Trust-Based Recommendations In Multi-Layer Networks
The huge interest in social networking applications - Friendster.com, for example, has more than 40 million users - led to a considerable research interest in using this data for generating recommendations. This architecture allows for combining visibility measures with trust-based recommendations, giving trust-enhanced visibility measures.
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Trust-Based Recommendations In Multi-Layer Networks
The huge interest in social networking applications - Friendster.com, for example, has more than 40 million users - led to a considerable research interest in using this data for generating recommendations. This architecture allows for combining visibility measures with trust-based recommendations, giving trust-enhanced visibility measures.
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Trust-Based Recommendations In Multi-Layer Networks
250
Trust-Based Recommendations In Multi-Layer Networks
250Paperback
$70.00
70.0
In Stock
Product Details
| ISBN-13: | 9781586038540 |
|---|---|
| Publisher: | I O S Press, Incorporated |
| Publication date: | 07/15/2008 |
| Series: | Diski: Dissertationen Zur Kuenstlichen Intelligenz , #316 |
| Pages: | 250 |
| Product dimensions: | 5.80(w) x 8.20(h) x 0.50(d) |
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