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Field-awareãªFactorization Machinesã®æœ€æ–°å‹•å‘(2019) - Qiita
ã¯ã˜ã‚ã« ã“ã‚“ã«ã¡ã¯ã€‚ããã‚Šã‚‰(guglilac)ã§ã™ã€‚ ä»Šå›žã¯æœ€è¿‘èˆˆå‘³ã‚’æŒã£ã¦èª¿ã¹ã¦ã„ã‚‹Field-awareãªFactorization Machinesã®è¿‘å¹´ã®å‹•å‘ã‚’ã¾ã¨ã‚ã¦ã¿ã‚ˆã†ã¨æ€ã„ã¾ã™ã€‚ Factorization MachinesãŒææ¡ˆã•ã‚ŒãŸ2010å¹´ã‹ã‚‰ã€Factorization Machinesé–¢é€£ã®ç ”ç©¶ã¯ã„ãã¤ã‹ã®æ–¹å‘ã«é€²ã‚“ã§ãã¾ã—ãŸã€‚ ä¾‹ãˆã°ã€Factorization Machinesã‚’Deep Learningã¨çµ„ã¿åˆã‚ã›ãŸç ”ç©¶ã¯ãã®ä¸»æµã®ä¸€ã¤ã§ã€xDeepFM [Lian+, KDD2018]ã¾ã§ã®æµã‚ŒãŒä»¥ä¸‹ã®è¨˜äº‹ã§ã¾ã¨ã‚ã‚‰ã‚Œã¦ã„ã¾ã™ã€‚ DeepãªFactorization Machinesã®æœ€æ–°å‹•å‘ (2018) ä»Šå›žç´¹ä»‹ã™ã‚‹Fieldã¨ã„ã†æ¦‚å¿µã«é–¢ã‚ã‚‹Factorization Machinesã¯ã€Deep + Factorization Machines
muddydixon 2026/04/15
factorizationmachine

prediction

analysis
ãƒªãƒ³ã‚¯
https://iryomirai.com/
muddydixon 2025/12/18
medical

ai
ãƒªãƒ³ã‚¯
Fogg Behavior Model - The Decision Lab
muddydixon 2025/11/09
model

framework

motivation

webdesign

management

behavior

psychological
ãƒªãƒ³ã‚¯
The COM-B Model for Behavior Change - The Decision Lab
muddydixon 2025/11/09
model

framework

motivation

webdesign

management

behavior

psychological
ãƒªãƒ³ã‚¯
Deceptive Patterns (aka Dark Patterns) - spreading awareness since 2010
Deceptive patterns (also known as â€œdark patternsâ€) are tricks used in websites and apps that make you do things that you didn't mean to, like buying or signing up for something. For example:
muddydixon 2025/10/16
design

interface

ui

navigation

webdesign
ãƒªãƒ³ã‚¯
SankeyArt
muddydixon 2025/10/12
visualization

chart

sankey
ãƒªãƒ³ã‚¯
CRISP METRICS ðŸ¥—
Looker Studio turns your data into informative dashboards and reports that are easy to read, easy to share, and fully customizable.
muddydixon 2025/10/06
visualization

report

dashboard
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ã¿ã‚‰ã„ ã¾ã‚‹è¦‹ãˆæ”¿æ²»è³‡é‡‘ - ãƒãƒ¼ãƒ ã¿ã‚‰ã„ã®æ”¿æ²»è³‡é‡‘ã‚’ã‚ªãƒ¼ãƒ—ãƒ³ã«
ãƒãƒ¼ãƒ ã¿ã‚‰ã„ã«é–¢ã‚ã‚‹æ”¿æ²»è³‡é‡‘ã®æµã‚Œã¯ã€ã¾ã‚‹ã”ã¨ã“ã“ã«åæ˜ ã•ã‚Œã¦ã„ã¾ã™ã€‚ ç§ãŸã¡ãŒãªãœã“ã“ã¾ã§ã‚ªãƒ¼ãƒ—ãƒ³ã«ã™ã‚‹ã®ã‹ã€ãã®ç†ç”±ã¯ã“ã¡ã‚‰ã®noteã‚’ãŠèªã¿ãã ã•ã„ã€‚
muddydixon 2025/10/06
visualization

money

dashboard

government
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dmarcian - SPF Survey
Click on nodes to expand. Expand all Collapse all mechanisms modifiers Net block Occurrences Domain Record DNS lookups needed to validate the record This SPF record exceeds the maximum of 10 DNS lookups. Often, unnecessary entries can be safely removed after evaluating DMARC data. To learn how to address the "Too many lookups" issue, read our guide here: This record has a high lookup count. Review
muddydixon 2025/08/19
dns

