Nominees and Winners for Best Paper and Best Student Paper
- Crowdsourcing Annotations of Websites’ Privacy Policies: Can It Really Work?
Shomir Wilson, Florian Schaub, Rohan Ramanath, Norman Sadeh, Fei Liu, Noah Smith & Frederick Liu (Security & Privacy (1), Wed 2–3:30, Room 520BE) - Visualizing Large-scale and High-dimensional Data
Jian Tang, Jingzhou Liu, Ming Zhang & Qiaozhu Mei (Web Mining (1), Thu 11–12:30, Room 516C) - Social Networks Under Stress (WINNER - BEST PAPER AWARD)
Daniel Romero, Brian Uzzi & Jon Kleinberg (Social Networks & Graph Analysis (1), Wed 2–3:30, Room 517D) - Using Hierarchical Skills for Optimized Task Assignment in Knowledge-intensive Crowdsourcing (WINNER - BEST STUDENT PAPER AWARD)
Panagiotis Mavridis, David Gross-Amblard and Zoltan Miklos (Crowdsourcing Systems & Social Media (2), Thu 4–5:30, Room 516DE) - Growing Wikipedia Across Languages via Recommendation
Ellery Wulczyn, Robert West, Leila Zia & Jure Leskovec (Behavioral Analysis & Personalization (3), Fri 11–12:30, Room 517D)
Nominees and Winner for best poster
- Power of Human Curation in Recommendation Systems
Yuchen Liu, Dmitry Chechik & Junghoo Cho - Article De-duplication Using Distributed Representations
Shumpei Okura, Yukihiro Tagami & Akira Tajima - Can One Tamper with the Sample API? -Toward Neutralizing Bias from Spam and Bot Content (WINNER - BEST POSTER)
Fred Morstatter, Harsh Dani, Justin Sampson & Huan Liu - Less is More: Filtering Abnormal Dimensions in GloVe
Yang-Yin Lee, Hao Ke, Hen-Hsen Huang & Hsin-Hsi Chen - A Large Public Corpus of Web Tables containing Time and Context Metadata
Oliver Lehmberg, Dominique Ritze, Robert Meusel and Christian Bizer - Improving Music Recommendation using Distributed Representation
Dongjing Wang, Shuiguang Deng and Guandong Xu