The DOI matches its Crossref record.
What's really new on the web?: identifying new pages from a series of unstable web snapshots
Abstract
Identifying and tracking new information on the Web is important in sociology, marketing, and survey research, since new trends might be apparent in the new information. Such changes can be observed by crawling the Web periodically. In practice, however, it is impossible to crawl the entire expanding Web repeatedly. This means that the novelty of a page remains unknown, even if that page did not exist in previous snapshots. In this paper, we propose a novelty measure for estimating the certainty that a newly crawled page appeared between the previous and current crawls. Using this novelty measure, new pages can be extracted from a series of unstable snapshots for further analysis and mining to identify new trends on the Web. We evaluated the precision, recall, and miss rate of the novelty measure using our Japanese web archive, and applied it to a Web archive search engine.
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In the citing paper
“Determining a document's timestamp was first studied by [Toyoda and Kitsuregawa 2006] and [Nunes et al. 2007].”
From Survey of Temporal Information Retrieval and Related Applications (2015) · cites this paper as Toyoda and Kitsuregawa 2006
In the citing paper
“Both used neighboring pages to estimate the document creation date or the last-modified date”
From Survey of Temporal Information Retrieval and Related Applications (2015) · cites this paper as Toyoda and Kitsuregawa 2006
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Research works printed but not linked: 22
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Cited by
Sorted by citations
Survey of Temporal Information Retrieval and Related Applications
Campos, R., Dias, G., Jorge, A. M., & Jatowt, A. (2015) · ACM Computing Surveys · doi:10.1145/2619088 · Cited by 262
Metadata
- Authors
- Toyoda, M., & Kitsuregawa, M.
- Affiliations
- University of Tokyo, Tokyo, JAPAN
- Venue
- Proceedings of the 15th international conference on World Wide Web
- Publisher
- ACM
- Published
- 2006-05-23
- Pages
- 233-241
- Cited by
- 21
- References
- 0
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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.
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