改进协同过滤

2021 IV International Conference on Control in Technical Systems (CTS) Pub Date : 2021-09-21 DOI:10.1109/CTS53513.2021.9562797

Jurij A. Morozov, S. E. Saradgishvili

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引用次数: 0

摘要

在本文中，我们在创建协同过滤时尝试使用度量组合来计算相似度。使用了Otai系数和欧几里得距离，得到了一个令人满意的推荐系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Improving Collaborative Filtering

In this paper, we experiment with a combination of metrics to calculate the similarity when creating collaborative filtering. The Otai Coefficient and Euclidean Distance are used, resulting in a recommender system that produces a satisfactory result.

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2021 IV International Conference on Control in Technical Systems (CTS)

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