Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery
From e-commerce to music and news, recommender systems are tailored to specific scenarios. While researching generic models applicable to various scenarios is crucial, studying recommendations based on the unique characteristics of a specific and vital scenario holds both research and, more importantly, practical value.
Authors
- Jiayu Li (ORCID: https://orcid.org/0000-0002-6351-897X)
- Peijie Sun (ORCID: https://orcid.org/0000-0001-9733-0521)
- Min Zhang (ORCID: https://orcid.org/0000-0003-3158-1920)
- Aixin Sun (ORCID: https://orcid.org/0000-0003-0764-4258)
- Weizhi Ma (ORCID: https://orcid.org/0000-0001-5604-7527)
Institutions
- Nanyang Technological University (SG)
- Peng Cheng Laboratory (CN)
- Tsinghua University (CN)
Publication Details
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1145/3640457.3688119
- Citations
- 1
- Primary Topic
- Recommender Systems and Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.78