ScaNN (Scalable Nearest Neighbors) is a method for efficient vector similarity search at scale. This code implements [1, 2], which includes search space pruning and quantization for Maximum Inner Product Search and also supports other distance functions such as Euclidean distance. The implementation is designed for x86 processors with AVX2 support. ScaNN achieves state-of-the-art performance on an
01 Dec 2021 Billion-scale vector search with Vespa - part one Photo by Federico Beccari on Unsplash NASA estimates that the Milky Way galaxy contains between 100 to 400 billion stars. A mind-blowing large number of stars and solar systems, and also a stunning sight from planet earth on a clear night. Many organizations face challenges involving star-sized datasets, even orders of magnitude larger.
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データサイエンティストの中村です。今回はイメージファーストなファッションアイテム検索システムを作ってみたのでそちらの紹介をしたいと思います。 本記事で紹介する技術はIBIS2016でも報告しています。 概要 ファッションアイテムを探すとき、見た目の印象はとても大事な要素です。ファッションは感覚的なものなので、自分が欲しい服について言葉で説明することは難しいですが、そのアイテムの良し悪しは画像を見ただけで判断できるからです。 今回開発した検索システムは見た目の印象を大事にしたいので、画像をクエリとします。ただし、ただの画像検索では面白くないので、色や形状などの属性情報を付加した状態で検索を実行できるようにしました。 例えば、「シルエットは良いんだけど、これの赤いやつが欲しい」のような感覚的な注文を、以下のGIFのように画像に属性を付加する形で拾っています。 よくある検索システムではカテゴリに
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This is the engineering diary for BitFunnel, an experimental open-source information retrieval system. The goal of this site is to explain how BitFunnel works. We will cover the math and science in order to lay down a theoretical foundation, but to understand the algorithm in practice, it helps to see real, working code. For this reason, we have begun a new open source project which is a first att
accessibility 10 advanced 195 AMP 13 Android 2 API 7 apps 7 autocomplete 2 beginner 173 CAPTCHA 1 Chrome 2 cms 1 crawling and indexing 158 encryption 3 events 51 feedback and communication 83 forums 5 general tips 90 geotargeting 1 Google Assistant 3 Google I/O 3 Google Images 3 Google News 2 hacked sites 12 hangout 2 hreflang 3 https 5 images 12 intermediate 205 interstitials 1 javascript 8 job s
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Compute expert-level answers using Wolfram’s breakthrough algorithms, knowledgebase and AI technology Mathematics ›Step-by-Step SolutionsElementary MathAlgebraPlotting & GraphicsCalculus & AnalysisGeometryDifferential EquationsStatisticsMore Topics »Science & Technology ›Units & MeasuresPhysicsChemistryEngineeringComputational SciencesEarth SciencesMaterialsTransportationMore Topics »Society & Cul
Computer Science Department, Stanford University, Stanford, CA 94305 In this paper, we present Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext. Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems. The prototype with a full text and hyperlink database of at leas
Oktavia 1.0 is in progress Now Oktavia 1.0 is in progress now: If Uint32Array and/or WebWorker are available, Oktavia 1.0 use them. New code base is made of about 10 npm modules. Each modules are small and tested on travis.ci. Python version is under constructing. Performance tuning. Fix some bugs and API become cleaner (because of __export__ keyword of JSX). 1.0 engine core is stable already. Thi
1. 2011/12/1 ALSIP2011@Takamatsu Succinct Data Structure for Analyzing Document Collection Preferred Infrastructure Inc. Daisuke Okanohara hillbig@preferred.jp 2. Agenda Succinct Data Structures (20 min.) Succinct data Full-text Rank/Select, Wavelet Tree Structures Index Full-text Index (30 min.) Suffix Array/Tree, BWT Compressed Full- text Index Compressed Full-Text Index (20 min.) FM
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