mail

security

domain
ãƒªãƒ³ã‚¯
Examples - React Three Fiber
A few examples that demonstrate what you can do with React Three Fiber
muddydixon 2025/08/18
3d

javascript

sample
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ãƒ¢ãƒ€ãƒ³ãƒãƒ§ã‚ãƒãƒ§ã‚ã‚ºã²ã•ã³ã•ã®ãƒ¯ãƒ³ãƒžãƒ³ã§è¦³å®¢å·»ãè¾¼ã¿å¤§é¨’ãŽã€æœ€å¾Œã¯ã—ã¿ã˜ã¿ï¼ˆãƒ©ã‚¤ãƒ–ãƒ¬ãƒãƒ¼ãƒˆ / å†™çœŸ15æžšï¼‰ - éŸ³æ¥½ãƒŠã‚¿ãƒªãƒ¼
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muddydixon 2025/07/27
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muddydixon 2025/04/08
ã™ã°ã‚‰ã—

management

motivation

team
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ã„ã‚ã‚“ãªãƒãƒ³ãƒ‡ã‚£ãƒƒãƒˆã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚’ç†è§£ã—ã‚ˆã† - Qiita
ä»Šå›žã¯ã€ä½•ã‚‚çŸ¥ã‚‰ãªã„ã¨ã“ã‚ã‹ã‚‰ãƒãƒ³ãƒ‡ã‚£ãƒƒãƒˆã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚’å¦ã³ã¾ã—ãŸã€‚ ã‚·ãƒ³ãƒ—ãƒ«ãªãƒãƒ³ãƒ‡ã‚£ãƒƒãƒˆã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‹ã‚‰ã€å„ãƒ¦ãƒ¼ã‚¶ãƒ¼ã”ã¨ã«æœ€é©åŒ–ã™ã‚‹Contextual Banditã€é †åºã‚’æœ€é©åŒ–ã™ã‚‹Cascading Banditã¾ã§è§£èª¬ã—ã¾ã™ã€‚ å¦ã‚“ã§ã„ã¦ç–‘å•ã«æ€ã£ãŸã“ã¨ã‚’è§£æ¶ˆã—ã¤ã¤è¨˜è¼‰ã—ã¦ã„ã¾ã™ã€‚ ã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ https://github.com/birdwatcherYT/bandit å¯¾è±¡èªè€… ãƒãƒ³ãƒ‡ã‚£ãƒƒãƒˆã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚’ç†è§£ã—ã¦å®Ÿè£…ã—ãŸã„äºº ãƒ¦ãƒ¼ã‚¶ãƒ¼ã”ã¨ã«ã‚«ã‚¹ã‚¿ãƒžã‚¤ã‚ºã—ãŸãƒãƒ³ãƒ‡ã‚£ãƒƒãƒˆã‚’ç†è§£ã—ã¦å®Ÿè£…ã—ãŸã„äººï¼ˆContextual Banditï¼‰ é †åºã‚’æœ€é©åŒ–ã™ã‚‹ãƒãƒ³ãƒ‡ã‚£ãƒƒãƒˆã‚’ä½¿ã„ãŸã„äººï¼ˆCascading Banditï¼‰ ãƒãƒ³ãƒ‡ã‚£ãƒƒãƒˆã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãƒãƒ³ãƒ‡ã‚£ãƒƒãƒˆã®å•é¡Œè¨å®šã‚’èª¬æ˜Žã—ã¾ã™ã€‚ ã‚¹ãƒãƒƒãƒˆãƒžã‚·ãƒ³Nå°ãŒã‚ã‚‹ ã‚¹ãƒãƒƒãƒˆãƒžã‚·ãƒ³ã®è…•ã‚’å¼•ãã¨å ±é…¬ãŒã‚‚ã‚‰ãˆã‚‹ ç´¯ç©å ±é…¬ã‚’æœ€å¤§åŒ–ã—ãŸã„ ãƒãƒ³ãƒ‡ã‚£ãƒƒãƒˆã‚¢ãƒ«
muddydixon 2025/04/07
bandit

