KDD 2023 Workshop Cup Submissions

Co-visitation Meets Token Alignment for Next Product Title Generation
Chenwang Wu, Leyan Deng, Zhihao Zhu, Defu Lian
- Published: 27 Jul 2023, Last Modified: 05 Aug 2023
- KDDCup 2023 Oral
- Readers: Everyone
Winning Amazon KDD Cup'23
Chris Deotte, Kazuki onodera, Jean-Francois Puget, Benedikt Schifferer, Gilberto Titericz
- Published: 27 Jul 2023, Last Modified: 05 Aug 2023
- KDDCup 2023 Oral
- Readers: Everyone
Practical Content-aware Session-based Recommendation: Deep Retrieve then Shallow Rank
Yuxuan Lei, Xiaolong Chen, Defu Lian, Peiyan Zhang, Jianxun Lian, Chaozhuo Li, Xing Xie
- Published: 27 Jul 2023, Last Modified: 05 Aug 2023
- KDDCup 2023 Oral
- Readers: Everyone
Next Product Title Generation in E-commerce: Rule-based Methods and Autoencoder Model
Junya Miyamoto, Shinnosuke Hirano, Soma Makino, Kazuya Uekado, Xinyi Lao
- Published: 27 Jul 2023, Last Modified: 05 Aug 2023
- KDDCup 2023 Poster
- Readers: Everyone
Candidate Reranking Solution using Many Variant Features for KDDCup2023, Team YAMALEX Solution
Hiroki Yamamoto, Takashi Sasaki, Shin Higuchi, Tomonori Fujiwara, Shun Yoshioka
- Published: 27 Jul 2023, Last Modified: 05 Aug 2023
- KDDCup 2023 Poster
- Readers: Everyone
A Stacking and Transfer Learning with Diverse Similarity For Building Multilingual Session-based Recommendation Systems
Jiangwei Luo, Zhouzhou He, Ye Tang, Wentao Tang, Li Cheng
- Published: 27 Jul 2023, Last Modified: 05 Aug 2023
- KDDCup 2023 Oral
- Readers: Everyone
Statistical and Generative Models with Subtitle Extraction for Next Product Title Generation
Honghee Lee, Youngjae Chang, Kyuri Choi, Jongwuk Lee, Youngjoong Ko
- Published: 27 Jul 2023, Last Modified: 05 Aug 2023
- KDDCup 2023 Oral
- Readers: Everyone
6th Place Solution to Amazon KDD Cup ’23 Task2: Next Product Recommendation for Underrepresented Languages
Chiaki Ichimura, Daiki Toda
- Published: 27 Jul 2023, Last Modified: 05 Aug 2023
- KDDCup 2023 Poster
- Readers: Everyone
Language-Enhanced Session-Based Recommendation with Decoupled Contrastive Learning
Zhipeng Zhang, Piao Tong, YINGWEI MA, Qiao Liu, Xujiang Liu, Xu Luo
- Published: 27 Jul 2023, Last Modified: 05 Aug 2023
- KDDCup 2023 Poster
- Readers: Everyone
Prediction of next product title by simple deletion of the last word
Meisaku Suzuki, Ryo Koyama, Shin Ishiguro, Shunya Imada, Yuya Kunimoto
- Published: 27 Jul 2023, Last Modified: 05 Aug 2023
- KDDCup 2023 Poster
- Readers: Everyone
A completely locale-independent session-based recommender system by leveraging trained model
Yu Tokutake, Chihiro Yamasaki, Yongzhi Jin, Ayuka Inoue, Kei Harada
- Published: 27 Jul 2023, Last Modified: 05 Aug 2023
- KDDCup 2023 Poster
- Readers: Everyone
A Hybrid Approach of Statistics and Embeddings for Multilingual and Multi-Locale Recommendation
Weijia Zhang, Jin Zhan, Zhongshan Huang, Lu Wang, Qiang Wang
- Published: 27 Jul 2023, Last Modified: 05 Aug 2023
- KDDCup 2023 Oral
- Readers: Everyone
A Two-stage Ranking Framework for Multilingual Recommendation(Team:AIDA)
Shijie Liu, Chenliang Zhang, Xutao Han, Wen Wu, Wei Zhang
- Published: 27 Jul 2023, Last Modified: 05 Aug 2023
- KDDCup 2023 Poster
- Readers: Everyone
Word Filtering Approach for Next Product Title Generation
Yusuke Fukushima, Keiichi Ochiai, Yoshitaka Inoue, Masato Hashimoto, Sho Maeoki
- Published: 27 Jul 2023, Last Modified: 05 Aug 2023
- KDDCup 2023 Poster
- Readers: Everyone