![Collective intelligence / Science / Recommender systems / Knowledge / Information retrieval / Cold start / Collaborative filtering / Multi-criteria decision analysis / Decision making / Decision theory / Information systems / Information science Collective intelligence / Science / Recommender systems / Knowledge / Information retrieval / Cold start / Collaborative filtering / Multi-criteria decision analysis / Decision making / Decision theory / Information systems / Information science](https://www.pdfsearch.io/img/0087580c9eb8797143f9d28291fca08a.jpg)
| Document Date: 2010-01-22 17:03:00 Open Document File Size: 268,99 KBShare Result on Facebook
Company Multi-Criteria Recommender Systems / Recommender Systems / / Country United States / / / Facility University of Minnesota / / IndustryTerm few systems / collaborative filtering systems / art algorithms / specified search / systems / content search / software systems / / Organization YoungOk Kwon Department of Information / School of Management / University of Minnesota / Minneapolis / / Person Kwon Abstract / Yang / Kim / Measurable Ordinal Fuzzy Probabilistic Adomavicius / Bernard Roy / Nikos Manouselis Greek / / Position representative / / ProvinceOrState Minnesota / / Technology art algorithms / /
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