{"title":"下一站推荐","authors":"B. Ripley, D. Liu, Maiga Chang, Kinshuk","doi":"10.1109/ICAwST.2013.6765420","DOIUrl":null,"url":null,"abstract":"User wandering behaviours may involve many location visits in different order. The research team has proposed an algorithm which can provide users recommendation for their next visit according to the similarity of their behaviours between each others and the connections amongst locations. In order to test the effectiveness of proposed algorithm the research team develops a mobile app - Next Stop Recommender - for Android platform. This paper focuses on the app itself and discusses the potential use of the app and the enhancement directions of the proposed algorithm.","PeriodicalId":68697,"journal":{"name":"炎黄地理","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Next Stop Recommender\",\"authors\":\"B. Ripley, D. Liu, Maiga Chang, Kinshuk\",\"doi\":\"10.1109/ICAwST.2013.6765420\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"User wandering behaviours may involve many location visits in different order. The research team has proposed an algorithm which can provide users recommendation for their next visit according to the similarity of their behaviours between each others and the connections amongst locations. In order to test the effectiveness of proposed algorithm the research team develops a mobile app - Next Stop Recommender - for Android platform. This paper focuses on the app itself and discusses the potential use of the app and the enhancement directions of the proposed algorithm.\",\"PeriodicalId\":68697,\"journal\":{\"name\":\"炎黄地理\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"炎黄地理\",\"FirstCategoryId\":\"1089\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAwST.2013.6765420\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"炎黄地理","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.1109/ICAwST.2013.6765420","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
User wandering behaviours may involve many location visits in different order. The research team has proposed an algorithm which can provide users recommendation for their next visit according to the similarity of their behaviours between each others and the connections amongst locations. In order to test the effectiveness of proposed algorithm the research team develops a mobile app - Next Stop Recommender - for Android platform. This paper focuses on the app itself and discusses the potential use of the app and the enhancement directions of the proposed algorithm.
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