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KMV-Peer: A Robust and Adaptive Peer-Selection Algorithm
Published on Aug 09, 20112832 Views
The problem of fully decentralized search over many collections is considered. The objective is to approximate the results of centralized search (namely, using a central index) while controlling the c
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Chapter list
KMV-Peer: A Robust and Adaptive Peer-Selection Algorithm00:00
Motivation and Problem Statement00:25
Solution Framework - Indexing01:34
Our Contributions03:46
Agenda04:24
Per-term KMV Statistics04:36
Peer-Scoring Functions06:36
Peer-Scoring Functions - contd08:17
KMV-int: The Peer Intersection Score10:43
KMV-exp: The Peer Expected Score12:46
A Basic Peer-Selection Algorithm13:26
Algorithm Improvements –Save Communication Cost15:34
Algorithm Improvements – Adaptive Ranking17:55
KMV-Peer: The Peer-Selection Algorithm19:32
Experimental Setting19:36
KMV-Peer Compared to State-of-the-Art21:07
Tuning The Parameters of KMV-Peer23:02
Testing Different Variants of KMV-Peer23:36
Testing Different Scoring Functions25:14
Conclusions27:24
Future Work28:02
Thank You!28:26