Detail Collaborative Filtering With Maximum Entropy   Oleh:  Pavlov, D. ; Manavoglu, E. ; Giles, C. L. ; Pennock, D. M. Jenis: Article from Bulletin/Magazine Dalam koleksi: IEEE Intelligent Systems vol. 19 no. 6 (2004), page 40-48. Topik: entropy; collaborative; filtering; maximum entropy Ketersediaan Perpustakaan Pusat (Semanggi) Nomor Panggil: II60.7 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada     Lihat Detail Induk Isi artikel As users navigate through online document collections on high - volume Web servers, they depend on good recommendations. We present a novel maximum - entropy algorithm for generating accurate recommendations and a data - clustering approach for speeding up model training. Recommender systems attempt to automate the process of "word of mouth" recommendations within a community. Typical application environments such as online shops and search engines have many dynamic aspects. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Kembali

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