Proceedings of the 13th international conference on World Wide Web
Trend detection through temporal link analysis
Journal of the American Society for Information Science and Technology - Special issue: Webometrics
BuzzRank … and the trend is your friend
Proceedings of the 15th international conference on World Wide Web
A probabilistic relevance propagation model for hypertext retrieval
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Can social bookmarking enhance search in the web?
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Link analysis using time series of web graphs
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Freshness matters: in flowers, food, and web authority
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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Traditional link-based web ranking algorithms run on a single web snapshot without concern of the dynamics of web pages and links. In particular, the correlation of web pages freshness and their classic PageRank is negative (see [11]). For this reason, in recent years a number of authors introduce some algorithms of PageRank actualization. We introduce our new algorithm called Actual PageRank, which generalizes some previous approaches and therefore provides better capability for capturing the dynamics of the Web. To the best of our knowledge we are the first to conduct ranking evaluations of a fresh-aware variation of PageRank on a large data set. The results demonstrate that our method achieves more relevant and fresh results than both classic PageRank and its "fresh" modifications.