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  • 来自专栏后端技术

    【论文】What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation

    很多人关注了地理影响、社交关系、时空模式、文本内容信息,但却没关注图片本身包含的信息,尽管这已经被证明是很有用的。

    67220发布于 2019-06-25
  • 来自专栏EmoryHuang's Blog

    【论文阅读】DisenPOI Disentangling sequential and geographical influence for point-of-interest recommendat

    【论文阅读】DisenPOI: Disentangling sequential and geographical influence for point-of-interest recommendation ---- 前言 2023 年,WSDM 的一篇论文:DisenPOI: Disentangling sequential and geographical influence for point-of-interest 参考资料 [1] DisenPOI: Disentangling sequential and geographical influence for point-of-interest recommendation

    82110编辑于 2023-03-13
  • 来自专栏EmoryHuang's Blog

    【论文阅读】Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation

    【论文阅读】Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation Metadata ---- 前言 刚出炉的IJCAI 2022的一篇论文:Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest 参考资料 [1] Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation

    75010编辑于 2022-10-27
  • 来自专栏EmoryHuang's Blog

    【论文阅读】Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences

    【论文阅读】Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences Metadata authors ---- 前言 2022 年 IJCAI 的一篇论文,POI 推荐:Next Point-of-Interest Recommendation with Inferring Multi-step Future 参考资料 [1] Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences

    1.2K10编辑于 2022-10-27
  • 来自专栏EmoryHuang's Blog

    【论文阅读】Next point-of-interest recommendation with auto-correlation enhanced multi-modal transformer

    【论文阅读】Next point-of-interest recommendation with auto-correlation enhanced multi-modal transformer network ⭐⭐⭐⭐ share:: false comment:: 框架为 Transformer,计算序列自相关性,并考虑访问子序列,同时预测 POI 及其类别 前言 2022,SIGIR: Next point-of-interest 参考资料 [1] Next point-of-interest recommendation with auto-correlation enhanced multi-modal transformer

    91710编辑于 2022-10-28
  • 来自专栏EmoryHuang's Blog

    【论文阅读】ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation

    【论文阅读】ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation Metadata 分别学习长期和短期的用户行为模式,并通过 Attention 融合 前言 CIKM,2021:ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest 参考资料 [1] ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation

    62030编辑于 2022-10-28
  • 来自专栏AI算法札记

    SIGIR'22 推荐系统论文之POI篇

    鉴于[1] [2]已对推荐系统相关论文进行梳理,本文选择POI (Point-of-Interest)方向的论文进行解读。如果对该方向不了解,可以参考综述文章[3] [4]。 2.5 【short paper】Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer 参考文献 [1] SIGIR 2022 | 推荐系统相关论文分类整理 [2] SIGIR 2022 推荐系统论文整理分类 [3] A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations [4] Point-of-Interest Recommender Systems based on Location-Based Social Networks

    1K20编辑于 2022-08-02
  • 来自专栏机器学习与推荐算法

    IJCAI2022推荐系统论文集锦

    Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation Xiaolin Wang Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences Lu Zhang, Zhu Sun,

    1.2K30编辑于 2022-05-26
  • 来自专栏机器学习与推荐算法

    WWW2020推荐系统论文合集(已分类整理)

    Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation 6 POI RS Next Point-of-Interest

    1.2K10发布于 2020-05-08
  • 来自专栏EmoryHuang's Blog

    【论文阅读】DynaPosGNN:Dynamic-Positional GNN for Next POI Recommendation

    ---- 前言 随着基于位置的社交网络(Location-Based Social Network)的快速发展, 海量的签到数据被用于挖掘用户的行为模式以实现兴趣点(Point-of-Interest) 一般的,我们的任务是预测用户的下一个访问地点,即_next POI(Point-of-Interest) recommendation_。

    84310编辑于 2022-10-31
  • 来自专栏机器学习与推荐算法

    RSPapers | 基于隐私保护的推荐系统论文合集

    Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization.

    1.2K20发布于 2021-03-16
  • 来自专栏秋枫学习笔记

    WSDM 2023 推荐系统相关论文整理

    Problem【作为最大流量问题的校准化推荐】 【北大,美团】DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest

    3.9K10编辑于 2023-01-30
  • 来自专栏AI算法札记

    IJCAI'22 推荐系统论文梳理

    【IJCAI 2022】Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation 【IJCAI 2022】Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences 论文链接:未公开

    1.1K20编辑于 2022-08-02
  • 来自专栏机器学习与推荐算法

    论文周报 | 推荐系统领域最新研究进展,含RecSys, SIGIR, CIKM等顶会论文

    CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework, CIKM2023 7. CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework, CIKM2023 Ali Tourani, Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo https://arxiv.org/abs/2306.11395 Point-of-Interest (POI

    1.1K10编辑于 2023-08-22
  • 来自专栏机器学习与推荐算法

    CIKM2021推荐系统论文集锦

    Recommender System via Continuous-Time Modeling ST-PIL: Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest

    1K20发布于 2021-10-27
  • 来自专栏ATYUN订阅号

    普渡大学研究者使用AI从Wi-Fi数据中预测学生的位置,可用于个性化推荐

    普渡大学的研究人员发表了一篇论文“Exploring Student Check-In Behavior for Improved Point-of-Interest Prediction”,描述了使用

    79310发布于 2018-12-18
  • 来自专栏我爱计算机视觉

    CVPR 2019 | 今日新出14篇论文汇总(来自微软、商汤、腾讯、斯坦福等)

    arxiv.org/abs/1903.03911 www.kevinkaixu.net/shape2motion.html Multiview 2D/3D Rigid Registration via a Point-Of-Interest We propose to tackle the problem of multiview 2D/3D rigid registration for intervention via a Point-Of-Interest

    98421发布于 2019-12-27
  • 来自专栏时空探索之旅

    AI论文速读 | 2024[SIGIR] LLM4POI:基于大语言模型的下一个兴趣点(POI)推荐

    论文标题:Large Language Models for Next Point-of-Interest Recommendation 作者:Peibo Li(李沛博) ; Maarten de Rijke 2种POI推荐范式 A: 这篇论文试图解决的问题是如何有效地利用位置基社交网络(Location-based Social Network, LBSN)数据中的丰富上下文信息来提高下一个兴趣点(Point-of-Interest

    1.1K10编辑于 2024-11-19
  • 来自专栏时空探索之旅

    KDD 2024 | 时空数据(Spatio-temporal) Research论文总结

    A Study of Privacy Risk for Point-of-Interest Recommendation ROTAN: A Rotation-based Temporal Attention A Study of Privacy Risk for Point-of-Interest Recommendation ACM链接:https://dl.acm.org/doi/abs/10.1145

    1.5K10编辑于 2024-11-19
  • 来自专栏EmoryHuang's Blog

    【论文阅读】Geography-Aware Sequential Location Recommendation

    他的行动轨迹为 图片 ​,其中 图片 ,表示用户uuu在tit_iti​时刻到达位置为pip_ipi​的地点viv_ivi​,其中 图片 一般的,我们的任务是预测用户的下一个访问地点,即next POI(Point-of-Interest

    1.1K20编辑于 2022-10-31
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