1 citations · 1 across the 5 of their papers we have counts for
5 papers
Advancing Relevance Measurement with Vision-Language Models for Web-Scale Search
Han Wang, Alex Whitworth, Pak Ming Cheung +5
Relevance evaluation plays a crucial role in personalized search systems, serving as a guardrail alongside user engagement metrics to ensure that search results align with user que…
LLM-based Relevance Assessment for Web-Scale Search Evaluation at Pinterest
Han Wang, Alex Whitworth, Pak Ming Cheung +2
Relevance evaluation plays a crucial role in personalized search systems to ensure that search results align with a user's queries and intent. While human annotation is the traditi…
Improving Pinterest Search Relevance Using Large Language Models
Han Wang, Mukuntha Narayanan Sundararaman, Onur Gungor +5
To improve relevance scoring on Pinterest Search, we integrate Large Language Models (LLMs) into our search relevance model, leveraging carefully designed text representations to p…
Emerging Synergies Between Large Language Models and Machine Learning in Ecommerce Recommendations
Xiaonan Xu, Yichao Wu, Penghao Liang +2
With the boom of e-commerce and web applications, recommender systems have become an important part of our daily lives, providing personalized recommendations based on the user's p…
BitUP: Efficient Bitmap Data Storage Solution For User Profile
Derong Tang, Hank Wang
User profile is widely used in the internet consumer industry, it can be used in recommendation systems for better user experience, or improving Ads system with better conversion r…