs/sigir15.pdf)
Image-based Product Recommendation System with Convolutional Neural Networks
Luyang Chen, Fan Yang, Heqing Yang
CS231n, 2017
(http://cs231n.stanford.edu/reports/2017/pdfs/105.pdf)