Ranking Documents using Similarity-based PageRanks

被引：0
|
作者：
Hatakenaka, Shota [1 ]
Miura, Takao [1 ]
机构：
[1] Hosei Univ, Dept Elect & Elect Engn, Koganei, Tokyo 184, Japan
来源：
2011 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING (PACRIM) | 2011年
关键词：
Document Ranking; PageRank; Similarity; TF*IDF;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this investigation we propose a new ranking algorithm for documents based on popularity. Considering similarity as virtual links, we introduce structural aspects among documents. Then, by means of authoritative importance or popularity, we obtain ranking scheme based on PageRank algorithm. We discuss experimental results to examine the effectiveness and some applications.
引用
收藏
页码：19 / 24
页数：6
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