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Showing 1 to 1 of 1 for “"Collaborative ranking"”.

  1. Collaborative ranking from ordinal data

    Thekumparampil, Kiran KoshyUniversity of Illinois at Urbana-Champaign2017

    … inspired, convex relaxation algorithm to collaboratively learn hidden preferences of users through the multinomial logit (MNL) model, a discrete choice model. It also shows that the algorithm is efficient in terms of the number of observations needed.

    uiuc Repository record