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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 8 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
VLDB
2001
ACM
94views Database» more  VLDB 2001»
14 years 1 days ago
FeedbackBypass: A New Approach to Interactive Similarity Query Processing
In recent years, several methods have been proposed for implementing interactive similarity queries on multimedia databases. Common to all these methods is the idea to exploit use...
Ilaria Bartolini, Paolo Ciaccia, Florian Waas
ISMIR
2004
Springer
92views Music» more  ISMIR 2004»
14 years 29 days ago
A search method for notated polyphonic music with pitch and tempo fluctuations
We compare two methods of measuring melodic similarity for symbolically represented polyphonic music. Both exploit advantages of transportation distances such as continuity and pa...
Rainer Typke, Frans Wiering, Remco C. Veltkamp
SIGIR
2011
ACM
12 years 10 months ago
A boosting approach to improving pseudo-relevance feedback
Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback...
Yuanhua Lv, ChengXiang Zhai, Wan Chen
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
14 years 1 months ago
Mean version space: a new active learning method for content-based image retrieval
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang ...