9786136207513 - Ness Computing: Recommender system, Machine learning, Foursquare (3 Ergebnisse)

Taschenbuch. Zustand: Neu. Ness Computing | Recommender system, Machine learning, Foursquare | Eloi Rylan Koios | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786136207513 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. Ness Computing isa personal search company. It was founded in October 2009 by CoreyReese, Paul Twohey, Nikhil Raghavan, and Steven Schlansker. The companyis headquartered in Los Altos, California. The company, whose mission isto make search personal, is sometimes referred to as the 'Palantir forfun'. It aims to help people make decisions about dining, nightlifeentertainment, shopping, music, travel and more. The company refers toits technology as the 'Likeness Engine', a combination of arecommendation engine that uses machine learning to look at data fromsocial networks including Facebook and Foursquare, and a traditionalsearch engine that serves up results based on these signals.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. Ness Computing isa personal search company. It was founded in October 2009 by CoreyReese, Paul Twohey, Nikhil Raghavan, and Steven Schlansker. The companyis headquartered in Los Altos, California. The company, whose mission isto make search personal, is sometimes referred to as the 'Palantir forfun'. It aims to help people make decisions about dining, nightlifeentertainment, shopping, music, travel and more. The company refers toits technology as the 'Likeness Engine', a combination of arecommendation engine that uses machine learning to look at data fromsocial networks including Facebook and Foursquare, and a traditionalsearch engine that serves up results based on these signals.