Nara - Your Personalized Web 3.0
Welcome to Nara. Starting with restaurant recommendations, we're here to make the web more personal. Because we think the web should be less about search, and more about the find. ABC Kitchen New York City How does Nara help you Find? Watch the video to find out! Beauty and Essex New York City How does Nara help you Find? Watch the video to find out! La Condesa Austin How does Nara help you Find?
推薦システム勉強会ã§ä½¿ç”¨ã—ãŸæ–‡çŒ®
ã‚’ã€ã¾ã¨ã‚ã¦ãŠã。 第1回 推薦システムã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ 神嶌æ•å¼˜, 人工知能å¦ä¼šèªŒ, Vol. 22, No. 6, pp. 826-837, 2007. 人工知能å¦ä¼šèªŒ, Vol. 23, No. 1, pp. 89-103, 2008. 人工知能å¦ä¼šèªŒ, Vol. 23, No. 2, pp. 248-263, 2008. ã“ã®åˆ†é‡Žã§ã¯ãŠé¦´æŸ“ã¿ã®ã‚µãƒ¼ãƒ™ã‚¤è«–文。基本ã‹ã‚‰å¹…広ã知è˜ã‚’ç¿’å¾—ã§ãる。3回ã«ã‚ãŸã£ã¦äººå·¥çŸ¥èƒ½å¦ä¼šèªŒã«æŽ²è¼‰ã•ã‚ŒãŸãŒã€ä»Šã¯è‘—者ã«ã‚ˆã‚Šã¾ã¨ã‚られãŸã‚‚ã®ãŒWeb上ã«å…¬é–‹ã•ã‚Œã¦ã„る。 第2-3回 Evaluating collaborative filtering recommender systems J. L. Herlocker, et al., ACM Transactions on Information Systems, Vol. 22, No. 1, pp. 5-
Data Catalog Vocabulary (DCAT) - Version 2
Data Catalog Vocabulary (DCAT) - Version 2 W3C Recommendation 04 February 2020 superseded 22 August 2024 This version: https://www.w3.org/TR/2024/SPSD-vocab-dcat-2-20240822/ Latest published version: https://www.w3.org/TR/vocab-dcat-2/ Implementation report: https://w3c.github.io/dxwg/dcat-implementation-report/ Previous version:https://www.w3.org/TR/2020/REC-vocab-dcat-2-20200204/ Previous Recomm
JSON-LD is a W3C Recommendation
The RDF Working Group has published two Recommendations today: JSON-LD 1.0. JSON is a useful data serialization and messaging format. This specification defines JSON-LD, a JSON-based format to serialize Linked Data. The syntax is designed to easily integrate into deployed systems that already use JSON, and provides a smooth upgrade path from JSON to JSON-LD. It is primarily intended to be a way to
