“Vector Forge” is a high-efficiency model that utilizes a content-based model as its core technology, designed to suppress performance degradation over time. Based on our experience with recommendations in LINE News, we improved and extended the model across different services. We discuss here about the importance of integrating content models with sequence recommendation models, as well as the construction of a model evaluation system.



DAY 1
13:30-14:00 JST
Seminar Room B
JaEnKo
Streaming
Vector Forge Project: Developing Next-Gen Embedding Representations of Users and Items Across Services Using Ray and DeepSpeed
Speaker

Iida Katsuya / LY Corporation
Data Group Data Science Group 5 ML 2 Model Dev 3
I joined LINE Corporation in 2022 and am currently working on the development and operation of the foundational models and LINE News recommendation system.