{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T08:02:02Z","timestamp":1767340922802,"version":"3.48.0"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819541546"},{"type":"electronic","value":"9789819541553"}],"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\/978-981-95-4155-3_17","type":"book-chapter","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:59:42Z","timestamp":1767340782000},"page":"269-285","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Modeling Personalized Short-Term and\u00a0Periodic Long-Term Preferences for\u00a0Enhanced Next POI Recommendation"],"prefix":"10.1007","author":[{"given":"Mo","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaosong","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linlin","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingyang","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,3]]},"reference":[{"key":"17_CR1","doi-asserted-by":"crossref","unstructured":"Feng, J., Li, Y., Zhang, C., Sun, F., Meng, F., Guo, A., Jin, D.: Deepmove: predicting human mobility with attentional recurrent networks. In: The Web Conference, pp. 1459\u20131468 (2018)","DOI":"10.1145\/3178876.3186058"},{"key":"17_CR2","doi-asserted-by":"crossref","unstructured":"S\u00e1nchez, P., Bellog\u00edn, A.: Point-of-interest recommender systems based on location-based social networks: a survey from an experimental perspective. ACM Comput. Surv. 54(11s), 223:1\u2013223:37 (2022)","DOI":"10.1145\/3510409"},{"key":"17_CR3","doi-asserted-by":"crossref","unstructured":"Chen, J., Wu,J., Chen, J., Xin, X., Li, Y., He, X.: How graph convolutions amplify popularity bias for recommendation? Front. Comput. Sci.\u00a0(5), 185603 (2024)","DOI":"10.1007\/s11704-023-2655-2"},{"key":"17_CR4","doi-asserted-by":"crossref","unstructured":"Zhao, P., Zhu, H., Liu, Y., Xu, J., Li, Z., Zhuang, F., Sheng, V.S., Zhou, X.: Where to go next: a spatio-temporal gated network for next POI recommendation. In: AAAI, pp. 5877\u20135884 (2019)","DOI":"10.1609\/aaai.v33i01.33015877"},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Liu, Q., Wu, S., Wang, L., Tan, T.: Predicting the next location: a recurrent model with spatial and temporal contexts. In: AAAI, pp. 194\u2013200 (2016)","DOI":"10.1609\/aaai.v30i1.9971"},{"key":"17_CR6","doi-asserted-by":"crossref","unstructured":"Sun, K., Qian, T., Chen, T., Liang, Y., Nguyen, Q.V.H., Yin, H.: Where to go next: modeling long- and short-term user preferences for point-of-interest recommendation. In: AAAI, pp. 214\u2013221 (2020)","DOI":"10.1609\/aaai.v34i01.5353"},{"key":"17_CR7","doi-asserted-by":"crossref","unstructured":"Zhao, P., Luo, A., Liu, Y., Xu, J., Li, Z., Zhuang, F., Sheng, V.S., Zhou, X.: Where to go next: a spatio-temporal gated network for next POI recommendation. TKDE 34(5), 2512\u20132524 (2022)","DOI":"10.1109\/TKDE.2020.3007194"},{"key":"17_CR8","doi-asserted-by":"crossref","unstructured":"Zang, H., Han, D., Li, X., Wan, Z., Wang, M.: CHA: categorical hierarchy-based attention for next POI recommendation. ACM Trans. Inf. Syst. 40(1), 7:1\u20137:22 (2022)","DOI":"10.1145\/3464300"},{"key":"17_CR9","doi-asserted-by":"crossref","unstructured":"Luo, Y., Liu, Q., Liu, Z.: STAN: spatio-temporal attention network for next location recommendation. In: The Web Conference, pp. 2177\u20132185 (2021)","DOI":"10.1145\/3442381.3449998"},{"key":"17_CR10","doi-asserted-by":"crossref","unstructured":"Yang, S., Liu, J., Zhao, K.: Getnext: trajectory flow map enhanced transformer for next POI recommendation. In: SIGIR, pp. 1144\u20131153 (2022)","DOI":"10.1145\/3477495.3531983"},{"key":"17_CR11","doi-asserted-by":"crossref","unstructured":"Ou, J., Jin, H., Wang, X., Jiang, H., Wang, X., Zhou, C.: STA-TCN: spatial-temporal attention over temporal convolutional network for next point-of-interest recommendation. TKDD 