Sciweavers

4972 search results - page 44 / 995
» Ranking on graph data
Sort
View
VLDB
2005
ACM
177views Database» more  VLDB 2005»
15 years 5 months ago
Discovering Large Dense Subgraphs in Massive Graphs
We present a new algorithm for finding large, dense subgraphs in massive graphs. Our algorithm is based on a recursive application of fingerprinting via shingles, and is extreme...
David Gibson, Ravi Kumar, Andrew Tomkins
SIGIR
2012
ACM
13 years 2 months 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
SIGIR
2011
ACM
14 years 2 months ago
Learning search tasks in queries and web pages via graph regularization
As the Internet grows explosively, search engines play a more and more important role for users in effectively accessing online information. Recently, it has been recognized that ...
Ming Ji, Jun Yan, Siyu Gu, Jiawei Han, Xiaofei He,...
ICOIN
2007
Springer
15 years 6 months ago
Inter-Domain Access Volume Model: Ranking Autonomous Systems
Exploring topological structure at Autonomous System (AS) level is indispensable for understanding most issues in Internet services. Previous models of AS graph involve address or ...
Yixuan Wang, Ye Wang, Maoke Chen, Xing Li
CAV
2009
Springer
181views Hardware» more  CAV 2009»
16 years 11 days ago
Size-Change Termination, Monotonicity Constraints and Ranking Functions
Abstract. Size-change termination involves deducing program termination based on the impossibility of infinite descent. To this end we may use m abstraction in which transitions ar...
Amir M. Ben-Amram