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» Learning to rank for information retrieval (LR4IR 2008)
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PRL
2008
181views more  PRL 2008»
15 years 6 months ago
Extractive spoken document summarization for information retrieval
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
Berlin Chen, Yi-Ting Chen
HPDC
2008
IEEE
15 years 6 months ago
Collaborative ranking of grid-enabled workflow service providers
Service Oriented Architecture (SOA) and Grid computing are very hot research topics, nowadays. While Grid computing is aimed at sharing dynamically heterogeneous resources, SOAs i...
Domenico Laforenza, Franco Maria Nardini, Fabrizio...
NIPS
2008
15 years 7 months ago
Empirical performance maximization for linear rank statistics
The ROC curve is known to be the golden standard for measuring performance of a test/scoring statistic regarding its capacity of discrimination between two populations in a wide v...
Stéphan Clémençon, Nicolas Va...
SIGIR
2008
ACM
15 years 6 months ago
EigenRank: a ranking-oriented approach to collaborative filtering
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
Nathan Nan Liu, Qiang Yang
SIGIR
2008
ACM
15 years 6 months ago
The impact of history length on personalized search
Personalized search is a promising way to better serve different users' information needs. Search history is one of the major information sources for search personalization. ...
Yangbo Zhu, Jamie Callan, Jaime G. Carbonell