Analysis of User’s Data for Book Search

Abstract

Today the world is flooding with enormous amount of information in the web. For retrieval of proper information, it can be a confusing task though with help of some effective tools we can seek desired information within less amount of time. While searching for a book, the users are confronted with both professional metadata and user-generated content. The goal of my thesis is to analyze behavior of the user using these two sources for a relevant book search. As there are two type of tasks, goal oriented task and non-goal oriented task, depending on these tasks the user activity was analyzed. Also, two system interface design was observed on how the user performances are accelerated with multiple search functions.