Jiang, Na (2018) Implicit Feedback Recommender System Based on Matrix Factorization. In: 12th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities.
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Abstract
With the development of the internet age, information overload problem is imminent. At now, almost of recommended models use the explicit feedback. But lots of implicit feedback data are missing. The paper explores the area of recommendation based on large-scale implicit feedback, Where only positiv
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 11:06 |
| Last Modified: | 17 Apr 2026 16:36 |
| URI: | http://eprints.eai.eu/id/eprint/16986 |
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