23 citations · 37 across the 7 of their papers we have counts for
3 papers · 1 filter
DashCLIP: Leveraging multimodal models for generating semantic embeddings for DoorDash
Omkar Gurjar, Kin Sum Liu, Praveen Kolli +2
Despite the success of vision-language models in various generative tasks, obtaining high-quality semantic representations for products and user intents is still challenging due to…
An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction
Conor O'Brien, Kin Sum Liu, James Neufeld +2
Industrial recommender systems are frequently tasked with approximating probabilities for multiple, often closely related, user actions. For example, predicting if a user will clic…
Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph
Chien-Chun Ni, Kin Sum Liu, Nicolas Torzec
In this paper, we describe an embedding-based entity recommendation framework for Wikipedia that organizes Wikipedia into a collection of graphs layered on top of each other, learn…