{"title":"个性化的特定领域搜索引擎","authors":"Lei Zhang, Yong Peng, Xiang-wu Meng, Jie Guo","doi":"10.1109/INDIN.2008.4618305","DOIUrl":null,"url":null,"abstract":"As web information expands, personalized vertical search engine plays a more and more important role in search industry. With ldquobeing the best in specialized personalization domain utilizationrdquo in mind, we develop personalized domain-specific search engine (114 PDSE, or 114). We introduce domain-specific effective and efficient Chinese segmentation based on multi-grading thesauruses as the base for industrial demand acquirement and index building, Next, as another key point of our paper, we present our methods of personalized search in domain utility, to differentiate the interests of terms in userpsilas each query based on domain interest profile which is acquired recurring to user-based collaborative filtering methods and statistics on queries. The reported experiments indicate that 114 PDSE holds the promise of supplying high match-degree search results in personalized domain utility well-pleasingly.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Personalized domain-specific search engine\",\"authors\":\"Lei Zhang, Yong Peng, Xiang-wu Meng, Jie Guo\",\"doi\":\"10.1109/INDIN.2008.4618305\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As web information expands, personalized vertical search engine plays a more and more important role in search industry. With ldquobeing the best in specialized personalization domain utilizationrdquo in mind, we develop personalized domain-specific search engine (114 PDSE, or 114). We introduce domain-specific effective and efficient Chinese segmentation based on multi-grading thesauruses as the base for industrial demand acquirement and index building, Next, as another key point of our paper, we present our methods of personalized search in domain utility, to differentiate the interests of terms in userpsilas each query based on domain interest profile which is acquired recurring to user-based collaborative filtering methods and statistics on queries. The reported experiments indicate that 114 PDSE holds the promise of supplying high match-degree search results in personalized domain utility well-pleasingly.\",\"PeriodicalId\":112553,\"journal\":{\"name\":\"2008 6th IEEE International Conference on Industrial Informatics\",\"volume\":\"120 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 6th IEEE International Conference on Industrial Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDIN.2008.4618305\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 6th IEEE International Conference on Industrial Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIN.2008.4618305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
As web information expands, personalized vertical search engine plays a more and more important role in search industry. With ldquobeing the best in specialized personalization domain utilizationrdquo in mind, we develop personalized domain-specific search engine (114 PDSE, or 114). We introduce domain-specific effective and efficient Chinese segmentation based on multi-grading thesauruses as the base for industrial demand acquirement and index building, Next, as another key point of our paper, we present our methods of personalized search in domain utility, to differentiate the interests of terms in userpsilas each query based on domain interest profile which is acquired recurring to user-based collaborative filtering methods and statistics on queries. The reported experiments indicate that 114 PDSE holds the promise of supplying high match-degree search results in personalized domain utility well-pleasingly.