Tell Me Where to Go Next: Improving POI Recommendation via Conversation

Changheng Li, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Next Point-of-Interest (POI) recommendation estimates user preference on POIs according to past check-in history, suffering from the intrinsic limitation of obtaining dynamic user preferences. Conversational Recommendation System (CRS), which can collect dynamic user preferences through conversation, brings a solution to the above limitation. However, none of the existing CRS methods consider the spatio-temporal factors in the action selection phase, which are essential for POI conversational recommendation. In this paper, we propose a new Spatio-Temporal Conversational Recommendation System (STCRS) to fuse the spatio-temporal and dialogue information for next POI recommendation. Specifically, STCRS first learns the spatio-temporal information in the user’s check-in history. Then reinforcement learning is used to decide which action (asking for an attribute or recommending POIs) to take at the next turn to achieve successful POI recommendation within as few turns as possible. Finally, our extensive experiments on two real-world datasets demonstrate significant improvements over the state-of-the-art methods.

Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Proceedings
EditorsChristian S. Jensen, Ee-Peng Lim, De-Nian Yang, Wang-Chien Lee, Vincent S. Tseng, Vana Kalogeraki, Jen-Wei Huang, Chih-Ya Shen
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages17
ISBN (Print)9783030731991
StatePublished - 2021
Event26th International Conference on Database Systems for Advanced Applications, DASFAA 2021 - Taipei, Taiwan, Province of China
Duration: Apr 11 2021Apr 14 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12683 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference26th International Conference on Database Systems for Advanced Applications, DASFAA 2021
Country/TerritoryTaiwan, Province of China


  • Conversational recommendation
  • Point-of-interest
  • Self-attention


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