Survey · 2026
Negative Sampling in Recommendation: A Survey and Future Directions
Ma H, Xie R, Meng L, Feng F, Du X, Sun X, Kang Z, Meng X
What it found
Surveys how recommender systems learn from what people do not choose. Positive signals get most of the attention; negative signals are noisier and easy to misread, and something a person did not see cannot be counted as a 'no'.
Where the evidence stops
A survey of recommender methods. Affiliations are taken from the preprint.
How it shapes Pursue
Pursue
Ignoring a suggestion is not the same as rejecting it. Pursue weights what you say over what it infers.
A design input, not evidence that Pursue works.