{"type":"ScholarlyArticle","title":"Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms","authors":[{"name":"Boyang Li","slug":"boyang-li","given":"Boyang","family":"Li","affiliation":"School of Computer Science and Engineering , Northeastern University , China"},{"name":"Yurong Cheng","slug":"yurong-cheng","given":"Yurong","family":"Cheng","affiliation":"School of Computer Science and Technology , Beijing Institute of Technology , China"},{"name":"Ye Yuan","slug":"ye-yuan","given":"Ye","family":"Yuan","affiliation":"School of Computer Science and Engineering , Northeastern University , China"},{"name":"Guoren Wang","slug":"guoren-wang","given":"Guoren","family":"Wang","affiliation":"School of Computer Science and Technology , Beijing Institute of Technology , China"},{"name":"Lei Chen","slug":"lei-chen","given":"Lei","family":"Chen","affiliation":"The Hong Kong University of Science and Technology , Hong Kong SAR , China"}],"abstract":"In recent years, 3D spatial crowdsourcing platforms become popular, in which users and workers travel together to their assigned workplaces for services, such as InterestingSport and Nanguache. A typical problem over 3D spatial crowdsourcing platforms is to match users with suitable workers and workplaces. Existing studies all ignored that the workers and users assigned to the same workplace should arrive almost at the same time, which is very practical in the real world. Thus, in this paper, we propose a new Simultaneous Arrival Matching (SAM), which enables workers and users to arrive at their assigned workplace within a given tolerant time. We find that the new considered arriving time constraint breaks the monotonic additivity of the result set. Thus, it brings a large challenge in designing effective and efficient algorithms for the SAM. We design Sliding Window algorithm and Threshold Scanning algorithm to solve the SAM. We conduct the experiments on real and synthetic datasets, experimental results show the effectiveness and efficiency of our algorithms.","doi":"10.24963/ijcai.2020/178","url":"https://ijcai.org/proceedings/2020/178","pdf":"https://ijcai.org/proceedings/2020/0178.pdf","markdown":"https://ijcai.org/proceedings/2020/178.md","bibtex":"https://ijcai.org/proceedings/2020/bibtex/178","volume":{"slug":"2020","title":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2020","url":"https://ijcai.org/proceedings/2020/","year":2020,"location":"Yokohama","dates":"January 2021 (postponed from 11-17 July 2020)","editors":"Christian Bessiere","isbn":"978-0-9992411-6-5","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2020"},"section":"Data Mining","track":"Main track","number":178,"pages":{"first":1279,"last":1287},"keywords":["Data Mining: Mining Spatial, Temporal Data","Data Mining: Other"],"videos":[{"label":"Video","url":"https://videos.ijcai20.org/24715/file_24715.m3u8","length_sec":276,"provider":"hls"}],"references":[{"position":1,"raw":"[Bei and Zhang, 2018] Xiaohui Bei and Shengyu Zhang. Al- gorithms for trip-vehicle assignment in ride-sharing. In AAAI, pages 3-9, 2018.","title":"Algorithms for trip-vehicle assignment in ride-sharing","authors":"Xiaohui Bei, Shengyu Zhang","year":"2018","venue":"AAAI","doi":null,"url":null,"internal_url":null},{"position":2,"raw":"[Chen et al., 2014] Zhao Chen, Rui Fu, Ziyuan Zhao, Zheng Liu, Leihao Xia, Lei Chen, Peng