N. F. Chikhi, B. Rothenburger, Nathalie Aussenac-Gilles
{"title":"Authoritative documents identification based on Nonnegative Matrix Factorization","authors":"N. F. Chikhi, B. Rothenburger, Nathalie Aussenac-Gilles","doi":"10.1109/IRI.2008.4583040","DOIUrl":null,"url":null,"abstract":"Current techniques for authoritative documents identification (ADI) suffer two main drawbacks. On the one hand, results of several ADI algorithms cannot be interpreted in a straightforward manner. This symptom is observed for instance in the HITS family algorithms. On the other hand, accuracy of some ADI algorithms is poor. For instance, PHITS overcomes the interpretability issue of HITS at the price of a low accuracy. In this paper, we propose a new ADI algorithm, namely NHITS, which experimentally outperforms both HITS and PHITS in terms of interpretability and accuracy.","PeriodicalId":169554,"journal":{"name":"2008 IEEE International Conference on Information Reuse and Integration","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Conference on Information Reuse and Integration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRI.2008.4583040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Current techniques for authoritative documents identification (ADI) suffer two main drawbacks. On the one hand, results of several ADI algorithms cannot be interpreted in a straightforward manner. This symptom is observed for instance in the HITS family algorithms. On the other hand, accuracy of some ADI algorithms is poor. For instance, PHITS overcomes the interpretability issue of HITS at the price of a low accuracy. In this paper, we propose a new ADI algorithm, namely NHITS, which experimentally outperforms both HITS and PHITS in terms of interpretability and accuracy.