Analysis of User’s Data for Book Search
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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.
Joint Master Degree in Digital Library Learning (DILL)