Difference between revisions of "ANLY482 AY2016-17 T2 Group7"
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Revision as of 16:48, 6 January 2017
Business Problem & Motivation
The role of the analytics team (part of Learning & Information Services) in Li Ka Shing Library is to discover meaningful insights about user behaviour so as to provide necessary assistance in forms of library e-resources training, helpdesk and support. However, the current problem is that they do not know what to do with the logging data collected from the library’s main web page, http://library.smu.edu.sg/. Thus, the logging data files are neglected and therefore the library analytics team wishes to collaborate with us in realizing the full potential of this data.
Project Objective
This project aims to do analysis on log files to:
- Understand user behaviour by using a data-driven approach
- Understand the relationship between different search queries for different users
- Examine the event sequence for unique users (Eg. What articles did User A searched together or 1 after another in sequence)
Datasets
Proxy log data & student information data (Names of Students are Hashed)
