Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/175015| Title: | Recommender system for online shopping | Authors: | Wang, Jun Jie | Keywords: | Computer and Information Science Engineering |
Issue Date: | 2024 | Publisher: | Nanyang Technological University | Source: | Wang, J. J. (2024). Recommender system for online shopping. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175015 | Project: | PSCSE22-0046 | Abstract: | 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. | URI: | https://hdl.handle.net/10356/175015 | Schools: | School of Computer Science and Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
| Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FYP_report.pdf Restricted Access | Final year report of "RECOMMENDER SYSTEM FOR ONLINE SHOPPING" | 12.05 MB | Adobe PDF | View/Open |
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