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» Context-Dependent Term Relations for Information Retrieval
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CIKM
2005
Springer
15 years 12 months ago
Query expansion using random walk models
It has long been recognized that capturing term relationships is an important aspect of information retrieval. Even with large amounts of data, we usually only have significant ev...
Kevyn Collins-Thompson, Jamie Callan
WWW
2006
ACM
16 years 7 months ago
Extracting news-related queries from web query log
In this poster, we present a method for extracting queries related to real-life events, or news-related queries, from large web query logs. The method employs query frequencies an...
Michael Maslov, Alexander Golovko, Ilya Segalovich...
IPM
2006
167views more  IPM 2006»
15 years 6 months ago
Browsing mixed structured and unstructured data
Both structured and unstructured data, as well as structured data representing several different types of tuples, may be integrated into a single list for browsing or retrieval. D...
Robert M. Losee
GEOS
2009
Springer
15 years 11 months ago
The Case for Grounding Databases
What is the intended interpretation of a geospatial database in terms of reproducible experiences? How should places on a digital globe be interpreted on the earth surface? And how...
Simon Scheider
MM
2009
ACM
221views Multimedia» more  MM 2009»
16 years 24 days ago
Using large-scale web data to facilitate textual query based retrieval of consumer photos
The rapid popularization of digital cameras and mobile phone cameras has lead to an explosive growth of consumer photo collections. In this paper, we present a (quasi) real-time t...
Yiming Liu, Dong Xu, Ivor W. Tsang, Jiebo Luo