It might facilitate indexing and exploration of the “recent” web instead of forcing us to drown in antiquated content.  While the Temporal Relevance slider enables human annotation of an item’s projected loss of importance, this decay could alternatively be inferred by graphing taggers’ Time Relevance selections over time.

Viewed in aggregate, can user generated temporal metadata teach machines to predict what humans find important over time?