Amazon Technologies, Inc.

Raf Technology, Inc.

A9.com, Inc.

Brent Russell Smith

Gregory D Linden

Nida K Zada

Francis J Kane, Jr

Matthew Thomas Tavis

Jocelyn M Miller

ShenbagaKumaran Srinivasan

Jeffrey T Brownell

Jeremy Charles York

Homer G Morgan, Iii

David Justin Ross

Michael D McDaniel

Kushal Chakrabarti

Gaurav Chanda

Stephen E M Billester

Ronald M Whitman

Robert G Cottrell

Alexandra Juliet Brasch

Hilliard Bruce Siegel

Aaron Michael Donsbach

Tom Killalea

Peter Thomas Killalea

Walter Manching Tseng

Andrej Gregov

Greg Linden

Ron Kohavi

Josh Petersen

Sanjeev Jain

Wesley M Turner

Arjun Chittoor

Jason Shih Shen Chein

Kenneth James Price

Douglas R Hains

Jack Love

Michael C Day

Jeffrey Alan Holden

Rui Chen

Dennis Lee

Jody David Biggs

Randal Henne

Serguei B Stepaniants

Eric R Vadon

Geoffrey Ryan Dworkin

Sen Zhao

David Hsu

Corry Lee-Boehm

Srijith Ravikumar

In some examples, a computing device may receive an indication that a first user and a second user are located in a zone of an interior space or other surrounding environment. Settings of one or more controllable devices may be controlled based on user profiles including implicit or explicit user preferences, such as for controlling lighting, ambient temperature, entertainment, security, etc., in the zone. When there is conflict between the user preferences, the conflict may be resolved, such as by determining a hierarchy between the users, by averaging the preferred settings, or based on other techniques. Further, a portable computing device may be associated with a user and may provide sensor information. The sensor information may include biometric sensor information that is indicative of a bodily condition of the user and that can be used for determining a context of the user or the zone.

Computing device interaction with surrounding environment

A server system increases the diversity of item recommendations provided to a target user by using item similarity data to reorder a ranked list of recommended items for presentation to a user. The reordering is performed such that items identified as similar to each other are spaced apart from each other by at least a minimum number of positions. This minimum number may be selected based, e.g., on how many recommended items will initially be presented on a requesting user device, which may depend on the display size or other attributes of the user device. The server system generates a user interface that displays an initial portion of the reordered list. The user interface includes controls for scrolling through the reordered list.

User interface for efficient navigation of item recommendations

Systems, methods, and computer-readable media are disclosed for identifying a set of images of child variants of a parent item, identifying a set of colors in the set of images, categorizing the set of colors into color subgroups, identifying a set of representative color(s) for the color subgroups, generating a color value distribution representation for an image of a child variant that indicates a respective number of pixels in the child variant image corresponding to each of one or more representative colors, identifying a color cluster in the color value distribution representation, scoring the color cluster, and selecting a particular color from the color cluster for inclusion in a sample image of the child variant if the color cluster score meets or exceeds a threshold value.

Sample color selection for online retail items

Described herein is a system and method for processing analytics data in a windowed manner. In some embodiments, each user of a number of users is assigned to a group (e.g., a treatment group or a control group). The system may monitor each user to obtain metric data associated with each of the users over the course of an experiment. In some embodiments, the system may identify an indication of a trigger event with respect to each user. For example, the indication of the trigger event may comprise a time at which an event occurred for that user. The system may identify and compile data from the metric data for each of the users with respect to the trigger event. In some embodiments the metric data may be aggregated for each of the users with respect to a window or timespan positioned relative to the identified trigger event.

Windowed approach to analytics processing

Systems are provided to analyze user behavior with respect to different versions of content, and to identify the behavioral effects that can be attributed to the differences between the versions of content. Systems can determine whether an observed difference in user interactions with different versions of content is caused by the specific changes that have been made to content (e.g., an actual improvement or other substantive change), or whether the observed difference in user interactions is caused by the mere fact that the versions of content are different (e.g., due to the novelty of seeing a different version of content for the first time, regardless of whether the difference is a substantive improvement). In some cases, the observed effect may be caused both by the novelty of the content being changed and by the substance of the changes.

