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A Calculus for Personalized PageRank

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7912))

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Abstract

This paper proposes a calculus for computing personalized PageRank for complex categories given a precomputed set of primitive categories. This is a work in progress aiming at reduction of the necessary number of precomputed PageRanks for a set of (next to disjoint) categories.

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References

  1. Deng, H., Lyu, M.R., King, I.: A generalized Co-HITS algorithm and its application to bipartite graphs. In: Proc. of the 15th ACM SIGKDD International Conf. on Knowledge Discovery and Data Mining, KDD 2009, June 28-July 1, pp. 239–248. ACM, New York (2009)

    Chapter  Google Scholar 

  2. Geng, X., Liu, T.Y., Qin, T., Arnold, A., Li, H., Shum, H.Y.: Query dependent ranking using k-nearest neighbor. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008, pp. 115–122. ACM, New York (2008)

    Chapter  Google Scholar 

  3. Haveliwala, T., Kamvar, S., Jeh, G.: An analytical comparison of approaches to personalizing PageRank. Technical Report 2003-35, Stanford InfoLab (June 2003), http://ilpubs.stanford.edu:8090/596/

  4. Haveliwala, T.H.: Topic-sensitive PageRank: A context-sensitive ranking algorithm for web search. IEEE Trans. Knowl. Data Eng. 15(4), 784–796 (2003)

    Article  Google Scholar 

  5. Kleinberg, J.M.: Authoritative sources in a hyperlinked environment. J. ACM 46(5), 604–632 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  6. Langville, A.N.: An annotated bibliography of papers about Markov chains and information retrieval (2005), http://www.cofc.edu/~langvillea/bibtexpractice.pdf

  7. Langville, A.N., Meyer, C.D.: Google’s PageRank and Beyond: The Science of Search Engine Rankings. Princeton University Press (2006)

    Google Scholar 

  8. Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank citation ranking: Bringing order to the web. Technical Report 1999-66, Stanford InfoLab (November 1999), http://ilpubs.stanford.edu:8090/422/

  9. Ren, Y., Pan, J.Z., Zhao, Y.: Soundness preserving approximation for tbox reasoning in r. In: Grau, B.C., Horrocks, I., Motik, B., Sattler, U. (eds.) Description Logics. Proceedings of the 22nd International Workshop DL 2009, Oxford, UK, July 27-30. CEUR Workshop Proceedings, vol. 477, CEUR-WS.org (2009)

    Google Scholar 

  10. Richardson, M., Domingos, P.: The Intelligent Surfer: Probabilistic Combination of Link and Content Information in PageRank. In: Advances in Neural Information Processing Systems 14. MIT Press (2002), http://citeseer.ist.psu.edu/460350.html

  11. Zhang, L., Zhang, X., Shum, H.Y.: Qsrank: Query-sensitive hash code ranking for efficient ε-neighbor search. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2058–2065 (2012)

    Google Scholar 

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Kłopotek, M.A., Wierzchoń, S.T., Czerski, D., Ciesielski, K., Dramiński, M. (2013). A Calculus for Personalized PageRank. In: Kłopotek, M.A., Koronacki, J., Marciniak, M., Mykowiecka, A., Wierzchoń, S.T. (eds) Language Processing and Intelligent Information Systems. IIS 2013. Lecture Notes in Computer Science, vol 7912. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38634-3_24

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  • DOI: https://doi.org/10.1007/978-3-642-38634-3_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38633-6

  • Online ISBN: 978-3-642-38634-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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