Metadata / Lauderdale / Philadelphia / social network / Busan / New York / Banff / Washington / DC / New Orleans / L.A. / /
Company
Cambridge University Press / Facebook / Oxford University Press / Data-Centric Systems / Wellman / IBM / Google / Recommender Systems / Collexis Holdings Inc. / MEDLINE / /
Country
Canada / United States / Columbia / South Korea / / /
Event
Product Recall / Product Issues / /
Facility
University of Pittsburgh’s Faculty Research Interests Project System / Library Project / University of Pittsburgh / U.S. National Library of Medicine / /
IndustryTerm
work products / evidence that integrating social network / recommendation systems / personal communications logs / professional network / search using social networks / Web documents / recommendation algorithm / expertise location systems / hybrid algorithm / social networks / Web Data Mining / local social network / Social matching systems / recommendation algorithms / evaluated recommendation algorithms / breadth-first search / co-authorship networks / huge online social networking services / location systems / content-based recommendation algorithms / research networking systems / scientific collaboration tool / software / Web Search / social and hybrid recommendation algorithms / social network / wider social networks / direct social networks / adaptive web / web personalization / search results / /
MarketIndex
set 80 / /
Organization
Cambridge University / MeSH Terms Danielle H. Lee & Peter Brusilovsky School of Information Sciences / Titus Schleyer Center for Dental Informatics / University of Pittsburgh / Oxford University / School of Dental Medicine / IDF / United Nations / Expertise Search and Collective Intelligence / National Center for Research Resources / /
Person
Yang / B. Liu / Figure / Danielle H. Lee / D. Thus / Publication / Chen / D. However / / /
Position
first author / author / test author / model for author name disambiguation /
Product
Dijkstra / Jaccard / Cosine / MeSH / /
ProvinceOrState
Alberta / Pennsylvania / Florida / /
Technology
evaluated recommendation algorithms / two algorithms / Dijkstra algorithm / hybrid algorithm / six algorithms / content-based recommendation algorithms / recommendation algorithms / peer-to-peer / hybridization / P2P / machine learning / social and hybrid recommendation algorithms / recommendation algorithm / Data Mining / four algorithms / /
Recommending Collaborators using Social Features and MeSH Terms Danielle H. Lee & Peter Brusilovsky School of Information Sciences, University of Pittsburgh 135 N. Bellefield Ave., Pittsburgh, PAhyl12, peterb]@