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» Swarming to rank for information retrieval
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ICML
2010
IEEE
13 years 10 months ago
Metric Learning to Rank
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...
Brian McFee, Gert R. G. Lanckriet
CIKM
2009
Springer
14 years 3 months ago
Enhancing expertise retrieval using community-aware strategies
Expertise retrieval has received increased interests in recent years, whose task is to suggest people with relevant expertise. Motivated by the observation that communities could ...
Hongbo Deng, Irwin King, Michael R. Lyu
SWAP
2008
13 years 10 months ago
Improving Retrieval Experience Exploiting Semantic Representation of Documents
The traditional strategy performed by Information Retrieval (IR) systems is ranked keyword search: for a given query, a list of documents, ordered by relevance, is returned. Releva...
Pierpaolo Basile, Annalina Caputo, Anna Lisa Genti...
SIGIR
1999
ACM
14 years 1 months ago
SCAN: Designing and Evaluating User Interfaces to Support Retrieval From Speech Archives
Previous examinations of search in textual archives have assumed that users first retrieve a ranked set of documents relevant to their query, and then visually scan through these ...
Steve Whittaker, Julia Hirschberg, John Choi, Dona...
WSDM
2010
ACM
1328views Data Mining» more  WSDM 2010»
14 years 6 months ago
TwitterRank: Finding Topic-sensitive Influential Twitterers
This paper focuses on the problem of identifying influential users of micro-blogging services. Twitter, one of the most notable micro-blogging services, employs a social-networkin...
Jianshu Weng, Ee-peng Lim, Jing Jiang, Qi He