The invention discloses a crowd orientation method based on
big data analysis, relates to the technical field of crowd orientation, and is used for solving the problems that the shopping
cart conversion efficiency is reduced and the resource waste rate of a recommendation
system is increased. Counting access intervals of various commodities, accessing a historical
database to extract a conversion period reference of a user, calculating interaction attenuation characteristics in combination with the access intervals, analyzing a cooling ratio to judge whether the user is in an interest cooling stage, and extracting commodity retention duration and commodity source information for the interest cooling stage; and channel
viscosity indexes of different commodity sources and channels are calculated, the channel
viscosity indexes and the commodity retention duration are comprehensively calculated to obtain a scheduling priority
score, and the display sequence of the shopping
cart commodities is adjusted, so that the display weight of
high potential commodities is improved, and the shopping
cart conversion efficiency and recommendation accuracy are improved.