Method and system for performing personalized recommendation according to user interest points/concerns

The invention provides a method and a system for performing personalized recommendation according to user interest points/concerns. The method includes: (a) integrating user behavior logs of a user on multiple product lines within a scheduled time period, (b) dividing sessions according to the logs of the user within the scheduled time period, (c) performing similar requirement behavior information integration on the user behavior logs of the divided sessions and mining the user interest points/concerns, and (d) displaying personalized recommendations aiming for the user interest points/concerns through a recommendation ranking model according to the mined user interest points/concerns.