PROS: A Personalized Ranking Platform for Web Search

@inproceedings{Chirita2004PROSAP,
  title={PROS: A Personalized Ranking Platform for Web Search},
  author={Paul-Alexandru Chirita and Daniel Olmedilla and Wolfgang Nejdl},
  booktitle={AH},
  year={2004}
}
Current search engines rely on centralized page ranking algorithms which compute page rank values as single (global) values for each Web page. Recent work on topic-sensitive PageRank [6] and personalized PageRank [8] has explored how to extend PageRank values with personalization aspects. To achieve personalization, these algorithms need specific input: [8] for example needs a set of personalized hub pages with high PageRank to drive the computation. In this paper we show how to automate this… CONTINUE READING
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