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6S: Collaborative Web search via an adaptive peer network

author: Filippo Menczer, School of Informatics, Indiana University

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*Slides*
0:00	6S: Collaborative Web Search via an Adaptive Peer Network
0:38	http://homer.informatics.indiana.edu/6S/ - part 1
1:23	http://homer.informatics.indiana.edu/6S/ - part 2
1:41	http://homer.informatics.indiana.edu/6S/ - part 3
1:52	http://homer.informatics.indiana.edu/6S/ - part 4
2:53	6S Collaborative Peer Search - part 1
2:55	6S Collaborative Peer Search - part 2
4:05	6S Collaborative Peer Search - part 3
5:21	Distributed vs Centralized
6:51	Algorithm 1: Random Known
7:24	Algorithm 2: Greedy
7:42	Algorithm 3: Reinforcement - part 1
7:43	Algorithm 3: Reinforcement - part 1
7:53	Algorithm 3: Reinforcement - part 2
8:07	Algorithm 3: Reinforcement - part 3
8:16	Algorithm 3: Reinforcement - part 4
10:04	Query Routing
10:37	Simulating 500 Users - part 1
12:01	Simulating 500 Users - part 2
12:22	Simulating 500 Users - part 3
12:30	P@10 - part 1
13:04	P@10 - part 2
13:06	P@10 - part 3
13:08	Small-world
13:59	Semantic Similarity - part 1
15:30	Semantic Similarity - part 2
18:18	Ongoing Work
20:03	User study
20:18	Query network
21:21	Result network
21:52	Questions?

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