Thuy Duong Le

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Recommending new items is an important, yet challenging problem due to the lack of preference history for the new items. To handle this problem, the existing system uses the popular core techniques like collaborative filtering, content-based filtering and combinations of these. In this paper, we propose a market-based approach for seeding recommendations(More)
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