Ebay, Incorporated

International Business Machines Corporation

Paypal, Inc.

Neha Net Corp.

Other

Neelakantan Sundaresan

Robinson Piramuthu

Anurag Bhardwaj

Nishith Parikh

Jean-David Ruvini

Wei Di

Badrul M Sarwar

Chi-Hsien Chiu

Jatin Chhugani

Mihir Naware

Jonathan Su

Gyanit Singh

Roopnath Grandhi

Zeqian Shen

Hill Trung Nguyen

Anita Wai-Ling Huang

Reiner Kraft

Zahid N Ahmed

Randall Scott Shoup

Jeonghee Yi

Josep M Ferrandiz

Adrian Nicholas Cockcroft

Raghav Gupta

Sandra Lynn Godsey

Brian Scott Johnson

Alec Reitter

Kavita Ganesan

Hendrick Lee

Elizabeth F Churchill

Muhammad Raffay Hamid

Atish Das Sarma

Si Si

Vignesh Jagadeesh

Shen Huang

Michael Lawrence Emens

Yongzheng Zhang

Eric Noel Billingsley

Harshal Ulhas Deo

Dan Shen

Catherine Baudin

Alvaro Bolivar

Brian M Johnson

Rajyashree Mukherjee

Venkat Sundaranatha

Musaab At-Taras

Udayan Khurana

Jason M Heidema

Benny Soetarman

Yue Lu

Karin Mauge′

Kristy Brambila

Cassandra Gordon

Enrica Montilla Beltran

Jishang Wei

Daniel Kramer

Mohammad Al Hasan

Patrick Crane

Alyssa Neckorcuk

Esmeralda Carrillo

Daniel T Chang

Jiri Medlen

Ankur Sharma

Mark Delun Yuan

Cheri Nola Leonard

Huaping Gu

Radoslav Valentinov Petranov

Vasilios Mitrokostas

Antoniya T Statelova

Lauren Olver

Denis Golovnya

Jeffrey Olson

Vitaliy Zinchenko

Sami Nicole Rollins

Marc Georges Girardot

Ravi V Condamoor

Christina Yip Chung

Nam Do

Andrew Yee

Kirk Lanciani

Steve Washington

Vikas Krishna

Sanjay Pundlkrao Ghatare

Jeffrey Thomas Kreulen

Hovey Raymond Strong

Matthias Eichstaedt

Nate L Lyman

Gal Ashour

Clifford V Harris

Kevin Snow McCurley

Suhail Ansari

Vipul C Dalal

Jared Joseph Jackson

Gunshekar Cemballi

Yuchen Zhao

James Ladd

Brandon Duncan

Evan Graziano

Joshua Jamilkowski

Zachary Kamsler

Benjamin Kidder

In various example embodiments, a system and method for using camera metadata for making recommendations are presented. At least one image file having camera metadata is received. The camera metadata of the at least one image file is analyzed to determine improvements to image capture aspects associated with the at least one image file. Feedback related to the improvements to the image capture aspects associated with the at least one image file is generated. In some embodiments, the feedback may be used to generate camera and other product upgrade recommendations.

Use of camera metadata for recommendations

Techniques for mapping size information associated with a client to target brands, garments, sizes, shapes, and styles for which there is no standardized correlation. The size information associated with a client may be generated by modeling client garments, accessing computer aided drawing (CAD) files associated with client garments, or by analyzing a history of garment purchases associated with the client. Information for target garments may be generated in a similar fashion. A system may then create a standardized scale with a set of sizes for a target, and map a client base size to that standardized size scale. Similar matching and mapping may also be done with shape and style considerations. A recommendation based on the mapping may then be communicated to the client.

Garment size mapping

Systems and methods for on demand local commerce are described. One example embodiment includes a device gathering location information and product interest associated with clients and client devices. The system may use location information in determining that the first plurality of client devices are within a first geographic area during a first time period, and may further use the interest information in calculating an interest level for a first product. A threshold may be identified and used in determining that the interest level for the first product exceeds the threshold. When the calculated interest level exceeds the threshold, a local commerce action is initiated. In various embodiments, the local commerce action may be a live on demand auction at a particular location, an offer associated with a geofenced area, a sales location recommendation to a merchant, or any other such local commerce action.

