Making Sense of Twitter Search. Gene Golovchinsky / FXPAL Miles Efron / UIUC. 100,000,000 people can ’ t be wrong. All the cool researchers are doing it. There is Science in everything. We can build something cool. Maybe we can build something useful!. How do we know we’ve succeeded?.
Gene Golovchinsky / FXPAL
Miles Efron / UIUC
http://www.flickr.com/photos/matthamm/3383916444/ Matt Hamm
“10,000 people can’t be wrong”
http://www.flickr.com/photos/luc/1824234195/ luc legay
“All the cool researchers are doing it”
“There is science in everything”
“We can build something cool”
http://www.flickr.com/photos/donpezzano/3230179951/ urban don
“Maybe we can build something useful!”
“How do we know we’ve succeeded?”
http://www.flickr.com/photos/[email protected]/1606128341/ rstrawser
“Test collections (data sets) are one way to evaluate systems”
http://www.flickr.com/photos/_after8_/4052028795/ Régis Gaidot
“The fire hose is not a test collection”
“Test collection to-do list”
“What are we trying to study? The network?”
http://www.flickr.com/photos/meg/3533025291 Meg Pickard
“Or the person?”
We are interested in interactive search
What do people look for on Twitter?
First steps (3)
Evaluation in Information Retrieval
How do we sample the data?
How do we measure?