Context-aware personalized path inference from large-scale GPS snippets.

•A context-aware personalized path inference model is proposed.•The model incorporates both the road average speeds and the personal preferences.•An EM based learning technique is proposed to discover the road average speeds.•Matrix factorization is used to extract the personal preferences.•Experiments were carried out on real world databases yielding better performance.