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» Ranking Query Results using Context-Aware Preferences
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JAIR
2011
103views more  JAIR 2011»
13 years 5 months ago
Automated Search for Impossibility Theorems in Social Choice Theory: Ranking Sets of Objects
We present a method for using standard techniques from satisfiability checking to automatically verify and discover theorems in an area of economic theory known as ranking sets o...
C. Geist, Ulrich Endriss
SIGIR
2012
ACM
12 years 15 days ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
PVLDB
2010
108views more  PVLDB 2010»
13 years 8 months ago
Retrieving Top-k Prestige-Based Relevant Spatial Web Objects
The location-aware keyword query returns ranked objects that are near a query location and that have textual descriptions that match query keywords. This query occurs inherently i...
Xin Cao, Gao Cong, Christian S. Jensen
ICNP
2006
IEEE
14 years 4 months ago
Robust Path-Vector Routing Despite Inconsistent Route Preferences
— Some commonly used inter-domain-routing policies—e.g., those using BGP’s MED attribute for cold-potato routing—are beyond the scope of routing theory developed to date. T...
Aaron D. Jaggard, Vijay Ramachandran
SIGMOD
2009
ACM
133views Database» more  SIGMOD 2009»
14 years 10 months ago
Hierarchical result views for keyword queries over relational databases
Enabling keyword queries over relational databases (KQDB) benefits a large population of users who have difficulty in understanding the database schema or using SQLs. However, sin...
Shiyuan Wang, Jun'ichi Tatemura, Arsany Sawires, O...