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Ziqing Wu

2 accepted papers

2022

Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences

IJCAI 2022poster

Existing studies on next point-of-interest (POI) recommendation mainly attempt to learn user preference from the past and current sequential behaviors. They, however, completely ignore the impact of future behaviors on the decision-making, thus hindering the quality of user preference learning. Intu…

2020

An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins

IJCAI 2020poster

Studies on next point-of-interest (POI) recommendation mainly seek to learn users' transition patterns with certain historical check-ins. However, in reality, users' movements are typically uncertain (i.e., fuzzy and incomplete) where most existing methods suffer from the transition pattern vanishin…