{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:15:13Z","timestamp":1753884913983,"version":"3.41.2"},"reference-count":25,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T00:00:00Z","timestamp":1633910400000},"content-version":"vor","delay-in-days":283,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>Machine learning enables machines to learn rules from a large amount of data input from the outside world through algorithms, so as to identify and judge. It is the main task of the government to further emphasize the importance of improving the housing security mechanism, expand the proportion of affordable housing, increase financial investment, improve the construction quality of affordable housing, and ensure fair distribution. It can be seen that the legal system of housing security is essentially a system to solve the social problems brought by housing marketization, and it is an important part of the whole national housing system. More and more attention has been paid to solving the housing difficulties of low\u2010 and middle\u2010income people and establishing a housing security legal system suitable for China\u2019s national conditions and development stage. Aiming at the deep learning problem, a text matching algorithm suitable for the field of housing law and policy is proposed. Classifier based on matching algorithm is a promising classification technology. The research on the legal system of housing security is in the exploratory stage, involving various theoretical and practical research studies. Compare the improved depth learning algorithm with the general algorithm, so as to clearly understand the advantages and disadvantages of the improved depth learning algorithm and depth learning algorithm. This paper introduces the practical application of the deep learning model and fast learning algorithm in detail. Creatively put forward to transform it into an independent public law basis or into an independent savings system.<\/jats:p>","DOI":"10.1155\/2021\/3165600","type":"journal-article","created":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T22:16:30Z","timestamp":1633990590000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Research and Implementation of the Text Matching Algorithm in the Field of Housing Law and Policy Based on Deep Learning"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1592-2561","authenticated-orcid":false,"given":"Yin","family":"Xu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,10,11]]},"reference":[{"key":"e_1_2_9_1_2","first-page":"19","article-title":"Application of BERT-based semantic matching algorithm in question answering system","volume":"6","author":"Wu Y.","year":"2020","journal-title":"Instrumentation Technology"},{"key":"e_1_2_9_2_2","first-page":"89","article-title":"An improved string pattern matching algorithm","volume":"7","author":"Cai T.","year":"2017","journal-title":"Internet of Things Technology"},{"key":"e_1_2_9_3_2","first-page":"111","article-title":"Improvement of string matching algorithm Sunday","volume":"36","author":"Zhu N.","year":"2016","journal-title":"Journal of Xi\u2019an University of Science and Technology"},{"key":"e_1_2_9_4_2","first-page":"1755","article-title":"An efficient multi-pattern matching algorithm for PDF text content review","volume":"037","author":"Liu B.","year":"2020","journal-title":"Computer Application Research"},{"key":"e_1_2_9_5_2","first-page":"97","article-title":"An improved multi-pattern matching algorithm based on the Aho-Corasick algorithm","volume":"42","author":"Chen Y.","year":"2019","journal-title":"Modern Electronic Technology"},{"key":"e_1_2_9_6_2","first-page":"43","article-title":"The field construction of deep learning based on the integration of MOOC and flipped classroom","volume":"139","author":"Zeng M.","year":"2016","journal-title":"Modern Distance Education Research"},{"key":"e_1_2_9_7_2","first-page":"111","article-title":"Deep learning research based on subject literacy cultivation","volume":"037","author":"Kang S.","year":"2016","journal-title":"Educational Research"},{"key":"e_1_2_9_8_2","first-page":"834","article-title":"Application progress and prospects of deep learning in video target tracking","volume":"42","author":"Guan H.","year":"2016","journal-title":"Acta Automatica Sinica"},{"key":"e_1_2_9_9_2","first-page":"60","article-title":"Deep learning: the revival and transformation of multilayer neural networks","volume":"34","author":"Shan S.","year":"2016","journal-title":"Science and Technology Review"},{"key":"e_1_2_9_10_2","first-page":"147","article-title":"On the improvement of the economic law system for the regulation of China\u2019s real estate market-using German housing law regulation as a reference","volume":"288","author":"Qiao M. 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