Recommender system for events with hybrid filtering and ensemble machine learning
This work aims to build a recommender system for local events that uses hybrid information filtering methods and ensemble machine learning. The motivation behind the project is the lack of a universal event aggregator that recommends personalized local events to its users. The sources currently used...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2016
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| Online Access: | http://hdl.handle.net/10356/66955 |