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CIKM
2005
Springer
13 years 11 months ago
Minimal document set retrieval
This paper presents a novel formulation and approach to the minimal document set retrieval problem. Minimal Document Set Retrieval (MDSR) is a promising information retrieval task...
Wei Dai, Rohini K. Srihari
SIGIR
2012
ACM
11 years 8 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
ESA
2010
Springer
161views Algorithms» more  ESA 2010»
13 years 6 months ago
Top-k Ranked Document Search in General Text Databases
Text search engines return a set of k documents ranked by similarity to a query. Typically, documents and queries are drawn from natural language text, which can readily be partiti...
J. Shane Culpepper, Gonzalo Navarro, Simon J. Pugl...
WWW
2003
ACM
14 years 6 months ago
Using Top-Ranking Sentences for Web Search Result Presentation
In this poster we propose a granular approach for presenting web search results. Sentences, taken from the top documents, are used as fine-grained representations of document cont...
Ryen W. White, Joemon M. Jose, Ian Ruthven
INTERACT
2003
13 years 7 months ago
A Granular Approach to Web Search Result Presentation
: In this paper we propose and evaluate interfaces for presenting the results of web searches. Sentences, taken from the top retrieved documents, are used as fine-grained represent...
Ryen W. White