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ERCIMDL
2003
Springer
145views Education» more  ERCIMDL 2003»
15 years 5 months ago
Reference Directed Indexing: Redeeming Relevance for Subject Search in Citation Indexes
Abstract. Citation indexes are valuable tools for research, in part because they provide a means with which to measure the relative impact of articles in a collection of scientifi...
Shannon Bradshaw
EMNLP
2010
14 years 9 months ago
Learning the Relative Usefulness of Questions in Community QA
We present a machine learning approach for the task of ranking previously answered questions in a question repository with respect to their relevance to a new, unanswered referenc...
Razvan C. Bunescu, Yunfeng Huang
MIR
2010
ACM
163views Multimedia» more  MIR 2010»
15 years 1 months ago
SNDocRank: a social network-based video search ranking framework
Multimedia ranking algorithms are usually user-neutral and measure the importance and relevance of documents by only using the visual contents and meta-data. However, users’ int...
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolon...
SIGIR
2012
ACM
13 years 2 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
AUSAI
2008
Springer
15 years 1 months ago
Learning to Find Relevant Biological Articles without Negative Training Examples
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
Keith Noto, Milton H. Saier Jr., Charles Elkan