Schedule

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

Time	Event
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