{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T20:46:41Z","timestamp":1775594801793,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,13]]},"DOI":"10.1145\/3589334.3645449","type":"proceedings-article","created":{"date-parts":[[2024,5,8]],"date-time":"2024-05-08T07:08:13Z","timestamp":1715152093000},"page":"3454-3463","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4979-0608","authenticated-orcid":false,"given":"Yang","family":"Xu","sequence":"first","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4430-6373","authenticated-orcid":false,"given":"Gao","family":"Cong","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2993-7142","authenticated-orcid":false,"given":"Lei","family":"Zhu","sequence":"additional","affiliation":[{"name":"Tongji University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1854-9592","authenticated-orcid":false,"given":"Lizhen","family":"Cui","sequence":"additional","affiliation":[{"name":"Shandong University, Jinan, China"}]}],"member":"320","published-online":{"date-parts":[[2024,5,13]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/1577069.1755852"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"crossref","unstructured":"Xu Chen Hanxiong Chen Hongteng Xu Yongfeng Zhang Yixin Cao Zheng Qin and Hongyuan Zha. 2019. Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation. In SIGIR. 765--774.","DOI":"10.1145\/3331184.3331254"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"crossref","unstructured":"Yongjun Chen Zhiwei Liu Jia Li Julian J. McAuley and Caiming Xiong. 2022. Intent Contrastive Learning for Sequential Recommendation. In WWW. 2172--2182.","DOI":"10.1145\/3485447.3512090"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"crossref","unstructured":"Yudong Chen Xin Wang Miao Fan Jizhou Huang Shengwen Yang and Wenwu Zhu. 2021. Curriculum Meta-Learning for Next POI Recommendation. In KDD. 2692--2702.","DOI":"10.1145\/3447548.3467132"},{"key":"e_1_3_2_2_5_1","unstructured":"Chen Cheng Haiqin Yang Michael R. Lyu and Irwin King. 2013. Where You Like to Go Next: Successive Point-of-Interest Recommendation. In IJCAI. 2605--2611."},{"key":"e_1_3_2_2_6_1","first-page":"558","article-title":"Personalized POI Recommendation: Spatio-Temporal Representation Learning with Social Tie","volume":"12681","author":"Dai Shaojie","year":"2021","unstructured":"Shaojie Dai, Yanwei Yu, Hao Fan, and Junyu Dong. 2021. Personalized POI Recommendation: Spatio-Temporal Representation Learning with Social Tie. In DASFAA, Vol. 12681. 558--574.","journal-title":"DASFAA"},{"key":"e_1_3_2_2_7_1","volume-title":"Yeow Meng Chee, and Quan Yuan","author":"Feng Shanshan","year":"2015","unstructured":"Shanshan Feng, Xutao Li, Yifeng Zeng, Gao Cong, Yeow Meng Chee, and Quan Yuan. 2015. Personalized Ranking Metric Embedding for Next New POI Recommendation. In IJCAI. 2069--2075."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.08.002"},{"key":"e_1_3_2_2_9_1","volume-title":"McAuley","author":"He Ruining","year":"2016","unstructured":"Ruining He and Julian J. McAuley. 2016. VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback. In AAAI. 144--150."},{"key":"e_1_3_2_2_10_1","volume-title":"Natasha Zhang Foutz, and Jundong Li","author":"Huang Zheng","year":"2022","unstructured":"Zheng Huang, Jing Ma, Yushun Dong, Natasha Zhang Foutz, and Jundong Li. 2022. Empowering Next POI Recommendation with Multi-Relational Modeling. In SIGIR. 2034--2038."},{"key":"e_1_3_2_2_11_1","volume-title":"McAuley","author":"Kang Wang-Cheng","year":"2018","unstructured":"Wang-Cheng Kang and Julian J. McAuley. 2018. Self-Attentive Sequential Recommendation. In ICDM. 197--206."},{"key":"e_1_3_2_2_12_1","volume-title":"Brubaker","author":"Kazemi Seyed Mehran","year":"2019","unstructured":"Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali, Janahan Ramanan, Jaspreet Sahota, Sanjay Thakur, Stella Wu, Cathal Smyth, Pascal Poupart, and Marcus A. Brubaker. 2019. Time2Vec: Learning a Vector Representation of Time. CoRR , Vol. abs\/1907.05321 (2019), 1--16."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"crossref","unstructured":"Alex Kendall Yarin Gal and Roberto Cipolla. 2018. Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics. In CVPR. 7482--7491.","DOI":"10.1109\/CVPR.2018.00781"},{"key":"e_1_3_2_2_14_1","volume-title":"Kipf and Max Welling","author":"Thomas","year":"2017","unstructured":"Thomas N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In ICLR. 1--14."},{"key":"e_1_3_2_2_15_1","first-page":"19730","article-title":"BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models","volume":"202","author":"Li Junnan","year":"2023","unstructured":"Junnan Li, Dongxu Li, Silvio Savarese, and Steven C. H. Hoi. 2023. BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models. In ICML, Vol. 202. 