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CIKM
2009
Springer
15 years 7 months ago
Efficient feature weighting methods for ranking
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
Hwanjo Yu, Jinoh Oh, Wook-Shin Han
150
Voted
DEBS
2007
ACM
15 years 7 months ago
Scalable event matching for overlapping subscriptions in pub/sub systems
Content-based publish/subscribe systems allow matching the content of events with predicates in the subscriptions. However, most existing systems only allow a limited set of opera...
Zhen Liu, Srinivasan Parthasarathy 0002, Anand Ran...
147
Voted
DOLAP
2007
ACM
15 years 7 months ago
Optimal chunking of large multidimensional arrays for data warehousing
ss domain. Using this more abstract approach means that more data sources of varying types can be incorporated with less effort, and such heterogeneous data sources might be very r...
Ekow J. Otoo, Doron Rotem, Sridhar Seshadri
167
Voted
KDD
2010
ACM
259views Data Mining» more  KDD 2010»
15 years 7 months ago
A probabilistic model for personalized tag prediction
Social tagging systems have become increasingly popular for sharing and organizing web resources. Tag recommendation is a common feature of social tagging systems. Social tagging ...
Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. D...
132
Voted
SIGIR
2010
ACM
15 years 7 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
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