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| Contact: Lauren Dawe (lauren.dawe@fusepump.com)
| | Contacts: Leigh Simpson <leigh.simpson@fusepump.com>, Lauren Dawe (lauren.dawe@fusepump.com) |
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| Suggestion:
| | ===2015 project=== |
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| "Ecommerce retailers face a serious barrier to being able to fully automate their marketing activity. Many marketing channels require formatted product data, but crucially each has its own format which most retailers do not have the ability to support. This problem manifests itself mostly in product category mapping, an issue which has caused problems for some of the world's largest companies.
| | [[Retail Category Mapper]] |
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| You will need to make a machine learning tool that uses rules to take an unmapped category, and output a mapping based on a confidence level that can be used in marketing channels. Alongside this, a user interface will need to be created to allow human users to make manual interventions to mappings, show all mappings by confidence levels and allow additional information to be added to the training set. "
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| I think this would be a good basis for an interesting project. We may need to add some explanation, perhaps just by using examples, so that the computer science students who participate in this course understand what is meant by "marketing channel" and "product category mapping." We don't teach e-commerce as a separate subject, so they may not have come across the jargon, but I expect will be familiar with these concepts as applied in some familiar websites. It might be a good idea to choose sites that would have some natural appeal to students - perhaps in popular and youth culture.
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| One technical challenge in machine learning projects is gaining access to a training dataset sufficiently large for the project results to be comparable to current commercial offerings. Where a client is able to provide access to an interesting data set, this can result in an exciting project - for example, a prize-winning group a couple of years ago were given access to live data from Last.fm
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Latest revision as of 06:48, 8 October 2015
Contacts: Leigh Simpson <leigh.simpson@fusepump.com>, Lauren Dawe (lauren.dawe@fusepump.com)
2015 project
Retail Category Mapper
