BriefGPT.xyz
Sep, 2020
从成对比较中同时学习偏好和度量
Simultaneous Preference and Metric Learning from Paired Comparisons
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Austin Xu, Mark A. Davenport
TL;DR
本文介绍了一种新的方法,该方法针对推荐系统中的偏好建立了一种Mahalanobis度量,进而学习理解用户对物品的理想点。
Abstract
A popular model of
preference
in the context of
recommendation systems
is the so-called \emph{ideal point} model. In this model, a user is represented as a vector $\mathbf{u}$ together with a collection of items
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