{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T00:20:12Z","timestamp":1787617212764,"version":"build-2736575974"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,5,23]],"date-time":"2026-05-23T00:00:00Z","timestamp":1779494400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T00:00:00Z","timestamp":1787616000000},"content-version":"vor","delay-in-days":94,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Discov Artif Intell"],"DOI":"10.1007\/s44163-026-01309-w","type":"journal-article","created":{"date-parts":[[2026,5,23]],"date-time":"2026-05-23T13:25:02Z","timestamp":1779542702000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Market demand forecast and dynamic optimization of intangible cultural heritage creative products driven by reinforcement learning"],"prefix":"10.1007","volume":"6","author":[{"given":"Hang","family":"Yin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,5,23]]},"reference":[{"issue":"5","key":"1309_CR1","doi-asserted-by":"publisher","first-page":"793","DOI":"10.1080\/13642987.2020.1822821","volume":"25","author":"J Eichler","year":"2021","unstructured":"Eichler J. Intangible cultural heritage, inequalities and participation: who decides on heritage? Int J Hum Rights. 2021;25(5):793\u2013814. https:\/\/doi.org\/10.1080\/13642987.2020.1822821.","journal-title":"Int J Hum Rights"},{"issue":"9","key":"1309_CR2","doi-asserted-by":"publisher","first-page":"5245","DOI":"10.3390\/su13095245","volume":"13","author":"C Sun","year":"2021","unstructured":"Sun C, Chen H, Liao R. Research on incentive mechanisms and strategy choice for passing on intangible cultural heritage from masters to apprentices. Sustainability. 2021;13(9):5245. https:\/\/doi.org\/10.3390\/su13095245.","journal-title":"Sustainability"},{"key":"1309_CR3","doi-asserted-by":"publisher","first-page":"41","DOI":"10.55630\/dipp.2021.11.3","volume":"11","author":"Y Zhelev","year":"2021","unstructured":"Zhelev Y, Monova-Zheleva M, Stewart R. The digital future of intangible cultural heritage\u2013challenges and initiatives. Digit Present Preserv Cult Sci Herit. 2021;11:41\u201350. https:\/\/doi.org\/10.55630\/dipp.2021.11.3.","journal-title":"Digit Present Preserv Cult Sci Herit"},{"issue":"3","key":"1309_CR4","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1007\/s13412-021-00697-y","volume":"11","author":"G Akt\u00fcrk","year":"2021","unstructured":"Akt\u00fcrk G, Lerski M. Intangible cultural heritage: a benefit to climate-displaced and host communities. J Environ Stud Sci. 2021;11(3):305\u201315. https:\/\/doi.org\/10.1007\/s13412-021-00697-y.","journal-title":"J Environ Stud Sci"},{"issue":"4","key":"1309_CR5","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi10040240","volume":"10","author":"Q Qiu","year":"2021","unstructured":"Qiu Q, Zhang M. Using content analysis to probe the cognitive image of intangible cultural heritage tourism: an exploration of Chinese social media. ISPRS Int J Geo-Inf. 2021;10(4):240. https:\/\/doi.org\/10.3390\/ijgi10040240.","journal-title":"ISPRS Int J Geo-Inf"},{"issue":"1","key":"1309_CR6","doi-asserted-by":"publisher","first-page":"8411999","DOI":"10.1155\/2022\/8411999","volume":"2022","author":"L Xiao","year":"2022","unstructured":"Xiao L. Intangible cultural heritage reproduction and revitalization: value feedback, practice, and exploration based on the IPA model. Comput Intell Neurosci. 2022;2022(1):8411999. https:\/\/doi.org\/10.1155\/2022\/8411999.","journal-title":"Comput Intell Neurosci"},{"key":"1309_CR7","doi-asserted-by":"publisher","first-page":"42140","DOI":"10.1109\/ACCESS.2021.3065711","volume":"9","author":"Y Zhang","year":"2021","unstructured":"Zhang Y, Huang Y, Zhao X, Li J, Yin F, Wang L. Research on the influencing factors of kite culture inheritance based on an adversarial interpretive structure modeling method. IEEE Access. 