We found 130 results for your search.
Last year, I had the pleasure of co-organizing the CIKM 2011 Industry Event in Glasgow. This year, I’m honored to be part of the CIKM 2012 Industry Event program, along with top industry researchers from Adobe, eBay, Google, Groupon, IBM, Microsoft, Tencent, and Walmart Labs. I’ll be giving a talk on “Data By The People, […]
LinkedIn showed up in force at the 6th ACM International Conference on Recommender Systems (RecSys 2012)! Here are the slides from all of our presentations. Daniel Tunkelang: Content, Connections, and Context Mario Rodriguez, Christian Posse, and Ethan Zhang: Multiple Objective Optimization in Recommender Systems Anmol Bhasin: Beyond Ratings and Followers Mohammad Amin, Baoshi Yan, Sripad […]
LinkedIn is an industry leader in the area of recommender systems — a place where big data meets clever algorithms and content meets social. If you’re one of the 175M+ people using LinkedIn, you’ve probably noticed some of our recommendation products, such People You May Know, Jobs You Might Be Interested In, and LinkedIn Today. So it’s […]
Sharing knowledge is part of our core culture at LinkedIn, whether it’s through hackdays or contributions to open-source projects. We actively participate in academic conferences, such as KDD, SIGIR, RecSys, and CIKM, as well as industry conferences like QCON and Strata. Beyond sharing our own knowledge, we provide a platform for researchers and practitioners to share their insights with the technical community. We […]
Lots of people ask me what it’s like to be a data scientist at LinkedIn. The short answer: it’s awesome. Folks like Pete Skomoroch and team are building data products related to identity and reputation, such as Skills and InMaps. Yael Garten is leading the effort to understand and increase mobile engagement. And other folks work […]
As regular readers know, I have a deep affection for Carnegie Mellon University, where I did my graduate work. I’m happy to announce that two of my colleagues (both fellow CMU PhDs) will be giving talks at CMU in a couple of weeks, and I hope that some of you will have the opportunities to […]
Last week, I delivered the following presentation at the CMU Intelligence Seminar: http://static.slidesharecdn.com/swf/ssplayer2.swf?doc=keepingitprofessional-110930233231-phpapp02&stripped_title=keeping-it-professional-relevance-recommendations-and-reputation-at-linkedin&userName=dtunkelang 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 […]
LinkedIn Hackdays are an awesome opportunity for innovation — learn more about them here. But first check out this unusual entry by Hackday master Dhananjay Ragade, whose previous hacks include the LinkedIn Year in Review: http://www.xtranormal.com/site_media/players/jw_player_v54/player.swf Don’t worry, it’s safe for work. Well, unless you work for Linden Lab. 🙂
This afternoon, I met with a couple of Stanford seniors to advise them on a startup they’ve been developing and targeting towards mid-sized online retailers. I’d expected to spend most of the time talking about their technology and customer development strategy — and we did indeed talk about these things. But we spent most of […]
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 […]
The Noisy Channel 