In most articles reviewed, Bayesian Probability Ranking (BPR) was used with implicit feedback. Is it possible to used it with explicit feedback? Resources will be appreciated that talks about it's use with explicit feedback.
Thanks
See:
Mathematical Problems in Engineering
Volume 2016 (2016), Article ID 2535329, 11 pages
http://dx.doi.org/10.1155/2016/2535329
Research Article
Exploiting Explicit and Implicit Feedback for Personalized Ranking
It mentions studying personalized ranking algorithms by exploiting both explicit and implicit feedback. I hope this helps :)
You may want to check this paper: Article Using graded implicit feedback for bayesian personalized ranking
Although it is about graded implicit feedback, it seems to me that the same approach may be used for explicit feedback as well. In the end, it is all about how to sample training examples...:-)
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