Just read this article citing a number of studies to the effect that email is a major productivity drain. Nothing surprising to me--a lot of us have learned the hard way that the only way to be productive is to not check email constantly.
But I am curious if anyone has made progress on tools that alert you to emails that do call for immediate attention. I'm personally a fan of attention bonds approaches, but I imagine that the machine learning folks have at least thought about this as a sort of inverse spam filtering problem.
Showing posts with label machine learning. Show all posts
Showing posts with label machine learning. Show all posts
Wednesday, September 10, 2008
Thursday, July 10, 2008
Nice Selection of Machine Learning Papers
John Langford just posted a list of seven ICML '08 papers that he found interesting. I appreciate his taste in papers, and I particularly liked a paper on Learning Diverse Rankings with Multi-Armed Bandits that addresses learning a diverse ranking of documents based on users' clicking behavior. If you liked the Less is More work that Harr Chen and David Karger presented at SIGIR '06, then I recommend you check this one out.
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Showing posts with label machine learning. Show all posts
Showing posts with label machine learning. Show all posts
Wednesday, September 10, 2008
Quick Bites: Email becomes a Dangerous Distraction
Just read this article citing a number of studies to the effect that email is a major productivity drain. Nothing surprising to me--a lot of us have learned the hard way that the only way to be productive is to not check email constantly.
But I am curious if anyone has made progress on tools that alert you to emails that do call for immediate attention. I'm personally a fan of attention bonds approaches, but I imagine that the machine learning folks have at least thought about this as a sort of inverse spam filtering problem.
But I am curious if anyone has made progress on tools that alert you to emails that do call for immediate attention. I'm personally a fan of attention bonds approaches, but I imagine that the machine learning folks have at least thought about this as a sort of inverse spam filtering problem.
Thursday, July 10, 2008
Nice Selection of Machine Learning Papers
John Langford just posted a list of seven ICML '08 papers that he found interesting. I appreciate his taste in papers, and I particularly liked a paper on Learning Diverse Rankings with Multi-Armed Bandits that addresses learning a diverse ranking of documents based on users' clicking behavior. If you liked the Less is More work that Harr Chen and David Karger presented at SIGIR '06, then I recommend you check this one out.
Subscribe to:
Posts (Atom)
Showing posts with label machine learning. Show all posts
Showing posts with label machine learning. Show all posts
Wednesday, September 10, 2008
Quick Bites: Email becomes a Dangerous Distraction
Just read this article citing a number of studies to the effect that email is a major productivity drain. Nothing surprising to me--a lot of us have learned the hard way that the only way to be productive is to not check email constantly.
But I am curious if anyone has made progress on tools that alert you to emails that do call for immediate attention. I'm personally a fan of attention bonds approaches, but I imagine that the machine learning folks have at least thought about this as a sort of inverse spam filtering problem.
But I am curious if anyone has made progress on tools that alert you to emails that do call for immediate attention. I'm personally a fan of attention bonds approaches, but I imagine that the machine learning folks have at least thought about this as a sort of inverse spam filtering problem.
Thursday, July 10, 2008
Nice Selection of Machine Learning Papers
John Langford just posted a list of seven ICML '08 papers that he found interesting. I appreciate his taste in papers, and I particularly liked a paper on Learning Diverse Rankings with Multi-Armed Bandits that addresses learning a diverse ranking of documents based on users' clicking behavior. If you liked the Less is More work that Harr Chen and David Karger presented at SIGIR '06, then I recommend you check this one out.
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