Stanford University - Introduction to Computational Advertising
September-December, 2011 - Stanford University, California Contents Course Information Course Schedule Lecture Handouts Readings Assignments Project Instructor Bios Related Courses Acknowledgement Course Information Overview Computational advertising is an emerging new scientific sub-discipline, at the intersection of large scale search and text analysis, information retrieval, statistical modelin
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WSDM 2012 WSDM (pronounced "wisdom") is the premier international ACM conference covering research in the areas of search and data mining on the Web. The Fifth ACM WSDM Conference will take place in Seattle, Washington, USA during February 8-12, 2012. WSDM publishes original, high quality papers and presentations related to search and data mining on the Web and the Social Web, with an emphasis on
Songle
Songle is a web service for active music listening that facilitates a deeper understanding of music and enriches your music listening experience. Songle utilizes music-understanding technologies that automatically estimate music scene descriptions and enable visualization of elements such as structural segments, hierarchical beat structure, melody line, and chords. All users accessing the Songle s
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The world's largest social music platform. Show off your taste, see what your friends are listening to, hear new music, get personal radio, recommendations, and downloads, all for free.Welcome to Last.fm's playground! Here you can try out some of the projects we are working on and let us know what you think.
Last.fm – the Blog · Slow or fast? Please lend us your ears!
We need your help. For several years scientists have been trying to extract meaningful information about music directly from the audio data in a track. Encouraged by successes in automatic speech recognition, for a while researchers hoped that it would be fairly easy for a computer to analyze an audio track and transcribe it directly to sheet music notation, recognising instruments, voices, and al
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Gmail優先トレイ論文メモ - kisa12012ã®æ—¥è¨˜
