knowledge sharing & recommendation services
DESCRIPTION
Knowledge sharing & recommendation services. Goal of WP3. ‘The main task is to investigate, design and implement social recommendation and knowledge sharing mechanisms suitable for ... project-centred scenarios’ - PowerPoint PPT PresentationTRANSCRIPT
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Peter Sloep, Jan van BruggenMilano, December 2 & 3 2005
Knowledge sharing & recommendation services
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Goal of WP3
• ‘The main task is to investigate, design and implement • social recommendation and • knowledge sharing mechanisms• suitable for ... project-centred scenarios’
• These [collaborative recommendation] approaches are complemented by latent semantic analysis, ... based on the content of repositories
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Knowledge sharing of peers through ad hoc transient
communities
• Example of lsa based recommendation• Current project in OUNL• Focus on peer support
• is example of recommendation and knowledge sharing
• helps solve teacher bandwidth problem• increases competencies of both tutor and tutee
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Essence of the approach
• analyse ‘tutee’ question using latent semantic analysis
• find and select ‘suitable’ peer-tutors• suitable means competent, available, eligible
• set up wiki and create ad-hoc, transient community of tutee and a number of tutors around it
• seed wiki with proto-answers, discovered by lsalog results in for instance FAQ, user portfolio, community database, for future use
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Moodle
LSA module
Tutor locator
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Moodle
LSA module
Tutor locator
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Moodle
LSA module
Tutor locator
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Moodle
LSA module
Tutor locator
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The positioning problem
• Imagine• some student, not necessarily involved in a
formal programme, with a learning target • (s)he has several prior (certified or not)
competencies,• (s)he enters a ‘learning network’
• How to • map the target on the learning network?
map his or her prior competencies?
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Learner positioni
ng
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LSA and positioning: our current goals
• Develop specs for the use of Latent Semantic Analysis for positioning
• Specify, develop and test a prototypical ‘positioner’
• With respect to their validity and reliability, compare human and LSA-based practices of honoring prior competencies
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What is LSA?
element in user portfolio
assetA
assetB
assetC
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How does it work?
1 2 3 j m
ape 5 11 0
left 1 2 33
the 110 156 144
kind 25 19 0
i fr(ij)
n f(mn)
documents
terms
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How does it work?
• start with term X document matrix• many zeros, low average cell freq -> sparse
matrix
• use stop rules• use stemming?• apply other ‘rules of thumb’
use vector representation per document through SVD (cf. factor analysis)
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Compare and contrastan additional goal
• explicit semantics (metadata approach), requires effort upfront, during development of tasks and portfolios; requires ontology with inference rules; improves over time (semantic web)
• latent semantics, works during runtime, should be fast enough, no explicit semantics, hence no improvement over time (GTP)
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Goal of WP3
• ‘The main task is to investigate, design and implement • social recommendation and • knowledge sharing mechanisms• suitable for ... project-centred scenarios’
• These [collaborative recommendation] approaches are complemented by latent semantic analysis, ... based on the content of repositories