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Collective intelligence
Results: 1583

#	Item
91	DiRec: Diversified Recommendations for Semantic-less Collaborative Filtering Rubi Boim, Tova Milo, Slava Novgorodov School of Computer Science Tel-Aviv University {boim,milo,slavanov}@post.tau.ac.il Add to Reading List Source URL: www.mancoosi.org Language: English - Date: 2012-12-16 04:54:55 Data mining Recommender systems Collaboration Collective intelligence Medoid Collaborative filtering Cluster analysis Nearest neighbor search
92	Journal of Machine Learning Research 18:199–213, 2012 Proceedings of KDD-Cup 2011 competition Combining Predictors for Recommending Music: the False Positives’ approach to KDD Cup track 2 Add to Reading List Source URL: jmlr.org Language: English - Date: 2012-06-01 11:02:19 Statistical classification Collective intelligence Recommender systems Collaboration Model selection Cross-validation Collaborative filtering Netflix Prize Support vector machine Cold start Regression analysis Star
93	Int. ACM Workshop on Crowdsourcing for Mul)media Tag Sugges)on on YouTube by Personalizing Content-‐based Auto-‐Annota)on Dominik Henter, Damian Bor Add to Reading List Source URL: www.dfki.uni-kl.de Language: English - Date: 2012-12-04 23:32:27 Video hosting Collective intelligence Knowledge representation YouTube Internet video Tag
94	For information only – not an official document The Rule of law: Add to Reading List Source URL: www.un-congress.org Language: English - Date: 2015-03-04 15:20:18 Photo sharing Social networking services Social media Collective intelligence Hashtag Reference Transnational organized crime Transnational Organized crime Instagram Cybercrime Facebook
95	NEW MEXICO Grade 7 MATHEMATICS STANDARDS PROCESS STANDARDS To help New Mexico students achieve the Content Standards enumerated below, teachers are encouraged to base instruction on the following Process Standards: Add to Reading List Source URL: www.ped.state.nm.us Language: English - Date: 2016-06-25 18:47:30 Collective intelligence Knowledge representation Mathematical model 0.999... Statistics Fraction Economic model Floating point Pi Real number Emmy Noether Principles and Standards for School Mathematics
96	MODELING LOWER BOUNDS OF WORLD RECORD RUNNING TIMES By KEVIN HEISLER A SENIOR RESEARCH PAPER PRESENTED TO THE DEPARTMENT OF MATHEMATICS Add to Reading List Source URL: www2.stetson.edu Language: English - Date: 2014-05-07 15:37:03 Collective intelligence Knowledge representation Mathematical model Histogram Economic model Prediction Statistics Parameter Plot
97	Existence and uniqueness of solutions to dynamic models with occasionally binding constraints. Add to Reading List Source URL: www.macfinrobods.eu Language: English - Date: 2016-06-07 05:22:16 Mathematical optimization Collective intelligence Knowledge representation Mathematical model KarushKuhnTucker conditions Algorithm
98	I present a new similarity score, based on a statistical model, that is useful for clustering problems with high missing data rates and discrete data values. In settings that range from genomics to recommender systems, I Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Recommender systems Data mining Collaborative filtering Collaborative software Collective intelligence Social information processing Cluster analysis SimRank Word embedding
99	FOR IMMEDIATE RELEASE: April 15, 2016 Contact: Erica Minutella, (Images available upon request) Add to Reading List Source URL: inliquid.org Language: English - Date: 2016-04-18 14:17:45 Collective intelligence Computer jargon Hashtag Knowledge representation Social media Web 2.0 Renato Bertelli Grand Canyon Digital art Visual arts
100	15th International Society for Music Information Retrieval Conference (ISMIRIMPROVING MUSIC RECOMMENDER SYSTEMS: WHAT CAN WE LEARN FROM RESEARCH ON MUSIC TASTES? Audrey Laplante École de bibliothéconomie et des Add to Reading List Source URL: www.terasoft.com.tw Language: English - Date: 2014-10-21 11:44:22 Collective intelligence Aesthetics Music cognition Music psychology Psychology of music preference Cold start Music Recommender system Pop music Collaborative filtering Acquired taste Odor

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