{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,11,26]],"date-time":"2022-11-26T06:05:58Z","timestamp":1669442758904},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683560","type":"print"},{"value":"9781643683577","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,11,24]],"date-time":"2022-11-24T00:00:00Z","timestamp":1669248000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,11,24]]},"abstract":"<jats:p>This article presents an intelligent system that can create personalized tours in Tokyo for individual travelers. Such a system provides tourist spots selection and recommends tour plan according to user\u2019s preference. Using six designed features reflecting tourist spots\u2019 characteristics as well as user\u2019s interests, tourist spots are selected based on matching degree of the feature vectors of related spots and that of user\u2019s pre-input interests. Given user\u2019s starting point, an optimal tour schedule is then proposed considering necessary transportation and moving time, opening-hours, and sightseeing time needed. The system is designed to be user-friendly and interactive, allowing user to make unlimited adjustments directly on system proposed tour plan, and offering emergency help in the event of injury, illness, or unexpected tour changes.<\/jats:p>","DOI":"10.3233\/faia220430","type":"book-chapter","created":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T09:26:54Z","timestamp":1669368414000},"source":"Crossref","is-referenced-by-count":0,"title":["An Intelligent System for Safe and Satisfactory Individual Travel Tours in Tokyo"],"prefix":"10.3233","author":[{"given":"Yuto","family":"Maejima","sequence":"first","affiliation":[{"name":"Graduate School of Science and Technology, Meiji University, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hayato","family":"Horanai","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Technology, Meiji University, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liya","family":"Ding","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Technology, Meiji University, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Machine Learning and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220430","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T09:26:55Z","timestamp":1669368415000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220430"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,24]]},"ISBN":["9781643683560","9781643683577"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220430","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,24]]}}}