Related Pins at Pinterest: The Evolution of a Real-World Recommender System

no code implementations • 26 Feb 2017 • David C. Liu, Stephanie Rogers, Raymond Shiau, Dmitry Kislyuk, Kevin C. Ma, Zhigang Zhong, Jenny Liu, Yushi Jing

Related Pins is the Web-scale recommender system that powers over 40% of user engagement on Pinterest.

Recommendation Systems

Visual Discovery at Pinterest

no code implementations • 15 Feb 2017 • Andrew Zhai, Dmitry Kislyuk, Yushi Jing, Michael Feng, Eric Tzeng, Jeff Donahue, Yue Li Du, Trevor Darrell

Over the past three years Pinterest has experimented with several visual search and recommendation services, including Related Pins (2014), Similar Looks (2015), Flashlight (2016) and Lens (2017).

object-detection Object Detection

Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images

no code implementations • NeurIPS 2016 • Junhua Mao, Jiajing Xu, Yushi Jing, Alan Yuille

In this paper, we focus on training and evaluating effective word embeddings with both text and visual information.

Image Retrieval Sentence +1

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

no code implementations • 12 Nov 2015 • Dmitry Kislyuk, Yuchen Liu, David Liu, Eric Tzeng, Yushi Jing

This paper presents Pinterest Related Pins, an item-to-item recommendation system that combines collaborative filtering with content-based ranking.

Collaborative Filtering

Visual Search at Pinterest

no code implementations • 28 May 2015 • Yushi Jing, David Liu, Dmitry Kislyuk, Andrew Zhai, Jiajing Xu, Jeff Donahue, Sarah Tavel

We demonstrate that, with the availability of distributed computation platforms such as Amazon Web Services and open-source tools, it is possible for a small engineering team to build, launch and maintain a cost-effective, large-scale visual search system with widely available tools.