The SIGIR program has been posted. I'm looking forward to:
- Learning User Interaction Models (Agichtein, Brill, Dumais, Rango)
- Improving the Estimation of Relevance Models (Diaz, Metzler)
- LDA-based Document Models (Wei, Croft)
- Tackling Concept Drift by Temporal Inductive Transfer (Forman)
- Large Scale Semi-supervised Linear SVMs (Sindhwani, Keerthi)
One thing that surprises me is the distribution of industry labs' papers. There are 12 papers with at least one Microsoft author, four for IBM, but only one each for Yahoo and Google (and the Google one was work done while the relevant author was at IBM, I believe). Does MSR just encourage publication more? Or is it more closely tied to SIGIR (SIGIR is in Seattle this year)? Or did Yahoo and Google just get unlucky with reviews?
3 comments:
Dennis DeCoste (at Yahoo!) points out:
To put the SIGIR paper counts in perspective, keep in mind that Yahoo! Research is relatively new and order of magitude smaller than MSR and IBM Research right now (but growing rapidly). Also, in addition to the paper on SVMs by YR's Sathiya Keerthi, there is also a paper by Ricardo Baeza-Yates, who joined YR this year. So, the per capita (researcher) result for YR seems at least as good as
the others, actually.
I think he's probably right, esp. regarding size. I'm not sure how Google compares in this regard.
LDA-Based Document Models for Ad-hoc Retrieval:
http://ciir.cs.umass.edu/personnel/IR-464.pdf
LDA embedded in Language Model, neither ref to Blei and Lafferty NIPS'05 paper nor semantic manifold-based models.
酒店經紀PRETTY GIRL 台北酒店經紀人 ,禮服店 酒店兼差PRETTY GIRL酒店公關 酒店小姐 彩色爆米花酒店兼職,酒店工作 彩色爆米花酒店經紀, 酒店上班,酒店工作 PRETTY GIRL酒店喝酒酒店上班 彩色爆米花台北酒店酒店小姐 PRETTY GIRL酒店上班酒店打工PRETTY GIRL酒店打工酒店經紀 彩色爆米花
Post a Comment