Open AccessProceedings Article
The PageRank Citation Ranking : Bringing Order to the Web
Lawrence Page,Sergey Brin,Rajeev Motwani,Terry Winograd +3 more
- Vol. 98, pp 161-172
TLDR
This paper describes PageRank, a mathod for rating Web pages objectively and mechanically, effectively measuring the human interest and attention devoted to them, and shows how to efficiently compute PageRank for large numbers of pages.Abstract:
The importance of a Web page is an inherently subjective matter, which depends on the readers interests, knowledge and attitudes. But there is still much that can be said objectively about the relative importance of Web pages. This paper describes PageRank, a mathod for rating Web pages objectively and mechanically, effectively measuring the human interest and attention devoted to them. We compare PageRank to an idealized random Web surfer. We show how to efficiently compute PageRank for large numbers of pages. And, we show how to apply PageRank to search and to user navigation.read more
Citations
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Patent
User interface for viewing clusters of images
TL;DR: In this paper, a method and system for providing a user interface for presenting images of clusters of an image search result is provided, where the user interface system displays the search result in a cluster/view form using a cluster panel and a view panel.
Posted ContentDOI
The SJR indicator: A new indicator of journals' scientific prestige
TL;DR: This work was financed by the Junta de Extremadura - Consejeria de Educacion Ciencia & Tecnologia and the Fondo Social Europeo as part of research project PRI06A200.
Proceedings ArticleDOI
Indexing and retrieval of scientific literature
TL;DR: This paper discusses the creation of digital libraries of scientific literature on the web, including the efficient location of articles, full-text indexing of the articles, autonomous citation indexing, information extraction, display of query-sensitive summaries and citation context, hubs and authorities computation.
Journal IssueDOI
Scopus's source normalized impact per paper (SNIP) versus a journal impact factor based on fractional counting of citations
Loet Leydesdorff,Tobias Opthof +1 more
TL;DR: Fractional counting of citations can be contextualized at the paper level and aggregated impacts of sets can be tested for their significance, and it can be shown that the weighted impact of Annals of Mathematics is not so much lower than that of Molecular Cell despite a five-f old difference.
Proceedings ArticleDOI
Deep Relevance Ranking Using Enhanced Document-Query Interactions
TL;DR: Several new models for document relevance ranking are explored, building upon the Deep Relevance Matching Model (DRMM) of Guo et al. (2016), and inspired by PACRR’s convolutional n-gram matching features, but extended in several ways including multiple views of query and document inputs.
References
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Journal Article
The Anatomy of a Large-Scale Hypertextual Web Search Engine.
Sergey Brin,Lawrence Page +1 more
TL;DR: Google as discussed by the authors is a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext and is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems.
Journal ArticleDOI
Efficient crawling through URL ordering
TL;DR: In this paper, the authors study in what order a crawler should visit the URLs it has seen, in order to obtain more "important" pages first, and they show that a good ordering scheme can obtain important pages significantly faster than one without.
Proceedings ArticleDOI
Silk from a sow's ear: extracting usable structures from the Web
TL;DR: This paper presents the exploration into techniques that utilize both the topology and textual similarity between items as well as usage data collected by servers and page meta-information lke title and size.
Proceedings ArticleDOI
HyPursuit: a hierarchical network search engine that exploits content-link hypertext clustering
TL;DR: Experience with HyPursuit suggests that abstraction functions based on hypertext clustering can be used to construct meaningful and scalable cluster hierarchies, and is encouraged by preliminary results on clustering based on both document contents and hyperlink structures.
Journal ArticleDOI
The quest for correct information on the Web: hyper search engines
TL;DR: This paper presents a novel method to extract from a web object its “hyper” informative content, in contrast with current search engines, which only deal with the “textual’ informative content.