{"title":"与王海峰博士的对话","authors":"Haifeng Wang","doi":"10.1145/2207243.2207264","DOIUrl":null,"url":null,"abstract":"My group mainly works on data mining applications in Internet products including the search engine. We study two types of data, Web data and user logs. First, the Web data includes different entities (e.g. websites and web pages), edges between entities (e.g. hyper links), and content (e.g. text and rich-media). Second, use logs contain various user behavior information produced by users when they are using the search engine or other Internet products. These two types of data have different properties, but are correlated and complementary. We build a complete view of the data, mine the most valuable knowledge from the data, and improve our various products, e.g. the Baidu search engine.","PeriodicalId":90050,"journal":{"name":"SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining","volume":"84 1","pages":"91"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A conversation with Dr. Haifeng Wang\",\"authors\":\"Haifeng Wang\",\"doi\":\"10.1145/2207243.2207264\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"My group mainly works on data mining applications in Internet products including the search engine. We study two types of data, Web data and user logs. First, the Web data includes different entities (e.g. websites and web pages), edges between entities (e.g. hyper links), and content (e.g. text and rich-media). Second, use logs contain various user behavior information produced by users when they are using the search engine or other Internet products. These two types of data have different properties, but are correlated and complementary. We build a complete view of the data, mine the most valuable knowledge from the data, and improve our various products, e.g. the Baidu search engine.\",\"PeriodicalId\":90050,\"journal\":{\"name\":\"SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining\",\"volume\":\"84 1\",\"pages\":\"91\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2207243.2207264\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGKDD explorations : newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2207243.2207264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
My group mainly works on data mining applications in Internet products including the search engine. We study two types of data, Web data and user logs. First, the Web data includes different entities (e.g. websites and web pages), edges between entities (e.g. hyper links), and content (e.g. text and rich-media). Second, use logs contain various user behavior information produced by users when they are using the search engine or other Internet products. These two types of data have different properties, but are correlated and complementary. We build a complete view of the data, mine the most valuable knowledge from the data, and improve our various products, e.g. the Baidu search engine.