System for management of content changes and detection of novelty effects

A recommendation system increases the diversity of item recommendations provided to a target user by using item similarity data to reorder a recommendation set of items complementary to a source item. In one embodiment, the complementary items in the recommendation set are ranked based on a relevance score that represents a degree of relevance to the source item. The ranked recommendation set is then reordered based on overlap scores that represent degrees of similarity between particular items so that adjacent items and/or groups of items have less than a threshold degree of similarity. The overlap scores may be generated based on an automated comparison of user item viewing behavior, item attributes, item content, or based on another measure of item similarity.

Diversification of recommendations

Disclosed are various embodiments for providing confirmations for list modifications. A network page is sent to a client. The network page includes one or more components for requesting that one or more items be added to a list of items. The item(s) are added to the list of items in response to a request from the client. A display region is encoded for rendering in the client as a layer superimposed on the network page. The display region includes a confirmation that the item(s) have been added to the list of items.

Providing confirmations for list modifications

Some examples include determining a proximity between a first user device and a plurality of other user devices based at least in part on comparing location information of the first user device with location information for the plurality of other user devices. Additionally, a commonality may be determined that is associated with at least some user profiles of the other users, but is unassociated with a user profile of the first user. For example, the commonality may have a frequency of occurrence among the user profiles of the other users that is greater than the frequency of occurrence among user profiles associated with a larger population. In other examples, a first portable computing device may receive profile information from a nearby second portable computing device for determining a compatibility between a first user profile and a second user profile.

Determining user commonalities and differences

Technologies are described herein for relating individual items to categories of items purchased concurrently by a customer. A representative category may be assigned to each of the items offered for sale by an online merchant. Purchase history data containing information regarding each item purchased by a customer on a specific date is augmented with information regarding each representative category of items from which an item was purchased by the customer on the same date. From the purchase history data, an attach rate is calculated between each particular item and a number of representative categories indicating the frequency of concurrency of purchase of the particular item with items assigned to the representative category. A user interface may then be generated containing the attach rates between the particular item and the representative categories and sent to a customer computer for display to the customer.

Relating individual items to similar purchased categories

Disclosed are various embodiments for a recommendation insertion application. Instances of abandonment for media content are aggregated. A recommendation insertion point is calculated as a function of the instances of abandonment. A recommendation for suggested content is inserted into the media content at the recommendation insertion point.

Insertion of media recommendations

Providing presence information within digital items is described. In one example, a server system receives presence information from a plurality of client devices. The presence information indicates a portion of a digital item associated with at least one user of each respective client device. The server system also receives a user identification request from a requesting client device to identify one or more users of the plurality of client devices associated with a particular portion of the digital item. Additionally, the server system identifies a user of a particular client device associated with the particular portion of the digital item based on the presence information of the particular client device and sends an identifier of the user of the particular client device to the requesting client device.

Providing presence information within digital items

Various processes are disclosed for discovering item relationships between particular items, such as products represented in an electronic catalog, based on monitored user behaviors (e.g., item viewing activities, item purchases, shopping cart activities, etc.). The discovered item relationships may, for example, be used to generate personalized item recommendations for users, and/or to supplement item detail pages of an electronic catalog with lists of related items. Also disclosed are processes for generating personalized item recommendations based on users' search activities and browse node visits.

Automated detection and exposure of behavior-based relationships between browsable items

Disclosed is a system for transitioning between views in a network page. An application that is executed in at least one computing device encodes a network page for rendering in a client, the network page including a region, and the region being configured for the rendering of at least two views. The network page is encoded to depict a transition between the two views. A first one of the views depicts at least one mechanism to add a depicted item in the network page to a list, and a second one of the views depicts at least a portion of the list. Once encoded, the network page is sent to the client.

Method, medium, and system for flipping a list

Organizing collaborative annotations of digital items is described. In a particular embodiment, a server system receives a filter request from a client device to filter a plurality of annotations according to criteria included in the filter request. The plurality of annotations is stored at an annotations database coupled to the server system. The server system sends filter results to the client device based upon annotations matching the criteria of the filter request. The annotations may be filtered based on tags associated with respective annotations, where the tags categorize the respective annotations.

Organizing collaborative annotations

Disclosed are various embodiments for providing confirmations for list modifications. A network page is sent to a client. The network page includes one or more components for requesting that one or more items be added to a list of items. The item(s) are added to the list of items in response to a request from the client. A display region is encoded for rendering in the client as a layer superimposed on the network page. The display region includes a confirmation that the item(s) have been added to the list of items. The display region includes one or more undo components for requesting that a last modification to the list of items be reversed.

Growing community of inventors

Redmond, WA, United States of America

Brent Russell Smith