Title
Non-textual document ranking using crawler information and web usage mining
Abstract
Document ranking creation has a big impact on the whole IR system. The characteristics of the local rankings differ from the global rankings, because the local system can access information unavailable for the global search engines. The purpose of this paper is to discuss non-textual factors that may influence on a document's ranking position and to present a new method of document ranking calculation (RosaRanking) that can be useful for local search engines, recommendation systems etc.
Year
DOI
Venue
2005
10.1007/11552451_70
KES (2)
Keywords
Field
DocType
global ranking,crawler information,non-textual document ranking,global search engine,web usage mining,document ranking creation,ranking position,local system,whole ir system,big impact,local search engine,local ranking,document ranking calculation,local search,search engine,recommender system
Recommender system,World Wide Web,Web mining,Search engine,Information retrieval,Ranking,Computer science,Local system,Ranking (information retrieval),Local search (optimization),Web crawler
Conference
Volume
ISSN
ISBN
3682
0302-9743
3-540-28895-3
Citations 
PageRank 
References 
2
0.41
7
Authors
2
Name
Order
Citations
PageRank
Maciej Kiewra1466.14
Ngoc Thanh Nguyen21875184.23