An Artificially Intelligent Recommender for Enhancing User’s Browsing Experience
Year: 2009
Editor: Chakrabarti, A.
Author: Vaishnav,Vikas; Yammiyavar,Pradeep
Section: Human Factors, Aesthetics, Semantics, ans Semiotics
Page(s): 402-408
Abstract
This paper is a depiction of how user experience, while interacting with a product can be improved by identifying the user's choices based on their behaviors and reactions while interacting with a display. The paper describes the design and development of a news intelligent recommender system for the website www.timesofindia.com. The new system first identifies user behavior unobtrusively, and then interprets the behavior by understanding the design patterns and re- configures the visual placement of the information on the display screen to suit the habitual preferences of the user. The recommender system suggests the changes by altering the Information Architecture of the website or the arrangement of design elements on the web interface.The aim is to ease the user's interactive experience that may be due to information overload and visual clutter. It makes it possible to give the user what he/she is looking for in terms of priority
Keywords: User Behaviors/interaction Patterns, Internet, Eye tracking, Recommender System, Information Architecture (IA)