{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T14:21:18Z","timestamp":1773325278487,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":17,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819570713","type":"print"},{"value":"9789819570720","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-7072-0_14","type":"book-chapter","created":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T00:08:59Z","timestamp":1773274139000},"page":"210-218","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["RALLM-POI: Retrieval-Augmented LLM for\u00a0Zero-Shot Next POI Recommendation with\u00a0Geographical Reranking"],"prefix":"10.1007","author":[{"given":"Kunrong","family":"Li","sequence":"first","affiliation":[]},{"given":"Kwan Hui","family":"Lim","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,4,1]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","unstructured":"Beneduce, C., Lepri, B., Luca, M.: Large language models are zero-shot next location predictors. IEEE Access (2025)","DOI":"10.1109\/ACCESS.2025.3565297"},{"key":"14_CR2","doi-asserted-by":"crossref","unstructured":"Duan, C., Fan, W., Zhou, W., Liu, H., Wen, J.: CLSPREC: contrastive learning of long and short-term preferences for next poi recommendation. In: CIKM, pp. 473\u2013482 (2023)","DOI":"10.1145\/3583780.3614813"},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Feng, S., Lyu, H., Li, F., Sun, Z., Chen, C.: Where to move next: zero-shot generalization of llms for next poi recommendation. In: CAI (2024)","DOI":"10.1109\/CAI59869.2024.00277"},{"issue":"6","key":"14_CR4","first-page":"1585","volume":"14","author":"L Huang","year":"2019","unstructured":"Huang, L., Ma, Y., Wang, S., Liu, Y.: An attention-based spatiotemporal LSTM network for next poi recommendation. ITSC 14(6), 1585\u20131597 (2019)","journal-title":"ITSC"},{"key":"14_CR5","unstructured":"Jayaram, V., Ramineni, V., Krishnappa, M.S.: Mitigating order sensitivity in large language models for multiple-choice question tasks. IJAIRD (2024)"},{"issue":"9","key":"14_CR6","doi-asserted-by":"publisher","first-page":"2231","DOI":"10.1016\/j.patcog.2010.09.022","volume":"44","author":"YS Jeong","year":"2011","unstructured":"Jeong, Y.S., Jeong, M.K., Omitaomu, O.A.: Weighted dynamic time warping for time series classification. Pattern Recogn. 44(9), 2231\u20132240 (2011)","journal-title":"Pattern Recogn."},{"key":"14_CR7","doi-asserted-by":"crossref","unstructured":"Li, K., Liu, X., Chen, Z.: Semantic consistency regularization with large language models for semi-supervised sentiment analysis. In: ICONIP, pp. 289\u2013303 (2024)","DOI":"10.1007\/978-981-96-6954-7_20"},{"key":"14_CR8","doi-asserted-by":"crossref","unstructured":"Li, P., de\u00a0Rijke, M., Xue, H., Ao, S., Song, Y., Salim, F.D.: Large language models for next point-of-interest recommendation. In: SIGIR, pp. 1463\u20131472 (2024)","DOI":"10.1145\/3626772.3657840"},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Liao, D., Liu, W., Zhong, Y., Li, J., Wang, G.: Predicting activity and location with multi-task context aware recurrent neural network. In: IJCAI (2018)","DOI":"10.24963\/ijcai.2018\/477"},{"key":"14_CR10","first-page":"1247","volume":"60","author":"KH Lim","year":"2019","unstructured":"Lim, K.H., Chan, J., Karunasekera, S., Leckie, C.: Tour recommendation and trip planning using location-based social media: a survey. KAIS 60, 1247\u20131275 (2019)","journal-title":"KAIS"},{"key":"14_CR11","doi-asserted-by":"crossref","unstructured":"Lin, Y., Wan, H., Guo, S., Lin, Y.: Pre-training context and time aware location embeddings from spatial-temporal trajectories for user next location prediction. In: AAAI, vol.\u00a035, pp. 4241\u20134248 (2021)","DOI":"10.1609\/aaai.v35i5.16548"},{"key":"14_CR12","unstructured":"Singh, A., Ehtesham, A., Kumar, S., Khoei, T.T.: Agentic retrieval-augmented generation: a survey on agentic rag. arXiv preprint arXiv:2501.09136 (2025)"},{"key":"14_CR13","unstructured":"Vaswani, A., et al.: Attention is all you need. In: NeurIPS, vol. 30 (2017)"},{"key":"14_CR14","doi-asserted-by":"publisher","unstructured":"Wang, T., Lai, Y., Wang, Y., Xiang, J.: DYAGL: a dynamic-aware adaptive graph learning network for next poi recommendation. In: Pacific Rim International Conference on Artificial Intelligence, pp. 361\u2013374. Springer (2024). https:\/\/doi.org\/10.1007\/978-981-96-0116-5_30","DOI":"10.1007\/978-981-96-0116-5_30"},{"key":"14_CR15","unstructured":"Wang, X., Fang, M., Zeng, Z., Cheng, T.: Where would i go next? Large language models as human mobility predictors. arXiv preprint arXiv:2308.15197 (2023)"},{"issue":"3","key":"14_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2814575","volume":"7","author":"D Yang","year":"2016","unstructured":"Yang, D., Zhang, D., Qu, B.: Participatory cultural mapping based on collective behavior data in location-based social networks. ACM Trans. Intell. Syst. Technol. (TIST) 7(3), 1\u201323 (2016)","journal-title":"ACM Trans. Intell. Syst. Technol. (TIST)"},{"key":"14_CR17","doi-asserted-by":"crossref","unstructured":"Zhang, L., Sun, Z., Wu, Z., Zhang, J., Ong, Y.S., Qu, X.: Next point-of-interest recommendation with inferring multi-step future preferences. In: IJCAI (2022)","DOI":"10.24963\/ijcai.2022\/521"}],"container-title":["Lecture Notes in Computer Science","PRICAI 2025: Trends in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-7072-0_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T00:09:01Z","timestamp":1773274141000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-7072-0_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819570713","9789819570720"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-7072-0_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"1 April 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific Rim International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wellington","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New Zealand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 November 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pricai2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.pricai.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}