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cseweb.ucsd.edu/~jmcauley
Recommender Systems and Personalization Datasets Julian McAuley, UCSD Description This page contains a collection of datasets that have been collected for research by our lab. Datasets contain the following features: user/item interactions star ratings timestamps product reviews social networks item-to-item relationships (e.g. copurchases, compatibility) product images price, brand, and category i
Professor Room 4102 Computer Science Department @ UCSD e-mail: ude.dscu.gne@yeluacmj Personalized Machine Learning My book, Personalized Machine Learning, published by Cambridge University Press, is available here. See the book's website, as well as a freely-available pdf version. Links and Resources Advice to Prospective Students If you are considering internships, PhD applications, or project wo
cseweb.ucsd.edu/~akmenon
cseweb.ucsd.edu/~hovav
cseweb.ucsd.edu/~skeelvee
Deduplication is avoiding storage of multiple copies of the same data. Cloud storage service providers such as Dropbox, Mozy, and others perform deduplication to save space by only storing one copy of each file uploaded. Deduplication does not work with conventional encryption of course: should clients locally encrypt their files with their individual keys, different ciphertexts would emerge even
cseweb.ucsd.edu/~mihir
cseweb.ucsd.edu/~bmcfee
This page contains the source code for the implementation of the Metric Learning to Rank (MLR) algorithm as described in the paper cited below. The algorithm is an extension of Structural SVM which learns a linear transformation of a feature space to optimize ranking loss functions. (Note: the algorithm is based on SVMstruct, but the implementations are independent.) If you have any questions or c
cseweb.ucsd.edu/~dkauchak
Statistical Machine Translation Tutorial Reading The following is a list of papers that I think are worth reading for our discussion of machine translation. I've tried to give a short blurb about each of the papers to put them in context. I've included a number of papers that I marked "OPTIONAL" that I think are interesting, but are either supplementary or the material is more or less covered in t
cseweb.ucsd.edu/~sjb
cseweb.ucsd.edu/~yfreund
Yoav Freund's home page General Information My main area of research is computational learning theory and the related areas in probability theory, information theory, statistics and pattern recognition. I work on applications of machine learning algorithms in big data. Prospective Students If you are a masters or undergrad student currently in UCSD and you are interested in doing a project in data
cseweb.ucsd.edu/~elkan
As a professor in the computer science and engineering department at the University of California, San Diego, my main research interests are in machine learning and data science. I work especially on foundational questions raised by applications in business and biomedicine. Research in my group has been funded by an R01 grant from the National Institutes of Health, by the National Science Foundati
cseweb.ucsd.edu/~goguen
Institutions 1. Motivation The enormous and still growing diversity of logics used in computer science presents a formidable challenge. One approach to bringing some order to this chaos is to formalize the notion of "a logic" and then systematically study general properties of logics using this formalization, including the representation, implementation, and translation of logics. This is the purp
What's New on this site - What's Cool on the web - Quick Links for this site Joseph Goguen Professor, Dept. of Computer Science & Engineering Director, Meaning and Computation Lab Member, Laboratory for Comparative Human Cognition Member, Interdisciplinary PhD Program of the Cognitive Science Dept. Editor in Chief, Journal of Consciousness Studies Advisory board, Center for Computing & th
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