The application relates to the field of intelligent recommendation systems, and particularly discloses a commodity
price reduction reminding method based on
collection time length, which comprises the following steps: triggering commodity
price reduction reminding according to user collection commodities; collecting data according to the collection commodities, dynamically determining a
price reduction triggering threshold according to the collection commodity time length; monitoring the
current price of the commodity based on the price reduction triggering threshold; when the
current price is reduced to <= the price reduction triggering threshold, sending a price reduction reminding information to the user; when the
current price of the commodity is > the price reduction triggering threshold, continuing to monitor; and adjusting the strategy of subsequent price reduction reminding according to the feedback behavior of the user to the price reduction reminding information. The application calculates the collection commodity time
length weight through a ladder type weight, quantifies the user demand urgency behind the
collection time length, changes the reminding strategy from commodity orientation to user demand orientation, and solves the problem that the reminding is not in line with the user will.