Personalizing Relevance on the Semantic Web through Trusted - - PowerPoint PPT Presentation

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Personalizing Relevance on the Semantic Web through Trusted - - PowerPoint PPT Presentation

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Personalizing Relevance on the Semantic Web through Trusted Recommendations from a Social Network Tom Heath Enrico Motta Knowledge Media Institute The Open University 12/06/2006 search results, personalised to you Personalizing Relevance

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Personalizing Relevance

  • n the Semantic Web

through Trusted Recommendations from a Social Network

Tom Heath Enrico Motta

Knowledge Media Institute The Open University 12/06/2006

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search results, personalised to you

Personalizing Relevance on the Semantic Web Tom Heath and Enrico Motta, KMi, The Open University 12/06/2006

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  • verview
  • a traditional approach to personalisation
  • re-defining relevance
  • our approach (work in progress)

– personalising relevance in information seeking – recommendations from people we trust – semantic web as deployment platform

Personalizing Relevance on the Semantic Web Tom Heath and Enrico Motta, KMi, The Open University 12/06/2006

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personalisation: a traditional approach

Personalizing Relevance on the Semantic Web Tom Heath and Enrico Motta, KMi, The Open University 12/06/2006

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Personalizing Relevance on the Semantic Web Tom Heath and Enrico Motta, KMi, The Open University 12/06/2006

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personalisation: a traditional approach

  • operates in a closed world
  • the task supported is poorly defined

Personalizing Relevance on the Semantic Web Tom Heath and Enrico Motta, KMi, The Open University 12/06/2006

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can we personalise a very specific task?

Personalizing Relevance on the Semantic Web Tom Heath and Enrico Motta, KMi, The Open University 12/06/2006

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  • irrelevant to the topic
  • irrelevant to me

Personalizing Relevance on the Semantic Web Tom Heath and Enrico Motta, KMi, The Open University 12/06/2006

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the nature of relevance

  • topical relevance: query ↔ pages
  • personal relevance: my info need ↔ items

Personalizing Relevance on the Semantic Web Tom Heath and Enrico Motta, KMi, The Open University 12/06/2006

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a system for personalised relevance

Personalizing Relevance on the Semantic Web Tom Heath and Enrico Motta, KMi, The Open University 12/06/2006

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“known person recommendation”

  • ask people I know and trust

– source-centric – allows for more complex reasoning

  • knowledge required

– who is known? – what’s the task/situation? → who is most trusted?

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who is most trusted, and why?

…it depends on

  • five trust factors

– expertise, experience, impartiality, affinity, track record

  • the nature of the task

– how critical the task, how subjective the solution

  • (Heath, Motta and Petre, 2006)

Personalizing Relevance on the Semantic Web Tom Heath and Enrico Motta, KMi, The Open University 12/06/2006

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implementation

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a system for personalised relevance

  • domain: travel/tourism

– non-critical, highly subjective

  • significant trust factors

– affinity between the info seeker and info source – experience of each person of particular domains

  • data requirements

– who do you know? (FOAF) – how trustworthy are they? – a pool of potential results

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system components

  • reviewing/rating system, for “travel objects”

– provides pool of potential results – outputs RDF/XML according to Review vocab

  • trust kb, computes trust relationships:

– affinity – experience

  • search system

– search index – relevance reasoner

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workflow

1. users provide FOAF files and ratings of travel things 2. system infers trust relationships 3. rated travel things are added to search index 4. user does keyword search 5. search system looks for results rated by known people 6. relevance reasoner ranks results based on inferred trustworthiness of the source

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future work

  • complete the implementation
  • evaluate the importance of affinity vs

experience in trust inferences

  • evaluate the relevance of search these

personalised results

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thankyou

Personalizing Relevance on the Semantic Web Tom Heath and Enrico Motta, KMi, The Open University 12/06/2006

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http://kmi.open.ac.uk/people/tom

Personalizing Relevance on the Semantic Web Tom Heath and Enrico Motta, KMi, The Open University 12/06/2006

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