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Found 5 papers, 1 papers with code
Visual Search at Pinterest
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.
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images
In this paper, we focus on training and evaluating effective word embeddings with both text and visual information.
Rethinking Personalized Ranking at Pinterest: An End-to-End Approach
In this work, we present our journey to revolutionize the personalized recommendation engine through end-to-end learning from raw user actions.
Evolution of a Web-Scale Near Duplicate Image Detection System
In this paper, we present an efficient system for detecting near duplicate images across 8 billion images.
OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search
In this paper, we present OmniSearchSage, a versatile and scalable system for understanding search queries, pins, and products for Pinterest search.