2021;9:42140\u201350. https:\/\/doi.org\/10.1109\/ACCESS.2021.3065711.","journal-title":"IEEE Access"},{"issue":"11","key":"1309_CR8","doi-asserted-by":"publisher","DOI":"10.3390\/bs11110144","volume":"11","author":"E Mari","year":"2021","unstructured":"Mari E, Quaglieri A, Lausi G, Boccia M, Pizzo A, Baldi M, et al. Fostering the aesthetic pleasure: the effect of verbal description on aesthetic appreciation of ambiguous and unambiguous artworks. Behav Sci Basel. 2021;11(11):144. https:\/\/doi.org\/10.3390\/bs11110144.","journal-title":"Behav Sci Basel"},{"issue":"1","key":"1309_CR9","doi-asserted-by":"publisher","first-page":"6913046","DOI":"10.1155\/2022\/6913046","volume":"2022","author":"J Xie","year":"2022","unstructured":"Xie J. Innovative design of artificial intelligence in intangible cultural heritage. Sci Program. 2022;2022(1):6913046. https:\/\/doi.org\/10.1155\/2022\/6913046.","journal-title":"Sci Program"},{"issue":"7","key":"1309_CR10","doi-asserted-by":"publisher","DOI":"10.3390\/bs12070217","volume":"12","author":"Y Liu","year":"2022","unstructured":"Liu Y, Zhang J, Shen S, Lu K. More information, greater appreciation: the correlation between background information and aesthetic judgment of tourist crafts. Behav Sci Basel. 2022;12(7):217. https:\/\/doi.org\/10.3390\/bs12070217.","journal-title":"Behav Sci Basel"},{"issue":"13","key":"1309_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2024.e33787","volume":"10","author":"Z Zhao","year":"2024","unstructured":"Zhao Z, Garcia-Campayo J, Liang J, Pu R, Perez HM, Xue X, et al. The construction of urban cultural and creative industries using deep learning and information management. Heliyon. 2024;10(13):e33787. https:\/\/doi.org\/10.1016\/j.heliyon.2024.e33787.","journal-title":"Heliyon"},{"key":"1309_CR12","doi-asserted-by":"publisher","DOI":"10.1080\/13467581.2025.2517909","author":"Y Tao","year":"2025","unstructured":"Tao Y, Jiang Y, Huang M, Zhou K. Exploring visitor perception of Asian historic districts through deep learning and social media data. J Asian Archit Build Eng. 2025. https:\/\/doi.org\/10.1080\/13467581.2025.2517909.","journal-title":"J Asian Archit Build Eng"},{"issue":"9","key":"1309_CR13","doi-asserted-by":"publisher","DOI":"10.3390\/su16093602","volume":"16","author":"Y Li","year":"2024","unstructured":"Li Y, Qiu B. Using deep learning approaches to quantify landscape preference of the Chinese Grand Canal: an empirical case study of the Yangzhou Ancient Canal. Sustainability. 2024;16(9):3602. https:\/\/doi.org\/10.3390\/su16093602.","journal-title":"Sustainability"},{"issue":"1","key":"1309_CR14","doi-asserted-by":"publisher","DOI":"10.1038\/s40494-025-01979-2","volume":"13","author":"N Peng","year":"2025","unstructured":"Peng N, Chen Y, Wang L, Zhang C, Zhu Y. Cultural transmission ability of urban heritage along the Jiangsu section of the Beijing\u2013Hangzhou Grand Canal. npj Herit Sci. 2025;13(1):401. https:\/\/doi.org\/10.1038\/s40494-025-01979-2.","journal-title":"npj Herit Sci"},{"key":"1309_CR15","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-X-1-W1-2023-185-2023","author":"JA Gaber","year":"2023","unstructured":"Gaber JA, Youssef SM, Fathalla KM. The role of artificial intelligence and machine learning in preserving cultural heritage and artworks via virtual restoration. 2023. ISPRS Ann Photogramm Remote Sens Spat Inf Sci. https:\/\/doi.org\/10.5194\/isprs-annals-X-1-W1-2023-185-2023."