{"title":"协同过滤为基础的现场推荐无缝提供在主场和客场地区","authors":"Takafumi Hasegawa, Takahiro Hayashi","doi":"10.1109/ICIS.2013.6607896","DOIUrl":null,"url":null,"abstract":"This paper proposes a collaborative filtering based spot recommendation system seamlessly available in user's home areas and away areas. The system recommends spots to a user which are highly evaluated by other users whose preference in spot genre selection is similar to the user's one and whose home areas cover the user's current location. As an application of the proposed system, we have implemented a restaurant recommendation system. Experimental results have shown that the superiority of the proposed system to an existing spot recommendation system.","PeriodicalId":345020,"journal":{"name":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Collaborative filtering based spot recommendation seamlessly available in home and away areas\",\"authors\":\"Takafumi Hasegawa, Takahiro Hayashi\",\"doi\":\"10.1109/ICIS.2013.6607896\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a collaborative filtering based spot recommendation system seamlessly available in user's home areas and away areas. The system recommends spots to a user which are highly evaluated by other users whose preference in spot genre selection is similar to the user's one and whose home areas cover the user's current location. As an application of the proposed system, we have implemented a restaurant recommendation system. Experimental results have shown that the superiority of the proposed system to an existing spot recommendation system.\",\"PeriodicalId\":345020,\"journal\":{\"name\":\"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIS.2013.6607896\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2013.6607896","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Collaborative filtering based spot recommendation seamlessly available in home and away areas
This paper proposes a collaborative filtering based spot recommendation system seamlessly available in user's home areas and away areas. The system recommends spots to a user which are highly evaluated by other users whose preference in spot genre selection is similar to the user's one and whose home areas cover the user's current location. As an application of the proposed system, we have implemented a restaurant recommendation system. Experimental results have shown that the superiority of the proposed system to an existing spot recommendation system.