17\u00a0(9), 124:1\u2013124:19 (2023)","DOI":"10.1145\/3596497"},{"key":"17_CR12","doi-asserted-by":"crossref","unstructured":"Wang, Y., Song, Y., Li, S., Cheng, C., Ju, W., Zhang, M., Wang, S.: Disencite: graph-based disentangled representation learning for context-specific citation generation. In: AAAI, pp. 11449\u201311458 (2022)","DOI":"10.1609\/aaai.v36i10.21397"},{"key":"17_CR13","doi-asserted-by":"crossref","unstructured":"Yan, X., Song, T., Jiao, Y., He, J., Wang, J., Li, R., Chu, W.: Spatio-temporal hypergraph learning for next POI recommendation. In: SIGIR, pp. 403\u2013412 (2023)","DOI":"10.1145\/3539618.3591770"},{"key":"17_CR14","doi-asserted-by":"crossref","unstructured":"Wang, Z., Zhu, Y., Wang, C., Ma, W., Li, B., Yu, J.: Adaptive graph representation learning for next POI recommendation. In: SIGIR, pp. 393\u2013402 (2023)","DOI":"10.1145\/3539618.3591634"},{"key":"17_CR15","doi-asserted-by":"crossref","unstructured":"He, X., He, W., Liu, Y., Lu, X., Xiao, Y., Liu, Y.: Imnext: irregular interval attention and multi-task learning for next POI recommendation. Knowl. Based Syst. 293, 111674 (2024)","DOI":"10.1016\/j.knosys.2024.111674"},{"key":"17_CR16","doi-asserted-by":"crossref","unstructured":"Kong, D., Wu, F.: HST-LSTM: a hierarchical spatial-temporal long-short term memory network for location prediction. In: IJCAI, pp. 2341\u20132347 (2018)","DOI":"10.24963\/ijcai.2018\/324"},{"key":"17_CR17","doi-asserted-by":"crossref","unstructured":"Cui, Q., Zhang, C., Zhang, Y., Wang, J., Cai, M.: ST-PIL: spatial-temporal periodic interest learning for next point-of-interest recommendation. In: CIKM, pp. 2960\u20132964 (2021)","DOI":"10.1145\/3459637.3482189"},{"key":"17_CR18","doi-asserted-by":"crossref","unstructured":"Wu, Y., Li, K., Zhao, G., Qian, X.: Personalized long- and short-term preference learning for next POI recommendation. TKDE 34(4), 1944\u20131957 (2022)","DOI":"10.1109\/TKDE.2020.3002531"},{"key":"17_CR19","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"},{"issue":"6","key":"17_CR20","doi-asserted-by":"publisher","first-page":"1585","DOI":"10.1109\/TSC.2019.2918310","volume":"14","author":"L Huang","year":"2021","unstructured":"Huang, L., Ma, Y., Wang, S., Liu, Y.: An attention-based spatiotemporal LSTM network for next POI recommendation. IEEE Trans. Serv. Comput. 14(6), 1585\u20131597 (2021)","journal-title":"IEEE Trans. Serv. Comput."},{"key":"17_CR21","doi-asserted-by":"crossref","unstructured":"Feng, S., Cong, G., An, B., Chee, Y.M.: Poi2vec: geographical latent representation for predicting future visitors. In: AAAI, pp. 102\u2013108 (2017)","DOI":"10.1609\/aaai.v31i1.10500"},{"key":"17_CR22","doi-asserted-by":"crossref","unstructured":"Zhang, X., Ye, Z., Lu, J., Zhuang, F., Zheng, Y., Yu, D.: Fine-grained preference-aware personalized federated POI recommendation with data sparsity. In: SIGIR, pp. 413\u2013422 (2023)","DOI":"10.1145\/3539618.3591688"},{"key":"17_CR23","unstructured":"Cheng, C., Yang, H., Lyu, M.R., King, I.: Where you like to go next: successive point-of-interest recommendation. In: IJCAI, pp. 2605\u20132611 (2013)"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-4155-3_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:59:46Z","timestamp":1767340786000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-4155-3_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819541546","9789819541553"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-4155-3_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"3 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","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":"26 May 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 May 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/dasfaa2025.github.io","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}