Harrie Oosterhuis

Nederland Contactgegevens
948 volgers Meer dan 500 connecties

Word lid om profiel te bekijken

Activiteit

Neem nu deel om alle activiteiten te bekijken

Ervaring en opleidingen

  • Radboud University Nijmegen

Volledige ervaring van Harrie weergeven

Bekijk onder meer de functietitel en de aanstellingsduur.

of

Door op Doorgaan te klikken om deel te nemen of u aan te melden, gaat u akkoord met de gebruikersovereenkomst, het privacybeleid en het cookiebeleid van LinkedIn.

Licenties en certificaten

  • Cambridge Certicate of Advanced English

    University of Cambrdige

Publicaties

  • Probabilistic Multileave for Online Retrieval Evaluation

    SIGIR'15

    Online evaluation methods for information retrieval use implicit signals such as clicks from users to infer preferences between rankers. A highly sensitive way of inferring these preferences is through interleaved comparisons. Recently, interleaved comparisons methods that allow for simultaneous evaluation of more than two rankers have been introduced. These so-called multileaving methods are
    even more sensitive than their interleaving counterparts. Probabilistic interleaving—whose main…

    Online evaluation methods for information retrieval use implicit signals such as clicks from users to infer preferences between rankers. A highly sensitive way of inferring these preferences is through interleaved comparisons. Recently, interleaved comparisons methods that allow for simultaneous evaluation of more than two rankers have been introduced. These so-called multileaving methods are
    even more sensitive than their interleaving counterparts. Probabilistic interleaving—whose main selling point is the potential for reuse of historical data—has no multileaving counterpart yet. We propose
    probabilistic multileave and empirically show that it is highly sensitive and unbiased. An important implication of this result is that historical interactions with multileaved comparisons can be reused,
    allowing for ranker comparisons that need much less user interaction data. Furthermore, we show that our method, as opposed to earlier sensitive multileaving methods, scales well when the number of
    rankers increases.

    Andere auteurs
    Publicatie weergeven

Talen

  • English

    Volledige professionele vaardigheid

  • Dutch

    Moedertaal of tweetalig

  • German

    Basisvaardigheid

Meer activiteiten van Harrie

Bekijk het volledige profiel van Harrie

  • Bekijk wie u allebei kent
  • Word voorgesteld
  • Neem rechtstreeks contact op met Harrie
Word lid en bekijk het volledige profiel

Overige vergelijkbare profielen