TY - GEN
T1 - Topic-based computing model for web page popularity and website influence
AU - Gao, Song
AU - Miao, Yajie
AU - Yang, Liu
AU - Li, Chunping
PY - 2009
Y1 - 2009
N2 - We propose a novel algorithm called Popularity&InfluenceCalculator (PIC) to get the most popular web pages and influent websites under certain keywords. We assume that the influence of a website is composed of its own significance and the effects of its pages, while the popularity of a web page is related with the websites and all the other pages. After that, we design a novel algorithm which iteratively computes importance of both websites and web pages. The empirical results show that the PIC algorithm can rank the pages in famous websites and pages with descriptive facts higher. We also find out that those pages contain more popular contents, which is accordant with our previous description of popularity. Our system can help users to find the most important news first, under certain keywords.
AB - We propose a novel algorithm called Popularity&InfluenceCalculator (PIC) to get the most popular web pages and influent websites under certain keywords. We assume that the influence of a website is composed of its own significance and the effects of its pages, while the popularity of a web page is related with the websites and all the other pages. After that, we design a novel algorithm which iteratively computes importance of both websites and web pages. The empirical results show that the PIC algorithm can rank the pages in famous websites and pages with descriptive facts higher. We also find out that those pages contain more popular contents, which is accordant with our previous description of popularity. Our system can help users to find the most important news first, under certain keywords.
KW - Computing model
KW - Influence of websites
KW - Popularity of web pages
KW - Topic search
UR - http://www.scopus.com/inward/record.url?scp=78650454712&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-10439-8_22
DO - 10.1007/978-3-642-10439-8_22
M3 - Conference contribution
AN - SCOPUS:78650454712
SN - 364210438X
SN - 9783642104381
VL - 5866 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 210
EP - 219
BT - AI 2009: Advances in Artificial Intelligence - 22nd Australasian Joint Conference, Proceedings
T2 - 22nd Australasian Joint Conference on Artificial Intelligence, AI 2009
Y2 - 1 December 2009 through 1 December 2009
ER -