City-scalable Destination Recommender System for On-demand Senior Mobility
| 项目名称： | City-scalable Destination Recommender System for On-demand Senior Mobility |
| 摘要： | As one of the direct beneficiaries of advances in information & communications technologies, mobility on-demand (MOD) fleet operations have grown increasingly relevant to the operation of smart cities. Many seniors face mobility issues and differences in life-style from the rest of the population; as a result, recommended destinations for the general population may not be preferable to this specific subpopulation. This project is developing a new inference tool that fleet operators can use over time to efficiently learn users� preferences for different destinations. A �routing-constrained recommender system� is being developed with a component to select a subset of destinations that are route-constrained to recommend to the user to select, and sequential learning component that takes different users� feedback (e.g. a 5-star rating and selection of destination in each case) to update the knowledge base. |
| 状态： | Completed |
| 资金： | $103,694 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART) |
| 执行机构： | Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART) |
| 主要研究人员： | Cheu, Ruey Long |
| 开始时间： | 20170301 |
| 预计完成日期： | 20181031 |
| 实际结束时间： | 20181031 |
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