Gaining insights from noisy data: designing transparent system for online decision making
Project Description

Users today have instant access online to large amounts of information on which to base their decisions. For example, they can choose products or book hotels based on user reviews or system recommendations. However, such information can be conflicting, biased, subjective and scattered across many sources. Solely relying on automatic approaches to address these issues can be insufficient due to inadequate usage of context and constantly updated users’ needs or criteria. This project aims to explore novel, transparent designs that increase user satisfaction, engagement and efficiency with actual decisions. We will build interactive prototype systems and evaluate their effects in users’ decision-making process.

Supervisor
MA Xiaojuan
Quota
4
Course type
UROP1100
UROP2100
UROP3100
UROP4100
Applicant's Roles

- Data collection and analysis
- Algorithm/model development and testing

Applicant's Learning Objectives

- Data mining and analysis
- Use of existing tools
- Communication skills

Complexity of the project
Moderate