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» Using Document Dimensions for Enhanced Information Retrieval
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PRL
2008
181views more  PRL 2008»
13 years 9 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
LREC
2010
170views Education» more  LREC 2010»
13 years 10 months ago
Building a Domain-specific Document Collection for Evaluating Metadata Effects on Information Retrieval
This paper describes the development of a structured document collection containing user-generated text and numerical metadata for exploring the exploitation of metadata in inform...
Walid Magdy, Jinming Min, Johannes Leveling, Garet...
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
EDBT
2009
ACM
184views Database» more  EDBT 2009»
14 years 3 months ago
Distributed similarity search in high dimensions using locality sensitive hashing
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
Parisa Haghani, Sebastian Michel, Karl Aberer
AINA
2009
IEEE
13 years 6 months ago
Document-Oriented Pruning of the Inverted Index in Information Retrieval Systems
Searching very large collections can be costly in both computation and storage. To reduce this cost, recent research has focused on reducing the size (pruning) of the inverted ind...
Lei Zheng, Ingemar J. Cox