1 citations · 1 across the 4 of their papers we have counts for
4 papers
Dimension Mask Layer: Optimizing Embedding Efficiency for Scalable ID-based Models
Srijan Saket, Ikuhiro Ihara, Vaibhav Sharma +1
In modern recommendation systems and social media platforms like Meta, TikTok, and Instagram, large-scale ID-based features often require embedding tables that consume significant…
Real-time Event Joining in Practice With Kafka and Flink
Srijan Saket, Vivek Chandela, Md. Danish Kalim
Historically, machine learning training pipelines have predominantly relied on batch training models, retraining models every few hours. However, industrial practitioners have prov…
Crafting Tomorrow: The Influence of Design Choices on Fresh Content in Social Media Recommendation
Srijan Saket, Mohit Agarwal, Rishabh Mehrotra
The rise in popularity of social media platforms, has resulted in millions of new, content pieces being created every day. This surge in content creation underscores the need to pa…
Monitoring the Evolution of Behavioural Embeddings in Social Media Recommendation
Srijan Saket, Olivier Jeunen, Md. Danish Kalim
Emerging short-video platforms like TikTok, Instagram Reels, and ShareChat present unique challenges for recommender systems, primarily originating from a continuous stream of new…