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» Top-k Ranked Document Search in General Text Databases
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CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
14 years 17 days ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
SIGMOD
2010
ACM
132views Database» more  SIGMOD 2010»
13 years 5 months ago
Durable top-k search in document archives
We propose and study a new ranking problem in versioned databases. Consider a database of versioned objects which have different valid instances along a history (e.g., documents i...
Leong Hou U, Nikos Mamoulis, Klaus Berberich, Srik...
CIKM
2009
Springer
14 years 5 months ago
MRM: an adaptive framework for XML searching
In order to deal with the diversified nature of XML documents as well as individual user preferences, we propose a novel Multiodel (MRM), which is able to abstract a spectrum of i...
Ho Lam Lau, Wilfred Ng
VLDB
2002
ACM
161views Database» more  VLDB 2002»
13 years 10 months ago
Distributed Search over the Hidden Web: Hierarchical Database Sampling and Selection
Many valuable text databases on the web have non-crawlable contents that are "hidden" behind search interfaces. Metasearchers are helpful tools for searching over many s...
Panagiotis G. Ipeirotis, Luis Gravano
VLDB
1998
ACM
144views Database» more  VLDB 1998»
14 years 3 months ago
Proximity Search in Databases
An information retrieval IR engine can rank documents based on textual proximityof keywords within each document. In this paper we apply this notion to search across an entire dat...
Roy Goldman, Narayanan Shivakumar, Suresh Venkatas...