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Using Document Access Sequences to Recommend Customize Information
Oleh:
Bauer, T.
;
Leake, D.
Jenis:
Article from Bulletin/Magazine
Dalam koleksi:
IEEE Intelligent Systems vol. 17 no. 6 (2002)
,
page 27-33.
Topik:
CUSTOMIZED MESSAGE
;
document access
;
customize information
Ketersediaan
Perpustakaan Pusat (Semanggi)
Nomor Panggil:
II60.5
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
WordSieve, a text analysis algorithm, uses a competitive - network - learning approach to learn topic-relevant keywords in real time with no predetermined corpus. You can use these keywords to form search engine queries to suggest relevant documents to the user.
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