19730--19742.","journal-title":"ICML"},{"key":"e_1_3_2_2_16_1","volume-title":"Tuan-Anh Nguyen Pham, and Shonali Krishnaswamy","author":"Li Xutao","year":"2015","unstructured":"Xutao Li, Gao Cong, Xiaoli Li, Tuan-Anh Nguyen Pham, and Shonali Krishnaswamy. 2015. Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation. In SIGIR. 433--442."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"crossref","unstructured":"Defu Lian Yongji Wu Yong Ge Xing Xie and Enhong Chen. 2020. Geography-Aware Sequential Location Recommendation. In KDD. 2009--2019.","DOI":"10.1145\/3394486.3403252"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"crossref","unstructured":"Defu Lian Cong Zhao Xing Xie Guangzhong Sun Enhong Chen and Yong Rui. 2014. GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation. In SIGKDD. 831--840.","DOI":"10.1145\/2623330.2623638"},{"key":"e_1_3_2_2_19_1","volume-title":"Renrong Weng, and Rui Tan.","author":"Lim Nicholas","year":"2022","unstructured":"Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, and Rui Tan. 2022. Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation. In SIGIR. 1133--1143."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"crossref","unstructured":"Yan Lin Huaiyu Wan Shengnan Guo and Youfang Lin. 2021. Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction. In AAAI. 4241--4248.","DOI":"10.1609\/aaai.v35i5.16548"},{"key":"e_1_3_2_2_21_1","volume-title":"Guandong Xu, Kai Zheng, and Hongzhi Yin.","author":"Long Jing","year":"2023","unstructured":"Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, and Hongzhi Yin. 2023. Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. In SIGIR. 423--432."},{"key":"e_1_3_2_2_22_1","volume-title":"STAN: Spatio-Temporal Attention Network for Next Location Recommendation. In WWW. 2177--2185.","author":"Luo Yingtao","year":"2021","unstructured":"Yingtao Luo, Qiang Liu, and Zhaocheng Liu. 2021. STAN: Spatio-Temporal Attention Network for Next Location Recommendation. In WWW. 2177--2185."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"crossref","unstructured":"Yifang Qin Yifan Wang Fang Sun Wei Ju Xuyang Hou Zhe Wang Jia Cheng Jun Lei and Ming Zhang. 2023. DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation. In WSDM. 508--516.","DOI":"10.1145\/3539597.3570408"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"crossref","unstructured":"Xuan Rao Lisi Chen Yong Liu Shuo Shang Bin Yao and Peng Han. 2022. Graph-Flashback Network for Next Location Recommendation. In KDD. 1463--1471.","DOI":"10.1145\/3534678.3539383"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"crossref","unstructured":"Nils Reimers and Iryna Gurevych. 2019. Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks. In EMNLP. 1--11.","DOI":"10.18653\/v1\/D19-1410"},{"key":"e_1_3_2_2_26_1","first-page":"1","article-title":"Leveraging social influence based on users activity centers for point-of-interest recommendation","volume":"59","author":"Seyedhoseinzadeh Kosar","year":"2022","unstructured":"Kosar Seyedhoseinzadeh, Hossein A. Rahmani, Mohsen Afsharchi, and Mohammad Aliannejadi. 2022. Leveraging social influence based on users activity centers for point-of-interest recommendation. IPM, Vol. 59, 2 (2022), 1--15.","journal-title":"IPM"},{"key":"e_1_3_2_2_27_1","volume-title":"Quoc Viet Hung Nguyen, and Hongzhi Yin","author":"Sun Ke","year":"2020","unstructured":"Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, and Hongzhi Yin. 2020. Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. In AAAI. 214--221."},{"key":"e_1_3_2_2_28_1","volume-title":"Self-supervised Learning for Multimedia Recommendation. TMM","author":"Tao Zhulin","year":"2022","unstructured":"Zhulin Tao, Xiaohao Liu, Yewei Xia, Xiang Wang, Lifang Yang, Xianglin Huang, and Tat-Seng Chua. 2022. Self-supervised Learning for Multimedia Recommendation. TMM (2022), 1--10."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"crossref","unstructured":"En Wang Yiheng Jiang Yuanbo Xu Liang Wang and Yongjian Yang. 2022a. Spatial-Temporal Interval Aware Sequential POI Recommendation. In ICDE. 2086--2098.","DOI":"10.1109\/ICDE53745.2022.00202"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"crossref","unstructured":"Xinfeng Wang Fumiyo Fukumoto Jin Cui Yoshimi Suzuki Jiyi Li and Dongjin Yu. 2023 a. EEDN: Enhanced Encoder-Decoder Network with Local and Global Context Learning for POI Recommendation. In SIGIR. 383--392.","DOI":"10.1145\/3539618.3591678"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"crossref","unstructured":"Xiaolin Wang Guohao Sun Xiu Fang Jian Yang and Shoujin Wang. 2022b. Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation. In IJCAI. 