![Linear algebra / Human–computer interaction / Recommender systems / Collective intelligence / Collaborative filtering / Singular value decomposition / GroupLens Research / Latent semantic indexing / Orthogonal matrix / Algebra / Information science / Information retrieval Linear algebra / Human–computer interaction / Recommender systems / Collective intelligence / Collaborative filtering / Singular value decomposition / GroupLens Research / Latent semantic indexing / Orthogonal matrix / Algebra / Information science / Information retrieval](https://www.pdfsearch.io/img/1085ba3ff5d196a0498a9c51597966ac.jpg)
| Document Date: 2013-10-21 15:54:18 Open Document File Size: 145,33 KBShare Result on Facebook
Company Joseph A. Konstan / Digital Equipment Corporation / CDnow.com / Pearson / John T. Riedl GroupLens Research Group / Amazon / / / Event Product Recall / Product Issues / / Facility Engineering University of Minnesota Minneapolis / / IndustryTerm recommender algorithm / agent solution / Recommendation algorithms / matrix product / inner product / collaborative filtering recommender systems / matrix factorization algorithm / recommender system algorithms / typical web-based recommender system / model to recommend products / Web server software displays / dot product / particular product / recommender systems / Web access patterns / e-commerce data / data analysis software / web systems / neighbor algorithms / Web interface / online performance / recommender system technology / e-commerce sites / matrix products / neural network / collaborative filtering algorithms / large e-commerce / recycled memo pad products / recycled letter pad products / ratings-based automated collaborative filtering systems / pseudonymous collaborative filtering solution / e-commerce dataset / particular products / prediction generation algorithm / Web server software / e - commerce / prediction algorithms / online component / nearest neighbor algorithm / model-based technology / ecommerce data / prediction algorithm / outbound telephone campaigns / recommender system technologies / recycled office products / web-based research recommender system / select high-quality products / retail store inventory / nearest neighbor algorithms / / Organization Computer Science and Engineering University of Minnesota Minneapolis / Army HPC Research Center Department of Computer Science / / Person Sue / Paul / Mike / George Karypis / / / Position analyst / / Product MovieLens / community namely / MovieLens recommender system / F1 / / ProgrammingLanguage EC / R / HTML / ML / / Technology Recommendation algorithms / recommender system technologies / SVD-based recommender algorithm / SVD-based prediction algorithm / nearest neighbor algorithm / collaborative filtering algorithms / classical CF algorithm / SVD algorithms / how one model-based technology / prediction algorithms / correlation-based CF algorithm / correlation-based algorithm / one technology / recommender system technology / underlying matrix factorization algorithm / Nearest neighbor algorithms / neural network / prediction generation algorithm / DHTML / alternative recommender system algorithms / sparse SVD algorithms / Web server / SVD-based prediction generation algorithm / / URL www.cdnow.com / www.movielens.umn.edu / www.amazon.com / /
SocialTag |