【论文阅读】Next point-of-interest recommendation with auto-correlation enhanced
multi-modal transformer network
【论文阅读】Next point-of-interest recommendation with auto-correlation enhanced multi-modal transformer network
Metadata
authors:: Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
container:: Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval
year:: 2021
DOI:: 10.1145/3477495.3531905
rating:: ⭐⭐⭐⭐
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 recommendation with ...
【论文阅读】Empowering next POI recommendation with multi-relational modeling
【论文阅读】Empowering next POI recommendation with multi-relational modeling
Metadata
authors:: Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, Jundong Li
container:: Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval
year:: 2021
DOI:: 10.1145/3477495.3531801
rating:: ⭐⭐
share:: false
comment:: 强调用户之间的社交关系建模,使用耦合的 RNN 相互更新用户和 POI 表示
前言
2022 年 SIGIR, Empowering next POI recommendation with multi-relational modeling
问题描述
分别给定用户集合U={u ...
【论文阅读】Hierarchical multi-task graph recurrent network for next POI recommendation
【论文阅读】Hierarchical multi-task graph recurrent network for next POI recommendation
Metadata
authors:: Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan
container:: Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval
year:: 2021
DOI:: 10.1145/3477495.3531989
rating:: ⭐⭐⭐⭐
share:: false
comment:: 框架为 LSTM,在隐藏层加入全局时空信息,以多任务预测的形式同时预测 POI 以及 POI 所在区域,并通过区域对 POI 预测进行指导,建立层次结构预测 POI。
前言
SIGIR 2022:Hierarchical multi ...
【论文阅读】Learning Graph-based Disentangled Representations for Next POI Recommendation
【论文阅读】Learning Graph-based Disentangled Representations for Next POI Recommendation
Metadata
authors:: Zhaobo Wang, Yanmin Zhu, Haobing Liu, Chunyang Wang
container:: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
year:: 2022
DOI:: 10.1145/3477495.3532012
rating:: ⭐⭐⭐⭐
share:: false
comment:: 将 POI 分解为多个维度进行表示,利用 GCN 进行特征提取,采用多头注意力对各个分解维度进行处理
前言
2022 年 SIGIR:Learning Graph-based Disentangled Representations for Next POI Recommenda ...
【论文阅读】Curriculum Meta-Learning for Next POI Recommendation
【论文阅读】Curriculum Meta-Learning for Next POI Recommendation
Metadata
authors:: Yudong Chen, Xin Wang, Miao Fan, Jizhou Huang, Shengwen Yang, Wenwu Zhu
container:: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
year:: 2021
DOI:: 10.1145/3447548.3467132
rating:: ⭐⭐⭐
share:: false
comment:: 着眼于 POI 推荐的城市转移问题,使用元学习概念,并引入了困难度 Hardness 概念
前言
2021 年,KDD 会议 POI 推荐:Curriculum Meta-Learning for Next POI Recommendation
OverView
POI 推荐能够为不同城市的用户提供满意的服务,然而,可用的数据通常是稀缺的。 ...
【论文阅读】Location prediction over sparse user mobility traces using RNNs: Flashback in hidden states!
【论文阅读】Location prediction over sparse user mobility traces using RNNs: Flashback in hidden states!
Metadata
authors:: Dingqi Yang, Benjamin Fankhauser, Paolo Rosso, Philippe Cudre-Mauroux
container:: Proceedings of the twenty-ninth international joint conference on artificial intelligence, IJCAI-20
year:: 2020
DOI:: 10.24963/ijcai.2020/302
rating:: ⭐⭐⭐
share:: false
comment:: 模型主体框架为 RNN,在隐藏层更新过程中手动加入时空信息
前言
2020 年,IJCAI 论文:Location prediction over sparse user mobility traces using RNNs: Flashb ...
【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:: Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu
container:: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
year:: 2022
DOI:: 10.24963/ijcai.2022/521
rating:: ⭐⭐⭐
share:: false
comment:: 学习目标 POI 的左右上下文信息,将用户轨迹分为历史轨迹和当前轨迹,历史轨迹使用 Transformer 用以表示未来偏好,当前轨迹使用 LSTM 学习并进行多步预测,最后整合结果。
前言
2022 年 IJCAI 的一篇论文,POI 推荐:Next Point-of-Interest ...
【论文阅读】Graph-Flashback Network for Next Location Recommendation
【论文阅读】Graph-Flashback Network for Next Location Recommendation
Metadata
authors:: Xuan Rao, Lisi Chen, Yong Liu, Shuo Shang, Bin Yao, Peng Han
container:: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
year:: 2022
DOI:: 10.1145/3534678.3539383
rating:: ⭐⭐⭐⭐
share:: true
comment:: 构建 STKG 并设计相似度函数生成 POI 转移矩阵,利用 POI 转移矩阵对 POI 进行加强并获取用户偏好信息,模型主体框架为 RNN,同时在隐藏层更新过程中手动加入额外信息。另外几个相似度函数也是亮点。
前言
依旧是 POI 推荐方向的论文,2022KDD 最新的:Graph-Flashback Network for Next Location R ...
【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
authors:: Xiaolin Wang, Guohao Sun, Xiu Fang, Jian Yang, Shoujin Wang
container:: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
year:: 2022
DOI:: 10.24963/ijcai.2022/490
rating:: ⭐⭐⭐
share:: false
comment:: 强调用户偏好,通过构建 TKG 图,以时间片的形式聚合 K 个用户/场所的邻居信息并打分,以此作为抽象表示。亮点主要在于聚合用户/场所邻居的方法。
前言
刚出炉的 IJCAI 2022 的一篇论文:Modeling Spatio-temporal Neighbourhood for Pe ...
【论文阅读】STAN:Spatio-Temporal Attention Network for Next Location Recommendation
【论文阅读】STAN: Spatio-Temporal Attention Network for Next Location Recommendation
Metadata
authors:: Yingtao Luo, Qiang Liu, Zhaocheng Liu
container:: Proceedings of the Web Conference 2021
year:: 2021
DOI:: 10.1145/3442381.3449998
rating:: ⭐⭐⭐
share:: false
comment:: 通过双层Attention的方式,对Attention公式进行修改,聚合时间以及距离信息。通过线性插值代替 GPS 网格进行空间/时间离散化。
前言
仍然是 POI 推荐的一篇论文。
2021 年 WWW 上的一篇论文:STAN: Spatio-Temporal Attention Network for Next Location Recommendation
Overview
现有问题:
没有充分考虑非相邻位置和非相邻访问之间的相关性;
采用空间离散化分层 ...