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» Ranking of Object Summaries
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SIGIR
2011
ACM
14 years 1 months ago
Decayed DivRank: capturing relevance, diversity and prestige in information networks
Many network-based ranking approaches have been proposed to rank objects according to different criteria, including relevance, prestige and diversity. However, existing approache...
Pan Du, Jiafeng Guo, Xueqi Cheng
CIKM
2001
Springer
15 years 3 months ago
Merging Techniques for Performing Data Fusion on the Web
Data fusion on the Web refers to the merging, into a unified single list, of the ranked document lists, which are retrieved in response to a user query by more than one Web search...
Theodora Tsikrika, Mounia Lalmas
ICMCS
2005
IEEE
112views Multimedia» more  ICMCS 2005»
15 years 4 months ago
A news content summarizer for Chinese cell phones
This paper proposes a Chinese news summarization method for the message services of news brief over cell phones. In this method, important sentences were first identified based on...
Yuen-Hsien Tseng
EMNLP
2009
14 years 8 months ago
Automatically Evaluating Content Selection in Summarization without Human Models
We present a fully automatic method for content selection evaluation in summarization that does not require the creation of human model summaries. Our work capitalizes on the assu...
Annie Louis, Ani Nenkova
SSDBM
2008
IEEE
107views Database» more  SSDBM 2008»
15 years 5 months ago
ProUD: Probabilistic Ranking in Uncertain Databases
There are a lot of application domains, e.g. sensor databases, traffic management or recognition systems, where objects have to be compared based on vague and uncertain data. Feat...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...