Systems and methods for on demand local commerce

An apparatus and method to adjust item recommendations are disclosed herein. A first image attribute of a query image is compared to a second image attribute of each of a plurality of inventory images of a plurality of inventory items to identify the inventory items similar to the query image. Item recommendations comprising the identified inventory items in a first listing order are provided for display at a remote device. A second listing order of the identified inventory items is determined based on a user preference for a particular one of the identified inventory items. At least the second listing order is provided to the remote device for re-display of the item recommendations in accordance with the second listing order.

Item recommendations based on image feature data

A method and a system process a stream of data in parallel across a plurality of nodes. The log processing system has a log module, a query language module, and a query processing module. The log module receives and organizes the stream of data into a sequential and nested data structure. The query language operator module defines operators that operate on the sequential and nested data structure. The query processing module processes in parallel across a plurality of nodes a query based on an operator on the stream of data.

Parallel data stream processing system

A system, computer-readable storage medium storing at least one program, and computer-implemented method for providing recommendations based on social network sharing activity. Sharing activity relating to the sharing of the content item on a social network by a first user is accessed. Consumption information related to the consumption of the content item. A correlation between the sharing activity and the consumption information is determined. A recommendation is then generated based on the correlation.

Social sharing system

Techniques for generating a digital wardrobe are presented herein. A transceiver can be configured to receive a request having a garment identifier and a user identifier. Additionally, an access module can be configured to access a first garment model, access a body model of the user corresponding to the user identifier, and access a second garment model corresponding to the user identifier. Furthermore, a processor can be configured by a garment simulation module to position the body model inside the first garment model and the second garment model, and calculate simulated forces based on the positioning. Moreover, a rendering module can be configured to generate an image of the garment models draped on the body model based on the calculated simulated forces. Subsequently, a display module can be configured to cause presentation of the generated image on a display of a device.

Digital wardrobe

Methods, apparatus, and systems to determine a niche market of items or services, the first phase of which identifies a gap between demand and supply for a set of items. Session logs may be evaluated to compare transactions involving a specific item to those of a larger group of items. The resultant information identifies areas of high demand, but with low availability. The niche market information may be provided as direct merchandising items for sellers. In one example, the method generates niche market item web pages in specific categories. Additional methods, apparatus, and systems are disclosed.

System and method for topic extraction and opinion mining

In various example embodiments, a system and method for an electronic commerce file system are provided. In example embodiments, a selection of an item contained in a folder of an electronic commerce file system is received. The item is offered for sale by an electronic commerce provider, and the electronic commerce file system resides locally on a client device. Based on a type of the folder, a set of actions are provided for selection, with the set of actions to be performed with respect to the item. A selection of an action to be performed with respect to the item is received. The action is performed with respect to the item, with the action being performed between the electronic commerce file system and the electronic commerce provider via a network.

Updating of stored item data via a remote computing system

The present disclosure is directed to providing supplemental content to one or more client devices requesting multimedia content. The supplemental content may be determined or selected based on the availability of one or more device channels, such as a display, speakers, or other component of the one or more client devices capable of providing an output. The supplemental content may also be selected based on one or more characteristics of the requested multimedia content, such as a genre, subject matter, or duration. Furthermore, the supplemental content may be determined or selected based on the portions of the requested multimedia content that are the most prominent or significant, such as any audio content, any video content, and/or any textual content. The supplemental content may be provided to the one or more client devices such that it is displayed before, during, or after the display of the requested multimedia content.

Multimodal content recognition and contextual advertising and content delivery

Apparatus and method for providing contextual recommendations based on user state are disclosed herein. In some embodiments, sensor data corresponding to at least one sensor included in an item worn by a user is received. A user state is determined based on the received sensor data. In response to a state change being satisfied by at least the user state, a recommendation is determined based on the user state and a profile associated with the user. The recommendation may be presented on an electronic mobile device associated with the user.

System and methods for recommendations based on wearable sensors

In one embodiment, a system and method is illustrated including receiving a feedback request identifying a particular user, retrieving a feedback entry in response to the feedback request, the feedback entry containing a first term, building a scoring model based, in part, upon a term frequency count denoting a frequency with which the first term appears in a searchable data structure, mapping the first term to a graphical illustration based upon a second term associated with the graphical illustration such that the graphical illustration may be used to represent the second term, and generating a feedback page containing the first term and the graphical illustration. The method may include assigning a value to the first term so as to identify the first term, assigning the first term to the searchable data structure, and extracting the first term from the searchable data structure based, in part, upon an extraction rule.

Visualization of reputation ratings

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Mountain View, CA, United States of America

Neelakantan Sundaresan