Baoyao Zhou, Jinlin Chen, Jin Shi, HongJiang Zhang, Qiufeng Wu
{"title":"基于用户访问模式的网站链接结构评估与改进","authors":"Baoyao Zhou, Jinlin Chen, Jin Shi, HongJiang Zhang, Qiufeng Wu","doi":"10.1145/504216.504274","DOIUrl":null,"url":null,"abstract":"Link structure evaluation and improvement is a significant hard problem for Hypertext system. In this paper a novel approach for evaluating and improving website link structure based on User Visiting Patterns instead of complex semantic analysis is proposed. By optimizing and re-evaluating the link structure to increase the Average Connectivity, our approach can effectively improve website link structure. Experiments have shown satisfactory results.","PeriodicalId":420170,"journal":{"name":"Proceedings of the 12th ACM conference on Hypertext and Hypermedia","volume":"138 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"36","resultStr":"{\"title\":\"Website link structure evaluation and improvement based on user visiting patterns\",\"authors\":\"Baoyao Zhou, Jinlin Chen, Jin Shi, HongJiang Zhang, Qiufeng Wu\",\"doi\":\"10.1145/504216.504274\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Link structure evaluation and improvement is a significant hard problem for Hypertext system. In this paper a novel approach for evaluating and improving website link structure based on User Visiting Patterns instead of complex semantic analysis is proposed. By optimizing and re-evaluating the link structure to increase the Average Connectivity, our approach can effectively improve website link structure. Experiments have shown satisfactory results.\",\"PeriodicalId\":420170,\"journal\":{\"name\":\"Proceedings of the 12th ACM conference on Hypertext and Hypermedia\",\"volume\":\"138 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"36\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 12th ACM conference on Hypertext and Hypermedia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/504216.504274\",\"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 12th ACM conference on Hypertext and Hypermedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/504216.504274","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Website link structure evaluation and improvement based on user visiting patterns
Link structure evaluation and improvement is a significant hard problem for Hypertext system. In this paper a novel approach for evaluating and improving website link structure based on User Visiting Patterns instead of complex semantic analysis is proposed. By optimizing and re-evaluating the link structure to increase the Average Connectivity, our approach can effectively improve website link structure. Experiments have shown satisfactory results.
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