G-TRAC: Graph-textual Representations Alignment for Cold-start Recommendations.
Li-Yang Chang|Yuan Fang|Ming-Feng Tsai|Chuan-Ju Wang
| Anthology ID: | DBLP:conf/wsdm/Chang0TW26 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1089-1093 |
| URL: | https://doi.org/10.1145/3773966.3779358 |
| DOI: | https://doi.org/10.1145/3773966.3779358 |
| DBLP: | conf/wsdm/Chang0TW26 |
| BibTeX: |
@inproceedings{chang-2026-gtrac,
author = {Li-Yang Chang and
Yuan Fang and
Ming-Feng Tsai and
Chuan-Ju Wang},
title = {{G-TRAC: Graph-textual Representations Alignment for Cold-start Recommendations}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {1089--1093},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3779358},
doi = {https://doi.org/10.1145/3773966.3779358}
}