context

algorithms

recommendation
ãƒªãƒ³ã‚¯
Netflixã‚‚ä½¿ã£ã¦ã„ã‚‹ï¼Contextual Banditã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚’å¾¹åº•è§£èª¬ï¼ï¼ˆPart 1ï¼‰ - Qiita
ã¯ã˜ã‚ã« å…ˆæ—¥, Twitterã§Artwork Personalization at Netflixã¨ã„ã†è¨˜äº‹ãŒè©±é¡Œã«ãªã£ã¦ã„ã¾ã—ãŸ. å®Ÿã¯, ã“ã®è¨˜äº‹ãŒå…ƒã«ãªã£ãŸã‚»ãƒƒã‚·ãƒ§ãƒ³ã‚‚Recsys18ã¨ã„ã†æŽ¨è–¦ã‚·ã‚¹ãƒ†ãƒ ã«ãŠã„ã¦ä¸–ç•Œæœ€å¤§ã®å›½éš›ä¼šè°ã§å‚¬ã•ã‚Œã¦ã„ãŸã‚ˆã†ã§ã™ï¼ˆè³‡æ–™ï¼‰. ã“ã®è¨˜äº‹ã®ä¸»é¡Œã¯, NetflixãŒé…ä¿¡ã—ã¦ã„ã‚‹ã‚³ãƒ³ãƒ†ãƒ³ãƒ„ã®Artworkï¼ˆã„ã‚ã‚†ã‚‹ã‚µãƒ ãƒï¼‰ã‚’ãƒ¦ãƒ¼ã‚¶ãƒ¼ã”ã¨ã«æœ€é©åŒ–ã™ã‚‹ã“ã¨ã§, ã‚ˆã‚Šè‰¯ã„ãƒ¦ãƒ¼ã‚¶ãƒ¼ä½“é¨“ã‚’å±Šã‘ãŸã„ã¨ã„ã†ã‚‚ã®ã§ã™. ä»¥ä¸‹ã®ç”»åƒã®ã‚ˆã†ã«ä¸€ã¤ã®ä½œå“ã‚’ã¨ã£ã¦ã‚‚ãŸãã•ã‚“ã®Artworkã®å€™è£œãŒè€ƒãˆã‚‰ã‚Œã¾ã™. ãã®ä½œå“ã®ä¸ã§ã©ã®å ´é¢ã‚’åˆ‡ã‚Šå–ã‚‹ã‹ã«ã‚ˆã£ã¦, å€‹ã€…ãŒãã®ä½œå“ã«èˆˆå‘³ã‚’æŠ±ãåº¦åˆã„ã¯å¤‰ã‚ã£ã¦ãã‚‹ã¨æ€ã‚ã‚Œã¾ã™. ãƒãƒžãƒ³ã‚¹ãŒå¥½ããªäººã«ã¯ã‚«ãƒƒãƒ—ãƒ«ãŒæ˜ ã‚‹ã‚·ãƒ¼ãƒ³ã‚’, ã‚³ãƒ¡ãƒ‡ã‚£ãŒå¥½ããªäººã«ã¯æœ‰åãªã‚³ãƒ¡ãƒ‡ã‚£ã‚¢ãƒ³ãŒæ˜ ã‚‹ã‚·ãƒ¼ãƒ³ã‚’ç”¨ã„ãŸArtworkãŒã„ã„ã‚“ã˜ã‚ƒãªã„ã‹ã¿ãŸã„ãªã“ã¨ã§ã™ï¼ˆ
muddydixon 2025/04/04
bandit

algorithms

recommendation
ãƒªãƒ³ã‚¯
Artwork Personalization at Netflix
By Ashok Chandrashekar, Fernando Amat, Justin Basilico and Tony Jebara For many years, the main goal of the Netflix personalized recommendation system has been to get the right titles in front each of our members at the right time. With a catalog spanning thousands of titles and a diverse member base spanning over a hundred million accounts, recommending the titles that are just right for each mem
muddydixon 2025/04/04
bandit

algorithms

netflix

recommendation

abtest
ãƒªãƒ³ã‚¯
Technology Radar | Guide to technology landscape
Thoughtworks Techno logy Radar is a twice-yearly snapshot of tools, techniques, platforms, languages and frameworks. This knowledge-sharing tool is based on our global teamsâ€™ experience and highlights things you may want to explore on your projects.
muddydixon 2025/04/04
technology

search

knowledge

report

development
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Hurl - Run and Test HTTP Requests
Whatâ€™s Hurl? Hurl is a command line tool that runs HTTP requests defined in a simple plain text format. It can chain requests, capture values and evaluate queries on headers and body response. Hurl is very versatile: it can be used for both fetching data and testing HTTP sessions. Hurl makes it easy to work with HTML content, REST / SOAP / GraphQL APIs, or any other XML / JSON based APIs. # Go hom
muddydixon 2025/04/04
test

curl

api

http
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ç”Ÿå˜æ™‚é–“åˆ†æžã®åŸºç¤Žï¼”ï¼ˆCox æ¯”ä¾‹ãƒã‚¶ãƒ¼ãƒ‰ãƒ¢ãƒ‡ãƒ«ï¼‰ï½œMaxwell
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muddydixon 2025/02/24
survivalanalysis

coxregression

analytics
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muddydixon 2025/02/17
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