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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
15 years 10 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
74
Voted
INFOCOM
2007
IEEE
15 years 3 months ago
Ranking-Based Optimal Resource Allocation in Peer-to-Peer Networks
—This paper presents a theoretic framework of optimal resource allocation and admission control for peer-topeer networks. Peer’s behavioral rankings are incorporated into the r...
Yonghe Yan, Adel El-Atawy, Ehab Al-Shaer
CORR
2007
Springer
129views Education» more  CORR 2007»
14 years 9 months ago
A Rank-Metric Approach to Error Control in Random Network Coding
It is shown that the error control problem in random network coding can be reformulated as a generalized decoding problem for rank-metric codes. This result allows many of the too...
Danilo Silva, Frank R. Kschischang, Ralf Koetter
79
Voted
DIS
2009
Springer
15 years 4 months ago
Mining Heterogeneous Information Networks by Exploring the Power of Links
Knowledge is power but for interrelated data, knowledge is often hidden in massive links in heterogeneous information networks. We explore the power of links at mining heterogeneou...
Jiawei Han
ACL
2012
12 years 12 months ago
Tweet Recommendation with Graph Co-Ranking
As one of the most popular micro-blogging services, Twitter attracts millions of users, producing millions of tweets daily. Shared information through this service spreads faster ...
Rui Yan, Mirella Lapata, Xiaoming Li