{"title":"基于图的探索建议","authors":"Marialena Kyriakidi, G. Koutrika, Y. Ioannidis","doi":"10.1145/3214708.3214713","DOIUrl":null,"url":null,"abstract":"Recommendations are an integral part of data exploration. Existing approaches, however, consider a limited model of recommendations. In this vision paper, we lay the ground for a graph-based approach for recommendations that allows significant flexibility in capturing both data and recommendations and process them efficiently. We determine the requirements of a desired solution and illustrate the overall idea with an example based on the Yelp dataset.","PeriodicalId":93360,"journal":{"name":"Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web. International Workshop on Exploratory Search in Databases and the Web (5th : 2018 : Houston, Tex.)","volume":"21 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recommendations for Explorations based on Graphs\",\"authors\":\"Marialena Kyriakidi, G. Koutrika, Y. Ioannidis\",\"doi\":\"10.1145/3214708.3214713\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recommendations are an integral part of data exploration. Existing approaches, however, consider a limited model of recommendations. In this vision paper, we lay the ground for a graph-based approach for recommendations that allows significant flexibility in capturing both data and recommendations and process them efficiently. We determine the requirements of a desired solution and illustrate the overall idea with an example based on the Yelp dataset.\",\"PeriodicalId\":93360,\"journal\":{\"name\":\"Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web. International Workshop on Exploratory Search in Databases and the Web (5th : 2018 : Houston, Tex.)\",\"volume\":\"21 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web. International Workshop on Exploratory Search in Databases and the Web (5th : 2018 : Houston, Tex.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3214708.3214713\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th International Workshop on Exploratory Search in Databases and the Web. International Workshop on Exploratory Search in Databases and the Web (5th : 2018 : Houston, Tex.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3214708.3214713","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recommendations are an integral part of data exploration. Existing approaches, however, consider a limited model of recommendations. In this vision paper, we lay the ground for a graph-based approach for recommendations that allows significant flexibility in capturing both data and recommendations and process them efficiently. We determine the requirements of a desired solution and illustrate the overall idea with an example based on the Yelp dataset.
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