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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How the taxonomy of products drives the economic development of countries.
TL;DR: An algorithm able to reconstruct the relevant network structure on which the time evolution of country-product bipartite networks takes place is introduced, finding that the most relevant edges for countries' development are the ones suggested by the network.
Journal ArticleDOI
A Strategic Perspective on Search Engines: Thought Candies for Practitioners and Researchers
TL;DR: This paper explores the following topics: what are search engines exactly, what businesses can do with search engines, how are, and how should, senior executives be viewing the strategic impact ofSearch engines, and what are some important research issues for academics and practitioners that would help to gain a better understanding of the Strategic impact of search engines.
Journal ArticleDOI
Propagation of trust and distrust for the detection of trolls in a social network
TL;DR: The aim of the method is to prevent malicious users from illicitly gaining high reputation in the network by demoting them in the ranking of users, and shows the propagation of trust and distrust to be a reliable mechanism in a Trust and Reputation System.
Proceedings Article
The Curse of Zipf and Limits to Parallelization: An Look at the Stragglers Problem in MapReduce.
TL;DR: A simple theoretical model is presented that shows how Zipan distributions impose a fundamental limit on the amount of parallelism that can be extracted from a large class of algorithms where all occurrences of the same element must be processed together.
Proceedings ArticleDOI
Personalized search by tag-based user profile and resource profile in collaborative tagging systems
TL;DR: This paper proposes a new method to model user profiles and resource profiles in a collaborative tagging environment and implements a prototype system, named as FMRS, which outperforms baseline methods in personalized search.
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.