home › event - eddi: interactive topic-based browsing of social status streams

EVENT:

Eddi: Interactive topic-based browsing of social status streams
Conferences & Talks

ACM UIST 2010

6 October 2010

 

description

Twitter streams are on overload: active users receive hundreds of items per day, and existing interfaces force us to march through a chronologically ordered morass to find tweets of interest. We present an approach to organizing a user's own feed into coherently clustered trending topics for more directed exploration. Our Twitter client, called Eddi, groups tweets in a user’s feed into topics mentioned explicitly or implicitly, which users can then browse for items of interest. To implement this topic clustering, we have developed a novel algorithm for discovering topics in short status updates powered by linguistic syntactic transformation and callouts to a search engine. An algorithm evaluation reveals that search engine callouts outperform other approaches when they employ simple syntactic transformation and backoff strategies. Active Twitter users evaluated Eddi and found it to be a more efficient and enjoyable way to browse an overwhelming status update feed than the standard chronological interface.

 

upcoming events   view all 

PARC at Clean Energy Ministerial Startups & Solutions Showcase
Matthew Klenk, Filip Dvorak
1 June 2016 - 2 June 2016 | San Francisco, CA
Conferences & Talks  

Passive Radiative Cooling
Bernard Casse
2 June 2016 | Hollywood Beach, FL
Conferences & Talks  

Man + Machine
Rob McHenry
22 June 2016 | San Jose, CA
Conferences & Talks  

Designing for Longevity: The 10,000 Year Clock Project
Alexander Rose
30 June 2016 | George E. Pake Auditorium, PARC
PARC Forum