9 citations · 21 across the 5 of their papers we have counts for
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cs.IR2022★ 6 cited
A Brief History of Recommender Systems
Zhenhua Dong, Zhe Wang, Jun Xu +2
Soon after the invention of the Internet, the recommender system emerged and related technologies have been extensively studied and applied by both academia and industry. Currently…
cs.IR2021★ 2 cited
Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm
Lin Bo, Liang Pang, Gang Wang +3
Recently, pre-trained language models such as BERT have been applied to document ranking for information retrieval, which first pre-train a general language model on an unlabeled l…
cs.IR2019★ 9 cited
Pre-training of Context-aware Item Representation for Next Basket Recommendation
Jingxuan Yang, Jun Xu, Jianzhuo Tong +3
Next basket recommendation, which aims to predict the next a few items that a user most probably purchases given his historical transactions, plays a vital role in market basket an…