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AAAI
2008
14 years 17 days ago
Concept-Based Feature Generation and Selection for Information Retrieval
Traditional information retrieval systems use query words to identify relevant documents. In difficult retrieval tasks, however, one needs access to a wealth of background knowled...
Ofer Egozi, Evgeniy Gabrilovich, Shaul Markovitch
CIKM
2010
Springer
13 years 8 months ago
Improved index compression techniques for versioned document collections
Current Information Retrieval systems use inverted index structures for efficient query processing. Due to the extremely large size of many data sets, these index structures are u...
Jinru He, Junyuan Zeng, Torsten Suel
ICMCS
2006
IEEE
139views Multimedia» more  ICMCS 2006»
14 years 4 months ago
A Measure for Evaluating Retrieval Techniques based on Partially Ordered Ground Truth Lists
For the RISM A/II collection of musical incipits (short extracts of scores, taken from the beginning), we have established a ground truth based on the opinions of human experts. I...
Rainer Typke, Remco C. Veltkamp, Frans Wiering
CORR
2006
Springer
118views Education» more  CORR 2006»
13 years 10 months ago
Minimally Invasive Randomization for Collecting Unbiased Preferences from Clickthrough Logs
Clickthrough data is a particularly inexpensive and plentiful resource to obtain implicit relevance feedback for improving and personalizing search engines. However, it is well kn...
Filip Radlinski, Thorsten Joachims
ECIR
2007
Springer
13 years 11 months ago
Incorporating Diversity and Density in Active Learning for Relevance Feedback
Abstract. Relevance feedback, which uses the terms in relevant documents to enrich the user’s initial query, is an effective method for improving retrieval performance. An assoc...
Zuobing Xu, Ram Akella, Yi Zhang 0001