{"type":"ScholarlyArticle","title":"Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search (Extended Abstract)","authors":[{"name":"Stephan S. Lorenzen","slug":"stephan-s-lorenzen","given":"Stephan S.","family":"Lorenzen","affiliation":""},{"name":"Ninh Pham","slug":"ninh-pham","given":"Ninh","family":"Pham","affiliation":""}],"abstract":"Top-k maximum inner product search (MIPS) is a central task in many machine learning applications. This work extends top-k MIPS with a budgeted setting, that asks for the best approximate top-k MIPS given a limited budget of computational operations. We study recent advanced sampling methods, including wedge and diamond sampling, to solve budgeted top-k MIPS. First, we theoretically show that diamond sampling is essentially a combination of wedge sampling and basic sampling for top-k MIPS. Second, we propose dWedge, a simple deterministic variant of wedge sampling for budgeted top-k MIPS. Empirically, dWedge provides significantly higher accuracy than other budgeted top-k MIPS solvers while maintaining a similar speedup.","doi":"10.24963/ijcai.2021/652","url":"https://ijcai.org/proceedings/2021/652","pdf":"https://ijcai.org/proceedings/2021/0652.pdf","markdown":"https://ijcai.org/proceedings/2021/652.md","bibtex":"https://ijcai.org/proceedings/2021/bibtex/652","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":652,"pages":{"first":4789,"last":4793},"keywords":["Data Mining: Recommender Systems","Data Mining: Information Retrieval"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}