Institution
Amazon.com
Company•Seattle, 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.
Topics: Computer science, Service (business), Service provider, Context (language use), Virtual machine
Papers published on a yearly basis
Papers
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10 Mar 2005TL;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
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08 Jul 1999TL;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
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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
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31 Mar 2014TL;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
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04 Apr 2012TL;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
Name | H-index | Papers | Citations |
---|---|---|---|
Jiawei Han | 168 | 1233 | 143427 |
Bernhard Schölkopf | 148 | 1092 | 149492 |
Christos Faloutsos | 127 | 789 | 77746 |
Alexander J. Smola | 122 | 434 | 110222 |
Rama Chellappa | 120 | 1031 | 62865 |
William F. Laurance | 118 | 470 | 56464 |
Andrew McCallum | 113 | 472 | 78240 |
Michael J. Black | 112 | 429 | 51810 |
David Heckerman | 109 | 483 | 62668 |
Larry S. Davis | 107 | 693 | 49714 |
Chris M. Wood | 102 | 795 | 43076 |
Pietro Perona | 102 | 414 | 94870 |
Guido W. Imbens | 97 | 352 | 64430 |
W. Bruce Croft | 97 | 426 | 39918 |
Chunhua Shen | 93 | 681 | 37468 |