AI Paper Atlas

Research map / Probabilistic and scientific modeling / Molecules and proteins

Minimizing User Involvement for Learning Human Mobility Patterns from Location Traces

AAAI 2016 · Probabilistic and scientific modeling › Molecules and proteins · approach: Multimodal trajectory prediction · 11 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
HuMoR representation vs LDA-A (sequence-level learning, side features) added to matrix factorizationlink prediction MF · MDCmean AUC: 0.891 -> 0.943Helped
HuMoR vs LDA-A added to matrix factorizationlink prediction MF · GWmean AUC: 0.935 -> 0.950Helped
add HuMoR representation to topology-only MFlink prediction MF · MDCmean AUC: 0.820 -> 0.943Helped
add HuMoR representation to topology-only MFlink prediction MF · GWmean AUC: 0.906 -> 0.950Helped
use asymmetric prior in LDA (LDA-A vs LDA) (ablation)KNN+CN link prediction · MDCmean AUC: 0.858 -> 0.870Helped
use HuMoR instead of LDA-A (sequences, side features)Decision Trees+CN · MDCmean AUC: 0.768 -> 0.800Helped
increase number of motifs K above 5 (ablation)HuMoR · MDCmean AUCHurt
increase number of motifs K (ablation)HuMoR · GWmean AUCNo clear effect
vary motif variance sigma^2 (1 to 100) (ablation)HuMoR · MDC and GWmean AUCNo clear effect
vary time-range side feature intervals (ablation)HuMoR · link predictionmean AUCNo clear effect

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy