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
More filters
Journal ArticleDOI
Query Specific Rank Fusion for Image Retrieval
TL;DR: This paper model retrieval ranks as graphs of candidate images and propose a graph-based query specific fusion approach, where multiple graphs are merged and reranked by conducting a link analysis on a fused graph.
Proceedings ArticleDOI
Link spam detection based on mass estimation
TL;DR: The concept of spam mass, a measure of the impact of link spamming on a page's ranking, is introduced, and how to estimate spam mass and how the estimates can help identifying pages that benefit significantly from links spamming are discussed.
Proceedings ArticleDOI
Community membership identification from small seed sets
Isabel M. Kloumann,Jon Kleinberg +1 more
TL;DR: This work evaluates several variants of seed expansion methods across multiple domains, using publicly available datasets with labeled, ground-truth communities, and explores topological properties of communities and seed sets that correlate with algorithm performance.
Journal ArticleDOI
An empirical study of the Mexican banking system’s network and its implications for systemic risk
Serafín Martínez-Jaramillo,Biliana Alexandrova-Kabadjova,Bernardo Bravo-Benitez,Juan Pablo Solórzano-Margain +3 more
TL;DR: In this article, the authors present some topological metrics for the interbank exposures and the payments system networks and draw important conclusions from the systemic risk's perspective and propose a measure of interconnectedness, which can be used to determine the importance of a bank in terms of connectivity.
Proceedings ArticleDOI
SparkBench: a comprehensive benchmarking suite for in memory data analytic platform Spark
TL;DR: This paper presents SparkBench, a Spark specific benchmarking suite, which includes a comprehensive set of applications, including machine learning, graph computation, SQL query and streaming applications, and evaluates the performance impact of a key configuration parameter to guide the design and optimization of Spark data analytic platform.
References
More filters
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.