Name
Abstract | ||
|---|---|---|
Blogs have become one of most important parts of web but we do not have so efficient search engines for them. One reason is differences between regular web pages and blog pages and inefficiency of conventional web pages ranking algorithms for blogs ranking. There are some works in this field but users' behavioral features have not considered yet. In this paper we present a new blogs ranking algorithm called B2Rank based on these features. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/WI.2007.28 | Web Intelligence |
Keywords | Field | DocType |
atmosphere,computer science,voting,web pages,collaboration,internet,search engines,search engine | Learning to rank,World Wide Web,Information retrieval,Web page,Ranking,Voting,Computer science,Algorithm,Inefficiency,The Internet,Spamdexing | Conference |
ISBN | Citations | PageRank |
0-7695-3026-5 | 14 | 0.86 |
References | Authors | |
11 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammad A. Tayebi | 1 | 50 | 7.59 |
| S. Mehdi Hashemi | 2 | 190 | 19.69 |
| Ali Mohades | 3 | 140 | 26.04 |