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cs.IR2022
Joint Triplet Loss Learning for Next New POI Recommendation
Nicholas Lim, Bryan Hooi, See-Kiong Ng +1
Sparsity of the User-POI matrix is a well established problem for next POI recommendation, which hinders effective learning of user preferences. Focusing on a more granular extensi…
cs.LG2022
ARES: Locally Adaptive Reconstruction-based Anomaly Scoring
Adam Goodge, Bryan Hooi, See Kiong Ng +1
How can we detect anomalies: that is, samples that significantly differ from a given set of high-dimensional data, such as images or sensor data? This is a practical problem with n…