The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Searching the Web
Abstract
We offer an overview of current Web search engine design. After introducing a generic search engine architecture, we examine each engine component in turn. We cover crawling, local Web page storage, indexing, and the use of link analysis for boosting search performance. The most common design and implementation techniques for each of these components are presented. For this presentation we draw from the literature and from our own experimental search engine testbed. Emphasis is on introducing the fundamental concepts and the results of several performance analyses we conducted to compare different designs.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
Golub, G. (2012) · doi:10.56021/9781421407944 · Cited by 34,505
The anatomy of a large-scale hypertextual Web search engine
Brin, S., & Page, L. (1998) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(98)00110-x · Cited by 16,004
Garfield, E. (1972) · Science · doi:10.1126/science.178.4060.471 · Cited by 2,788
Cited by
Schleimer, S., S, W. D., & Aiken, A. (2003) · Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data · doi:10.1145/872757.872770 · Cited by 1,099
Inverted files for text search engines
Zobel, J., & Moffat, A. (2006) · ACM Computing Surveys · doi:10.1145/1132956.1132959 · Cited by 1,081
Langville, A., & Meyer, C. (2004) · Internet Mathematics · doi:10.1080/15427951.2004.10129091 · Cited by 894
Detecting near-duplicates for web crawling
Manku, G. S., Jain, A., & Das Sarma, A. (2007) · Proceedings of the 16th international conference on World Wide Web · doi:10.1145/1242572.1242592 · Cited by 617
UbiCrawler: a scalable fully distributed Web crawler
Boldi, P., Codenotti, B., Santini, M., & Vigna, S. (2004) · Software: Practice and Experience · doi:10.1002/spe.587 · Cited by 560
Metadata
- Authors
- Arasu, A., Cho, J., Garcia-Molina, H., Paepcke, A., & Raghavan, S.
- Venue
- ACM Transactions on Internet Technology
- Published
- 2001-08
- Volume
- 1
- Issue
- 1
- Pages
- 2-43
- ISSN
- 1533-5399 (ISSN-L)
- 1557-6051
- OpenAlex
- W2029500199
- Cited by
- 505
- References
- 4
- FWCI
- 104.31
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Searching the Web. https://app.cochat.ai/papers/10.1145/383034.383035
- The paper
- Arasu, A., Cho, J., Garcia-Molina, H., Paepcke, A., & Raghavan, S. (2001). Searching the Web. ACM Transactions on Internet Technology. https://doi.org/10.1145/383034.383035
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.