Social Computing Techniques

Learning Outcomes

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• Describe the most important techniques and issues in designing, building and modelling social computing systems
• Use recommender technologies such as item-based and user-based collaborative filtering techniques

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• The auctions used in online advertising
• Concepts and example applications from social computing, including crowdsourcing, recommender systems, and online auctions
• Applications in crowdsourcing
• Incentives in crowdsourcing applications

Subject Specific Practical Skills

Having successfully completed this module you will be able to:

• Set up social computing experiments and analyse the results using a scientific approach

Crowdsourcing

• Human computation
• Citizen science
• Amazon Mechanical Turk and other platforms
• Incentive engineering

Reputation and recommender systems

• User-based collaborative filtering
• Item-based collaborative filtering

Online auctions

• Sponsored search
• Display advertising

Web analytics and experimental design

• A/B split testing
• Latin squares

Rank aggregation

Resources & Reading list

Textbooks

Jeff Howe. Crowdsourcing: How the Power of the Crowd is Driving the Future of Business.

Charu C. Aggarwal (2016). Recommender Systems: The Textbook. Springer.

Jon Kleinberg. Networks, Crowds, and Markets: Reasoning About a Highly Connected World. David Easley.

Tim Ash, Maura Ginty. Landing Page Optimization: The Definitive Guide to Testing and Tuning for Conversions. Rich Page.

Dietmar Jannach, Markus Zanker, Alexander Felfernig, Gerhard Friedrich. Recommender systems: an introduction.

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Repeat

An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.

Repeat Information

Repeat type: Internal & External