Computing Personalized PageRank Based on Temporal-Biased Proximity

@inproceedings{Manaskasemsak2013ComputingPP,
  title={Computing Personalized PageRank Based on Temporal-Biased Proximity},
  author={Bundit Manaskasemsak and Pramote Teerasetmanakul and Kankamol Tongtip and Athasit Surarerks and Arnon Rungsawang},
  booktitle={ITCS},
  year={2013}
}
Dynamic behaviors of World Wide Web is one of the most important characteristics that challenge search engine administrators to manipulate their search collection. Web content and links are changed each day to provide up-to-date information. In addition, a fresh web page, like new news article, is often more interesting to web users than a stale one. Thus, an analysis of temporal activities of the Web can contribute to improve better search and result ranking. In this paper, we propose a web… CONTINUE READING

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