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- Zhejiang UniversityCN55 papers
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- University of Science and Technology of ChinaCN18 papers
- Chinese Academy of SciencesCN15 papers
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7 papers · 2 filters
Controllable Multi-Objective Re-ranking with Policy Hypernetworks
Sirui Chen, Yuan Wang, Zijing Wen +6
Multi-stage ranking pipelines have become widely used strategies in modern recommender systems, where the final stage aims to return a ranked list of items that balances a number o…
Contrastive Learning for Conversion Rate Prediction
Wentao Ouyang, Rui Dong, Xiuwu Zhang +4
Conversion rate (CVR) prediction plays an important role in advertising systems. Recently, supervised deep neural network-based models have shown promising performance in CVR predi…
U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation
Yuanxing Liu, Weinan Zhang, Baohua Dong +8
Conversational recommender systems (CRSs) aim to understand the information needs and preferences expressed in a dialogue to recommend suitable items to the user. Most of the exist…
OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification
Lin Dengtian, Ma Yang, Li Yuhong +3
Illegal live-streaming identification, which aims to help live-streaming platforms immediately recognize the illegal behaviors in the live-streaming, such as selling precious and e…
Delving into E-Commerce Product Retrieval with Vision-Language Pre-training
Xiaoyang Zheng, Fuyu Lv, Zilong Wang +2
E-commerce search engines comprise a retrieval phase and a ranking phase, where the first one returns a candidate product set given user queries. Recently, vision-language pre-trai…
Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search
Qijie Shen, Hong Wen, Jing Zhang +1
Estimating Click-Through Rate (CTR) is a vital yet challenging task in personalized product search. However, existing CTR methods still struggle in the product search settings due…