The invention discloses a
big data analytical and statistical
system and method based on user news browsing. The
system comprises a
data processing module, a statistical and analytical module, a simulator and a user end, wherein the
data processing module comprises a
data acquisition sub-function module, a
data processing sub-function module and a
data publishing sub-function module; the statistical and analytical module comprises a
user management sub-function module and a
data analysis sub-function module; the simulator is used for storing newly published data in a
database server as latestdata; and the user end comprises a computer end and a mobile terminal, and is used for maintaining real-
time synchronization of the simulator and the user end using consistency of the data. Accordingto the
big data analytical and statistical
system and method based on user news browsing, through analysis of user interest preferences, news messages meeting the interests of users can be accuratelyrecommended to the users, and personalized news message recommendation to the buyer users is realized, the recommended product information is higher in matching degree with the requirement of the buyer user, and the interests of users are more satisfied, the current state of the information explosion is relieved, the overall news browsing rate is improved, and the network flow is optimized, meanwhile, the invention further has the advantages of saving energy and time of users, high in user experience comfort, etc.