DL4SR 2022
Workshop on Deep Learning for Search and Recommendation

Table of Contents

Summary: There were 21 papers submitted for peer-review to this workshop. Out of these, 12 papers were accepted for this volume, 7 as regular papers and 5 as short papers.

Regular Papers

• Preventing Negative Transfer on Sentiment Analysis in Deep Transfer Learning
  Osayande P. Omondiagbe , Sherlock A Licorish , Stephen G. MacDonell
• Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction
  Tesi Xiao , Xia Xiao , Ming Chen , Youlong Chen
• Entire Cost Enhanced Multi-Task Model for Online-to-Offline Conversion Rate Prediction
  Yingyi Zhang , Xianneng Li , Yahe Yu , Jian Tang , Huanfang Deng , Junya Lu , Yeyin Zhang , Qiancheng Jiang , Yunsen Xian , Liqian Yu
• A Two-Phased Approach to Training Data Generation for Shopping Query Intent Prediction
  Gautam Kumar , Chikara Hashimoto
• Partial Relaxed Optimal Transport for Denoised Recommendation
  Yanchao Tan , Carl Yang , Yanchao Tan , Ziyue Wu , Weiming Liu , Xiaolin Zheng
• Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews
  Vito Walter Anelli , Yashar Deldjoo , Tommaso Di Noia , Eugenio Di Sciascio , Antonio Ferrara , Daniele Malitesta , Claudio Pomo
• LDKP - A Dataset for Identifying Keyphrases from Long Scientific Documents
  Debanjan Mahata , Navneet Agarwal , Dibya Gautam , Amardeep Kumar , Swapnil Parekh , Yaman Kumar Singla , Anish Acharya , Rajiv Ratn Shah2

Short Papers

• Twice - Twitter Content Embeddings
  Xianjing Liu , Behzad Golshan , Kenny Leung , Aman Saini , Vivek Kulkarni , Ali Mollahosseini , Jeff Mo
• Spatiotemporal-Enhanced Network for Click-Through Rate Prediction in Location-based Services
  Shaochuan Lin , Yicong Yu , Xiyu Ji , Taotao Zhou , Hengxu He , Zisen Sang , Jia Jia , Guodong Cao , Ning Hu
• Session-based Recommendation with Dual Graph Networks
  Tajuddeen Rabiu Gwadabe , Mohammed Ali Mohammed Al-hababi , Ying Liu
• TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification
  Xue Li , Wei Shen , Denis Charles
• Exploiting Global Behavior Contextual Correlation in Sequential Recommendation Augmentation
  Qian Yu , Xiangdong Wu , Chen Yang , Zihao Zhao , Haoxin Liu , Chaosheng Fan , Changping Peng , Zhangang Lin , Jinghe Hu , Jingping Shao