Cheng, Caleb Chen Cao, Yongxin Tong, and Chen Jason Zhang. gmission: A gen- eral spatial crowdsourcing platform. PVLDB, 7(13):1629- 1632, 2014.","title":"gmission: A general spatial crowdsourcing platform","authors":"Rui Zhao Chen, Ziyuan Fu, Zheng Zhao, Leihao Liu, Lei Xia, Peng Chen, Caleb Cheng, Yongxin Chen Cao, Chen Jason Tong, Zhang","year":"2014","venue":"PVLDB","doi":null,"url":null,"internal_url":null},{"position":3,"raw":"[Chen et al., 2019] Zhao Chen, Peng Cheng, Yuxiang Zeng, and Lei Chen. Minimizing maximum delay of task as- signment in spatial crowdsourcing. In ICDE, pages 1454- 1465, 2019.","title":"Minimizing maximum delay of task assignment in spatial crowdsourcing","authors":"Peng Zhao Chen, Yuxiang Cheng, Lei Zeng, Chen","year":"2019","venue":"ICDE","doi":null,"url":null,"internal_url":null},{"position":4,"raw":"[Cheng et al., 2015] Peng Cheng, Xiang Lian, Zhao Chen, Rui Fu, Lei Chen, Jinsong Han, and Jizhong Zhao. Re- liable diversity-based spatial crowdsourcing by moving workers. PVLDB, 8(10):1022-1033, 2015.","title":"Reliable diversity-based spatial crowdsourcing by moving workers","authors":"Peng Cheng, Xiang Lian, Zhao Chen, Rui Fu, Lei Chen, Jinsong Han, Jizhong Zhao","year":"2015","venue":"PVLDB","doi":null,"url":null,"internal_url":null},{"position":5,"raw":"[Cheng et al., 2017a] Peng Cheng, Xiang Lian, Lei Chen, and Cyrus Shahabi. Prediction-based task assignment in spatial crowdsourcing. In ICDE, pages 997-1008, 2017.","title":"Prediction-based task assignment in spatial crowdsourcing","authors":"Cheng","year":"2017","venue":"ICDE","doi":null,"url":null,"internal_url":null},{"position":6,"raw":"[Cheng et al., 2017b] Yurong Cheng, Ye Yuan, Lei Chen, Christophe G. Giraud-Carrier, and Guoren Wang. Com- plex event-participant planning and its incremental variant. In ICDE, pages 859-870, 2017.","title":"Complex event-participant planning and its incremental variant","authors":"Cheng","year":"2017","venue":"ICDE","doi":null,"url":null,"internal_url":null},{"position":7,"raw":"[Cheng et al., 2018] Peng Cheng, Xun Jian, and Lei Chen. An experimental evaluation of task assignment in spatial crowdsourcing. PVLDB, 11(11):1428-1440, 2018.","title":"An experimental evaluation of task assignment in spatial crowdsourcing","authors":"Peng Cheng, Xun Jian, Lei Chen","year":"2018","venue":"PVLDB","doi":null,"url":null,"internal_url":null},{"position":8,"raw":"[Gale and Shapley, 2013] D. Gale and L. S. Shapley. College admissions and the stability of marriage. The American Mathematical Monthly, 120(5):386-391, 2013.","title":"College admissions and the stability of marriage","authors":"D Gale, L S Shapley","year":"2013","venue":"The American Mathematical Monthly","doi":null,"url":null,"internal_url":null},{"position":9,"raw":"[Gao et al., 2016] Dawei Gao, Yongxin Tong, Jieying She, Tianshu Song, Lei Chen, and Ke Xu. Top-k team rec- ommendation in spatial crowdsourcing. In WAIM, pages 191-204, 2016.","title":"Top-k team recommendation in spatial crowdsourcing","authors":"Dawei Gao, Yongxin Tong, Jieying She, Tianshu Song, Lei Chen, Ke Xu","year":"2016","venue":"WAIM","doi":null,"url":null,"internal_url":null},{"position":10,"raw":"[Karp et al., 1990] Richard M. Karp, Umesh V. Vazirani, and Vijay V. Vazirani. An optimal algorithm for on-line bipar- tite matching. In STOC, pages 352-358, 1990.","title":"An