| 摘要 |
<p>A system employing an automated collaborative filtering method for providing a recommendation an item to a primary viewer (14) based upon feedback data (D3, D4, D12a-D12c, D15a-D15c), implicit data (D7, D8, D17a-D17c, D19a-D19c), and/or explicit data (D11, D21a-D21c) corresponding to the primary viewer (14) as well as other secondary viewers (15-17) is disclosed. A first act of the automated collaborative filtering process is to match data (D3, D4, D7, D8, D11) indicative of a viewing of a first group of items by the primary viewer (14) to data (D12a-D12c, D15a-D15c, D17a-D17c, D19a-D19c, D21a-D21c) indicative of a viewing of a second group of items by the group of secondary viewers (15-17). A second act of the automated collaborative filtering process is to generate a recommendation (D14, D16, D18, D20, D22, D23) of the unviewed item by the primary viewer (14) as a function of data (D13) indicative of one or more attributes of the item as compared to the data matching accomplished in the first act.</p> |
