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WSDM 2011 – Best paper awards

Best paper award: Unbiased Offline Evaluation of Contextual bandit based News Article Recommendation Algorithms by Lihong Li, Wei Chu, John Langford and Xaunhui WangBest student paper award: Correcting for Missing Data in Information Cascades by Eldar… → Read More: WSDM 2011 – Best paper awards

"Bing Dialogue Model"by Harry Shum – Second WSDM 2011 Keynote

The 2nd keynote talk at WSDM 2011 was an intriguing peak at the Bing’s model of user intent, by Harry Shum, VP of Search Product Development, Microsoft.* Challenges at launch* Google market share has been steadily growing from 2005-2008 (Bing launch)* … → Read More: "Bing Dialogue Model"by Harry Shum – Second WSDM 2011 Keynote

"Mining Billion-node Graphs: Patterns, Generators and Tools" Christos Faloutsos – First WSDM 2011 Keynote

Christos Faloutsos, Professor at Dept. of Computer Science, CMU, gave an excellent keynote this morning on pattern mining in large scale graphs. Below is a brief summary of this keynote. · Why should we care about graphs? o Internet Map … → Read More: "Mining Billion-node Graphs: Patterns, Generators and Tools" Christos Faloutsos – First WSDM 2011 Keynote

ACM Multimedia 2011

http://www.acmmm11.org ACM Multimedia 2011 is the worldwide premier multimedia conference and a key event to display scientific achievements and innovative industrial products. The conference offers to scientists and practitioners in the area of multim… → Read More: ACM Multimedia 2011

Hubs

The Journal of Universal Rejection.
Don’t become a scientist.
Building self-esteem and self-discipline amongst LA kids in gang-ridden neighbourhoods — through cricket (!).
A large-scale statistical self-evaluation of Australian university research against world standards finds that Australian universities are below world standard in statistics research.
Today I learnt, R has support for inline C++.
Simple models are often as accurate [...] → Read More: Hubs

Spam filtering for web results

The popular history of web search holds that Google buried its competition in part because its PageRank algorithm solved, for a time, the problem of web spam; and some pundits now assert that not merely Google, but algorithmic search in general, is loosing its battle against the spammers. Spam has attracted much less [...] → Read More: Spam filtering for web results

WSDM 2011 coverage

As I am attending WSDM 2011 in Hong Kong to present a paper, I will be taking over Jeff’s blog for the next week. Expect posts about invited talks by Christos Faloutsos and Harry Shum, best paper award updates and more.Comment if you have any wishes or… → Read More: WSDM 2011 coverage

Recommendations needed

In one of our research projects, we are trying to compare some alternative algorithms for generating recommendations based on content similarity. As you might expect, we have some data we’re playing with, but the data is noisy and sometimes it’s hard to make sense of the variability: is it due to noise in the data, [...] → Read More: Recommendations needed

Google vs. Bing: A Tweetle Beetle Battle Muddle

Unless you’ve been living in a cone of silence, you’ve probably heard about the epic war of words between Google and Bing. But just in case, here’s a quick summary: Amit Singhal, Google Fellow: “Microsoft’s Bing uses Google search results—and denies it“: Bing is using some combination of: Internet Explorer 8, which can send data […] → Read More: Google vs. Bing: A Tweetle Beetle Battle Muddle

Google vs. Bing: A Tweetle Beetle Battle Muddle

Unless you’ve been living in a cone of silence, you’ve probably heard about the epic war of words between Google and Bing. But just in case, here’s a quick summary: Amit Singhal, Google Fellow: “Microsoft’s Bing uses Google search results—and denies it“: Bing is using some combination of: Internet Explorer 8, which can send data […] → Read More: Google vs. Bing: A Tweetle Beetle Battle Muddle