Recommender system for online shopping
Many websites enable users to express their special interests in new, engaging ways, to offer authentic, high value connectivity with new people they do not already know and help them find the right items to purchase. The objective of this project is to (1) develop new learning- to-rank algorithms...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175015 |
| Summary: | Many websites enable users to express their special interests in new, engaging ways, to offer authentic, high value connectivity with new people they do not already know and help them find the right items to purchase. The objective of this project is to (1) develop new learning-
to-rank algorithms for ranking users for Whom-to-Follow, and (2) develop new methods to infer users'
preference from their implicit feedback. |
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