Boosting Performance of Web Search Engines Using Query Logs

author: Fabrizio Silvestri, ICAR-CNR, Consiglio Nazionale delle Ricerche

Categories

Top: Computer Science: Web Mining
Top: Computer Science: Information Retrieval

You might be experiencing some problems with Your Video player.

*Slides*
0:00	Boosting Performance of Web Search Engines using Query Logs
0:29	Introduction
1:17	What is a Query Log
1:49	Our Logs
2:59	What Does it Contain?
3:38	What Does it Contain?
4:34	How We Exploited
5:12	Caching Policies
5:32	Probability Driven Caching
6:44	Static Dynamic Caching
7:02	SDC Sections
7:39	SDC and Prefetching
8:23	Hit Ratio
9:19	Throughput
10:42	Collection Partitioning and Selection
11:31	Innovations
12:35	Contingency Matrix
13:02	Co-clustering Results
13:44	Experiments
15:10	Precision
16:11	Precision
17:06	Better Term Partitioning
18:10	Why Term Partitioning?
18:42	Encouraging Figures...
19:02	Discouraging Results
19:47	Term Partitioning Enhancements
20:21	Training and Test Sets
20:57	Servers per Query
21:59	List Replication
22:10	Query per Servers - Replicated Lists
22:40	Load Balancing (No Buffer Cache)
22:42	Load Balancing - Network is Dominant
23:44	Evaluating the Topic Shift Effect
24:26	Various Training Times
24:29	Thank You!

Lecture rating

People found this lecture:
Worth seeing
because it is:
Valuable and informative
Well presented
Easily understandable
Acceptably recorded
You need to login to cast your vote.

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.