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» Linguistic Knowledge can Improve Information Retrieval
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MM
2004
ACM
129views Multimedia» more  MM 2004»
15 years 12 months ago
A novel log-based relevance feedback technique in content-based image retrieval
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR). However, since there exists a semantic g...
Chu-Hong Hoi, Michael R. Lyu
CAISE
2006
Springer
15 years 10 months ago
Using Process Mining to Analyze and Improve Process Flexibility
Abstract. Contemporary information systems struggle with the requirement to provide flexibility and process support while still enforcing some degree of control. Workflow managemen...
Wil M. P. van der Aalst, Christian W. Günther...
EDBT
2010
ACM
153views Database» more  EDBT 2010»
16 years 1 months ago
Suggestion of promising result types for XML keyword search
Although keyword query enables inexperienced users to easily search XML database with no specific knowledge of complex structured query languages or XML data schemas, the ambigui...
Jianxin Li, Chengfei Liu, Rui Zhou, Wei Wang
JCDL
2006
ACM
143views Education» more  JCDL 2006»
16 years 14 days ago
Categorizing web search results into meaningful and stable categories using fast-feature techniques
When search results against digital libraries and web resources have limited metadata, augmenting them with meaningful and stable category information can enable better overviews ...
Bill Kules, Jack Kustanowitz, Ben Shneiderman
WWW
2008
ACM
16 years 7 months ago
Unsupervised query segmentation using generative language models and wikipedia
In this paper, we propose a novel unsupervised approach to query segmentation, an important task in Web search. We use a generative query model to recover a query's underlyin...
Bin Tan, Fuchun Peng