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ã€ç”»åƒã‚り】割ã¨æœ¬æ°—ã ã—ã¦AV女優分類ã—ãŸã‚“ã ãŒãƒ»ãƒ»ãƒ» Tweet 1：以下ã€åç„¡ã—ã«ã‹ã‚ã‚Šã¾ã—ã¦VIPãŒãŠé€ã‚Šã—ã¾ã™ï¼š2013/03/23(土) 01:07:40.07 ID:E/m6OQFi0 ã©ã®ç¨‹åº¦ã‚ã£ã¦ã‚‹ã®ã‹å…¨ãã‚ã‹ã‚‰ãªã„ エãƒã„人評価ｵﾅｼｬｽ 分類図（人気女優353人ã®ã¿ï¼‰ å„クラスã®å¥³å„ªä¸€è¦§ クラス１ クラス２ http://imgur.com/hXiWC8N クラス３ クラス４ クラス５ クラス６ クラス８ クラス９ ã‚¯ãƒ©ã‚¹ï¼‘ï¼ 3：以下ã€åç„¡ã—ã«ã‹ã‚ã‚Šã¾ã—ã¦VIPãŒãŠé€ã‚Šã—ã¾ã™ï¼š2013/03/23(土) 01:08:35.88 ID:N7sGT2dT0 ã©ã†ã„ã†åˆ†ã‘æ–¹ 4：以下ã€åç„¡ã—ã«ã‹ã‚ã‚Šã¾ã—ã¦VIPãŒãŠé€ã‚Šã—ã¾ã™ï¼š2013/03/23(土) 01:09:06.29 ID:E/m6OQFi0 >>3 ・DMMã®AV女優åé‘‘ã‹ã‚‰7092人ã®ç”»åƒã‚’åŽé›† ・画åƒã‚’ゴニョ
The RDF Data Cube Vocabulary
The RDF Data Cube Vocabulary W3C Recommendation 16 January 2014 This version: http://www.w3.org/TR/2014/REC-vocab-data-cube-20140116/ Latest published version: http://www.w3.org/TR/vocab-data-cube/ Implementation report: http://www.w3.org/2011/gld/wiki/Data_Cube_Implementations Previous version: http://www.w3.org/TR/2013/PR-vocab-data-cube-20131217/ Editors: Richard Cyganiak, DERI, NUI Galway Dave
The Organization Ontology
The Organization Ontology W3C Recommendation 16 January 2014 This version: http://www.w3.org/TR/2014/REC-vocab-org-20140116/ Latest published version: http://www.w3.org/TR/vocab-org/ Implementation report: http://www.w3.org/2011/gld/wiki/ORG_Implementations Previous version: http://www.w3.org/TR/2013/PR-vocab-org-20131217/ Editor: Dave Reynolds, Epimorphics Ltd. Please refer to the errata, a list
ニコニコ動画ランã‚ング早見表-人気タグランã‚ング
週間人気タグランã‚ング  2019-06-01 ã‹ã‚‰ 2019-06-08 page: 0, 100, 200, 300, 400, 500, 600, 700, 800, 900, ä½ ç¬¬1ä½ (+1) VOICEROID実æ³ãƒ—レイ ランã‚ãƒ³ã‚°ç™»å ´æ—¥æ•°:7, 一日平å‡ãƒã‚¤ãƒ³ãƒˆ:1,109,076 (+205,555) pts ã“ã®ã‚¿ã‚°ã‚’å«ã‚€ãƒ©ãƒ³ã‚ング入り動画数: 357 ç™»å ´å›žæ•°:196 permalink 726001
A Graph-Based Movie Recommender Engine | Marko A. Rodriguez
A recommender engine helps a user find novel and interesting items within a pool of resources. There are numerous types of recommendation algorithms and a graph can serve as a general-purpose substrate for evaluating such algorithms. This post will demonstrate how to build a graph-based movie recommender engine using the publicly available MovieLens dataset, the graph database Neo4j, and the graph
Is it time to retire the 5-star rating system? – Old GigaOm