optimal algorithm for on-line bipartite matching","authors":"Richard M Karp, Umesh V Vazirani, Vijay V Vazirani","year":"1990","venue":"STOC","doi":null,"url":null,"internal_url":null},{"position":11,"raw":"[Kazemi and Shahabi, 2012] Leyla Kazemi and Cyrus Sha- habi. Geocrowd: enabling query answering with spatial crowdsourcing. In SIGSPATIAL, pages 189-198, 2012.","title":"Geocrowd: enabling query answering with spatial crowdsourcing","authors":"Shahabi Kazemi, Leyla Kazemi, Cyrus Shahabi","year":"2012","venue":"SIGSPATIAL","doi":null,"url":null,"internal_url":null},{"position":12,"raw":"[Li et al., 2019] Boyang Li, Yurong Cheng, Ye Yuan, Guoren Wang, and Lei Chen. Three-dimensional stable matching problem for spatial crowdsourcing platforms. In KDD, pages 1643-1653, 2019.","title":"Three-dimensional stable matching problem for spatial crowdsourcing platforms","authors":"Boyang Li, Yurong Cheng, Ye Yuan, Guoren Wang, Lei Chen","year":"2019","venue":"KDD","doi":null,"url":null,"internal_url":null},{"position":13,"raw":"[She et al., 2015] Jieying She, Yongxin Tong, and Lei Chen. Utility-aware social event-participant planning. In SIG- MOD, pages 1629-1643, 2015.","title":"Utility-aware social event-participant planning","authors":"Jieying She, Yongxin Tong, Lei Chen","year":"2015","venue":"SIG-MOD","doi":null,"url":null,"internal_url":null},{"position":14,"raw":"[She et al., 2017] Jieying She, Yongxin Tong, Lei Chen, and Tianshu Song. Feedback-aware social event-participant ar- rangement. In SIGMOD, pages 851-865, 2017.","title":"Feedback-aware social event-participant arrangement","authors":"Jieying She, Yongxin Tong, Lei Chen, Tianshu Song","year":"2017","venue":"SIGMOD","doi":null,"url":null,"internal_url":null},{"position":15,"raw":"[Song et al., 2017] Tianshu Song, Yongxin Tong, Libin Wang, Jieying She, Bin Yao, Lei Chen, and Ke Xu. Trichromatic online matching in real-time spatial crowd- sourcing. In ICDE, pages 1009-1020, 2017.","title":"Trichromatic online matching in real-time spatial crowdsourcing","authors":"Tianshu Song, Yongxin Tong, Libin Wang, Jieying She, Bin Yao, Lei Chen, Ke Xu","year":"2017","venue":"ICDE","doi":null,"url":null,"internal_url":null},{"position":16,"raw":"[Song et al., 2018] Tianshu Song, Feng Zhu, and Ke Xu. Specialty-aware task assignment in spatial crowdsourcing. In AISC, pages 243-254, 2018.","title":"Specialty-aware task assignment in spatial crowdsourcing","authors":"Song","year":"2018","venue":"AISC","doi":null,"url":null,"internal_url":null},{"position":17,"raw":"[Tao et al., 2018] Qian Tao, Yuxiang Zeng, Zimu Zhou, Y- ongxin Tong, Lei Chen, and Ke Xu. Multi-worker-aware task planning in real-time spatial crowdsourcing. In DAS- FAA, pages 301-317, 2018.","title":"Multi-worker-aware task planning in real-time spatial crowdsourcing","authors":"Qian Tao, Yuxiang Zeng, Zimu Zhou, Yongxin Tong, Lei Chen, Ke Xu","year":"2018","venue":"DAS-FAA","doi":null,"url":null,"internal_url":null},{"position":18,"raw":"[To et al., 2015] Hien To, Cyrus Shahabi, and Leyla Kaze- mi. A server-assigned spatial crowdsourcing framework. TSAS, 1(1):2:1-2:28, 2015.","title":"A server-assigned spatial crowdsourcing framework","authors":"Hien To, Cyrus Shahabi, Leyla Kazemi","year":"2015","venue":"TSAS","doi":null,"url":null,"internal_url":null},{"position":19,"raw":"[Tong et al., 2016] Yongxin