Amazon.com

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.

Region Proposal by Guided Anchoring

Abstract: Region anchors are the cornerstone of modern object detection techniques. State-of-the-art detectors mostly rely on a dense anchoring scheme, where anchors are sampled uniformly over the spatial domain with a predefined set of scales and aspect ratios. In this paper, we revisit this foundational stage. Our study shows that it can be done much more effectively and efficiently. Specifically, we present an alternative scheme, named Guided Anchoring, which leverages semantic features to guide the anchoring. The proposed method jointly predicts the locations where the center of objects of interest are likely to exist as well as the scales and aspect ratios at different locations. On top of predicted anchor shapes, we mitigate the feature inconsistency with a feature adaption module. We also study the use of high-quality proposals to improve detection performance. The anchoring scheme can be seamlessly integrated into proposal methods and detectors. With Guided Anchoring, we achieve 9.1% higher recall on MS COCO with 90% fewer anchors than the RPN baseline. We also adopt Guided Anchoring in Fast R-CNN, Faster R-CNN and RetinaNet, respectively improving the detection mAP by 2.2%, 2.7% and 1.2%. Code is available at https://github.com/open-mmlab/mmdetection.

Use of electronic shopping carts to generate personal recommendations

Abstract: A computer-implemented service recommends products or other items to a user based on a set of items known to be of interest to the user, such as a set of items currently in the user's electronic shopping cart. In one embodiment, the service identifies items that are currently in the user's shopping cart, and uses these items to generate a list of additional items that are predicted to be of interest to the user, wherein an additional item is selected to include in the list based in-part upon whether that item is related to more than one of the items in the user's shopping cart. The item relationships are preferably determined by an off-line process that analyzes user purchase histories to identify correlations between item purchases. The additional items are preferably displayed to the user when the user views the contents of the shopping cart.

Sustainable Biofuels Redux

Abstract: Science-based policy is essential for guiding an environmentally sustainable approach to cellulosic biofuels.

Two Decades of Recommender Systems at Amazon.com

Abstract: Amazon is well-known for personalization and recommendations, which help customers discover items they might otherwise not have found. In this update to their original paper, the authors discuss some of the changes as Amazon has grown.

System and method for providing secure URL-based access to private resources

Abstract: In a Web site system in which different private records or other resources are personal to different users, a method is provided for allowing users to securely access a private resource without the need to enter a username, password, or other authentication information, and without the need to download special authentication software or data to the user's computer. Each resource is assigned a private uniform resource locator (URL) which includes a fixed character string and a unique token, and the URLs are conveyed by email (preferably using hyperlinks) to users that are entitled to access such resources. The tokens are generated using a method which distributes the tokens substantially randomly over the range of allowable token values (“token space”). The token space is selected to be sufficiently large relative to the expected number of valid tokens to inhibit the identification of valid tokens through trial and error. When a user attempts to access a private URL (such as to access a private account information page), a token validation program is used to determine whether the token is valid. The method may be used to provide users secure to access private account information on the Web site of merchant. Other practical applications include electronic gift certificate and coupon redemption, gift registries, order confirmation electronic voting, and electronic greeting cards.