Optimization of Personalized Shopping Experiences by Knowledge Discovery in Online Shopping Virtual Communities (advert reference EE/DRFCEIS7/53720)

Project Description

Satisfying customer needs by providing either appropriate products or services is a priority of a business. Traditionally, observation of customer behaviour is very limited due to limited documents and interactions with customers. With more and more customers shifting to online shopping a huge amount of consumer behaviour data is generated and captured. This provides various opportunities to analyse consumer behaviour through data mining, text mining, sentiment analysis, pattern recognition and web log mining. This project aims to explore customer needs through knowledge discovery in virtual communities and online shopping websites.

We are seeking a candidate with high interest in consumer behaviour and future technology trends, and knowledge in the areas of marketing / information systems / information management / computer sciences. Data analysis skills, data mining skills are highly desirable.

Informal Enquiries
Enquiries regarding this studentship should be made to: [Email Address Removed]

Eligibility criteria:

Applicants should hold a first or upper second class honours degree (in a relevant subject) from a British higher education institution, or equivalent. Students who are not UK/EU residents are eligible to apply, provided they hold the relevant academic qualifications, together with an IELTS score of at least 6.5.

To apply, contact Karen Vacher to request the appropriate application form, quoting the advert reference above, via email to [Email Address Removed] or by using the application link on this page.