Entries Tagged as 'General'

Office Hours at Cambridge Brewing Company

October 1st, 2012 · 3 Comments · General

I’ll be in Cambridge, MA this Thursday and Friday for the Sixth Symposium on Human-Computer Interaction and Information Retrieval (HCIR 2012). Hope to see many of you there! But I’ll also have a few hours on Wednesday evening to meet people informally. If you’re interested in learning more about LinkedIn, data science or anything else, then hop […]

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HCIR 2012 Symposium: Oct 4-5 in Cambridge, MA

September 21st, 2012 · 1 Comment · General

It’s the event you’ve been waiting for: the Sixth Symposium on Human-Computer Interaction and Information Retrieval! HCIR 2012 will take place October 4th and 5th at IBM Research in Cambridge, MA. Who should attend? Researchers, practitioners, and anyone else interested in the exciting work at the intersection of HCI and IR. Areas like interactive information retrieval, exploratory search, and information visualization. […]

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LinkedIn Presentations at RecSys 2012

September 16th, 2012 · 2 Comments · General

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 […]

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RecSys 2012: Beyond Five Stars

September 14th, 2012 · 7 Comments · General

I spent the past week in Dublin attending the 6th ACM International Conference on Recommender Systems (RecSys 2012). This young conference has become the premier global forum for discussing the state of the art in recommender systems, and I’m thrilled to have has the opportunity to participate. Sunday: Workshops The conference began on Sunday with […]

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Content, Connections, and Context

September 9th, 2012 · 3 Comments · General

This is keynote presentation I delivered at the Workshop on Recommender Systems and the Social Web, held as part of the 6th ACM International Conference on Recommender Systems (RecSys 2012): Content, Connections, and Context  Recommender systems for the social web combine three kinds of signals to relate the subject and object of recommendations: content, connections, and context. Content […]

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LinkedIn at RecSys 2012

September 4th, 2012 · 6 Comments · General

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 […]

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Panos Ipeirotis talking at LinkedIn about Crowdsourcing!

August 30th, 2012 · 2 Comments · General

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 […]

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Data Werewolves

August 23rd, 2012 · 4 Comments · General

Thank you Scott Adams for the free advertising. Of course, LinkedIn is the place to find data werewolves.   Want to find more data werewolves. Check out my team! Don’t worry, they only bite when they’re hungry.

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Matt Lease: Recent Adventures in Crowdsourcing and Human Computation

August 20th, 2012 · 2 Comments · General

Today we (specifically, my colleague Daria Sorokina) had the pleasure of hosting UT-Austin professor Matt Lease at LinkedIn to give a talk on his “Recent Adventures in Crowdsourcing and Human Computation“. It was a great talk, and the slides above are full of references to research that he and his colleagues have done in this […]

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WTF! @ k: Measuring Ineffectiveness

August 20th, 2012 · 19 Comments · General

At SIGIR 2004, Ellen Voorhees presented a paper entitled “Measuring Ineffectiveness” in which she asserted: Using average values of traditional evaluation measures [for information retrieval systems] is not an appropriate methodology because it emphasizes effective topics: poorly performing topics’ scores are by definition small, and they are therefore difficult to distinguish from the noise inherent […]

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