Accepted Contributions
- Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang and Yong Yu: Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models [paper]
- Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu and Ruiming Tang: DFFM: Domain Facilitated Feature Modeling for CTR Prediction
- Chuhan Wu, Jingjie Li, Qinglin Jia, Hong Zhu, Yuan Fang and Ruiming Tang: Contrastive Multi-view Framework for Customer Lifetime Value Prediction
- Qi Zhang, Chuhan Wu, Jieming Zhu, Jingjie Li, Qinglin Jia, Ruiming Tang, Rui Zhang and Liangbi Li: Making the Full Model Adaptive: Multi-level Domain Adaptation for Multi-Domain CTR Prediction
- Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang and Weinan Zhang: How Can Recommender Systems Benefit from Large Language Models: A Survey [paper]
- Xiangyang Li, Bo Chen, Lu Hou and Ruiming Tang: CTRL: Connect Tabular and Language Model for CTR Prediction [paper]
- Ningning Li, Qiwei Chen, Tao Zhuang, Lisong Qiu, Yang Xi, Shanshan Lv, Wenbo Su and Junfeng Ge: Post-Training Quantization of Large and Sparse Embeddings in Deep Recommendation Models
- Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan and Qing Li: STRec: Sparse Transformer for Sequential Recommendations
- Qidong Liu, Jiaxi Hu, Yutian Xiao, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Qing Li and Jiliang Tang: Multimodal Recommender Systems: A Survey
- Shuwei Chen, Xiang Li, Jian Dong, Jin Zhang and Yongkang Wang: TBIN: Modeling Long Textual Behavior Data for CTR Prediction
- Shijie Zhu, Hui Zhao, Pengjie Wang, Hongbo Deng, Jian Xu and Bo Zheng: Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning
- Jianghao Lin, Bo Chen, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu and Weinan Zhang: ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction [paper]
- Yan Li, Kan Ren and Dongsheng Li: Empowering Large Language Models for Time Series Data Analysis
- Yunpeng Weng, Xing Tang, Liang Chen, Dugang Liu and Xiuqiang He: Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms
- Jingyue Gao, Shuguang Han, Han Zhu, Siran Yang, Yuning Jiang, Jian Xu and Bo Zheng: Rec4Ad: A Free Lunch to Mitigate Selection Bias for Ads CTR Prediction in Taobao
- Shanshan Lyu, Qiwei Chen, Juncheng Wan, Tao Zhuang, Wenbo Su, Lisong Qiu, Ningning Li and Junfeng Ge: Multi-interest Contextualized Feedback Network for Click-Through Rate Prediction in Recommendation
- Shan Chen, Wei Zhang, Haitao Wang, Pengye Zhang, Bo Zhang, Qiang Liu and Junyan Qiu: ADMN: An Adversarial Decoupling and MoE-based Network for Multi-domain Embedding Fusion
- Venkataramana Kini, Ravi Kiran Divvela, Devendra Yadav, Zhen Wen and Fei Wang: Customer Long Term Propensity Driven Prime Video Page Composition
- Zihao Deng, Benjamin Ghaemmaghami, Ashish Singh, Benjamin Cho, Leo Orshansky, Mattan Erez and Michael Orshansky: Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training [paper][poster]
- Kounianhua Du, Jizheng Chen, Jianghao Lin, Bo Chen, Menghui Zhu, Ruiming Tang, Weinan Zhang and Yong Yu: Extracting Essential and Disentangled Knowledge for Recommendation Enhancement