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Bridging Recommendation and Adaptation GAF-Twittomender compliance case-study John Hannon, Evgeny Knutov, Paul De Bra, Mykola Pechenizkiy, Barry Smyth,

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Presentation on theme: "Bridging Recommendation and Adaptation GAF-Twittomender compliance case-study John Hannon, Evgeny Knutov, Paul De Bra, Mykola Pechenizkiy, Barry Smyth,"— Presentation transcript:

1 Bridging Recommendation and Adaptation GAF-Twittomender compliance case-study John Hannon, Evgeny Knutov, Paul De Bra, Mykola Pechenizkiy, Barry Smyth, Kevin McCarthy

2 Agenda AH systems evolution, GAF AH process modelling and GAF building blocks GAF-RecSys compliance Twittomender highlights Twittomender case-study Lessons learned Further Twittomender extension / Department of Computer Science PAGE

3 AH Systems and GAF / Department of Computer Science PAGE Generalize AHS functionality in GAF reference model (incl. systems which are not labelled as AH, e.g. RecSys) Enhance GAF layered structure with the process Enrich GAF with new approaches, techniques

4 Adaptation process modeling / Department of Computer Science PAGE Classic loop user modeling - adaptation Munich Model: Lifecycle of Adaptation Generic Adaptivity Model GOMAWE

5 Classification of AH methods and techniques; adaptation process / Department of Computer Science PAGE Classification of AH methods and techniques integrated with adaptation process Basis for the AHS layered structure

6 GAF layered model / Department of Computer Science PAGE GAF aligns the order of the layers in the system according to the classification of AH methods and techniques Rotate layered structure of GAF and match with adaptation process flowcharts GAF layered structure building blocks

7 GAF ‘sequence chart’ – RecSys compliance / Department of Computer Science PAGE

8 Having trouble finding people to follow on Twitter? / Department of Computer Science PAGE Syncing a users account and producing followee recommendations through a range of collaborative (3) and content-based (4) strategies

9 Twittomender architecture / Department of Computer Science PAGE Client-Server architecture Build on top of Twitter API and Lucene (full features text search engine)

10 GAF – Twittomender compliance / Department of Computer Science PAGE

11 GAF – Twittomender compliance (cont.) Resource Model – Tweets (via Twitter API) Goal Model – Twitter Profile login / Search query User Model – Twittomender User profiler Domain Model – Lucene index of users’ tweets Group Model – Collaborative twitter profile (followers) Application Model – Twittomender framework Adaptation Model – Retrieval module (Lucene) No Twittomender Contextual info / Department of Computer Science PAGE

12 Lessons Learned Helped to identify Twittomender missing parts / extension possibilities Recommendation of resources of a different nature (elaborate) User Modelling Contextualization Further Twittomender Extensions (UM interoperability) / Department of Computer Science PAGE

13 UM interoperability in Twittomender / Department of Computer Science PAGE

14 / Department of Computer Science PAGE (to be continued) Thanks! and Questions?


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