A9.com, Inc.

Brocade Communications Systems, Inc.

Apple Inc.

Concept.io, Inc.

Amazon Technologies, Inc.

Avago Technologies International Sales Pte. Limited

Gurumurthy D Ramkumar

Gautam Bhargava

Supratik Bhattacharyya

Mark Andrew Ruzon

Arnab S Dhua

Nalin Senthamil

Bryan E Feldman

Sunil Ramesh

Arnab Sanat Kumar Dhua

Joseph I Chamdani

Raghavan Manmatha

Donald O Tanguay

Dominic J Hughes

Bruce L Younglove

Georgios Sofianatos

Corey R Hill

Keshav Menon

William F Stasior

Sonja E Hyde-Moyer

Anil A Sewani

Chris Cornelius

Dominic James Doran Hughes

Max Delgadillo

Rajasekhar Cherabuddi

David Brooks Hamilton

Steve E Marmon

Collin D Ruffenach

Joseph E Pelissier

Amogh Mahapatra

Pushkaraj Bhirud

Chi Wai Lau

Litko Chan

Hans Logan Henriquez

Xinyu Zhang

Parry Kejriwal

Vikas Deolaliker

Nalin Pradeep Senthamil

In some implementations, a computing device can present a multi-language grouping of topics. For example, the computing device can determine a primary and secondary language for a user of the computing device. The computing device can request configuration that includes a tag language mapping that can be used to translate topic tags corresponding to the secondary language to topic tags corresponding to the primary language. When the computing device receives tagged content items associated with the secondary language, the computing device can translate the secondary language tags corresponding to the tagged content items into semantically equivalent topic tags in the primary language. The computing device can then group primary language content items and secondary language content items into multi-language groupings based on the topics corresponding to the translated content item tags. The computing device can then present the multi-language topic groupings of content items.

Multi-language grouping of content items based on semantically equivalent topics

In some implementations, a computing system can determine how important an investment identifier is to a content item that mentions the investment identifier. For example, a content item may describe a story, event, etc., related to an investment identifier. The content item may mention the investment identifier by mentioning the investment identifier, proxies for the investment identifier, or other equivalents associated with the investment identifier. The computing system can determine locations in the content item where the investment identifier is mentioned and/or how frequently the investment identifier is mentioned. Based on the locations and/or frequency of mentions, the computing system can determine an importance score that represents how important the investment identifier is to the story described by the content item. The importance score can be stored in metadata for the content item and used when determining which content items to present to a user.

Determining importance of investment identifier to content of content item

Intelligent services are provided in a storage network using intelligent service modules that can be cabled to a switch external to the switch chassis and yet be managed as part of the switch's logical domain. Data and management communications between the intelligent service module and the core switch are provided through a 'soft-backplane' implemented using in-band communications through cabling attached between the switch and the intelligent service module rather than through a hardwired backplane within the chassis. Management communications from management software is directed to the switch, which handles the management functions relating to the intelligent service module or forwards the management requests to the intelligent service module for processing.

Federated management of intelligent service modules

Systems and methods track one or more points between images. A point for tracking may be selected, at least in part, on a determination of how discriminable the point is relative to other points in a region containing the point. A point of an image being tracked may be located in another image by matching a patch containing the point with another patch of the other image. A search for a matching patch may be focused in a region that is determined based at least in part on an estimate of movement of the point between images. Points may be tracked across multiple images. If an ability to track one or more points is lost, information about the points being tracked may be used to relocate the points in another image.

Tracking objects between images

In one exemplary aspect, a sorted list of scored media content episodes is received with a computing device of a user. Each respective media content episode is scored by an iterative autotuning prediction algorithm, and wherein each element of the sorted list of scored media content episodes comprises a value that represents a likelihood of a user listening to the respective media content episode and a reference to a location of the respective media content episode. A number of bytes of a download iteration for each media content episode is determined based on value that represents a likelihood of the user listening to the respective media content episode and an index of the respective media content episode in the sorted list. It is detected that a mobile device is in the preferred network. The download iteration is implemented for each media content episode when it is detected that the mobile device is in the preferred network.

Method and system of automatically downloading media content in a preferred network

Techniques for augmenting an image of an object captured and displayed in real time with associated content are disclosed. In one embodiment, the method for augmenting the image includes receiving information defining a sampled frame of a video being captured by an electronic device in substantially real time, determining information representative of an object captured in the sampled frame based on the received information, causing the determined information to match stored information defining a plurality of items to locate an item matched to the captured object, retrieving content associated with the matched item, and providing the retrieved content for display with the captured image on the electronic device. The retrieved content may be rendered in an overlay element that overlays the captured image displayed on the electronic device. The rendered content is configured to enable a user to interact with the content.

Augmenting a live view

Visual incongruity in search result sets may be reduced at least in part by searching an optimized visually significant subset of a category tree that categorizes a collection of content. The category tree may be optimized at build time at least in part by pruning with respect to visual coherence and by the size of the content collection subset referenced by particular categories. Content collection subset sizes both too large and too small can detract from the visual significance of a particular category. The visually significant subset of the category tree may be further optimized at query time by intersecting the visually significant subset with the query-associated sub-tree(s) and further pruning categories in the visually significant subset that have child categories in the visually significant subset. Searching with respect to the optimized visually significant subset can also improve search efficiency.

Refinement shape content search

In one exemplary embodiment, a method of a computerized media-content recommender includes receiving a user-judgment score based on an historical user-listening data with respect to a media content. A first prediction score for a user with respect to the media content is calculated with a media-content recommender. The media-content recommender includes a first set of prediction parameters. A first prediction error including a difference between the user-judgment score and the first prediction score is determined. At least one parameter value of the first set of prediction parameters is modified with a machine-learning optimization technique to generate a second set of prediction parameters. A second prediction score for the user with respect to the media content is calculated with a media-content recommender. A second prediction error including a difference between the user-judgment score and the second prediction score is calculated.

Method and system of iteratively autotuning prediction parameters in a media content recommender

Intelligent services are provided in a storage network using intelligent service modules that can be cabled to a switch external to the switch chassis and yet be managed as part of the switch's logical domain. Data and management communications between the intelligent service module and the core switch are provided through a 'soft-backplane' implemented using in-band communications through cabling attached between the switch and the intelligent service module rather than through hardwired backplane within the chassis. Management communications from management software is directed to the switch, which handles the management functions relating to the intelligent service module or forwards the management requests to the intelligent service module for processing.

Present invention relates to a method and system for automatic searching for information on a network in response to an image query sent by a user. The image query includes an image that is captured by using a mobile communications device with a camera. The image is processed to detect the text present in it. The detected text is then recognized using an OCR. Subsequently, the text is searched for matches in the corresponding domain database, selected from the various domain databases present in the network. Thereafter, selected matches and additional related information is sent to the user.

Method and system for searching for information on a network in response to an image query sent by a user from a mobile communications device

Growing community of inventors

Palo Alto, CA, United States of America

Gurumurthy D Ramkumar