},{"issue":"2","key":"1309_CR16","doi-asserted-by":"publisher","first-page":"346","DOI":"10.3390\/atmos14020346","volume":"14","author":"X Yang","year":"2023","unstructured":"Yang X, Zheng L, Chen Y, Feng J, Zheng J. Recognition of damage types of Chinese gray-brick ancient buildings based on machine learning\u2014taking the Macau World Heritage Buffer Zone as an example. Atmosphere. 2023;14(2):346. https:\/\/doi.org\/10.3390\/atmos14020346.","journal-title":"Atmosphere"},{"issue":"9","key":"1309_CR17","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi11090469","volume":"11","author":"N Bai","year":"2022","unstructured":"Bai N, Nourian P, Luo R, Pereira Roders A. Heri-graphs: a dataset creation framework for multi-modal machine learning on graphs of heritage values and attributes with social media. ISPRS Int J Geo-Inf. 2022;11(9):469. https:\/\/doi.org\/10.3390\/ijgi11090469.","journal-title":"ISPRS Int J Geo-Inf"},{"issue":"11","key":"1309_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2023.e22242","volume":"9","author":"Y Liu","year":"2023","unstructured":"Liu Y, Cheng P, Li J. Application interface design of Chongqing intangible cultural heritage based on deep learning. Heliyon. 2023;9(11):e22242. https:\/\/doi.org\/10.1016\/j.heliyon.2023.e22242.","journal-title":"Heliyon"},{"issue":"6","key":"1309_CR19","doi-asserted-by":"publisher","DOI":"10.3390\/systems11060289","volume":"11","author":"H Lv","year":"2023","unstructured":"Lv H, Ding N, Zhai Y, Du Y, Xie F. The system for extracting crime elements and predicting excavation-type heritage crimes based on deep learning models. Systems. 2023;11(6):289. https:\/\/doi.org\/10.3390\/systems11060289.","journal-title":"Systems"},{"issue":"23","key":"1309_CR20","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12234830","volume":"12","author":"X Cai","year":"2023","unstructured":"Cai X, Cheng P, Liu S, Zhang H, Sun H. Human motion prediction based on a multi-scale hypergraph for intangible cultural heritage dance videos. Electronics. 2023;12(23):4830. https:\/\/doi.org\/10.3390\/electronics12234830.","journal-title":"Electronics"},{"issue":"3","key":"1309_CR21","doi-asserted-by":"publisher","first-page":"163","DOI":"10.14358\/PERS.22-00118R2","volume":"89","author":"T Bakirman","year":"2023","unstructured":"Bakirman T, Kulavuz B, Bayram B. Use of artificial intelligence toward climate-neutral cultural heritage. Photogramm Eng Remote Sens. 2023;89(3):163\u201371. https:\/\/doi.org\/10.14358\/PERS.22-00118R2.","journal-title":"Photogramm Eng Remote Sens"},{"issue":"17","key":"1309_CR22","doi-asserted-by":"publisher","first-page":"13031","DOI":"10.3390\/su151713031","volume":"15","author":"A Bozkurt","year":"2023","unstructured":"Bozkurt A, \u015eeker F. Harmonizing heritage and artificial neural networks: the role of sustainable tourism in UNESCO world heritage sites. Sustainability. 2023;15(17):13031. https:\/\/doi.org\/10.3390\/su151713031.","journal-title":"Sustainability"},{"key":"1309_CR23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3486031","author":"Y Li","year":"2024","unstructured":"Li Y, Zhang Q. The analysis of aesthetic preferences for cultural and creative design trends under artificial intelligence. IEEE Access. 2024. https:\/\/doi.org\/10.1109\/ACCESS.2024.3486031.","journal-title":"IEEE Access"},{"issue":"1","key":"1309_CR24","doi-asserted-by":"publisher","DOI":"10.1007\/s44196-025-00857-w","volume":"18","author":"L Shi","year":"2025","unstructured":"Shi L, Yang X. Personalized recommendation algorithm for cultural and creative products based on fuzzy decision support system. Int J Comput Intell Syst. 2025;18(1):116. https:\/\/doi.org\/10.1007\/s44196-025-00857-w.","journal-title":"Int J Comput Intell Syst"},{"issue":"1","key":"1309_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.54216\/JAIM.080101","volume":"8","author":"M Ahmed","year":"2024","unstructured":"Ahmed M, Gamal M, Ismail I, El-Din HE. An AI-based system for predicting renewable energy power output using advanced optimization algorithms. J Artif Intell Metaheuristics. 