7 citations · 9 across the 4 of their papers we have counts for
4 papers
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters
Xiangru Lian, Binhang Yuan, Xuefeng Zhu +24
Deep learning based models have dominated the current landscape of production recommender systems. Furthermore, recent years have witnessed an exponential growth of the model scale…
POSO: Personalized Cold Start Modules for Large-scale Recommender Systems
Shangfeng Dai, Haobin Lin, Zhichen Zhao +5
Recommendation for new users, also called user cold start, has been a well-recognized challenge for online recommender systems. Most existing methods view the crux as the lack of i…
Using Query Expansion in Manifold Ranking for Query-Oriented Multi-Document Summarization
Quanye Jia, Rui Liu, Jianying Lin
Manifold ranking has been successfully applied in query-oriented multi-document summarization. It not only makes use of the relationships among the sentences, but also the relation…
Joint Lifelong Topic Model and Manifold Ranking for Document Summarization
Jianying Lin, Rui Liu, Quanye Jia
Due to the manifold ranking method has a significant effect on the ranking of unknown data based on known data by using a weighted network, many researchers use the manifold rankin…