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About this product
- Description� There is an increasing demand for recommender systems due to the information overload users are facing on the Web. A tag recommender algorithm is proposed which recommends tags for users to annotate their favorite online resources.
- Author BiographyDr. Fatih Gedikli is a research assistant in computer science at TU Dortmund, Germany.
- Author(s)Fatih Gedikli
- PublisherSpringer Fachmedien Wiesbaden
- Date of Publication29/03/2013
- GenreComputing: Professional & Programming
- Place of PublicationWeisbaden
- Country of PublicationGermany
- ImprintSpringer Vieweg
- Content Note28 Tables, black and white; 14 Illustrations, color; 15 Illustrations, black and white; XI, 112 p. 29 illus., 14 illus. in color.
- Weight173 g
- Width148 mm
- Height210 mm
- Edition Statement2013 ed.
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Thanks, we'll look into this.