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Erschienen in:
2018 | OriginalPaper | Buchkapitel
10. Analyzing Music Trends and Recommendations
verfasst von : Dipanjan Sarkar, Raghav Bali, Tushar Sharma
Erschienen in: Practical Machine Learning with Python
Verlag: Apress
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Abstract
Recommendation engines are probably the most well known Machine Learning applications. They are one of the most recognized form of Machine Learning solutions. A lot of people who don't belong to the Machine Learning community often assume that recommendation engines are its only use. Although we know that Machine Learning has a vast subspace where recommendation engines are just one of the candidates, there is no denying the popularity of recommendation engines. One of the reasons for their popularity is their ubiquitous nature; anyone who is online, in any way, has been in touch with a recommendation engine. They are used for recommending products on ecommerce sites, travel destinations on travel portal, songs/videos on streaming sites, restaurants on food aggregator portals, etc. The list is long that underlines their universal application.