{"type":"ScholarlyArticle","title":"Hierarchical Graph Traversal for Aggregate k Nearest Neighbors Search in Road Networks (Extended Abstract)","authors":[{"name":"Tenindra Abeywickrama","slug":"tenindra-abeywickrama","given":"Tenindra","family":"Abeywickrama","affiliation":""},{"name":"Muhammad Aamir Cheema","slug":"muhammad-aamir-cheema","given":"Muhammad Aamir","family":"Cheema","affiliation":""},{"name":"Sabine Storandt","slug":"sabine-storandt","given":"Sabine","family":"Storandt","affiliation":""}],"abstract":"A k nearest neighbors (kNN) query finds k closest points-of-interest (POIs) from an agent's location. In this paper, we study a natural extension of the kNN query for multiple agents, namely, the Aggregate k Nearest Neighbors (AkNN) query.  An AkNN query retrieves k POIs with the smallest aggregate distances where the aggregate distance of a POI is obtained by aggregating its distances from the multiple agents (e.g., sum of its distances from each agent). We propose a novel data structure COLT (Compacted Object-Landmark Tree) which enables efficient hierarchical graph traversal and utilize it to efficiently answer AkNN queries. Our experiments on real-world and synthetic data sets show that our techniques outperform existing approaches by more than an order of magnitude in almost all settings.","doi":"10.24963/ijcai.2021/640","url":"https://ijcai.org/proceedings/2021/640","pdf":"https://ijcai.org/proceedings/2021/0640.pdf","markdown":"https://ijcai.org/proceedings/2021/640.md","bibtex":"https://ijcai.org/proceedings/2021/bibtex/640","volume":{"slug":"2021","title":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2021","url":"https://ijcai.org/proceedings/2021/","year":2021,"location":"Montreal","dates":"19-27 August 2021","editors":"Prof. Zhi-Hua Zhou","isbn":"978-0-9992411-9-6","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2021"},"section":"Sister Conferences Best Papers","track":"Sister Conferences Best Papers","number":640,"pages":{"first":4730,"last":4734},"keywords":["Multidisciplinary Topics and Applications: Transportation","Data Mining: Big Data, Large-Scale Systems","Heuristic Search and Game Playing: Heuristic Search"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}