Beschreibung
Recommender systems can now be found in many modern applications that expose the user to a huge collection of items. Such systems typically provide the user with a list of recommended items they might prefer, or predict how much they might prefer each item. These systems help users to decide on appropriate items, and ease the task of finding preferred items in the collection.For example, the DVD rental provider Netflix displays predicted ratings for every displayed movie in order to help the user decide which movie to rent. The online book retailer Amazon provides average user ratings for displayed books, and a list of other books that are bought by users who buy a specific book. Microsoft provides many free download for users, such as bug fixes, products and so forth. When a user downloads some software, the system presents a list of additional items that are downloaded together. All these systems are typically categorized as recommender systems, even though they provide diverse services.
Autorenporträt
1. DR. Vekariya Vipul Manasukhbhai, Ph.D. ( C.E.), is having 15+ years of experience in Engineering Education Field. Presently associated with Faculty of Engineering, Noble Group of Institutions,Junagadh (Gujarat) 2. DR.G. R. Kulkarni, Ph.D. ( C.S.E.), is having 34 years of experience in Engineering Education Field. Presently associated with ADCET.
Herstellerkennzeichnung:
BoD - Books on Demand
In de Tarpen 42
22848 Norderstedt
DE
E-Mail: info@bod.de
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