1 citations · 2 across the 4 of their papers we have counts for
4 papers
Mobile Supply: The Last Piece of Jigsaw of Recommender System
Zhenhao Jiang, Biao Zeng, Hao Feng +4
Recommendation system is a fundamental functionality of online platforms. With the development of computing power of mobile phones, some researchers have deployed recommendation al…
Asymmetric Patch Sampling for Contrastive Learning
Chengchao Shen, Jianzhong Chen, Shu Wang +3
Asymmetric appearance between positive pair effectively reduces the risk of representation degradation in contrastive learning. However, there are still a mass of appearance simila…
Joint embedding in Hierarchical distance and semantic representation learning for link prediction
Jin Liu, Jianye Chen, Chongfeng Fan +1
The link prediction task aims to predict missing entities or relations in the knowledge graph and is essential for the downstream application. Existing well-known models deal with…
A Frequency-aware Software Cache for Large Recommendation System Embeddings
Jiarui Fang, Geng Zhang, Jiatong Han +5
Deep learning recommendation models (DLRMs) have been widely applied in Internet companies. The embedding tables of DLRMs are too large to fit on GPU memory entirely. We propose a…