Maximum inner-product search using cone trees
Web19 jun. 2014 · This paper addresses the nearest neighbor search problem under inner product similarity and introduces a compact code-based approach to approximate a vector using the composition of several elements selected from a source dictionary and to represent this vector by a short code composed of the indices of the selected elements. … Web23 nov. 2024 · To speed up the Maximum Inner Product Search (MIPS) on item vectors, we design a shifting-invariant asymmetric transformation and develop a novel sublinear-time Shifting-Aware Asymmetric Locality Sensitive Hashing (SA-ALSH) scheme. Furthermore, we devise a new blocking strategy based on the Cone-Tree to effectively prune user vectors …
Maximum inner-product search using cone trees
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Web7 feb. 2024 · We consider the general problem of maximum inner-product search and present three novel methods to solve this problem efficiently. We use the tree data … http://www.niculescu-mizil.org/KDD2012/docs/p931.pdf
WebGraph Based Maximum Inner Product Search Jie Liu,* Xiao Yan,* Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang The Chinese University of Hong Kong {jliu, xyan, xydai, zrli6, jcheng, mcyang}@cse.cuhk.edu.hk Abstract The inner-product navigable small world graph (ip-NSW) represents the state-of-the-art method for approximate max- Web17 mei 2024 · Maximum Inner-Product Search Using Cone Trees. Contribute to ZexinYan/MIP-Search development by creating an account on GitHub. Skip to …
Web3 dec. 2016 · A novel dimensionality reduction method for maximum inner product search (MIPS), named CEOs, based on the theory of concomitants of extreme order statistics, which shows that a few dimensions associated with the extreme values of the query signature are enough to estimate inner products. 2 PDF View 1 excerpt, cites methods Webpoints with respect to the inner-product similarity. Formally, we consider the following problem: Problem. For a given set of N points S ⊂ RD and a query q ∈ RD, efficiently find a point p ∈ S such that: hq,pi = max r∈S hq,ri. (1) We call this the problem of maximum inner-product search. The focus of this paper is to improve the
Web3 apr. 2024 · Maximum Inner Product Search (MIPS) is an important task in many machine learning applications such as the prediction phase of a low-rank matrix …
WebCone-tree: These cones are open cones and only the angle made at the origin with the axis of the cone is bounded for every point in the cone. The norms of the queries are not … lame is 3.100Web16 mrt. 2024 · The MIPS (maximum inner product search), which finds the item with the highest inner product with a given query user, is an essential problem in the recommendation field. Usually, e-commerce companies face situations where they want to promote and sell new or discounted items. helpdesk singer-featherweight.comWebover tree based methods [21] for MIPS. 1 Introduction In this paper, we revisit the problem of Maximum Inner Product Search (MIPS), which was studied in our recent work [23]. In this work we present the first provably fast algorithm for MIPS, which was considered hard [21, 15]. Given an input query point q ∈ RD, the task of MIPS is to help desk short coursesWeb3 dec. 2016 · Parikshit Ram and Alexander G. Gray. 2012. Maximum inner-product search using cone trees. In KDD. 931--939. Google Scholar Digital Library; Benjamin … helpdesk siroms.comWeb27 feb. 2012 · Recently, a few approaches have sought to accelerate the maximum inner product search (MIPS) operation for inner product based models [21, 31, 35]. … lame in marathiWeb29 mrt. 2015 · Trees on high-dimensional sparse data don't generally work very well, although in this case we are using the cover tree, whose runtime depends instead on a … la mejor all in oneWeb28 feb. 2012 · Maximum inner-product search using cone trees P. Ram, Alexander G. Gray Published 28 February 2012 Computer Science ArXiv The problem of efficiently … help desk slow computer