Towards Capacity-Aware Broker Matching : From Recommendation to Assignment
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2023 IEEE 39th International Conference on Data Engineering |
| Subtitle of host publication | ICDE 2023 |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. |
| Pages | 776-788 |
| ISBN (electronic) | 9798350322279 |
| ISBN (print) | 979-8-3503-2228-6 |
| Publication status | Published - 2023 |
Publication series
| Name | Proceedings - International Conference on Data Engineering |
|---|---|
| ISSN (Print) | 1063-6382 |
| ISSN (electronic) | 2375-026X |
Conference
| Title | 39th IEEE International Conference on Data Engineering (ICDE 2023) |
|---|---|
| Location | Marriott Anaheim |
| Place | United States |
| City | Anaheim |
| Period | 3 - 7 April 2023 |
Link(s)
Abstract
Online real estate platforms are gaining increasing popularity, where a central issue is to match brokers with clients for potential housing transactions. Mainstream platforms match brokers via top-k recommendation. Yet we observe through extensive data analysis that such top-k recommendation tends to overload the top brokers, which notably degrades their service quality. In this paper, we propose to avoid such overloading in broker matching via the paradigm shift from recommendation to assignment. To this end, we design learned assignment with contextual bandits (LACB), a data-driven capacity-aware assignment scheme for broker matching which estimates broker-specific workload capacity in an online fashion and assigns brokers to clients from a global perspective to maximize the overall service quality. Extensive evaluations on synthetic and real-world datasets from an industrial online real estate platform validate the efficiency and effectiveness of our solution. © 2023 IEEE.
Research Area(s)
- Broker Matching, Capacity-Aware, Real Estate Platform
Bibliographic Note
Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).
Citation Format(s)
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment. / Wei, Shuyue; Tong, Yongxin; Zhou, Zimu et al.
Proceedings - 2023 IEEE 39th International Conference on Data Engineering: ICDE 2023. Institute of Electrical and Electronics Engineers, Inc., 2023. p. 776-788 (Proceedings - International Conference on Data Engineering).
Proceedings - 2023 IEEE 39th International Conference on Data Engineering: ICDE 2023. Institute of Electrical and Electronics Engineers, Inc., 2023. p. 776-788 (Proceedings - International Conference on Data Engineering).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
