Bridging Recommendation Bridging Recommendation and Adaptationand AdaptationGAF-Twittomender GAF-Twittomender compliance case-studycompliance case-study

John Hannon, Evgeny Knutov, Paul De John Hannon, Evgeny Knutov, Paul De Bra, Bra, Mykola Pechenizkiy, Barry Smyth, Mykola Pechenizkiy, Barry Smyth, Kevin McCarthyKevin McCarthy

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

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AH Systems and GAF

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• 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

Adaptation process modeling

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Classic loop user modeling - adaptation

Munich Model: Lifecycle of Adaptation

Generic Adaptivity Model

GOMAWE

Classification of AH methods and techniques; adaptation process

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• Classification of AH methods and techniques integrated with adaptation process

• Basis for the AHS layered structure

GAF layered model

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• 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

GAF ‘sequence chart’ – RecSys compliance

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Having trouble finding people to follow on Twitter?

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• Syncing a users account and producing followee recommendations through a range of collaborative (3) and content-based (4) strategies

Twittomender architecture

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Client-Server architecture

Build on top of Twitter API and Lucene (full features text search engine)

GAF – Twittomender compliance

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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

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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)

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UM interoperability in Twittomender

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(to be continued)

Thanks!and

Questions?