User-based Document Ranking

被引：0

作者：

Kubek, Mario M. ^{[1
]}

Meesad, Phayung ^{[2
]}

Unger, Herwig ^{[1
]}

机构：

[1] Univ Hagen, Chair Commun Networks, Univ Str 27, Hagen, Germany

[2] King Mongkuts Univ Technol North Bangkok, Fac Informat Technol, 1518 Pracharat 1 Rd, Bangkok 10800, Thailand

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON COMMUNICATION AND INFORMATION PROCESSING (ICCIP 2017) | 2017年

关键词：

document ranking; document management; user access; librarian of the web;

D O I：

10.1145/3162957.3162966

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The ranking of web documents is the key to present really significant results of a keyword-based search at first to users. Standard methods do not consider any user feedback so far and usually need a tremendous computation performance. The presented new approach considers access to web documents as the sole evaluation criterion and ensures that frequently accessed pages are recognised, can be found fast and are presented at the beginning of a search session. Furthermore, its locally working algorithms have been conceived to be applied in fully decentralised search systems in which no global knowledge base is available for this purpose.

引用

页码：119 / 123

页数：5

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