Schedule
| Time | |
| 8:30–8:35 | Welcome and Opening Remarks Evgeniy Gabrilovich |
| 8:35–9:30 | KEYNOTE — The DDI Approach to Features: Don’t Do It Ken Church |
| 9:30–10:00 | Online Feature Selection for Information Retrieval Niranjan Balasubramanian, Giridhar Kumaran, and Vitor Carvalho |
| 10:00–10:30 | Hubness in the Context of Feature Selection and Generation Milos Radovanovic, Alexandros Nanopoulos, and Mirjana Ivanovic |
| 10:30–11:00 | Coffee Break |
| 11:00–11:30 | Information Retrieval and Machine Learning at the Long Tail Neel Sundaresan |
| 11:30–12:00 | Greedy RankRLS: a Linear Time Algorithm for Learning Sparse Ranking Models Tapio Pahikkala, Antti Airola, Pekka Naula and Tapio Salakoski |
| 12:00–12:30 | Extensions to Self-Taught Hashing: Kernelisation and Supervision Dell Zhang, Jun Wang, Deng Cai and Jinsong Lu |
| 12:30-14:00 | Lunch |
| 14:00-15:00 | KEYNOTE — Hierarchical Bayesian Models of Language and Text Yeh Whye Teh |
| 15:00-15:30 | Coffee Break |
| 15:30-15:50 | Feature Selection for Document Ranking using Best First Search and Coordinate Ascent Van Dang and W. Bruce Croft |
| 15:50-16:10 | Enhancing Query-oriented Summarization based on Sentence Wikification Yajie Miao and Chunping Li |
| 16:10-16:30 | A Compression Framework for Generating User Profiles Xiaoxiao Shi, Kevin Chang, Vijay K. Narayanan, Vanja Josifovski and Alex J. Smola |
| 16:30-16:50 | An SVM Based Approach to Feature Selection for Topical Relevance Judgement of Feeds Yongwook Shin and Jonghun Park |
| 16:50-17:20 |
Representing and Exploiting Searcher Interaction Data Eugene Agichtein |