← all datasets

Big-Five

Emerging
1papers using it
2021first seen

The 'Big-Five' is a personality model that contains five key traits used to represent user personalities in personality-aware recommendation systems, which aim to improve recommendation accuracy and address issues like cold start and data sparsity.

Papers using Big-Five (1)

Big-Five β€” datasets β€” recommender-systems