View Proposal
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Proposer
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Ian Tan
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Title
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Recommender System using Large Language Model API
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Goal
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A software system that provides recommendation for daily activities
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Description
- The recommendation domain is open to discussion, it can be for a single domain or a multi-domain (meals, sports, drinks, movies). The current default recommendation using LLMs such as ChatGPT is generic and does not take into account of the user's location, the user's preference, past events (need to store), or popularity of the recommendation. This project is a software development project, with historical logs, and prompt engineering to effectively query a Large Language Model API to provide recommendation. The project should also have a measure of effectiveness or impact to the users.
- Resources
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Subscription to APIs where necessary, and hosting server.
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Background
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Url
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Difficulty Level
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Moderate
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Ethical Approval
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InterfaceOnly
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Number Of Students
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1
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Supervisor
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Ian Tan
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Keywords
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recommender system, llm, prompt engineering, software development.
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Degrees
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Bachelor of Science in Computing Science