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» Information Retrieval in Trust-Enhanced Document Networks
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ICML
2008
IEEE
14 years 8 months ago
Semi-supervised learning of compact document representations with deep networks
Finding good representations of text documents is crucial in information retrieval and classification systems. Today the most popular document representation is based on a vector ...
Marc'Aurelio Ranzato, Martin Szummer
KDD
2010
ACM
318views Data Mining» more  KDD 2010»
13 years 6 months ago
DivRank: the interplay of prestige and diversity in information networks
Information networks are widely used to characterize the relationships between data items such as text documents. Many important retrieval and mining tasks rely on ranking the dat...
Qiaozhu Mei, Jian Guo, Dragomir R. Radev
AI
2002
Springer
13 years 7 months ago
QUANTUM: A Function-Based Question Answering System
Abstract In this paper, we describe our Question Answering (QA) system called QUANTUM. The goal of QUANTUM is to find the answer to a natural language question in a large document ...
Luc Plamondon, Leila Kosseim
WISE
2009
Springer
14 years 4 months ago
Aggregation of Document Frequencies in Unstructured P2P Networks
Peer-to-peer (P2P) systems have been recently proposed for providing search and information retrieval facilities over distributed data sources, including web data. Terms and their ...
Robert Neumayer, Christos Doulkeridis, Kjetil N&os...
SIGIR
2011
ACM
12 years 10 months ago
Social context summarization
We study a novel problem of social context summarization for Web documents. Traditional summarization research has focused on extracting informative sentences from standard docume...
Zi Yang, Keke Cai, Jie Tang, Li Zhang, Zhong Su, J...