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ORCIDDL4SR@CIKM 2022: Atlanta, GA, USA
- Wei Liu, Linsey Pang:
Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 17-21, 2022. CEUR Workshop Proceedings 3317, CEUR-WS.org 2023
Regular Papers
- Osayande P. Omondiagbe, Sherlock A. Licorish, Stephen G. MacDonell:
Preventing Negative Transfer on Sentiment Analysis in Deep Transfer Learning. - Tesi Xiao, Xia Xiao, Ming Chen, Youlong Chen:
Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction. - Yingyi Zhang, Xianneng Li, Yahe Yu, Jian Tang, Huanfang Deng, Junya Lu, Yeyin Zhang, Qiancheng Jiang, Yunsen Xian, Liqian Yu:
Entire Cost Enhanced Multi-Task Model for Online-to-Offline Conversion Rate Prediction. - Gautam Kumar, Chikara Hashimoto:
A Two-Phased Approach to Training Data Generation for Shopping Query Intent Prediction. - Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Weiming Liu, Xiaolin Zheng:
Partial Relaxed Optimal Transport for Denoised Recommendation. - Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo:
Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews. - Debanjan Mahata, Navneet Agarwal, Dibya Gautam, Amardeep Kumar, Swapnil Parekh, Yaman Kumar Singla, Anish Acharya, Rajiv Ratn Shah:
LDKP - A Dataset for Identifying Keyphrases from Long Scientific Documents.
Short Papers
- Xianjing Liu, Behzad Golshan, Kenny Leung, Aman Saini, Vivek Kulkarni, Ali Mollahosseini, Jeff Mo:
Twice - Twitter Content Embeddings. - Shaochuan Lin, Yicong Yu, Xiyu Ji, Taotao Zhou, Hengxu He, Zisen Sang, Jia Jia, Guodong Cao, Ning Hu:
Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based Services. - Tajuddeen Rabiu Gwadabe, Mohammed Ali Mohammed Al-Hababi, Ying Liu:
Session-based Recommendation with Dual Graph Networks. - Xue Li, Wei Shen, Denis Charles:
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification. - Qian Yu, Xiangdong Wu, Chen Yang, Zihao Zhao, Haoxin Liu, Chaosheng Fan, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao:
Exploiting Global Behavior Contextual Correlation in Sequential Recommendation Augmentation.
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