元論文 “The Learning Behind Gmail Priority Inboxâ€, Douglas Aberdeen, Ondrey Pacovsky, Andrew Slater, LCCC : NIPS 2010 Workshop on Learning on Cores, Clusters and Clouds. http://research.google.com/pubs/archive/36955.pdf Gmail Priority Inboxã«ã¯PAãŒåˆ©ç”¨ã•ã‚Œã¦ã„ã‚‹ã¨è©±é¡Œã«ãªã£ã¦ã„ã‚‹ã®ã§ï¼Œèªã‚“ã§ã¿ã¾ã—ãŸï¼Ž ç°¡å˜ã«ã¾ã¨ã‚ PA + transfer learning + logistic model ランã‚ングå¦ç¿’ã§ã¯ï¼ŒthresholdãŒéžå¸¸ã«é‡è¦ãªåƒãã‚’æŒã¤ Gmail Priority Inboxã¯ã‚ãªãŸã®ãƒ¡ãƒ¼ãƒ«å‡¦ç†ã®æ™‚é–“ã‚’6%çŸç¸®ã—ã¦ãã‚Œã¾ã™ 1.The
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年末年始ã€ã¨ã‚る調査ã®éŽç¨‹ã§ç§ã®ã‚¢ãƒ³ãƒ†ãƒŠã«å¼•ã£æŽ›ã‹ã£ãŸ Mendeley。 Mendeley ã¨ã¯ã€ã€ Mendeleyã¯ã‚¢ã‚«ãƒ‡ãƒŸãƒƒã‚¯åˆ†é‡Žã§èª¿æŸ»è«–æ–‡ã®å…±æœ‰ç®¡ç†ã‚’è¡Œã£ãŸã‚Šã€ã¾ãŸåŒæ™‚ã«ãƒ¬ã‚³ãƒ¡ãƒ³ãƒ‡ãƒ¼ã‚·ãƒ§ãƒ³ã‚„マッãƒãƒ³ã‚°ã®ãŸã‚ã®ãƒ—ãƒã‚°ãƒ©ãƒ を利用ã—ã¦åŒã˜åˆ†é‡Žã®ç ”究者や論文をçµã³ã¤ã‘ã‚‹ã“ã¨ã‚’目的ã¨ã—ã¦ãŠã‚Šã€ã‚ãŸã‹ã‚‚ã€Œç ”ç©¶åˆ†é‡Žã®Last.fmã€ã‚’目指ã™ã‚‚ã®ã¨è¨€ãˆã‚‹ã€‚ ç ”ç©¶è«–æ–‡ç®¡ç†ãƒ„ールをæä¾›ã™ã‚‹Mendeleyã€ã‚¢ãƒ¼ãƒªãƒ¼ã‚¹ãƒ†ãƒ¼ã‚¸ã§$2Mã®è³‡é‡‘ã‚’èª¿é” ã‚¢ãƒ¼ãƒ†ã‚£ã‚¹ãƒˆã‚’ç ”ç©¶è€…ã€æ¥½æ›²ã‚’ç ”ç©¶è«–æ–‡ã€ã‚¸ãƒ£ãƒ³ãƒ«ã‚’ç ”ç©¶åˆ†é‡Žã«è¦‹ç«‹ã¦ã¦ã€è‡ªç§°ã€Œç ”究分野ã®Last.fmã€ã¨è¬³ã† Mendeley ã®ã‚ªãƒªã‚¸ãƒŠãƒ«ãƒ“デオã¯ã“ã¡ã‚‰ã€‚ 声ã®ä¸»ã¯ Mendeley ã® Founder & Director ã§ã‚ã‚‹ Victor Henning。 Mendeley 㯠Victor ã¨ã€åŒã˜ã Founder & Director ã§ã‚ã‚‹ J
kur.jp - データã§ã¿ã‚‹Twitter　ãã®1
kur.jp ãƒã‚¤ã‚ªãƒªãƒ³ã¨è‡ªè»¢è»Šã‚’ã“よãªãæ„›ã™ã‚‹kurã®ãƒãƒ©ã‚·ã®è£ï¼ŽãŸã¾ã«ã¯æŠ€è¡“çš„ãªã“ã¨ã‚’書ã„ãŸã‚Šã™ã‚‹ã‹ã‚‚知れã¾ã›ã‚“． Home About Me Link What is Twitter, a Social Network or a News Media?ã¨ã„ã†ï¼ŒTwitterユーザã¨ã—ã¦ã¯éžå¸¸ã«èˆˆå‘³æ·±ã„è«–æ–‡ãŒã‚ã£ãŸã®ã§ï¼Œç´¹ä»‹ã—ã¦ã¿ã¾ã™ï¼Ž 以下ã®ã™ã¹ã¦ã®å›³ã¯ï¼Œä¸Šè¨˜ã®è«–æ–‡ã‹ã‚‰å¼•ç”¨ã•ã›ã¦é ‚ã„ã¦ã„ã¾ã™ï¼Ž フォãƒãƒ¼æ•°ã¨ãƒ•ã‚©ãƒãƒ¯ãƒ¼æ•°ã®é–¢ä¿‚ Followerã¨Followã®é–¢ä¿‚ã®ã‚°ãƒ©ãƒ•ã§ã™ï¼Žèµ¤ã„ç·šãŒãƒ•ã‚©ãƒãƒ¼ã—ã¦ã„る数，é’ã„ç·šãŒãƒ•ã‚©ãƒãƒ¼ã•ã‚Œã¦ã„ã‚‹æ•°ã§ã™ï¼Žã‚°ãƒ©ãƒ•ã§Y軸ãŒå¤§ãããªã‚‹ã»ã©ï¼Œãƒ¦ãƒ¼ã‚¶ãŒå°‘ãªã„事を表ã—ã¦ã„ã¾ã™ï¼Ž 100万人以上ã®ãƒ•ã‚©ãƒãƒ¯ãƒ¼ãŒå±…ã‚‹ã®ã¯40人程度ã§ï¼Œå½¼ã‚‰ã¯å…¨å“¡æœ‰å人ã‹ãƒžã‚¹ãƒ¡ãƒ‡ã‚£ã‚¢ã§ã™ï¼Žå½¼ã‚‰ã¯ãƒ•ã‚©ãƒãƒ¼ã•ã‚Œã¦ã‚‚，フォãƒãƒ¼ã—è¿”ã™ã“ã¨ã¯ã»ã¨ã‚“ã©ã‚ã‚Šã¾ã›ã‚“．ã“ã®ãŸã‚ã«ï¼Œéžå¯¾ç§°æ€§ãŒç™ºç”Ÿã—ã¦ã„ã‚‹ã‚“ã
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The newest and most up-to-date version (May 2010) this blog post is available at http://mapreducebook.org An updated and extended version of this blog post can be found here. Motivation Learn from academic literature about how the mapreduce parallel model and hadoop implementation is used to solve algorithmic problems. Disclaimer: this is work in progress (look for updates) Input Data – Academic P
