![]() ![]() Rather than simply breaking a user-rating matrix into training and test components, predictions are made on all items based on the user-rating matrix that is available at that time. The first attempt at including time in the evaluation of a CF algorithm requires a very small change to traditional methods. Users in this group are therefore not simply responding to a set of recommendations, but are proactively seeking to rate items, set rating trends, and respond to rating incentives, although this activity seems to wane as time passes. ![]() ![]() A very large proportion of movies receive their first rating within a very brief interval from time zero as Figure 3 shows, over half of the set of movies receives its first rating within days. ![]()
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