Julian McAuley
Professor Room 4102 Computer Science Department @ UCSD e-mail: ude.dscu.gne@yeluacmj Personalized Machine Learning My new book, Personalized Machine Learning, published by Cambridge University Press, is now available. See the book's website, as well as a freely-available pdf draft. Links and Resources Advice to Prospective Students If you are considering internships, PhD applications, or project w
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
Learning Visual Clothing Style with Heterogeneous Dyadic Co-occurrences
With the rapid proliferation of smart mobile devices, users now take millions of photos every day. These include large numbers of clothing and accessory images. We would like to answer questions like `What outfit goes well with this pair of shoes?' To answer these types of questions, one has to go beyond learning visual similarity and learn a visual notion of compatibility across categories. In th
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The Elements of Fashion Style
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https://vision.cornell.edu/se3/wp-content/uploads/2014/09/utribes_bmvc13_final.pdf