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NameBright - Coming Soon
mobvis.org is coming soon This domain is managed at
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Yes, There is a Correlation From Social Networks to Personal Behavior on the Web - 日々ã®å‹‰å¼·ã®èˆªè·¡
Parag Singla and Matthew Richardson Yes, There is a Correlation From Social Networks to Personal Behavior on the Web International World Wide Web Conference 2008 pp.655-664 PDFã®ã‚ã‚‹å ´æ‰€ã¸ã®ãƒªãƒ³ã‚¯ æ¦‚è¦ social networkã¨å€‹äººã®å±žæ€§ã®é–¢ä¿‚を調ã¹ãŸè«–文。 メッセンジャーã‹ã‚‰ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚’構æˆã€‚ 個人ã®å±žæ€§ã¨ã—ã¦ã€æ¤œç´¢ã‚¨ãƒ³ã‚¸ãƒ³ã®ã‚¯ã‚¨ãƒªãƒ¼ãƒã‚°ã€å¹´é½¢ã€æ€§åˆ¥ã€åœ°åŸŸã‚’用ã„ã¦ã„る。 çµæžœ 性別以外ã§éš£äººã¨ã®å±žæ€§ãŒä¼¼ã¦ã„る傾å‘ãŒè¦‹ã‚‰ã‚ŒãŸã€‚性別ã¯é€†ã®çµæžœã€‚ chatã«è²»ã‚„ã—ãŸæ™‚é–“ãŒé•·ã„程ãã®å‚¾å‘ãŒå¼·ã‹ã£ãŸã€‚ å˜ä½ãƒ¡ãƒƒã‚»ãƒ¼ã‚¸ã‚ãŸã‚Šã®æ™‚é–“ãŒé•·ã„程傾å‘ã¯å¼±ããªã£ãŸã€‚ è·é›¢ï¼’ã®éš£äººã§ã‚‚ãã®å‚¾å‘ã¯è¦‹ã‚‰ã‚ŒãŸãŒã€è·é›¢ï¼‘ã®éš£äººã‚ˆã‚Šã¯å¼±ã‹ã£
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「英語論文ã«ä½¿ã†è¡¨ç¾æ–‡ä¾‹é›†ã€ã®ãƒ¬ã‚¸ãƒ¥ãƒ¡ ・ã“ã®ãƒ¬ã‚¸ãƒ¥ãƒ¡ã¯ã€è¿«æ‘純男 & Raeside,J.「英語論文ã«ä½¿ã†è¡¨ ç¾æ–‡ä¾‹é›†ã€ï¼ˆ1996å¹´ã€ãƒŠãƒ„メ社）ã®å†…容をã¾ã¨ã‚ã¦ã€å‚ç…§ã—ã‚„ ã™ã„よã†ã«HTMLå½¢å¼ã§è¡¨ã—ãŸã‚‚ã®ã§ã™ã€‚説明ç‰ã¯çœã„ã¦ã‚ã‚‹ã® ã§ã€è©³ã—ãã¯åŒæ›¸ã‚’å‚ç…§ã—ã¦ä¸‹ã•ã„。 ・必è¦ãªæ–‡ä¾‹ã‚’コピーã™ã‚‹å ´åˆã¯ã€ç¯„囲指定ã—ã¦å転ã—ãŸéƒ¨åˆ†ã« カーソルをã®ã›ãŸã¾ã¾å³ãƒœã‚¿ãƒ³ã‚’クリックã™ã‚‹ã¨ã„ã„ã§ã—ょã†ã€‚ ・転載ç‰ã¯å¾¡é 慮下ã•ã„。 Abstracted by M.KAMEGAYA 1997 １.å‰æ–‡ (a)è«–æ–‡ã®ç›®çš„ The purpose of this study is ... This study provides ... This paper attempts to ... I would like to examine ... ã€ç ”究ã™ã‚‹ã€‘investigate, show, consider,
Behind the Tech: Motion in Adobe Fresco
Behind the Tech: Motion in Adobe Fresco The Motion feature in Adobe Fresco empowers artists and creators to add motion to individual elements in their artwork. We talked to Adobe Research’s Li-Yi Wei and Rubaiat Habib about the “behind the scenes†of this impactful research work. Content Authenticity and Image Fingerprinting John Collomosse, Principal Research Scientist at Adobe Research, draws on
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The Echo Nest
Google at CHI 2011
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Google Code Archive - Long-term storage for Google Code Project Hosting.
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