Internship Opportunities at LinkedIn
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’
Going (to) Google
This is my last week at Endeca. The decision to leave has been a heart-wrenching one: not only have the past ten years been the best of my life, but my experiences at Endeca have defined me professionally. Moreover, Endeca is riding a wave of success with recent advances in our products, new relationships with key partners, and fascinating new deployments. (You can read Endeca’s latest announceme
SIGIR 2009: Day 1
SIGIR ’09 is in full swing! I arrived on Sunday evening, and the reception was like Cheers (“where everyone knows your name“)–only that, at least in my case, I was meeting many people face-to-face for the first time in years, and in some cases for the first time, period! I reconnected with some of the SIGIR regulars whom I’d missed last year (Singapore was a bit far for me), finally met my editor,
SIGIR ’09 Accepted Papers
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
A Twitter Analog to PageRank
A few weeks ago, there was a flame war about Twitter authority, and I was all too eager to throw fuel on the pyre. But now that the blogosphere has calmed down a bit, I’d like to propose a ranking measure that I think might work. My apologies if it isn’t original. In fact, if you’ve seen it elsewhere, please point me to it. Let me start with the assumptions about the model: Influence(X) = Expected
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
WSDM 2010: Day 1
Looking for a IR / Data Mining Job?
Ranked Set Retrieval
How Google Measures Search Quality | The Noisy Channel