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SIGIR
2012
ACM
13 years 9 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
SIGIR
2012
ACM
13 years 9 months ago
Time-sensitive query auto-completion
Query auto-completion (QAC) is a common feature in modern search engines. High quality QAC candidates enhance search experience by saving users time that otherwise would be spent ...
Milad Shokouhi, Kira Radinsky
SIGIR
2012
ACM
13 years 9 months ago
Task complexity, vertical display and user interaction in aggregated search
Aggregated search is the task of blending results from specialized search services or verticals into the Web search results. While many studies have focused on aggregated search t...
Jaime Arguello, Wan-Ching Wu, Diane Kelly, Ashlee ...
SIGIR
2012
ACM
13 years 9 months ago
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval
Similarity search is a key challenge for multimedia retrieval applications where data are usually represented in high-dimensional space. Among various algorithms proposed for simi...
Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin
SIGIR
2012
ACM
13 years 9 months ago
Time-based calibration of effectiveness measures
Many current effectiveness measures incorporate simplifying assumptions about user behavior. These assumptions prevent the measures from reflecting aspects of the search process...
Mark D. Smucker, Charles L. A. Clarke
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