making sense of twitter search gene golovchinsky / fxpal miles efron / uiuc

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Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

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Page 1: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

Making Sense of Twitter Search

Gene Golovchinsky / FXPALMiles Efron / UIUC

Page 2: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

100,000,000 people can’t be wrong

Page 3: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

All the cool researchers are doing it

Page 4: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

There is Science in everything

Page 5: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

We can build something cool

Page 6: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

Maybe we can build something useful!

Page 7: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

How do we know we’ve succeeded?

Page 8: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

Test collections (data sets) are one way to evaluate systems

Page 9: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

The fire hose is not a test collection

Page 10: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

Test collection to-do list

• Research questions

• Data collection methodology

• Metrics

• Data!

Page 11: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

What are we trying to study?The network?

Page 12: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

Or the person?

Page 13: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

We’re interested in interactive search

Page 14: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

What do people look for on Twitter?

• Trending topics

• Events

• Specific tweets

• Catching up

• Etc.

Page 15: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

First Steps

Page 16: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

First Steps

Page 17: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

First Steps

Page 18: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

Evaluation in Information Retrieval

• Need a collection

• Need tasks

• Need metrics

• Ground Truth helps

Page 19: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

How do we sample the data?

• By time, by topic, randomly? …

Page 20: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

How do we measure?

Page 21: Making Sense of Twitter Search Gene Golovchinsky / FXPAL Miles Efron / UIUC

Credits

• Title slide– http://www.flickr.com/photos/matthamm/

3383916444/ Matt Hamm– http://www.flickr.com/photos/nixart/370553161/

nixArt• “10,000 people can’t be wrong”

– http://www.flickr.com/photos/luc/1824234195/ luc legay

• “All the cool researchers are doing it” – Gene Golovchinsky

• “There is science in everything”– Gene Golovchinsky

• “We can build something cool”– http://www.flickr.com/photos/donpezzano/

3230179951/ urban don• “Maybe we can build something useful!”

– http://www.flickr.com/photos/herzogbr/2274372747/ herzogbr

• “How do we know we’ve succeeded?”– http://www.flickr.com/photos/

14696088@N04/1606128341/ 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”

– http://www.flickr.com/photos/magh/2565471904/ Magh

• “Test collection to-do list”– http://www.flickr.com/photos/ario/3362388566/

ario_• “What are we trying to study? The network?”

– http://www.flickr.com/photos/meg/3533025291 Meg Pickard

• “Or the person?”– Gene Golovchinsky

• We are interested in interactive search– http://www.flickr.com/photos/dullhunk/

3389581452/ dullhunk• What do people look for on Twitter?

– http://www.flickr.com/photos/kevglobal/3170506186/ kevglobal

• First steps (3)– Gene Golovchinsky

• Evaluation in Information Retrieval– http://www.flickr.com/photos/ozyman/

155517365/ Ozyman• How do we sample the data?

– http://www.flickr.com/photos/red_devil/18540700/ SeenyaRita

– http://www.flickr.com/photos/texasrobo/4185851361/ texasrobo

• How do we measure?– http://www.flickr.com/photos/jurvetson/

17945646/ jurvetson