TARARec: Two-Stage Augmented Retrieval and Alignment for Recommendation Leveraging Large Language Models

Biqing Zeng, Hao Shi, Yangyu Li, Huimin Deng. TARARec: Two-Stage Augmented Retrieval and Alignment for Recommendation Leveraging Large Language Models. In Masatoshi Yoshikawa, Xiaofeng Meng 0001, Yang Cao 0011, Chuan Xiao 0001, Weitong Chen 0001, Yanda Wang, editors, Advanced Data Mining and Applications - 21st International Conference, ADMA 2025, Kyoto, Japan, October 22-24, 2025, Proceedings, Part III. Volume 16199 of Lecture Notes in Computer Science, pages 336-349, Springer, 2025. [doi]

@inproceedings{ZengSLD25,
  title = {TARARec: Two-Stage Augmented Retrieval and Alignment for Recommendation Leveraging Large Language Models},
  author = {Biqing Zeng and Hao Shi and Yangyu Li and Huimin Deng},
  year = {2025},
  doi = {10.1007/978-981-95-3459-3_28},
  url = {https://doi.org/10.1007/978-981-95-3459-3_28},
  researchr = {https://researchr.org/publication/ZengSLD25},
  cites = {0},
  citedby = {0},
  pages = {336-349},
  booktitle = {Advanced Data Mining and Applications - 21st International Conference, ADMA 2025, Kyoto, Japan, October 22-24, 2025, Proceedings, Part III},
  editor = {Masatoshi Yoshikawa and Xiaofeng Meng 0001 and Yang Cao 0011 and Chuan Xiao 0001 and Weitong Chen 0001 and Yanda Wang},
  volume = {16199},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-95-3459-3},
}