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Recommender systems and the social web : leveraging tagging data for recommen…
There is an increasing demand for recommender systems due to the information overload users are facing on the Web. The goal of a recommender system is to provide personalized recommendations of products or services to users. With the advent of the Social Web, user-generated content has enriched the social dimension of the Web. As user-provided content data also tells us something about the u…
- Edisi
- -
- ISBN/ISSN
- 978-3-658-01948-8
- Deskripsi Fisik
- xi, 112 hlm. : il. warna.
- Judul Seri
- -
- No. Panggil
- E1519
Karya Umum 
Filsafat 
Agama 
Ilmu-ilmu Sosial 
Bahasa 
Ilmu-ilmu Murni 
Ilmu-ilmu Terapan 
Kesenian, Hiburan, dan Olahraga 
Kesusastraan 
Geografi dan Sejarah