Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.

@inproceedings{zhang-2023-efficiently, author = {Peiyan Zhang and Jiayan Guo and Chaozhuo Li and Yueqi Xie and Jaeboum Kim and Yan Zhang and Xing Xie and Haohan Wang and Sunghun Kim}, editor = {Tat-Seng Chua and Hady Wirawan Lauw and Luo Si and Evimaria Terzi and Panayiotis Tsaparas}, title = {{Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network}}, booktitle = {{Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023}}, pages = {168--176}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539597.3570445}, doi = {https://doi.org/10.1145/3539597.3570445} }