{"title":"买还是不买，这是个问题","authors":"Oren Etzioni","doi":"10.1145/2487575.2491129","DOIUrl":null,"url":null,"abstract":"Shopping can be decomposed into three basic questions: what, where, and when to buy? In this talk, I'll describe how we utilize advanced data-mining and text-mining techniques at Decide.com (and earlier at Farecast) to solve these problems for on-line shoppers. Our algorithms have predicted prices utilizing billions of data points, and ranked products based on millions of reviews.","PeriodicalId":20472,"journal":{"name":"Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"To buy or not to buy: that is the question\",\"authors\":\"Oren Etzioni\",\"doi\":\"10.1145/2487575.2491129\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Shopping can be decomposed into three basic questions: what, where, and when to buy? In this talk, I'll describe how we utilize advanced data-mining and text-mining techniques at Decide.com (and earlier at Farecast) to solve these problems for on-line shoppers. Our algorithms have predicted prices utilizing billions of data points, and ranked products based on millions of reviews.\",\"PeriodicalId\":20472,\"journal\":{\"name\":\"Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2487575.2491129\",\"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 19th ACM SIGKDD international conference on Knowledge discovery and data mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2487575.2491129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Shopping can be decomposed into three basic questions: what, where, and when to buy? In this talk, I'll describe how we utilize advanced data-mining and text-mining techniques at Decide.com (and earlier at Farecast) to solve these problems for on-line shoppers. Our algorithms have predicted prices utilizing billions of data points, and ranked products based on millions of reviews.
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