2024;8(1):1\u20138. https:\/\/doi.org\/10.54216\/JAIM.080101.","journal-title":"J Artif Intell Metaheuristics"},{"issue":"1","key":"1309_CR26","doi-asserted-by":"publisher","first-page":"749","DOI":"10.32604\/cmc.2022.029605","volume":"73","author":"DS Khafaga","year":"2022","unstructured":"Khafaga DS, Alhussan AA, El-kenawy ESM, Takieldeen AE, Hassan TM, Hegazy EA, et al. Meta-heuristics for feature selection and classification in diagnostic breast cancer. Comput Mater Continua. 2022;73(1):749\u201365. https:\/\/doi.org\/10.32604\/cmc.2022.029605.","journal-title":"Comput Mater Continua"},{"issue":"1","key":"1309_CR27","doi-asserted-by":"publisher","first-page":"865","DOI":"10.32604\/cmc.2022.028550","volume":"73","author":"DS Khafaga","year":"2022","unstructured":"Khafaga DS, Alhussan AA, El-kenawy ESM, Ibrahim A, Abd Elkhalik SH, El-Mashad SY, et al. Improved prediction of metamaterial antenna bandwidth using adaptive optimization of LSTM. Comput Mater Contin. 2022;73(1):865\u201381. https:\/\/doi.org\/10.32604\/cmc.2022.028550.","journal-title":"Comput Mater Contin"},{"key":"1309_CR28","doi-asserted-by":"publisher","first-page":"106673","DOI":"10.1109\/ACCESS.2022.3212081","volume":"10","author":"N Khodadadi","year":"2022","unstructured":"Khodadadi N, Abualigah L, El-Kenawy ESM, Snasel V, Mirjalili S. An archive-based multi-objective arithmetic optimization algorithm for solving industrial engineering problems. IEEE Access. 2022;10:106673\u201398. https:\/\/doi.org\/10.1109\/ACCESS.2022.3212081.","journal-title":"IEEE Access"},{"key":"1309_CR29","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2021.018179","author":"AA Salamai","year":"2021","unstructured":"Salamai AA, El-kenawy ESM, Abdelhameed I. Dynamic voting classifier for risk identification in Supply Chain 4.0. Comput Mater Contin. 2021. https:\/\/doi.org\/10.32604\/cmc.2021.018179.","journal-title":"Comput Mater Contin"}],"container-title":["Discover Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s44163-026-01309-w","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44163-026-01309-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44163-026-01309-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T23:26:18Z","timestamp":1787613978000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s44163-026-01309-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,23]]},"references-count":29,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["1309"],"URL":"https:\/\/doi.org\/10.1007\/s44163-026-01309-w","relation":{"references":[{"id-type":"doi","id":"10.5194\/isprs-annals-X-1-W1-2023-185-2023","asserted-by":"subject"}]},"ISSN":["2731-0809"],"issn-type":[{"value":"2731-0809","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,23]]},"assertion":[{"value":"10 November 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 April 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 May 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Not applicable.","order":1,"name":"Ethics","label":"Ethics approval","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","label":"Consent to participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":3,"name":"Ethics","label":"Consent for publication","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}}],"article-number":"897"}}