Enhanced content-based filtering algorithm using artificial bee colony technique
Recommender systems can guide the users in a tailored way to interesting objects in a large space of possible options. The Content-based Filtering (CBF) approach is one of the most widely adapted to date. It basically analyses a set of textual descriptions of items. These items are already evaluated...
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| Format: | Dissertation (University of Nottingham only) |
| Language: | English |
| Published: |
2014
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| Online Access: | https://eprints.nottingham.ac.uk/30759/ |