{"title":"基于运动记录的路径推荐算法研究与实现","authors":"Qiuyuan Luo, Linfa Lu, Guifeng Zheng, Jinlu Xue","doi":"10.1109/ICDH.2018.00049","DOIUrl":null,"url":null,"abstract":"The recommended algorithm is widely used in the path recommendation. In this paper, the exercise path recommendation algorithm is reported. The main factors considering in the exercise path recommendation include the frequency of path selection, starting point and ending point of exercise and the moving object. Compared with other algorithms, our path recommendation algorithm is low computation cost, and some personal factors are considered in the recommendation algorithm, the recommended path is most suitable for the individual requirement.","PeriodicalId":117854,"journal":{"name":"2018 7th International Conference on Digital Home (ICDH)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research and Implementation of Path Recommendation Algorithm Based on Exercise Record\",\"authors\":\"Qiuyuan Luo, Linfa Lu, Guifeng Zheng, Jinlu Xue\",\"doi\":\"10.1109/ICDH.2018.00049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The recommended algorithm is widely used in the path recommendation. In this paper, the exercise path recommendation algorithm is reported. The main factors considering in the exercise path recommendation include the frequency of path selection, starting point and ending point of exercise and the moving object. Compared with other algorithms, our path recommendation algorithm is low computation cost, and some personal factors are considered in the recommendation algorithm, the recommended path is most suitable for the individual requirement.\",\"PeriodicalId\":117854,\"journal\":{\"name\":\"2018 7th International Conference on Digital Home (ICDH)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 7th International Conference on Digital Home (ICDH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDH.2018.00049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 7th International Conference on Digital Home (ICDH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDH.2018.00049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research and Implementation of Path Recommendation Algorithm Based on Exercise Record
The recommended algorithm is widely used in the path recommendation. In this paper, the exercise path recommendation algorithm is reported. The main factors considering in the exercise path recommendation include the frequency of path selection, starting point and ending point of exercise and the moving object. Compared with other algorithms, our path recommendation algorithm is low computation cost, and some personal factors are considered in the recommendation algorithm, the recommended path is most suitable for the individual requirement.