Identifying and assigning metrics to influential user generated content

摘要

Techniques for collecting data indicative of one or more browsing behaviors (e.g., completing a transaction on a website) are described. User generated content (UGC) that affects user behavior may be identified, such as product reviews that, if read by a user, are statistically more likely to cause that user to make a purchase. A metric may be assigned to particular user generated content, where the metric indicates an extent to which the particular user generated content is associated with a particular browsing behavior. Based on the assigned metric, particular UGC may be included in a web page. For example, the product review that is most likely to cause a user to make a purchase may be placed in a prominent location on a web page in order to increase sales and revenue. Browsing behaviors may be positive or negatively associated, and metrics assigned to UGC may be based on visibility.