UMSI professors’ papers shortlisted for WSDM award
Two papers co-authored by UMSI professors have made the shortlist for Best Paper Award at the 2016 Web Search and Data Mining (WSDM) Conference.
UMSI associate professor Eytan Adar contributed to “Information Evolution in Social Networks,” with lead author Lada A. Adamic of Facebook, Thomas M. Lento of Facebook and Pauline C. Ng of the Genome Institute of Singapore.
Also on the short list of three finalists is “Beyond Ranking: Optimizing Whole-Page Presentation,” co-authored by UMSI associate professor Qiaozhu Mei. U-M computer science and engineering PhD candidate Yue Wang led the study with collaboration from Dawei Yin, Roger Jie Luo, Pengyuan Wang, Makato Yamada and Yi Chang, all of Yahoo! Labs.
Mei and Adar were also co-authors on another paper accepted for presentation at WSDM, “Ego Set: Exploiting Word Ego-networks and User-generated Ontology for Multifaceted Set Expansion.” UMSI PhD candidate Xin Rong led the study, with contributions from U-M computer science PhD candidate Zhe Chen. Rong will also participate in the WSDM doctoral consortium.
WSDM, pronounced “wisdom,” is one of the top conferences on web-inspired research on data mining and search. The 2016 conference takes place this year in San Francisco, February 22-25, where the Best Paper winner will be announced.