Tong, Jieying She, Bolin Ding, Lei Chen, Tianyu Wo, and Ke Xu. Online minimum matching in real-time spatial data: Experiments and anal- ysis. PVLDB, 9(12):1053-1064, 2016.","title":"Online minimum matching in real-time spatial data: Experiments and analysis","authors":"Yongxin Tong, Jieying She, Bolin Ding, Lei Chen, Tianyu Wo, Ke Xu","year":"2016","venue":"PVLDB","doi":null,"url":null,"internal_url":null},{"position":20,"raw":"[Tong et al., 2017] Yongxin Tong, Libin Wang, Zimu Zhou, Bolin Ding, Lei Chen, Jieping Ye, and Ke Xu. Flexible online task assignment in real-time spatial data. PVLDB, 10(11):1334-1345, 2017.","title":"Flexible online task assignment in real-time spatial data","authors":"Yongxin Tong, Libin Wang, Zimu Zhou, Bolin Ding, Lei Chen, Jieping Ye, Ke Xu","year":"2017","venue":"PVLDB","doi":null,"url":null,"internal_url":null},{"position":21,"raw":"[Tong et al., 2018a] Yongxin Tong, Libin Wang, Zimu Zhou, Lei Chen, Bowen Du, and Jieping Ye. Dynamic pricing in spatial crowdsourcing: A matching-based approach. In SIGMOD, pages 773-788, 2018.","title":"Dynamic pricing in spatial crowdsourcing: A matching-based approach","authors":"Tong","year":"2018","venue":"SIGMOD","doi":null,"url":null,"internal_url":null},{"position":22,"raw":"[Tong et al., 2018b] Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Lei Chen, Jieping Ye, and Ke Xu. A unified ap- proach to route planning for shared mobility. PVLDB, 11(11):1633-1646, 2018.","title":"A unified approach to route planning for shared mobility","authors":"Tong","year":"2018","venue":"PVLDB","doi":null,"url":null,"internal_url":null},{"position":23,"raw":"[Tran et al., 2018] Luan Tran, Hien To, Liyue Fan, and Cyrus Shahabi. A real-time framework for task as- signment in hyperlocal spatial crowdsourcing. TIST, 9(3):37:1-37:26, 2018.","title":"A real-time framework for task assignment in hyperlocal spatial crowdsourcing","authors":"Luan Tran, Hien To, Liyue Fan, Cyrus Shahabi","year":"2018","venue":"TIST","doi":null,"url":null,"internal_url":null},{"position":24,"raw":"[Xia et al., 2019] Jinfu Xia, Yan Zhao, Guanfeng Liu, Jia- jie Xu, Min Zhang, and Kai Zheng. Profit-driven task as- signment in spatial crowdsourcing. In IJCAI, pages 1914- 1920, 2019.","title":"Profit-driven task assignment in spatial crowdsourcing","authors":"Jinfu Xia, Yan Zhao, Guanfeng Liu, Jiajie Xu, Min Zhang, Kai Zheng","year":"2019","venue":"IJCAI","doi":null,"url":null,"internal_url":"/proceedings/2019/265"},{"position":25,"raw":"[Zhao et al., 2019a] Boming Zhao, Pan Xu, Yexuan Shi, Y- ongxin Tong, Zimu Zhou, and Yuxiang Zeng. Preference- aware task assignment in on-demand taxi dispatching: An online stable matching approach. In AAAI, pages 2245- 2252, 2019.","title":"Preferenceaware task assignment in on-demand taxi dispatching: An online stable matching approach","authors":"Zhao","year":"2019","venue":"AAAI","doi":null,"url":null,"internal_url":null},{"position":26,"raw":"[Zhao et al., 2019b] Yan Zhao, Jinfu Xia, Guanfeng Li- u, Han Su, Defu Lian, Shuo Shang, and Kai Zheng. Preference-aware task assignment in spatial crowdsourc- ing. In AAAI, pages 2629-2636, 2019.","title":"Preference-aware task assignment in spatial crowdsourcing","authors":"Zhao","year":"2019","venue":"AAAI","doi":null,"url":null,"internal_url":null}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}