Implicit feedback learning in semantic and collaborative information retrieval systems thumbnail
slide-image
Pause
Mute
Subtitles not available
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

Implicit feedback learning in semantic and collaborative information retrieval systems

Published on Feb 19, 20085866 Views

Information retrieval is a very wide domain which can involve various types of activities and tasks. Many complex factors are participating in a search for information and many systems have been exper

Related categories

Chapter list

Implicit feedback learning in semantic and collaborative information retrieval systems00:00
Summary00:27
Introduction01:02
Information retrieval?01:06
Simple view of IRS01:50
Information model02:24
Limits of current IRS03:32
Enhanced IRS with feedback learning04:47
Feedback learning04:55
Feedback learning strategies05:56
Explicit vs Implicit feedback - 107:02
Explicit vs Implicit feedback - 209:03
Feedback learning and search in context in VITALAS09:39
Analysis of search logs10:06
First experiments11:43
Focus on learning using behavior measurements as feedback13:26
Search context with feedback13:42
Search context with implicit feedback14:53
Searching in context15:49
Searching in context : A multi objective optimisation problem16:57
Evolutionary algorithm for query expansion/suggestion - 118:02
Evolutionary algorithm for query expansion/suggestion - 218:44
Evolutionary algorithm for query expansion/suggestion - 320:21
Expanding context using semantic and collaboration21:05
Conclusion and future work21:59
Future research paths22:01