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arXiv · 1511.04003

Human Curation and Convnets: Powering Item-to-Item Recommendations on Pinterest

Dmitry Kislyuk·Yuchen Liu·David Liu·Eric Tzeng·Yushi Jing
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Abstract

This paper presents Pinterest Related Pins, an item-to-item recommendation system that combines collaborative filtering with content-based ranking. We demonstrate that signals derived from user curation, the activity of users organizing content, are highly effective when used in conjunction with content-based ranking. This paper also demonstrates the effectiveness of visual features, such as image or object representations learned from convnets, in improving the user engagement rate of our item-to-item recommendation system.

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Dmitry Kislyuk, Yuchen Liu, David Liu, Eric Tzeng, Yushi Jing. 2015-11-12. Human Curation and Convnets: Powering Item-to-Item Recommendations on Pinterest. https://arxiv.org/abs/1511.04003

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