Denoising Implicit Feedback for Recommendation

7 Jun 2020Wenjie WangFuli FengXiangnan HeLiqiang NieTat-Seng Chua

The ubiquity of implicit feedback makes them the default choice to build online recommender systems. While the large volume of implicit feedback alleviates the data sparsity issue, the downside is that they are not as clean in reflecting the actual satisfaction of users... (read more)

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