The InfoFinder Agent : Learning User Interests Through Heuristic Phrase Extraction  

Oleh:

Krulwich, B. ; Burkey, C.

Jenis: Article from Bulletin/Magazine
Dalam koleksi: IEEE Intelligent Systems vol. 12 no. 5 (1997), page 22-27.
Topik: heuristics; info finder agent; user interests; heuristic phrase; extraction

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II60.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

The paper discusses InfoFinder, a system that uses several innovative approaches for learning user information interests from sets of messages or other online documents that users have classified. InfoFinder's innovations leverage the unique aspects of learning from user-classified documents in a real - world setting. Users find Infofinder to be an accurate and valuable tool for finding information relating to ongoing interests.

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