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I had a great audience, including the department head! Of course that meant fielding tough questions, but that’s what makes it fun to present at my alma mater. Now that it’s been over a decade since my defense, I can handle the tough questions. 🙂 Unfortunately there is no video, but hopefully the slides are reasonably self-explanatory. If you have questions, please ask them in the comments.
One of the perks of working at LinkedIn is being surrounded by intellectually curious colleagues. I recently joined a reading group and signed up to lead our discussion of a WSDM 2011 paper on “Identifying ‘Influencers’ on Twitter” by Eytan Bakshy, Jake Hofman, Winter Mason, and Duncan Watts. It’s great to see the folks at Yahoo! Research doing cutting-edge work in this space. I thought I’d prepar
Do you love big data? Do you enjoy applying your skills in data mining, machine learning, information retrieval and data visualization? Are you a hands-on implementer who can turn your ideas into reality, whether in Java or Python? Are you turned on by NoSQL technologies like Hadoop, Pig, and Voldemort? And one last question…are looking for an exciting internship opportunity this summer? Then you’
The increasing volume of data that we generate as a species is a story so overplayed as to have become trite. Indeed, a vast amount of this data is in the public domain, including data from the full text and common ngrams of books, genome research, the United States census, and much more. There is also open-source software not only to crawl the web, but also to search the data your crawl. So, if
Thanks to Jeff Dalton for alerting me to SIGIR 2009 announcing the lists of accepted papers and posters. As Jon Elsas points out, the authorship looks quite different this year than from previous years, with industry showing an especially strong presence: 38% of the papers have at least one author from Microsoft (21 papers), Yahoo! (7 papers), or Google (3 papers) No papers from current UMass rese
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