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Recommender Systems

Recommender Systems. Av: Knut Marius Sundt Veileder: Thomas Ågotnes. Recommender Systems. Hva? Informasjonsfiltrering Personifisert Muligheter ≈∞ Hvorfor? Store mengder data Effektivitet (tid er penger) Tjene på andres erfaringer Målrettet markedsføring. Recommender Systems.

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Recommender Systems

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  1. Recommender Systems Av: Knut Marius Sundt Veileder: Thomas Ågotnes

  2. Recommender Systems • Hva? • Informasjonsfiltrering • Personifisert • Muligheter ≈∞ • Hvorfor? • Store mengder data • Effektivitet (tid er penger) • Tjene på andres erfaringer • Målrettet markedsføring

  3. Recommender Systems • Eksisterende:

  4. Recommender Systems • Hvordan samle data? • Eksplisitt • Karakter • Rangering • Implisitt • Surfe-logg • Tidtaking • Klikkede linker ++

  5. Collaborative Filtering • (u)likhet mellom brukere • Ikke domene-avhengig

  6. Content-Based Filtering • (u)likhet mellom ”gjenstander” • Svært domene-avhengig

  7. Utfordringer • Cold start • Motivasjon for bruk • ”Sparse matrix” • Skalerbarhet

  8. Oppgaven • 3 semestere: • 1: Spesialpensum, bakgrunnsstoff • 2 og 3: 100% på oppgaven • Maskinlæring • Tillit / Sosiale nettverk • Domene ikke fastsatt

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