2 papers
cs.IR2025
DCN^2: Interplay of Implicit Collision Weights and Explicit Cross Layers for Large-Scale Recommendation
Blaž Å krlj, Yonatan Karni, Grega GaÅ¡perÅ¡iÄ +8
The Deep and Cross architecture (DCNv2) is a robust production baseline and is integral to numerous real-life recommender systems. Its inherent efficiency and ability to model inte…
cs.IR2024
Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems
Miha Malenšek, Blaž Škrlj, Blaž Mramor +1
Synthetic datasets are important for evaluating and testing machine learning models. When evaluating real-life recommender systems, high-dimensional categorical (and sparse) datase…