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Vol-3317
urn:nbn:de:0074-3317-4
Copyright © 2022 for
the individual papers by the papers' authors.
Copyright © 2022 for the volume
as a collection by its editors.
This volume and its papers are published under the
Creative Commons License Attribution 4.0 International
(CC BY 4.0).
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DL4SR 2022
Workshop on Deep Learning for Search and Recommendation
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.
Edited by
* University of Technology Sydney, Sydney, NSW, Australia
** Salesforce, San Francisco, California, USA
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
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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
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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
2022-12-30: submitted by Linsey Pang, metadata incl. bibliographic data published under Creative Commons CC0
2023-01-08: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|