research-article

CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation

Authors:

Junhao WenAuthors Info & Claims

CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

Pages 473 - 482

https://doi.org/10.1145/3583780.3614813

Published: 21 October 2023 Publication History

Abstract

Next point-of-interest (POI) recommendation optimizes user travel experiences and enhances platform revenues by providing users with potentially appealing next location choices. In recent research, scholars have successfully mined users' general tastes and varying interests by modeling long-term and short-term check-in sequences. However, conventional methods for long and short-term modeling predominantly employ distinct encoders to process long and short-term interaction data independently, with disparities in encoders and data limiting the ultimate performance of these models. Instead, we propose a shared trajectory encoder and a novel Contrastive learning of Long and Short-term Preferences for next POI Recommendation (CLSPRec) model to better utilize the preference similarity among the same users and distinguish different users' travel preferences for more accurate next POI prediction. CLSPRec adopts a masking strategy in long-term sequences to enhance model robustness and further strengthens user representation through short-term sequences. Extensive experiments on three real-world datasets validate the superiority of our model. Our code is publicly available at https://github.com/Wonderdch/CLSPRec.

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Cited By

Rao XJiang RShang SChen LHan PYao BKalnis P(2025)Next Point-of-Interest Recommendation With Adaptive Graph Contrastive LearningIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.350948037:3(1366-1379)Online publication date: Mar-2025
https://doi.org/10.1109/TKDE.2024.3509480
Zhang YWang BZhang QZhu SMa Y(2025)Hypergraph User Embeddings and Session Contrastive Learning for POI RecommendationIEEE Access10.1109/ACCESS.2025.353139413(17983-17995)Online publication date: 2025
https://doi.org/10.1109/ACCESS.2025.3531394
Duan SOuyang MWang RLi QXiao Y(2025)Let long-term interests talk: An disentangled learning model for recommendation based on short-term interests generationInformation Processing & Management10.1016/j.ipm.2024.10399762:2(103997)Online publication date: Mar-2025
https://doi.org/10.1016/j.ipm.2024.103997
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Index Terms

CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Recommender systems
  2. Information systems applications
    1. Spatial-temporal systems
      1. Location based services

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cover image ACM Conferences

CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

October 2023

5508 pages

ISBN:9798400701245

DOI:10.1145/3583780

General Chairs:
Ingo Frommholz
University of Wolverhampton, UK
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University of Birmingham, UK
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Spotify, UK
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Tsinghua University, China
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Federal University of Minas Gerais, Brazil

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Published: 21 October 2023

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October 21 - 25, 2023

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Cited By

Rao XJiang RShang SChen LHan PYao BKalnis P(2025)Next Point-of-Interest Recommendation With Adaptive Graph Contrastive LearningIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.350948037:3(1366-1379)Online publication date: Mar-2025
https://doi.org/10.1109/TKDE.2024.3509480
Zhang YWang BZhang QZhu SMa Y(2025)Hypergraph User Embeddings and Session Contrastive Learning for POI RecommendationIEEE Access10.1109/ACCESS.2025.353139413(17983-17995)Online publication date: 2025
https://doi.org/10.1109/ACCESS.2025.3531394
Duan SOuyang MWang RLi QXiao Y(2025)Let long-term interests talk: An disentangled learning model for recommendation based on short-term interests generationInformation Processing & Management10.1016/j.ipm.2024.10399762:2(103997)Online publication date: Mar-2025
https://doi.org/10.1016/j.ipm.2024.103997
Feng SMeng FChen LShang SOng YBaeza-Yates RBonchi F(2024)ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI RecommendationProceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3637528.3671809(759-770)Online publication date: 25-Aug-2024
https://dl.acm.org/doi/10.1145/3637528.3671809
Zhou HJia ZZhu HZhang ZHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)CLLP: Contrastive Learning Framework Based on Latent Preferences for Next POI RecommendationProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657730(1473-1482)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657730
Xiao YZhao WHuang YLi TLi Q(2024)A Joint Learning Recommendation Model for E-Commerce Platforms Integrating Long-Term and Short-Term InterestsIEEE Transactions on Services Computing10.1109/TSC.2024.337623217:4(1326-1339)Online publication date: Jul-2024
https://doi.org/10.1109/TSC.2024.3376232
Zuo CZhang XYan LZhang Z(2024)GUGEN: Global User Graph Enhanced Network for Next POI RecommendationIEEE Transactions on Mobile Computing10.1109/TMC.2024.345510723:12(14975-14986)Online publication date: Dec-2024
https://doi.org/10.1109/TMC.2024.3455107
Zhu YGuo W(2024)CLGENRec: Contrastive Learning and Graph Enhanced Network for Next POI Recommendation2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI)10.1109/ICETCI61221.2024.10594578(265-271)Online publication date: 24-May-2024
https://doi.org/10.1109/ICETCI61221.2024.10594578
Feiyu M(2024)CFPSG: Collaborative Filtering Poi Similarity Graph Enhanced Retentive Network for Next Poi Recommendation2024 21st International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)10.1109/ICCWAMTIP64812.2024.10873797(1-4)Online publication date: 14-Dec-2024
https://doi.org/10.1109/ICCWAMTIP64812.2024.10873797
Geqi F(2024)Incremental Multi-Feature Learning for Point-of-Interest Recommendation2024 21st International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)10.1109/ICCWAMTIP64812.2024.10873655(01-06)Online publication date: 14-Dec-2024
https://doi.org/10.1109/ICCWAMTIP64812.2024.10873655
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