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SE@M 2010: Automatic Keywords Extraction - a Basis for Content Recommendation

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Ivana Bosnic
Ivana Bosnic

Presented at SE@M 2010 - Fourth International Workshop on Search and Exchange of e-le@rning Materials (SE@M’10). 27-28 September 2010, Barcelona, Spain

Technologie
1 von 31
Automatic Keywords Extraction – A Basis for Content Recommendation Ivana Bosnić Katrien Verbert Erik Duval University of Zagreb, Croatia Katholieke Universiteit Leuven, Belgium
Toda y... ,[object Object],[object Object],[object Object],[object Object],[object Object]
General idea and use case 1
Content authoring ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Use case Content available Broader c ontext Content Reuse Metadata LORs Wikipedia Blogs LMS Course context Author Current content Tools Integration Referencing
Current work… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ke ywords ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Keyword extractors – a closer look ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Keyword extractors evaluation 2
Goals ,[object Object],[object Object],[object Object]
Methodology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Automatically extracted keywords: user grading I Average of keyword relevancy grading, per presentation
Automatically extracted keywords: user grading II Average of keyword relevancy grading, per topic
Automatically extracted keywords: user grading III Average user grading per particular Zemanta rank
User-generated keywords ,[object Object],[object Object],[object Object],[object Object],[object Object]
User-generated keywords Matches between user- and automatically generated keywords
Lessons learned ,[object Object],[object Object],[object Object],[object Object]
Evaluation in the environment 3
Goals ,[object Object],[object Object],[object Object],[object Object]
Methodology ,[object Object],[object Object],[object Object],[object Object]
Environment ,[object Object]
 
Evaluation I The relation between user and internat ranking The average of user rankings
Evaluation I - problems ,[object Object],[object Object],[object Object],[object Object]
Evaluation I - changes ,[object Object],[object Object],[object Object]
Evaluation II ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Evaluation II The relation between user and internat ranking The average of user rankings
Lessons learned ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
All in all... ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Some hard questions... ,[object Object],[object Object],[object Object]
Thanks  ,[object Object]

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