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» Adaptive Selectivity Estimation Using Query Feedback
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FLAIRS
2006
13 years 8 months ago
Improving Case-Based Recommendations Using Implicit Feedback
A recommender system suggests items to a user for a given query by personalizing the recommendations based on the user interests. User personalization is usually done by asking us...
Deepak Khemani, Mohamed A. K. Sadiq, Rakesh Bangan...
SIGMOD
2007
ACM
170views Database» more  SIGMOD 2007»
14 years 7 months ago
Cardinality estimation using sample views with quality assurance
Accurate cardinality estimation is critically important to high-quality query optimization. It is well known that conventional cardinality estimation based on histograms or simila...
Per-Åke Larson, Wolfgang Lehner, Jingren Zho...
ICMCS
2005
IEEE
132views Multimedia» more  ICMCS 2005»
14 years 29 days ago
Approximating the selectivity of multimedia range queries
This paper introduces a new approach of approximating the selectivity of multimedia range queries. Estimating the selectivity of a range query is a pre-requisite to optimize a mul...
Mario Döller, Harald Kosch
PVLDB
2008
107views more  PVLDB 2008»
13 years 6 months ago
A pay-as-you-go framework for query execution feedback
Past work has suggested that query execution feedback can be useful in improving the quality of plans by correcting cardinality estimation errors in the query optimizer. The state...
Surajit Chaudhuri, Vivek R. Narasayya, Ravishankar...
SIGIR
2008
ACM
13 years 7 months ago
Retrieval and feedback models for blog feed search
Blog feed search poses different and interesting challenges from traditional ad hoc document retrieval. The units of retrieval, the blogs, are collections of documents, the blog p...
Jonathan L. Elsas, Jaime Arguello, Jamie Callan, J...