Thanks to the rating systems in place on such popular websites as Netflix (s NFLX), Amazon (s AMZN) and eBay (s EBAY), many people have become comfortable evaluating things in absolute terms: a two-star restaurant, a B movie and so on. But new research out of the Massachusetts Institute of Technology says that this approach to ranking things is fundamentally flawed. Recommendation systems should i
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å°å· 明彦, 阪井 èª : ãƒã‚±ãƒƒãƒˆé§†å‹•é–‹ç™º 日本ã®ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢é–‹ç™ºã®ç¾å ´ã§ç”Ÿã¿å‡ºã•ã‚ŒãŸã€Œãƒã‚±ãƒƒãƒˆé§†å‹•é–‹ç™ºã€ã¨ã„ã†æ¦‚念をã€æ•°å¤šãã®å®Ÿä¾‹ã‚’å…ƒã«ãƒ¢ãƒ‡ãƒ«åŒ–・体系化を試ã¿ãŸæœ€åˆã®æœ¬ã€‚ å°å· 明彦, 阪井 èª : Redmineã«ã‚ˆã‚‹ã‚¿ã‚¹ã‚¯ãƒžãƒã‚¸ãƒ¡ãƒ³ãƒˆå®Ÿè·µæŠ€æ³• Redmineã«ã‚ˆã‚‹ãƒã‚±ãƒƒãƒˆé§†å‹•é–‹ç™ºã®å®Ÿè·µæŠ€æ³•ã«é–¢ã™ã‚‹æœ€åˆã®æœ¬ã€‚アジャイルãªã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢é–‹ç™ºã¸ã®é©ç”¨æ–¹æ³•ã€TestLinkã«ã‚ˆã‚‹ãƒ†ã‚¹ãƒˆç®¡ç†æ‰‹æ³•ã«ã¤ã„ã¦ã‚‚言åŠã€‚ 清水 å‰ç”·: 「派生開発ã€ã‚’æˆåŠŸã•ã›ã‚‹ãƒ—ãƒã‚»ã‚¹æ”¹å–„ã®æŠ€è¡“ã¨æ¥µæ„ 組込システム開発をベースã¨ã—ã¦ã€ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢é–‹ç™ºç‰¹æœ‰ã®ã‚¹ã‚¿ã‚¤ãƒ«ã§ã‚る派生開発ã€ç‰¹ã«XDDPã«ã¤ã„ã¦è§£èª¬ã—ãŸä¸–ç•Œã§ã‚‚稀ãªæœ¬ã€‚æ—¢å˜è£½å“ã‚’ä¿å®ˆã™ã‚‹ã®ã§ã¯ãªã継続的ã«æ©Ÿèƒ½è¿½åŠ ã—ã¦ã„ã昨今ã®é–‹ç™ºã§ã¯ã€æ´¾ç”Ÿé–‹ç™ºç‰¹æœ‰ã®å•é¡Œã‚’æ„è˜ã—ãªã‘ã‚Œã°ãªã‚‰ãªã„。XDDPã¯ãƒ—ãƒã‚»ã‚¹è«–ã ã‘ã§ãªãã€è¦ä»¶å®šç¾©ãªã©ã®ä¸Šæµå·¥ç¨‹ã®å“質改善ã«ã‚‚役立ã¤ã®ã§æ³¨æ„。 Le
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ã“ã‚“ãªã‚¢ã‚¤ãƒ†ãƒ も好ãã‹ã‚‚？を実装ã™ã‚‹ãŸã‚ã®ãƒ¬ã‚³ãƒ¡ãƒ³ãƒ‰ã‚¨ãƒ³ã‚¸ãƒ³ã®ã‚ªãƒ¼ãƒ—ンソースã¾ã¨ã‚ 2011å¹´03月30æ—¥- ã“ã‚“ãªã‚¢ã‚¤ãƒ†ãƒ も好ãã‹ã‚‚？を実装ã™ã‚‹ãŸã‚ã®ãƒ¬ã‚³ãƒ¡ãƒ³ãƒ‰ã‚¨ãƒ³ã‚¸ãƒ³ã®ã‚ªãƒ¼ãƒ—ンソースã¾ã¨ã‚。 amazonや色々ãªCGMサイトãŒå°Žå…¥ã—ã¦ã„ã¾ã™ãŒã€ä½•ã‹ã®ã‚¢ã‚¤ãƒ†ãƒ を見ã¦ã„ã‚‹ã¨ãã€é–¢é€£ã—ãŸã‚¢ã‚¤ãƒ†ãƒ を出ã—ã¦ã‚ã’ã‚‹ã¨ã„ã†ä»•çµ„ã¿ã‚’ã¾ã¨ã‚ã¦ã¿ã¾ã—ãŸã€‚ å”調フィルタリングã¨ã‚‚ã„ã„ã¾ã™ãŒã€CGMçš„ãªã‚µã‚¤ãƒˆãªã‚“ã‹ã‚’作る際ã«ã¯è¦šãˆã¦ãŠãã¨åˆ©ç”¨è€…満足度やPV増ã«ç¹‹ãŒã‚Šã¾ã™ã。 ãã‚Œã§ã¯ä»¥ä¸‹ã«ã¾ã¨ã‚ã¾ã™ã€‚ cicindela Perl+MySQL5ã§å‹•ä½œã€‚WEB API å½¢å¼ã§å‘¼ã¶ã“ã¨ãŒå‡ºæ¥ã‚‹ãŸã‚ã€PHPç‰ã®ä»–ã®è¨€èªžã‹ã‚‰å‘¼ã³å‡ºã™ã“ã¨ã‚‚容易ã§ã™ã€‚ vogoo PHPã®ã‚½ãƒ¼ã‚¹ã‹ã‚‰requireã—ã¦ä½¿ã†ã‚¿ã‚¤ãƒ—ã®PHPライブラリ。MySQL利用。PHPソースã‹ã‚‰ç›´æŽ¥åˆ©ç”¨ã—ãŸã„å ´åˆã«ä½¿ãˆã¾ã™ OpenSlopeOne ã“ã¡
レコメガール　復興支æ´ãƒãƒ¼ã‚¸ãƒ§ãƒ³
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