https://recsyswiki.com/api.php?action=feedcontributions&feedformat=atom&user=Rubens 2026-04-25T21:55:44Z User contributions MediaWiki 1.34.2 https://recsyswiki.com/index.php?title=Active_learning&diff=692 2011-08-26T09:16:29Z

<p>Rubens: /* Publication list */</p> <hr /> <div>'''Active learning''' is a learning task where the learner actively selects the instances for which it wants to know the target values.<br /> In the context of [[recommender systems]], an example would be the selection of a list of [[items]] that a [[user]] should rate in order to get improved recommendations.<br /> <br /> == Publication list ==<br /> * [http://ActiveIntelligence.org N. Rubens], D. Kaplan, M. Sugiyama. Recommender Systems Handbook: Active Learning in Recommender Systems (eds. F. Ricci, P.B. Kantor, L. Rokach,B. Shapira). Springer, 2011 [http://activeintelligence.org/wp-content/papercite-data/pdf/Rubens-Active-Learning-RecSysHB2010.pdf], [http://activeintelligence.org/research/al-rs/].<br /> * [http://domino.research.ibm.com/comm/research_people.nsf/pages/rish.index.html I. Rish] and G. Tesauro. ''[http://domino.research.ibm.com/comm/research_people.nsf/pages/rish.index.html/$FILE/ita07_Rish.pdf Active Collaborative Prediction with Maximum Margin Matrix Factorization]'', invited paper/talk at Information Theory and Applications (ITA) Workshop, San Diego, Feb 2007.<br /> * Nadav Golbandi, [[Yehuda Koren]], Ronny Lempel: ''[http://research.yahoo.com/pub/3502 Adaptive Bootstrapping of Recommender Systems Using Decision Trees]'', [[WSDM]] 2011.<br /> <br /> == External links ==<br /> * [[Wikipedia: Active learning (machine learning)]]<br /> <br /> [[Category: Task]]</div>

Rubens