Abstract
A technique that correlates database items to a task adds content independent context to a recommender system based solely on user interest ratings. A task-focused approach to recommendation that is entirely independent of the type of content involved is presented. The approach leverages robust, high-performance, commercial software. In particular, such an approach is implemented in a live movie recommendation site and validated with empirical results from user studies.
Original language | English (US) |
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Pages (from-to) | 40-47 |
Number of pages | 8 |
Journal | IEEE Internet Computing |
Volume | 5 |
Issue number | 6 |
DOIs | |
State | Published - Nov 2001 |