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 - researchr publication

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Wei Liu 0007, Linsey Pang, editors, 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. Volume 3317 of CEUR Workshop Proceedings, CEUR-WS.org, 2023. [doi]

Conference: CIKM2023

Abstract is missing.

Exploiting Global Behavior Contextual Correlation in Sequential Recommendation AugmentationQian Yu, Xiangdong Wu, Chen Yang 0018, Zihao Zhao, Haoxin Liu, Chaosheng Fan, Changping Peng, Zhangang Lin, Jinghe Hu, JingPing Shao. [doi]

Partial Relaxed Optimal Transport for Denoised RecommendationYanchao Tan, Carl Yang, Yanchao Tan, Ziyue Wu, Weiming Liu, Xiaolin Zheng. [doi]

LDKP - A Dataset for Identifying Keyphrases from Long Scientific DocumentsDebanjan Mahata, Navneet Agarwal, Dibya Gautam, Amardeep Kumar, Swapnil Parekh, Yaman Kumar Singla, Anish Acharya, Rajiv Ratn Shah. [doi]

Session-based Recommendation with Dual Graph NetworksTajuddeen Rabiu Gwadabe, Mohammed Ali Mohammed Al-Hababi, Ying Liu. [doi]

TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty QuantificationXue Li, Wei Shen, Denis Charles. [doi]

A Two-Phased Approach to Training Data Generation for Shopping Query Intent PredictionGautam Kumar, Chikara Hashimoto. [doi]

Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer ReviewsVito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo. [doi]

Twice - Twitter Content EmbeddingsXianjing Liu, Behzad Golshan, Kenny Leung, Aman Saini, Vivek Kulkarni, Ali Mollahosseini, Jeff Mo. [doi]

Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate PredictionTesi Xiao, Xia Xiao, Ming Chen, Youlong Chen. [doi]

Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based ServicesShaochuan Lin, Yicong Yu, Xiyu Ji, Taotao Zhou, Hengxu He, Zisen Sang, Jia Jia, Guodong Cao, Ning Hu. [doi]

Preventing Negative Transfer on Sentiment Analysis in Deep Transfer LearningOsayande P. Omondiagbe, Sherlock A. Licorish, Stephen G. MacDonell. [doi]

Entire Cost Enhanced Multi-Task Model for Online-to-Offline Conversion Rate PredictionYingyi Zhang, Xianneng Li, Yahe Yu, Jian Tang, Huanfang Deng, Junya Lu, Yeyin Zhang, Qiancheng Jiang, Yunsen Xian, Liqian Yu. [doi]

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