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Institution

Amazon.com

CompanySeattle, Washington, United States
About: Amazon.com is a company organization based out in Seattle, Washington, United States. It is known for research contribution in the topics: Service (business) & Service provider. The organization has 13363 authors who have published 17317 publications receiving 266589 citations.


Papers
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Patent
25 Jan 2012
TL;DR: In this paper, a system, method, and computer readable medium for managing network storage provider and CDN service providers is provided, where a content broker component obtains client computing device requests for content provided by a content provider.
Abstract: A system, method, and computer readable medium for managing network storage provider and CDN service providers are provided. A content broker component obtains client computing device requests for content provided by a content provider. The content broker processes the client computing device requests and determines whether a subsequent request for the resource should be directed to a network storage provider or a CDN service provider as a function of the updated or processed by the content broker.

162 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used a multi-sensor (Landsat, ALOS PALSAR and SRTM) remote sensing approach, together with field data including 24 forest census plots and 218 peat thickness measurements, to map the distribution of peatland vegetation types and calculate the combined above-and below-ground carbon stock of Peatland ecosystems in the Pastaza-Maranon foreland basin in Peru.
Abstract: Peatlands in Amazonian Peru are known to store large quantities of carbon, but there is high uncertainty in the spatial extent and total carbon stocks of these ecosystems. Here, we use a multi-sensor (Landsat, ALOS PALSAR and SRTM) remote sensing approach, together with field data including 24 forest census plots and 218 peat thickness measurements, to map the distribution of peatland vegetation types and calculate the combined above- and below-ground carbon stock of peatland ecosystems in the Pastaza-Maranon foreland basin in Peru. We find that peatlands cover 35 600±2133 km 2 and contain 3.14 (0.44–8.15) Pg C. Variation in peat thickness and bulk density are the most important sources of uncertainty in these values. One particular ecosystem type, peatland pole forest, is found to be the most carbon-dense ecosystem yet identified in Amazonia (1391±710 Mg C ha �1 ). The novel approach of combining optical and radar remote sensing with above- and below-ground carbon inventories is recommended for developing regional carbon estimates for tropical peatlands globally. Finally, we suggest that Amazonian peatlands should be a priority for research and conservation before the developing regional infrastructure causes an acceleration in the exploitation and degradation of these ecosystems. S Online supplementary data available from stacks.iop.org/ERL/9/124017/mmedia

162 citations

Journal ArticleDOI
TL;DR: In this article, the authors compare the benefits of different kinds of land-use change and forestry (LUCF) activities, such as carbon sequestration in forest plantations, avoiding deforestation by creating protected areas, and policy changes to slow rates of land use changes such as clearing.
Abstract: Many proposed activities formitigating global warming in the land-use change and forestry(LUCF) sector differ from measures to avoid fossilfuel emissions because carbon (C) may be held out ofthe atmosphere only temporarily. In addition, thetiming of the effects is usually different. Many LUCFactivities alter C fluxes to and from the atmosphereseveral decades into the future, whereas fossil fuelemissions avoidance has immediate effects. Non-CO2 greenhouse gases (GHGs), which are animportant part of emissions from deforestation inlow-latitude regions, also pose complications forcomparisons between fossil fuel and LUCF, since themechanism generally used to compare these gases(global warming potentials) assumes simultaneousemissions. A common numeraire is needed to expressglobal warming mitigation benefits of different kindsof projects, such as fossil fuel emissions reduction,C sequestration in forest plantations, avoideddeforestation by creating protected areas and throughpolicy changes to slow rates of land-use changes suchas clearing. Megagram (Mg)-year (also known as`ton-year') accounting provides a mechanism forexpressing the benefits of activities such as these ona consistent basis. One can calculate the atmosphericload of each GHG that will be present in each year,expressed as C in the form of CO2 and itsinstantaneous impact equivalent contributed by othergases. The atmospheric load of CO2-equivalent Cpresent over a time horizon is a possible indicator ofthe climatic impact of the emission that placed thisload in the atmosphere. Conversely, this index alsoprovides a measure of the benefit of notproducing the emission. One accounting methodcompares sequestered CO2 in trees with theCO2 that would be in the atmosphere had thesequestration project not been undertaken, whileanother method (used in this paper) compares theatmospheric load of C (or equivalent in non-CO2GHGs) in both project and no-project scenarios.Time preference, expressed by means of a discount rateon C, can be applied to Mg-year equivalencecalculations to allow societal decisions regarding thevalue of time to be integrated into the system forcalculating global warming impacts and benefits. Giving a high value to time, either by raising thediscount rate or by shortening the time horizon,increases the value attributed to temporarysequestration (such as many forest plantationprojects). A high value for time also favorsmitigation measures that have rapid effects (such asslowing deforestation rates) as compared to measuresthat only affect emissions years in the future (suchas creating protected areas in countries with largeareas of remaining forest). Decisions on temporalissues will guide mitigation efforts towards optionsthat may or may not be desirable on the basis ofsocial and environmental effects in spheres other thanglobal warming. How sustainable development criteriaare incorporated into the approval and creditingsystems for activities under the Kyoto Protocol willdetermine the overall environmental and social impactsof pending decisions on temporal issues.

161 citations

Patent
09 May 2002
TL;DR: In this article, the World Wide Web serves as the electronic catalog such that users may create, view and make purchases from product listings during viewing of third party web pages that describe the associated products.
Abstract: An online marketplace system provides various features for assisting users in listing products for sale, locating the listings for a product, and performing related actions. A user wishing to sell a product can browse to an existing description of the product in an electronic catalog and then select an option to create a corresponding listing. To create the listing for the selected product, the user preferably specifies the product's condition and a selling price. Others may view and make purchases from such listings while browsing the catalog. In one embodiment which is part of a web page metadata service, the World Wide Web serves as the electronic catalog such that users may create, view and make purchases from product listings during viewing of third party web pages that describe the associated products. The system may also provide an option for buyers to preorder products from unspecified sellers.

161 citations

Proceedings ArticleDOI
01 Sep 2015
TL;DR: This work shows that the discourse analyses produced by Rhetorical Structure Theory parsers can improve document-level sentiment analysis, via composition of local information up the discourse tree and presents a recursive neural network over the RST structure, which offers significant improvements over classificationbased methods.
Abstract: Discourse structure is the hidden link between surface features and document-level properties, such as sentiment polarity. We show that the discourse analyses produced by Rhetorical Structure Theory (RST) parsers can improve document-level sentiment analysis, via composition of local information up the discourse tree. First, we show that reweighting discourse units according to their position in a dependency representation of the rhetorical structure can yield substantial improvements on lexicon-based sentiment analysis. Next, we present a recursive neural network over the RST structure, which offers significant improvements over classificationbased methods.

161 citations


Authors

Showing all 13498 results

NameH-indexPapersCitations
Jiawei Han1681233143427
Bernhard Schölkopf1481092149492
Christos Faloutsos12778977746
Alexander J. Smola122434110222
Rama Chellappa120103162865
William F. Laurance11847056464
Andrew McCallum11347278240
Michael J. Black11242951810
David Heckerman10948362668
Larry S. Davis10769349714
Chris M. Wood10279543076
Pietro Perona10241494870
Guido W. Imbens9735264430
W. Bruce Croft9742639918
Chunhua Shen9368137468
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20234
2022168
20212,015
20202,596
20192,002
20181,189