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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: Computer science & Service (business). The organization has 13363 authors who have published 17317 publications receiving 266589 citations.


Papers
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Patent
10 Mar 2005
TL;DR: One or more images of items for an order being processed at processing station of an order fulfillment center may be captured and associated with the order. as mentioned in this paper The customer may use a reference included in the notification to view captured images to verify that the order has been correctly processed.
Abstract: One or more images of items for an order being processed at processing station of an order fulfillment center may be captured and associated with the order. Alternatively, a short video clip may be captured of the order being packaged. An electronic notification that the order has been processed may be sent to a customer associated with the order. The electronic notification may include a reference to one or more of the captured images or video clips. The customer may use a reference included in the notification to view the captured images. The customer may view captured images to verify that the order has been correctly processed. The captured images may include images of the items being packaged for shipment and may show the shipping address on the package allowing the customer to verify that indeed it is his package in the images.

198 citations

Patent
08 Jul 1999
TL;DR: In this article, a search engine uses correlations between search terms to correct misspelled terms within search queries, which are based at least in part on historical query submissions to the search engine.
Abstract: A search engine uses correlations between search terms to correct misspelled terms within search queries. The correlations are based at least in-part on historical query submissions to the search engine. Preferably, the correlations reflect the frequencies with which the search terms have historically appeared together within the same query, and are stored within a correlation table (50) using related terms lists (62). In one embodiment, a correlation table (50) is generated periodically from the M (e.g. 10) most recent days of entries in a query log (36), and thus reflects the current preferences of users. In operation, when a query that includes both matching and non-matching search terms is submitted to the search engine, a spelling correction process (48) accesses the correlation table (50) to generate a list of terms that are deemed to be related to the matching term(s). The spellings of these related terms are then compared to the spelling of each non-matching term using a spelling comparison function that compares two character strings and generates a similarity score. If a suitable replacement is found for a given non-matching term, the non-matching term is replaced with the similar related term. The modified query is then used to perform the search, and the user is notified of the modification(s) made to the query. In the disclosed embodiment, the search engine is used on the Web site of an online merchant to assist users in locating book titles, music titles, and other types of products.

197 citations

Journal ArticleDOI
TL;DR: The goal of this paper is to develop a new framework that can provide organizations a holistic roadmap in conceptualizing, planning and successfully implementing Big Data projects and to validate this framework through the observation of a descriptive case study of an organization that has implemented such a project.

196 citations

Patent
Pradeep Vincent1
31 Mar 2014
TL;DR: In this paper, a session identifier based on a persistent session storage location at which metadata of the client session are stored is received at the access subsystem prior to its transmission to the client.
Abstract: A request for a session identifier for a particular client is transmitted from an access subsystem of a storage service to a metadata subsystem of the service. A session identifier based on a persistent session storage location at which metadata of the client session are stored is received at the access subsystem. The session identifier is cached at the access subsystem prior to its transmission to the client. A lock state indicator generated by the metadata subsystem in response to a particular request from the client during the client session may also be cached at the access subsystem. Subsequent storage requests from the client during the session may be handled by the access subsystem using the cached session identifier and lock state indicator.

196 citations

Patent
04 Apr 2012
TL;DR: A user interface can enable a user to control the display of content in a way that is natural for the user and requires little physical interaction as discussed by the authors, where the gaze direction and viewing location of a user can be determined using any of a variety of imaging or other such technologies.
Abstract: A user interface can enable a user to control the display of content in a way that is natural for the user and requires little physical interaction. The gaze direction and/or viewing location of a user can be determined using any of a variety of imaging or other such technologies. By determining the location at which the user is gazing, an electronic device can control aspects such as the scroll rate or page turns of displayed content. In many cases, a device utilizes the natural reading or viewing style of a user to determine appropriate aspects for that user, and can update automatically as conditions change based at least in part upon the change in gaze location and/or viewing patterns.

196 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
Network Information
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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