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» Adapting ranking functions to user preference
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VLDB
1997
ACM
80views Database» more  VLDB 1997»
14 years 21 days ago
Merging Ranks from Heterogeneous Internet Sources
Many sources on the Internet and elsewhere rank the objects in query results according to how well these objects match the original query. For example, a real-estate agent might r...
Luis Gravano, Hector Garcia-Molina
SSDBM
2008
IEEE
177views Database» more  SSDBM 2008»
14 years 2 months ago
Prioritized Evaluation of Continuous Moving Queries over Streaming Locations
Abstract. Existing approaches to the management of streaming positional updates generally assume that all active user requests have equal importance, ignoring the possibility of an...
Kostas Patroumpas, Timos K. Sellis
MTA
2007
141views more  MTA 2007»
13 years 8 months ago
Flexible integration of multimedia sub-queries with qualitative preferences
Complex multimedia queries, aiming to retrieve from large databases those objects that best match the query specification, are usually processed by splitting them into a set of m ...
Ilaria Bartolini, Paolo Ciaccia, Vincent Oria, M. ...
SIGIR
2004
ACM
14 years 2 months ago
A joint framework for collaborative and content filtering
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
Justin Basilico, Thomas Hofmann
ICDE
2010
IEEE
252views Database» more  ICDE 2010»
14 years 8 months ago
Semantic Ranking and Result Visualization for Life Sciences Publications
An ever-increasing amount of data and semantic knowledge in the domain of life sciences is bringing about new data management challenges. In this paper we focus on adding the seman...
Julia Stoyanovich, Kenneth A. Ross, William Mee