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Approximation Algorithm for Hotlink Assignment in the Greedy Model

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Book cover Structural Information and Communication Complexity (SIROCCO 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3104))

Abstract

Link-based information structures such as the web can be enhanced through the addition of hotlinks. Assume that each node in the information structure is associated with a weight representing the access frequency of the node by users. In order to access a particular node, the user has to follow a path leading to it from the root node. By adding new hotlinks to the tree, it may be possible to reduce the access cost of the system, namely, the expected number of steps needed to reach a leaf from the root, assuming the user can decide which hotlinks to follow in each step. The hotlink assignment problem involves finding a set of hotlinks maximizing the gain in the expected cost. The paper addresses this problem in the more realistic greedy user model recently introduced in [3], and presents a polynomial time 2-approximation algorithm for the hotlink assignment problem on trees.

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References

  1. Bose, P., Czyzowicz, J., Gasieniec, L., Kranakis, E., Krizanc, D., Pelc, A., Martin, M.V.: Strategies for hotlink assignments. In: Proc. 11th Symp. on Algorithms and Computation, pp. 23–34 (2000)

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  2. Kranakis, E., Krizanc, D., Shende, S.: Approximating hotlink assignments. In: Proc. 12th Symp. on Algorithms and Computation, pp. 756–767 (2001)

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  3. Gerstel, O., Kutten, S., Matichin, R., Peleg, D.: Hotlink enhancement algorithms for web directories. In: Proc. 14th Symp. on Algorithms and Computation, pp. 68–77 (2003)

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  4. Matichin, R., Peleg, D.: Approximation algorithm for hotlink assignments in web directories. In: Proc. Workshop on Algorithms and Data Structures, pp. 271–280 (2003)

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  6. http://www.yahoo.com/

  7. http://www.dmoz.org/

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© 2004 Springer-Verlag Berlin Heidelberg

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Matichin, R., Peleg, D. (2004). Approximation Algorithm for Hotlink Assignment in the Greedy Model. In: Královic̆, R., Sýkora, O. (eds) Structural Information and Communication Complexity. SIROCCO 2004. Lecture Notes in Computer Science, vol 3104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27796-5_21

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  • DOI: https://doi.org/10.1007/978-3-540-27796-5_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22230-9

  • Online ISBN: 978-3-540-27796-5

  • eBook Packages: Springer Book Archive

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