include a broad range of data regarding how multiple individuals in the community, or the community as a whole, perceive items. Inputs that reflect overall community opinions include item attribute assignments that assign community-based labels and categories to items. For example, many attributes such as film genre and book categories reflect the consensus of the
broader society. Similarly, external item popularity may reflect popularity in broader communities such as global box-office sales or national best-seller lists. In manually selected recommendation lists such as CDNOW’s Buyer’s Guides, it is presumed that editors are taking into account more than site sales figures to generate their list of most popular products. Finally, just as we described using the purchase history of an individual customer as a set of implicit ratings about products, we can utilize the community purchase history to do the same. These can be combined to produce site-specific top seller lists (Purchase Circles), or mined to discover similarities, and draw conclusions about sales trends or item similarity (Album Advisor)
include a broad range of data regarding how multiple individuals in the community, or the community as a whole, perceive items. Inputs that reflect overall community opinions include item attribute assignments that assign community-based labels and categories to items. For example, many attributes such as film genre and book categories reflect the consensus of the
broader society. Similarly, external item popularity may reflect popularity in broader communities such as global box-office sales or national best-seller lists. In manually selected recommendation lists such as CDNOW’s Buyer’s Guides, it is presumed that editors are taking into account more than site sales figures to generate their list of most popular products. Finally, just as we described using the purchase history of an individual customer as a set of implicit ratings about products, we can utilize the community purchase history to do the same. These can be combined to produce site-specific top seller lists (Purchase Circles), or mined to discover similarities, and draw conclusions about sales trends or item similarity (Album Advisor)
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