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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
Richard Brinkerhoff1
02 Mar 2000
TL;DR: In this article, the authors present a system and method of encouraging customers to review purchased items, where customers are provided with review requests a predetermined amount of time after the customer has purchased an item or had the item delivered.
Abstract: One embodiment of the present invention is a system and method of encouraging customers to review purchased items. Customers are provided with review requests a predetermined amount of time after the customer has purchased an item or had the item delivered. The predetermined amount of time is related to an estimated time it will take the customer to evaluate the item. The reviews may include textual reviews that are presented to other customers and/or item ratings that are used to generate personal recommendations.

187 citations

Proceedings ArticleDOI
12 Jan 2003
TL;DR: It is demonstrated that results from online learning can be usefully applied in this context, and a new auction for digital goods is derived that achieves a constant competitive ratio with respect to the optimal (offline) fixed price revenue.
Abstract: We consider the problem of revenue maximization in online auctions, that is, auctions in which bids are received and dealt with one-by-one. In this paper, we demonstrate that results from online learning can be usefully applied in this context, and we derive a new auction for digital goods that achieves a constant competitive ratio with respect to the optimal (oine) xed price revenue. This substantially improves upon the best previously known competitive ratio for this problem of O(exp( p log log h)) [4]. We also apply our techniques to the related problem of designing online posted price mechanisms, in which the seller declares a price for each of a series of buyers, and each buyer either accepts or rejects the good at that price. Despite the relative lack of information in this setting, we show that online learning techniques can be used to obtain results for online posted price mechanisms which are similar to those obtained for online auctions.

187 citations

Journal ArticleDOI
Philip M. Fearnside1
TL;DR: Brazil’s Samuel Dam, which formed a 540-km2 reservoir in the state of Rondônia in 1988, provides lessons for development decisions throughout Amazonia and in other tropical areas.
Abstract: Brazil’s Samuel Dam, which formed a 540-km2 reservoir in the state of Rondonia in 1988, provides lessons for development decisions throughout Amazonia and in other tropical areas. The decision to build the dam was heavily influenced by its role in the political strategies of key decision makers. Samuel illustrates both impacts and benefits of electricity supply and the dilemmas facing decision makers regarding the various options for planned electricity generation. Environmental costs included flooding forest and stimulating illegal logging activity throughout western Amazonia because of an exception opened for Samuel in Brazil’s prohibition of export of raw logs. Samuel emitted substantially more greenhouse gases than would have been emitted by generating the same amount of electricity from oil. Contamination of fish in the reservoir resulted from methylation of mercury present in the soil. Social costs of the dam included resettlement of 238 families of farmers; impacts on indigenous people were indirect. Mitigating measures included faunal rescue and creation of a forest reserve. The lessons of Samuel include the need to consider a full range of alternatives prior to making decisions in practice and the importance of adhering to the logical sequence of decision making, where information is gathered and compared prior to the decision. It also shows the need to maintain flexibility when the costs and benefits of different alternatives change significantly over the course of the project’s planning and execution, as occurred at Samuel.

186 citations

Journal ArticleDOI
Philip M. Fearnside1
TL;DR: The Santo Antonio and Jirau dams, under construction on the Madeira River, will have significant impacts, including flooding in Bolivia due to the backwater stretch.

185 citations

Journal ArticleDOI
TL;DR: This paper showed that the effect of tropical deforestation on greenhouse-gas emissions and global warming is substantial, and that at least for Brazilian Amazonia, the net impact of tropical deforesting on global warming may be more than double that estimated in the recent study.
Abstract: A recent (2002) analysis concluded that rates of tropical deforestation and atmospheric carbon emissions during the 1990–1997 interval were lower than previously suggested. We challenged this assertion with respect to tropical carbon emissions, but our conclusions were disputed by the authors of the original study. Here we provide further evidence to support our conclusion that the effect of tropical deforestation on greenhouse-gas emissions and global warming is substantial. At least for Brazilian Amazonia, the net impact of tropical deforestation on global warming may be more than double that estimated in the recent study.

185 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