Amazon Technologies, Inc.

A9.com, Inc.

Joel R Spiegel

Jeffrey P Bezos

Dwayne Edward Bowman

Ruben Ernesto Ortega

Jon D McAuliffe

Greg Linden

Ryan Justin Snodgrass

Timothy Richard Kohn

Michael L Hamrick

Jonathan Alan Leblang

Paul G Nordstrom

Girish S Lakshman

Alan Caplan

FuMing Young

Maryam S Mohit

Michael Terrance McKenna

Andrew V Harbick

Shaun Schooley

Lauri E Bortscheller

Michael D McDaniel

Gus Lopez

Peri Hartman

Gustavo Eduardo Lopez

Gregory D Linden

Neil Roseman

Sheldon J Kaphan

Josh Petersen

Paul Ham

Shel Kaphan

A computer-implemented service recommends digital works (and/or creators of works) to a user based on works currently or previously played or downloaded by the user on a player device or based on playlists stored on the player device. The works may be, for example, music files, video files, electronic books, or other digital content for playing by users. A user may thus obtain personalized recommendations that are based on works obtained from sources (web sites, physical CDs, etc.) that are independent of the recommendations system. In one embodiment, the service identifies pairs of works (and/or work creators) that are similar to each other by virtue of the relatively high frequency with which they co-occur on playlists or within play histories of users. The resulting mappings are used to provide recommendations to users.

Play history based detection of similar digital works or work creators

A computer-implemented matching service matches users to other users, and/or to user communities, based at least in part on a computer analysis of event data reflective of user behaviors. The event data may, for example, evidence user affinities for particular items represented in an electronic catalog, such as book titles, music titles, movie titles, and/or other types of items that tend to reflect the traits of users. Event data reflective of other types of user actions, such as item-detail-page viewing events, browse node visits, search query submissions, and/or web browsing patterns may additionally or alternatively be considered. By taking such event data into consideration, the matching service reduces the burden on users to explicitly supply personal profile information, and reduces poor results caused by exaggerations and other inaccuracies in such profile information.

Mining of user event data to identify users with common interests

A method, system, and computer-readable medium for automatically determining appropriate delivery information for one or more items of an order or potential order is described. A variety of types of information can be considered when determining what delivery information is appropriate for one or more items, such as a type of the items, the particular items, relationships of the items to other items, information about the purchaser, and/or information about the recipient. In addition, the automatic determination of an appropriate address for an item being ordered or potentially ordered by a user can be made in a variety of ways, such as based on inferences from past behavior when ordering items, on inferences from information about the item and from available delivery information for the user, and/or on previous explicit indications from the user.

Delivering ordered items to an appropriate address

Various computer-implemented services are disclosed for assisting users in selecting items from an electronic catalog, and for selecting merchants with which to conduct transactions. One such service enables users to share information about their respective purchases with other users. Another service enables users to share information regarding the merchants with which they have conducted transactions.

Services for enabling users to share information regarding E-commerce transactions via user created communities

Services for enabling users to share information regarding E-commerce transactions

The present invention provides a software facility for identifying the items most relevant to a current query based on items selected in connection with similar queries. In preferred embodiments of the invention, the facility receives a query specifying one or more query terms. In response, the facility generates a query result identifying a plurality of items that satisfy the query. The facility then produces a ranking value for at least a portion of the items identified in the query result by combining the relative frequencies with which users selected that item from the query results generated from queries specifying each of the terms specified by the query. The facility identifies as most relevant those items having the highest ranking values.

Identifying items relevant to a current query based on items accessed in connection with similar queries

Disclosed are various embodiments for suggesting item prices using item attributes specific to an item classification. One or more input values are received for a set of attributes corresponding to a selected item classification. A user interface is rendered that includes a suggested price range. The suggested price range is determined from a set of historical transaction prices for multiple items that are classified under the selected item classification and match the input value(s) for the set of attributes.

Method and system for price suggesting using item-specific attributes

A method and system for anticipatory package shipping are disclosed. According to one embodiment, a method may include packaging one or more items as a package for eventual shipment to a delivery address, selecting a destination geographical area to which to ship the package, shipping the package to the destination geographical area without completely specifying the delivery address at time of shipment, and while the package is in transit, completely specifying the delivery address for the package.

Method and system for anticipatory package shipping

A network-based payment service and site provides various features for facilitating payments. One such feature enables users of the payment service to create pay boxes, or other types of payment objects, that can be incorporated into externally hosted web pages and used to make payments. In some embodiments, the payment objects enable users to make payments directly from the externally hosted web pages.

Network based payment service capable of generating coding for adding payment objects to pages of external sites

Mining of user event data to identify users with common interest

Playlist-based detection of similar digital works and work creators

Growing community of inventors

Woodinville, WA, United States of America

Joel R Spiegel