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» Recommending Multidimensional Queries.
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AIR
2005
122views more  AIR 2005»
13 years 7 months ago
Retrieval Failure and Recovery in Recommender Systems
In case-based reasoning (CBR) approaches to product recommendation, descriptions of the available products are stored in a case library and retrieved in response to a query represe...
David McSherry
VLDB
1997
ACM
120views Database» more  VLDB 1997»
13 years 11 months ago
A Region Splitting Strategy for Physical Database Design of Multidimensional File Organizations
This paper presents a region splitting strategy for physical database design of multidimensional le organizations. Physical database design is the process of determining the optim...
Jong-Hak Lee, Young-Koo Lee, Kyu-Young Whang, Il-Y...
ADBIS
2010
Springer
145views Database» more  ADBIS 2010»
13 years 9 months ago
On Support of Ordering in Multidimensional Data Structures
Multidimensional data structures are applied in many areas, e.g. in data mining, indexing multimedia data and text documents, and so on. There are some applications where the range...
Filip Krizka, Michal Krátký, Radim B...
CORR
2002
Springer
132views Education» more  CORR 2002»
13 years 7 months ago
Exploiting Synergy Between Ontologies and Recommender Systems
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
Stuart E. Middleton, Harith Alani, David De Roure
ISAAC
2005
Springer
129views Algorithms» more  ISAAC 2005»
14 years 1 months ago
SkipTree: A Scalable Range-Queryable Distributed Data Structure for Multidimensional Data
This paper presents the SkipTree, a new balanced, distributed data structure for storing data with multidimensional keys in a peer-topeer network. The SkipTree supports range quer...
Saeed Alaei, Mohammad Toossi, Mohammad Ghodsi