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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Journal ArticleDOI
Quality Control in Crowdsourcing: A Survey of Quality Attributes, Assessment Techniques, and Assurance Actions
TL;DR: In this paper, a survey of quality in the context of crowdsourcing along several dimensions is presented to define and characterize it and to understand the current state-of-the-art.
Proceedings ArticleDOI
FINAL: Fast Attributed Network Alignment
Si Zhang,Hanghang Tong +1 more
TL;DR: This paper proposes a family of algorithms to leverage the node/edge attribute information to guide (topology-based) alignment process, and develops effective and scalable algorithms to solve the problem from an optimization perspective.
Proceedings ArticleDOI
KV-Direct: High-Performance In-Memory Key-Value Store with Programmable NIC
Bojie Li,Zhenyuan Ruan,Wencong Xiao,Yuanwei Lu,Yongqiang Xiong,Andrew Putnam,Enhong Chen,Lintao Zhang +7 more
TL;DR: KV-Direct is presented, a high performance KVS that leverages programmable NIC to extend RDMA primitives and enable remote direct key-value access to the main host memory, and can achieve near linear scalability with multiple NICs.
Journal ArticleDOI
DawnRank: discovering personalized driver genes in cancer.
Jack P. Hou,Jian Feng Ma +1 more
TL;DR: A new algorithm called DawnRank is developed to directly prioritize altered genes on a single patient level and will help to discover personalized causal mutations that would otherwise be obscured by tumor heterogeneity.
Book ChapterDOI
Query Specific Fusion for Image Retrieval
TL;DR: A graph-based query specific fusion approach where multiple retrieval sets are merged and reranked by conducting a link analysis on a fused graph is proposed, capable of adaptively integrating the strengths of the retrieval methods using local or holistic features for different queries without any supervision.
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.