Entries from September 2012

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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