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SIGIR
2009
ACM
16 years 1 months ago
Predicting user interests from contextual information
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Ryen W. White, Peter Bailey, Liwei Chen
SIGIR
2009
ACM
16 years 1 months ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...
IRI
2008
IEEE
16 years 1 months ago
Biological question answering with syntactic and semantic feature matching and an improved mean reciprocal ranking measurement
Specific information on biomolecular events such as protein-protein and gene-protein interactions is essential for molecular biology researchers. However, the results derived by c...
Ryan T. K. Lin, Justin Liang-Te Chiu, Hong-Jie Dai...
IRI
2007
IEEE
16 years 1 months ago
MAGIC: A Multi-Activity Graph Index for Activity Detection
Suppose we are given a set A of activities of interest, a set O of observations, and a probability threshold p. We are interested in finding the set of all pairs (a, O ), where a...
Massimiliano Albanese, Andrea Pugliese, V. S. Subr...
AMR
2007
Springer
120views Multimedia» more  AMR 2007»
16 years 28 days ago
Searching for Music Using Natural Language Queries and Relevance Feedback
We extend an approach to search inside large-scale music collections by enabling the user to give feedback on the retrieved music pieces. In the original approach, a search engine ...
Peter Knees, Gerhard Widmer