3530--3536.","DOI":"10.24963\/ijcai.2022\/490"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"crossref","unstructured":"Zhaobo Wang Yanmin Zhu Chunyang Wang Wenze Ma Bo Li and Jiadi Yu. 2023 b. Adaptive Graph Representation Learning for Next POI Recommendation. In SIGIR. 393--402.","DOI":"10.1145\/3539618.3591634"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"crossref","unstructured":"Wei Wei Chao Huang Lianghao Xia and Chuxu Zhang. 2023. Multi-Modal Self-Supervised Learning for Recommendation. In WWW. 790--800.","DOI":"10.1145\/3543507.3583206"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"crossref","unstructured":"Yinwei Wei Xiang Wang Liqiang Nie Xiangnan He and Tat-Seng Chua. 2020. Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. In MM. 3541--3549.","DOI":"10.1145\/3394171.3413556"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351034"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3002531"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"crossref","unstructured":"Yang Xu Lei Zhu Zhiyong Cheng Jingjing Li and Jiande Sun. 2020. Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation. In AAAI. 270--278.","DOI":"10.1609\/aaai.v34i01.5360"},{"key":"e_1_3_2_2_38_1","first-page":"741","article-title":"Multi-Modal Discrete Collaborative Filtering for Efficient Cold-Start Recommendation","volume":"35","author":"Xu Yang","year":"2023","unstructured":"Yang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Zheng Zhang, and Huaxiang Zhang. 2023. Multi-Modal Discrete Collaborative Filtering for Efficient Cold-Start Recommendation. TKDE, Vol. 35, 1 (2023), 741--755.","journal-title":"TKDE"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"crossref","unstructured":"Xiaodong Yan Tengwei Song Yifeng Jiao Jianshan He Jiaotuan Wang Ruopeng Li and Wei Chu. 2023. Spatio-Temporal Hypergraph Learning for Next POI Recommendation. In SIGIR. 403--412.","DOI":"10.1145\/3539618.3591770"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"crossref","unstructured":"Song Yang Jiamou Liu and Kaiqi Zhao. 2022. GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation. In SIGIR. 1144--1153.","DOI":"10.1145\/3477495.3531983"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"crossref","unstructured":"Feiyu Yin Yong Liu Zhiqi Shen Lisi Chen Shuo Shang and Peng Han. 2023. Next POI Recommendation with Dynamic Graph and Explicit Dependency. In AAAI. 4827--4834.","DOI":"10.1609\/aaai.v37i4.25608"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"crossref","unstructured":"Fuqiang Yu Lizhen Cui Wei Guo Xudong Lu Qingzhong Li and Hua Lu. 2020. A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data. In WWW. 1264--1274.","DOI":"10.1145\/3366423.3380202"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"crossref","unstructured":"Quan Yuan Gao Cong Zongyang Ma Aixin Sun and Nadia Magnenat Thalmann. 2013. Time-aware point-of-interest recommendation. In SIGIR. 363--372.","DOI":"10.1145\/2484028.2484030"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"crossref","unstructured":"Jinghao Zhang Yanqiao Zhu Qiang Liu Shu Wu Shuhui Wang and Liang Wang. 2021. Mining Latent Structures for Multimedia Recommendation. In MM. 3872--3880.","DOI":"10.1145\/3474085.3475259"},{"key":"e_1_3_2_2_45_1","volume-title":"Yew Soon Ong, and Xinghua Qu","author":"Zhang Lu","year":"2022","unstructured":"Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, and Xinghua Qu. 2022. Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences. In IJCAI. 3751--3757."},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"crossref","unstructured":"Xiao Zhang Ziming Ye Jianfeng Lu Fuzhen Zhuang Yanwei Zheng and Dongxiao Yu. 2023. Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity. In SIGIR. 413--422.","DOI":"10.1145\/3539618.3591688"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"crossref","unstructured":"Xin Zhou Hongyu Zhou Yong Liu Zhiwei Zeng Chunyan Miao Pengwei Wang Yuan You and Feijun Jiang. 2023. Bootstrap Latent Representations for Multi-modal Recommendation. In WWW. 845--854. io","DOI":"10.1145\/3543507.3583251"}],"event":{"name":"WWW '24: The ACM Web Conference 2024","location":"Singapore Singapore","acronym":"WWW '24","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2024"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589334.3645449","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3589334.3645449","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:31:07Z","timestamp":1755822667000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589334.3645449"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,13]]},"references-count":47,"alternative-id":["10.1145\/3589334.3645449","10.1145\/3589334"],"URL":"https:\/\/doi.org\/10.1145\/3589334.3645449","relation":{},"subject":[],"published":{"date-parts":[[2024,5,13]]},"assertion":[{"value":"2024-05-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}