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Highly Recommended: Collaborative Filtering Gives Customers What They Want
Venkatesan, Rajkumar; Gibbs, SheaTechnical Note DARDEN-M-0974-EMarketingNetflix Top Picks, Amazon recommendations, the iTunes Genius button. They all have one thing in common: they are driven by clever algorithms that use a technique known as collaborative filtering. Often used in machine learning operations, collaborative filtering is the process by which a firm like Netflix generates predictions about a single user’s preferences using data taken from a large number of users. This technical note offers an overview o...Starting at €8.20
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UnbeLEAFable Snacks
Wilcox, Ronald T.; Grushka-Cockayne, Yael; King, Nick; White, JohnCase DARDEN-M-0911-EMarketingIn this case a business school student, Kate Maxwell, must decide whether to accept a job offer in wealth management or pursue her dream of building her own company around healthy gummy snacks for children. Because Maxwell’s gummies rely on high-quality, fresh ingredients that are more expensive than those used in similar gummy snacks, they would have to carry a hefty price premium in the marketplace to be viable. Could this new brand concept cre...Starting at €8.20
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Transformation of Marketing at the Ohio Art Company (B)
Farris, Paul W.; Venkatesan, Rajkumar; Murray, Meghan; Moon, DustinCase DARDEN-M-0838-EMarketingOhio Art shifts its advertising and distribution strategy for a new line of construction toys aimed at adults called nanoblock. Distribution focuses on toy and hobby outlets, avoiding mass merchandisers, but Amazon.com is also stocking and selling the nanoblock line. Digital marketing strategies are being developed for both promotion through Amazon.com and social media. While shifting marketing to new media, management is distracted by the media ...Starting at €5.74