If you like the concept of Reddit, Digg, or del.icio.us, we have something similar to offer - user-driven popularity - an extension to our recently launched most popular click-to-merchant deals.
All deals were not issued equally attractive. One may think a deal is attractive, the other may have different opinion on the same deal. We'd like to leverage statistics generated from users of our site who are all potential shoppers, and name such level of attractiveness as 'interests.' 'Interests' is all about shopper-driven popularity within a limited time frame no longer than its lifetime during which a deal is valid (non-expired). To calculate and derive 'interests', every deal is automatically and implicitly voted on by anonymous shoppers when they click on a deal listing (promotional code, coupon, sale, or product deal listing) and go onto merchant site.
As a result, on a merchant's deal page, we start to present listings in the order of 'interests' as voted implicitly by shoppers. The implicitness should void the concern of user-driven content equals courtroom danger, and respect the anonymous status of all voters. I personally feel the approach is really useful to present merchant with handful offers not easily fit into one short page so readers can quickly spot great deals.
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