Swiss Federal Institute / B UTTERWORTH’s pipeline / University of Rochester / Patagonia Santa Monica store / B UTTERWORTH pipeline / Michael Cafarella University of Michigan / /
IndustryTerm
research systems / social networking sites / social networking site / input network / social network services / large networks / data mining / ego-network / average algorithms / possible solutions / community detection algorithms / ego network / fuzzy clustering algorithm / community detection algorithm / social media / adaptive online language models / micro-blogging systems / list-labeling algorithm / social media data / friend networks / social networks / potential labeling algorithms / social network / search results / Web Services / list-generation algorithms / /
MarketIndex
SET 100 / set 10 / set 55 / /
Organization
University of Michigan / Ann Arbor / Swiss Federal Institute of Technology / National Science Foundation / idf / Association for the Advancement / University of Rochester / National Basketball Association / US Federal Reserve / Artificial Copyright Intelligence / Denver Nuggets / /
Person
Alessandra Mazzia / SER I NFOW IKI / SER I NFO / Michael Jordan / Andrea Pellegrini / Jane / Alice / LeBron James / SER I N FO / / /
Position
trained model for each list / Vintage Yellow Sailor / ranking model for each identified topic / na¨ıve Bayes model for each list / /
Product
B UTTERWORTH / example user Alice / /
ProgrammingLanguage
Java / /
ProvinceOrState
Michigan / /
PublishedMedium
Lecture Notes in Computer Science / /
SportsEvent
the 2012 Olympics / NBA title / /
Technology
three algorithms / list-labeling algorithm / community detection algorithms / labeling algorithm / API / clustering algorithm / weighting algorithms / two algorithms / community detection algorithm / artificial intelligence / Java / eight potential labeling algorithms / data mining / list-generation algorithms / fuzzy clustering algorithm / ranking algorithm / /
Leveraging Noisy Lists for Social Feed Ranking Matthew Burgess, Alessandra Mazzia, Eytan Adar, Michael Cafarella University of Michigan, Ann Arbor {mattburg, amazzia, eadar, michjc} @umich.edu Abstract