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» Learning to rank for information retrieval
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CIKM
2006
Springer
15 years 10 months ago
Ranking robustness: a novel framework to predict query performance
In this paper, we introduce the notion of ranking robustness, which refers to a property of a ranked list of documents that indicates how stable the ranking is in the presence of ...
Yun Zhou, W. Bruce Croft
CIKM
2008
Springer
15 years 8 months ago
Improve the effectiveness of the opinion retrieval and opinion polarity classification
Opinion retrieval is a document retrieving and ranking process. A relevant document must be relevant to the query and contain opinions toward the query. Opinion polarity classific...
Wei Zhang, Lifeng Jia, Clement T. Yu, Weiyi Meng
ECIR
2011
Springer
14 years 9 months ago
Introducing the User-over-Ranking Hypothesis
The User-over-Ranking hypothesis states that rather the user herself than a web search engine’s ranking algorithm can help to improve retrieval performance. The means are longer ...
Benno Stein, Matthias Hagen
IUI
2000
ACM
15 years 10 months ago
Using annotated video as an information retrieval interface
The ability to deliver appropriate information to learners at the most appropriate time is an essential component of good instruction. In the best learning environments, this info...
Andrew S. Gordon
SIGIR
2009
ACM
16 years 25 days ago
Positional language models for information retrieval
Although many variants of language models have been proposed for information retrieval, there are two related retrieval heuristics remaining “external” to the language modelin...
Yuanhua Lv, ChengXiang Zhai