{"title":"一种新的网页摘要方法","authors":"Q. Diao, Jiulong Shan","doi":"10.1145/1148170.1148294","DOIUrl":null,"url":null,"abstract":"In this paper, we present a novel multi-webpage summarization algorithm. It adds the graph based ranking algorithm into the framework of Maximum Marginal Relevance (MMR) method, to not only capture the main topic of the web pages but also eliminate the redundancy existing in the sentences of the summary result. The experiment result indicates that the new approach has the better performance than the previous methods.","PeriodicalId":433366,"journal":{"name":"Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"A new web page summarization method\",\"authors\":\"Q. Diao, Jiulong Shan\",\"doi\":\"10.1145/1148170.1148294\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a novel multi-webpage summarization algorithm. It adds the graph based ranking algorithm into the framework of Maximum Marginal Relevance (MMR) method, to not only capture the main topic of the web pages but also eliminate the redundancy existing in the sentences of the summary result. The experiment result indicates that the new approach has the better performance than the previous methods.\",\"PeriodicalId\":433366,\"journal\":{\"name\":\"Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1148170.1148294\",\"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 29th annual international ACM SIGIR conference on Research and development in information retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1148170.1148294","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we present a novel multi-webpage summarization algorithm. It adds the graph based ranking algorithm into the framework of Maximum Marginal Relevance (MMR) method, to not only capture the main topic of the web pages but also eliminate the redundancy existing in the sentences of the summary result. The experiment result indicates that the new approach has the better performance than the previous methods.
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