Note: Abstracts of all the talks (and presentation slides for some) are available at the abstracts page.

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