The present invention relates to an online advertisement classified pushing method and
system based on a
consumer behavior
data analysis and classification technology. Compared with the prior art, the online advertisement classified pushing method and
system overcome the defect that potential customers cannot be mined to carry out network online advertisement pushing. The online advertisement classified pushing method comprises the following steps of: carrying out data collection and preprocessing, i.e. collecting behavior data of consumers from online mobile terminals, establishing a data
pool, carrying out preprocessing operation on the data in the data
pool and providing data support for subsequent
data analysis and modeling; aiming at the behavior data of the consumers, carrying out modeling, i.e. establishing a
topic model facing the behavior data of the consumers so as to mine relations between the consumers and online advertisement categories as well as a purchase time period; and aiming at the consumers, carrying out effective classification and aiming at different
consumer categories, pushing the corresponding types of advertisements online. According to the present invention, by collecting the behavior data of the consumers on various mobile terminals, carrying out analysis and modeling on behaviors of the consumers and mining consumption habits of different consumers, effective classification of the consumers is implemented.