Adaptive Advertisement Selection and Recommendation System based on User's Browsing Style

A system for use in an online advertisement selection includes tracking, measuring browsing style of online users in order to further interpret, calculate and categorize the information to generate user-specific profiles for targeted advertisement. Auser’s style means the way a user interacts and responds to presented situations through personal skills, spontaneous or/and influential decisive actions, interaction needs and is in essence a potentially determinable way of working online. The said actions result in a user-specific speed of transition(across web browser tabs), cursor movement, editing (across blogs), commenting, reading (of published content), etc. Data pertaining toa user’s browsing style is further compared with the cumulative plurality of the web browsing style of other users through the use of a centralized recording and monitoring program running at a designated computer server. Technological improvement represented through this work actually determines profiling values based on a user’s web browsing style and uses the categorized profiles to intelligently select the most suitable advertisement for streaming and for a display to the that user. Because the data about the online users’ web browsing style along with the data about the web pages content and the online advertisements users access is collected heuristically, the proposed algorithm optimizes and makes precise recommendation about the selection of advertisements