{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T10:04:32Z","timestamp":1766484272454,"version":"build-2065373602"},"reference-count":29,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2024,4,3]],"date-time":"2024-04-03T00:00:00Z","timestamp":1712102400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Project of Henan Provincial Natural Science Foundation Project","award":["242300420624","DNY2301","2016YFB0502300","SQ2021YFB3900025"],"award-info":[{"award-number":["242300420624","DNY2301","2016YFB0502300","SQ2021YFB3900025"]}]},{"name":"project of the Key Research Base of Region and Country of Sichuan Province, Center for Southeast Asian Economic and Culture Studies","award":["242300420624","DNY2301","2016YFB0502300","SQ2021YFB3900025"],"award-info":[{"award-number":["242300420624","DNY2301","2016YFB0502300","SQ2021YFB3900025"]}]},{"name":"National 13th Five-Year Plan Key R&amp;D Projects","award":["242300420624","DNY2301","2016YFB0502300","SQ2021YFB3900025"],"award-info":[{"award-number":["242300420624","DNY2301","2016YFB0502300","SQ2021YFB3900025"]}]},{"name":"National 14th Five-Year Plan Key R&amp;D Projects","award":["242300420624","DNY2301","2016YFB0502300","SQ2021YFB3900025"],"award-info":[{"award-number":["242300420624","DNY2301","2016YFB0502300","SQ2021YFB3900025"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>The commonly used POI route recommendation methods usually ignore the effects of tourists\u2019 interests and transportation geographical conditions, and so may not output the optimal results. To solve the problems, we propose a POI route recommendation model based on symmetrical Naive Bayes classification spatial accessibility (NBCSA) and an improved cockroach swarm optimization algorithm (ICSOA), aiming to recommend POI routes that satisfy tourists\u2019 interests and have the lowest travel costs under tourism transportation geographical conditions. Using the historical POIs visited by tourists as the training set, we construct an improved symmetrical Naive Bayes classification algorithm (NBCA), and the POIs in the destination city are divided into categories by tourists\u2019 preferences. Then we propose an improved NBCSA model to calculate the spatial accessibility field strength (SAFS) for each category\u2019s POIs. Based on the recommended POIs, we propose the ICSOA to recommend optimal POI routes. The experiment verifies that the proposed algorithm can effectively classify the POIs and recommend POIs that best match the tourists\u2019 interests and produce the lowest travel costs. Compared with the TCA and GDA method, the proposed algorithm can output the POI routes with lower travel costs and has higher algorithm execution efficiency. Among the output optimal routes, the proposed algorithm can reduce costs by 5.62% at the lowest and 52.25% at the highest.<\/jats:p>","DOI":"10.3390\/sym16040424","type":"journal-article","created":{"date-parts":[[2024,4,3]],"date-time":"2024-04-03T11:01:41Z","timestamp":1712142101000},"page":"424","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["POI Route Recommendation Model Based on Symmetrical Naive Bayes Classification Spatial Accessibility and Improved Cockroach Swarm Optimization Algorithm"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4493-2785","authenticated-orcid":false,"given":"Xiao","family":"Zhou","sequence":"first","affiliation":[{"name":"Institute of Culture and Tourism, Leshan Vocational and Technical College, Leshan 614000, China"},{"name":"Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China"},{"name":"Center for Southeast Asian Economic and Culture Studies, Chengdu Normal University, Chengdu 611130, China"}]},{"given":"Zheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1934-0609","authenticated-orcid":false,"given":"Xinjian","family":"Liang","sequence":"additional","affiliation":[{"name":"Center for Southeast Asian Economic and Culture Studies, Chengdu Normal University, Chengdu 611130, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4205-9812","authenticated-orcid":false,"given":"Mingzhan","family":"Su","sequence":"additional","affiliation":[{"name":"Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,4,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1268","DOI":"10.1108\/IMDS-10-2019-0584","article-title":"Research on power-law distribution of long-tail data and its application to tourism recommendation","volume":"121","author":"Chen","year":"2020","journal-title":"Ind. 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