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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Proceedings ArticleDOI
DeepInf: Social Influence Prediction with Deep Learning
TL;DR: Zhang et al. as discussed by the authors designed an end-to-end framework, DeepInf, to learn users' latent feature representation for predicting social influence, which takes a user's local network as the input to a graph neural network for learning her latent social representation.
Journal ArticleDOI
Influence Maximization on Social Graphs: A Survey
TL;DR: This paper surveys and synthesizes a wide spectrum of existing studies on IM from an algorithmic perspective, with a special focus on a review of well-accepted diffusion models that capture the information diffusion process and build the foundation of the IM problem.
Journal ArticleDOI
Runx3 programs CD8 + T cell residency in non-lymphoid tissues and tumours
J. Justin Milner,Clara Toma,Bingfei Yu,Kai Zhang,Kyla D. Omilusik,Anthony T. Phan,Dapeng Wang,Adam J. Getzler,Toan Nguyen,Shane Crotty,Wei Wang,Matthew E. Pipkin,Ananda W. Goldrath +12 more
TL;DR: In addition to establishing Runx3 as a central regulator of TRM cell differentiation, these results provide insight into the signals that promote T cell residency in non-lymphoid sites, which could be used to enhance vaccine efficacy or adoptive cell therapy treatments that target cancer.
Journal ArticleDOI
A Survey of Eigenvector Methods for Web Information Retrieval
Amy N. Langville,Carl D. Meyer +1 more
TL;DR: This survey paper focuses on Web information retrieval methods that use eigenvector computations, presenting the three popular methods of HITS, PageRank, and SALSA.
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Axioms for Centrality
Paolo Boldi,Sebastiano Vigna +1 more
TL;DR: This study tries to provide a mathematically sound survey of the most important classic centrality measures known from the literature and proposes an axiomatic approach to establish whether they are actually doing what they have been designed to do, and suggests that centrality Measures based on distances, which in recent years have been neglected in information retrieval, do provide high-quality signals.
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.