{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T05:25:27Z","timestamp":1740115527434,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"abstract":"<jats:p>In recent years, with the rapid development of location based services (LBS) and the improvement of indoor localization technology, a large amount of valuable trajectory data can be collected in an effective manner. In this article, a probabilistic model for Point-Of-Interest (POI) recommendation in indoor space is proposed, which can automatically discover the category of stores and the interest of users, and then recommend the stores that users may be interested in. It facilitates local business. Comprehensive experiments on a real shopping mall trajectory data set is conducted. The result demonstrates that the recommendation system proposed achieves better performance than the state-of-the-art method.<\/jats:p>","DOI":"10.3233\/978-1-61499-927-0-216","type":"book-chapter","created":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T12:06:08Z","timestamp":1740053168000},"source":"Crossref","is-referenced-by-count":0,"title":["A Novel Model for POI Recommendation in Indoor Space"],"prefix":"10.3233","author":[{"family":"Ni Sheng","sequence":"additional","affiliation":[]},{"family":"Lin Chen","sequence":"additional","affiliation":[]},{"family":"Weng Yuyou","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Fuzzy Systems and Data Mining IV"],"original-title":[],"deposited":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T12:22:07Z","timestamp":1740054127000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-926-3&spage=216&doi=10.3233\/978-1-61499-927-0-216"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-927-0-216","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2018]]}}}