Quantum recommendation systems

I. Kerenidis, A. Prakash · 2016 · arXiv

| 编号 QR051 | 主题 算法与批判 | 链接 arXiv:1603.08675 |

摘要

摘要保留原文（英文）

摘要取自 arXiv / 出版方元数据，未作翻译，以保证与原文一致。

A recommendation system uses the past purchases or ratings of n products by a group of m users, in order to provide personalized recommendations to individual users. The information is modeled as an m × n preference matrix which is assumed to have a good rank-k approximation, for a small constant k.

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