The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Ranking the web frontier
Abstract
The celebrated PageRank algorithm has proved to be a very effective paradigm for ranking results of web search algorithms. In this paper we refine this basic paradigm to take into account several evolving prominent features of the web, and propose several algorithmic innovations. First, we analyze features of the rapidly growing "frontier" of the web, namely the part of the web that crawlers are unable to cover for one reason or another. We analyze the effect of these pages and find it to be significant. We suggest ways to improve the quality of ranking by modeling the growing presence of "link rot" on the web as more sites and pages fall out of maintenance. Finally we suggest new methods of ranking that are motivated by the hierarchical structure of the web, are more efficient than PageRank, and may be more resistant to direct manipulation.
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Cites
Haveliwala, T. H. (2002) · Proceedings of the 11th international conference on World Wide Web · doi:10.1145/511446.511513 · Cited by 1,567
Using PageRank to Characterize Web Structure
Pandurangan, G., Raghavan, P., & Upfal, E. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-45655-4_36 · Cited by 164
I/O-efficient techniques for computing pagerank
Chen, Y.-Y., Gan, Q., & Suel, T. (2002) · Proceedings of the eleventh international conference on Information and knowledge management · doi:10.1145/584792.584882 · Cited by 59
Cited by
Gleich, D. F. (2015) · SIAM Review · doi:10.1137/140976649 · Cited by 646
Can social bookmarking improve web search?
Heymann, P., Koutrika, G., & Garcia-Molina, H. (2008) · Proceedings of the international conference on Web search and web data mining - WSDM '08 · doi:10.1145/1341531.1341558 · Cited by 434
Know your neighbors: web spam detection using the web topology
Castillo, C., Donato, D., Gionis, A., Murdock, V., & Silvestri, F. (2007) · Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/1277741.1277814 · Cited by 310
Distributed PageRank computation based on iterative aggregation-disaggregation methods
Zhu, Y., Ye, S., & Li, X. (2005) · Proceedings of the 14th ACM international conference on Information and knowledge management · doi:10.1145/1099554.1099705 · Cited by 65
In-Degree and PageRank: Why Do They Follow Similar Power Laws?
Litvak, N., Scheinhardt, W. R. W., & Volkovich, Y. (2007) · Internet Mathematics · doi:10.1080/15427951.2007.10129293 · Cited by 62
Metadata
- Authors
- Eiron, N., McCurley, K. S., & Tomlin, J. A.
- Venue
- Proceedings of the 13th international conference on World Wide Web
- Publisher
- ACM
- Published
- 2004-05-17
- Pages
- 309-318
- OpenAlex
- W2169263924
- Cited by
- 209
- References
- 3
- FWCI
- 20.65
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Eiron, N., McCurley, K. S., & Tomlin, J. A. (2004). Ranking the web frontier. Proceedings of the 13th international conference on World Wide Web. https://doi.org/10.1145/988672.988714
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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