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searchã«é–¢ã™ã‚‹y_uukiã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (9)

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ã‚¤ãƒ³ã‚¿ãƒ“ãƒ¥ãƒ¼: è¶…é«˜é€Ÿãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ æ¤œç´¢APIã‚µãƒ¼ãƒ“ã‚¹ã€ŒAlgoliaã€ã®ä½œè€…ãŒèªžã‚‹é«˜é€ŸåŒ–ã®ç§˜è¨£ï¼ˆç¿»è¨³ï¼‰ï½œTechRacho by BPSæ ªå¼ä¼šç¤¾
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y_uuki 2018/07/21
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algolia
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Two ways of using Redis to build a NoSQL autocomplete search index - Pat Shaughnessy
Consider a NoSQL solution such as Redis the next time you need to implement search... Last week I demonstrated how to setup autocomplete in a new Rails 3.1 app using the Soulmate gem, from SeatGeek. Soulmate uses Redis to cache all of the autocomplete phrases in memory, providing lightning fast query results. While autocomplete is a very useful feature and a common web site design element, what re
y_uuki 2018/05/05
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redis

search
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Bingæ¤œç´¢ã®è£å´â€•BitFunnelã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ - Hatena Developer Blog
ã¯ã¦ãªã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã® id:takuya-a ã§ã™ã€‚ ã“ã®è¨˜äº‹ã§ã¯ã€Microsoft ã®æ¤œç´¢ã‚¨ãƒ³ã‚¸ãƒ³ Bing ã§æŽ¡ç”¨ã•ã‚ŒãŸ BitFunnel ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚’ç´¹ä»‹ã—ã¾ã™ã€‚ æ˜¨å¹´ã®ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã‚¢ãƒ‰ãƒ™ãƒ³ãƒˆã‚«ãƒ¬ãƒ³ãƒ€ãƒ¼ã§ã¯ã€æ–‡å—åˆ—æ¤œç´¢ã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ å…¨èˆ¬ã«ã¤ã„ã¦ç´¹ä»‹ã—ã¾ã—ãŸï¼ˆæ–‡å—åˆ—ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®å¦ã³ã‹ãŸ - Hatena Developer Blogï¼‰ã€‚ä»Šå¹´ã¯ãã®ãªã‹ã§ã‚‚ã€ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ï¼ˆç´¢å¼•ï¼‰ã‚’ä½¿ã£ãŸå…¨æ–‡æ¤œç´¢ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã«ã¤ã„ã¦ã®ãŠè©±ã«ãªã‚Šã¾ã™ã€‚ ã“ã®è¨˜äº‹ã®å‰åŠã¯å…¨æ–‡æ¤œç´¢ã®å…¥é–€ã«ã‚‚ãªã£ã¦ã„ã¾ã™ã®ã§ã€æ¤œç´¢æŠ€è¡“ã«ãªã˜ã¿ãŒãªã„æ–¹ã«ã‚‚æ¥½ã—ã‚“ã§ã„ãŸã ã‘ã‚‹ã®ã§ã¯ãªã„ã§ã—ã‚‡ã†ã‹ã€‚ é€†ã«ã€ã€Œãã‚“ãªã®ã‚‚ã†çŸ¥ã£ã¦ã‚‹ã‚ˆï¼ã€ã¨ã„ã†æ–¹ã¯ã€æœ¬é¡Œã§ã‚ã‚‹ã€ŒBitFunnel ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®è©³ç´°ã€ã‹ã‚‰ç›®ã‚’é€šã—ã¦ã„ãŸã ã‘ã‚Œã°ã¨æ€ã„ã¾ã™ã€‚ ã“ã®è¨˜äº‹ã¯ã€ã¯ã¦ãª ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ Advent Calendar 2017ã®21æ—¥ç›®ã®
y_uuki 2017/12/22
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paper
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[1712.01208] The Case for Learned Index Structures
Indexes are models: a B-Tree-Index can be seen as a model to map a key to the position of a record within a sorted array, a Hash-Index as a model to map a key to a position of a record within an unsorted array, and a Bit Map-Index as a model to indicate if a data record exists or not. In this exploratory research paper, we start from this premise and posit that all existing index structures can be
y_uuki 2017/12/12
paper

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machinelearning
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AI search that understands
Motivating workout tunes Best headphones gift Wooden bridge hike near me Top goal scorer in womenâ€™s cup SKU 14290, 27381, 98063 /files/live/sites/algolia-assets/files/algolia-home/banner-animation/tunes-1.png /files/live/sites/algolia-assets/files/algolia-home/banner-animation/tunes-2.png /files/live/sites/algolia-assets/files/algolia-home/banner-animation/tunes-3.png /files/live/sites/algolia-ass
y_uuki 2017/11/24
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SuperRoot: Launching a High-SLA Production Service at Twitter
y_uuki 2016/07/26
twitter

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Introduction to Information Retrieval
This is the companion website for the following book. Christopher D. Manning, Prabhakar Raghavan and Hinrich SchÃ¼tze, Introduction to Information Retrieval, Cambridge University Press. 2008. You can order this book at CUP, at your local bookstore or on the internet. The best search term to use is the ISBN: 0521865719. The book aims to provide a modern approach to information retrieval from a compu
y_uuki 2016/03/28
book

search
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Search Architecture
Instagram is in the fortunate position to be a small company within the infrastructure of a much larger one. When it makes sense, we leverage resources to leapfrog into experiences that have taken Facebook ten years to build. Facebook's search infrastructure, Unicorn, is a social-graph-aware search engine that has scaled to indexes containing trillions of documents. In early 2015, Instagram migrat
y_uuki 2016/01/05
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architecture
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y_uuki 2015/04/30
algorithm

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