364 citations
- Alibaba Group (China)CN5 papers
- Tsinghua UniversityCN3 papers
- Shanghai Jiao Tong UniversityCN2 papers
- Zhejiang UniversityCN2 papers
- Financial Research (Hungary)HU1 paper
- Financial Services AuthorityGB1 paper
- Indiana University BloomingtonUS1 paper
- King Abdullah University of Science and TechnologySA1 paper
- Peking UniversityCN1 paper
- Purdue University West LafayetteUS1 paper
- Southwestern University of Finance and EconomicsCN1 paper
- University of California, BerkeleyUS1 paper
5 papers · 1 filter
Deep Unified Representation for Heterogeneous Recommendation
Chengqiang Lu, Mingyang Yin, Shuheng Shen +3
Recommendation system has been a widely studied task both in academia and industry. Previous works mainly focus on homogeneous recommendation and little progress has been made for…
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction
Yufei Feng, Fuyu Lv, Binbin Hu +5
Click-through rate (CTR) prediction is a critical task for many industrial systems, such as display advertising and recommender systems. Recently, modeling user behavior sequences…
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation
Yufei Feng, Binbin Hu, Fuyu Lv +3
Recommender system (RS) devotes to predicting user preference to a given item and has been widely deployed in most web-scale applications. Recently, knowledge graph (KG) attracts m…
Open-Retrieval Conversational Question Answering
Chen Qu, Liu Yang, Cen Chen +3
Conversational search is one of the ultimate goals of information retrieval. Recent research approaches conversational search by simplified settings of response ranking and convers…
RNE: A Scalable Network Embedding for Billion-scale Recommendation
Jianbin Lin, Daixin Wang, Lu Guan +5
Nowadays designing a real recommendation system has been a critical problem for both academic and industry. However, due to the huge number of users and items, the diversity and dy…