Categorizing images with deep learning into Elasticsearch
Deepdetect is a young open source deep-learning server and API designed to help in bridging the gap toward machine learning as a commodity. It originates from a series of applications built for a handful of large corporations and small startups. It has support for Caffe, one of the most appreciated libraries for deep learning, and it easily connects to a range of sources and sinks. This enables de
How We Use Deep Learning to Classify Business Photos at Yelp
Yelp hosts tens of millions of photos uploaded by Yelpers from all around the world. The wide variety of these photos provides a rich window into local businesses, a window we’re only just peeking through today. One way we’re trying to open that window is by developing a photo understanding system which allows us to create semantic data about individual photographs. The data generated by the syste
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
Modern recommender systems model people and items by discovering or `teasing apart' the underlying dimensions that encode the properties of items and users' preferences toward them. Critically, such dimensions are uncovered based on user feedback, often in implicit form (such as purchase histories, browsing logs, etc.); in addition, some recommender systems make use of side information, such as pr
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