By default, product recommendations consider all historical data. The weighting curve adjusts this by prioritising recent activity.

The weighting curve calculates scores based on event recency, from the first event, such as an order or page view, to the most recent. Each product receives a score between 0.1 and 1, depending on its position in the timeline.

The weighting curve strongly favours more recent events. Only items placed in the last 20% of the timeline receive a weighted score above 0.5. From there, the weighting rises rapidly to 1.

The products you sell, customer type, seasonality, and other factors may affect how you think about the recency of your order or Web behavior tracking data.

If you would to like try a custom weighting curve, contact your Customer Success representative.