Dolby Laboratories Licensing Corporation

Microsoft Technology Licensing, LLC

Ebay, Incorporated

Dolby International Ab

Dobly Laboratories Licensing Corporation

Dobly International Ab

Shen Huang

Yongzheng Zhang

Xuejing Sun

Dan Shen

Catherine Baudin

Glenn N Dickins

Jian Wang

Lars Villemoes

Chi-Yi Kuan

Neelakantan Sundaresan

Shuhui Chen

Michael Eckert

Doh-Suk Kim

Zheng Chen

Huan Hoang

Heiko Purnhagen

Min Wang

Kai Lin Li

Raghav Gupta

Jian-Tao Sun

Xiaoyuan Wu

Hu Wang

Zhou Jin

Ming Zhou

Rui Zhao

Mark Stuart Vinton

Hua-Jun Zeng

Harald Mundt

Richard James Cartwright

Yu Wang

Yue Li

Zhiwei Shuang

Dong Shi

Hannes Muesch

Kai Li

Li Yang

Paul Ko

Poppy Crum

Quan Wang

Kaiyu Yang

Shady Elasra

Fanbin Bu

Johnson Wang

Clayton Sanford

Michael Charles Zinzan Fairley

Wanyan Xie

Eric Weber

Yanjin Kuang

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

Systems and methods for providing forward error correction for a multi-channel audio signal are described. Blocks of an audio stream are buffered into a frame. A transformation can be applied that compacts the energy of each block into a plurality of transformed channels. The energy compaction transform may compact the most energy of a block into the first transformed channel and to compact decreasing amounts of energy into each subsequent transformed channel. The transformed frame may be encoded using any suitable codec and transmitted in a packet over a network. Improved forward error correction may be provided by attaching a low bit rate encoding of the first transformed channel to a subsequent packet. To reconstruct a lost packet, the low bit rate encoding of the first channel for the lost packet may be combined with a packet loss concealment version of the other channels, constructed from a previously-received packet.

Selective forward error correction for spatial audio codecs

An embodiment of the disclosed technologies includes extracting, from an online connection network, digital data comprising target profile data and current profile data; where the target profile data is associated with an online submission process that has a plurality of possible outcomes and is executable via the online connection network; where the current profile data is associated with a member node of the online connection network; using an active learning process, in response to the current profile data, identifying attribute data that is in the target profile data but is not in the current profile data and is predicted to have a relationship with a positive outcome of the online submission process; outputting the attribute data for use by a downstream process or an automated digital assistant to determine a digital resource to associate with the member node through the online connection network or through an online learning system.

Using outcome-targeted gap predictions to identify a digital resource

Techniques are provided for predicting talent flow to and/or from a geographical region. In one technique, multiple entity profiles are stored and analyzed to generate training data that is labeled indicating whether a corresponding entity has moved to or moved from a region. A machine-learned prediction model is generated or trained based on the training data. Using the machine-learned prediction model, a prediction is made whether, for each entity corresponding to another entity profile, that entity will move to or move from a particular geographic region. Based on multiple predictions, a number of entities that are predicted to move to or move from the particular geographic region is determined. Talent flow data that is based on the number of entities is presented on a computer display.

Machine learning techniques to predict geographic talent flow

A service request for communication services for communication clients is received. In response, a communication service network is set up to support the communication services. Routing metadata is generated for each of the communication clients. The routing metadata is to be used by each of the communication clients for sharing service quality information with a respective peer communication client over a light-weight peer-to-peer (P2P) network. The routing metadata is downloaded to each of the communication clients. A communication client may exchange service signaling packets or service data packets over the communication service network. When the communication client determines that there is a problematic region in a bitstream received from the communication server, the communication client can request a peer communication client for a service quality information portion related to the problematic region.

In-service quality monitoring system with intelligent retransmission and interpolation

A method and system for determining links for a linking page are provided. For each linking page of a plurality of linking pages, a similarity score between each linking page and each linked-to page is generated. Each linked-to page is associated with each linking page. Based on the similarity scores generated for each linking page, a set of linked-to pages for each linking page is identified. An importance score for the linking page is also generated. Identities of the plurality of linking pages, identities of the set of linked-to pages identified for each linking page, and the importance score for each linking page are stored as input. Based on the input, for each linking page, a subset of the set of linked-to pages identified for each linking page is assigned by a model.

Optimization of links to electronic content

In an example embodiment, profile and/or usage data of a social networking service is leveraged to automatically generate potential career paths for users of the social networking service. Additionally, specific recommendations as to actions the users can take to increase their odds of progressing along particular career paths can be determined, and these recommendations can be shared with users. Both recommendations may be performed in a manner that is scalable for personalized service.

Career path recommendation engine

This disclosure falls into the field of voice communication systems, more specifically it is related to the field of voice quality estimation in a packet based voice communication system. In particular the disclosure provides a method and device for reducing a prediction error of the voice quality estimation by considering the content of lost packets. Furthermore, this disclosure provides a method and device which uses a voice quality estimating algorithm to calculate the voice quality estimate based on an input which is switchable between a first and a second input mode.

Methods and devices for improvements relating to voice quality estimation

Methods, systems, and computer programs are presented for selecting features for a machine-learning model configured to detect anomalies in the evolution of data over time. One method includes an operation for identifying one or more key fields and value fields from the fields in a relational database. The method also includes grouping data of the value fields based on values of the one or more key fields and calculating one or more statistical values for each group of data of the value fields. The method further includes operations for monitoring an evolution of the one or more statistical values over time, and for selecting, based on the evolution of the one or more statistical values over time, features to be used by a machine-learning model to detect anomalies in content of the relational database over time. The method also includes executing the machine-learning model to detect the anomalies.

Automatic feature generation for machine learning in data-anomaly detection

The disclosed embodiments provide a system for performing A/B testing for search engine optimization (SEO). During operation, the system divides a set of web pages into a control group, an inbound treatment group, an outbound treatment group, and a full treatment group. Next, the system generates a first set of links from the outbound treatment group to the inbound treatment group and a second set of links within the full treatment group. The system then applies an A/B test to pairs of groups selected from the control group, the inbound treatment group, the outbound treatment group, and the full treatment group. Finally, the system outputs a result of the A/B test for use in assessing an effect of the first and second sets of links on search engine results associated with the set of web pages.

A/B testing for search engine optimization

Techniques for delaying the transmission of a message to one or more recipients using an alert in order to provide data protection and security with respect to data included in the message are disclosed herein. In some embodiments, a computer-implemented method comprises: receiving a request to transmit a message from a computing device of a user to a recipient, the request comprising content of the message; detecting an issue with the request using at least one classifier to classify the request as having the issue; generating an alert based on the detecting of the issue; and prior to transmitting the message to a destination associated with the recipient, causing the generated alert to be displayed on the computing device of the user, the alert indicating the issue with the message.

Data protection using alerts to delay transmission

In one technique, one or more search criteria associated with a first user are determined. Based on the one or more search criteria, a search of a first set of users is performed. As a result of the search, a subset of the first set of users is identified. A second set of users that have responded to messages from users in the subset is identified. Instances of attribute values of an attribute of the second set of users are aggregated to generate aggregated values, each of which corresponds to a different attribute value of the attribute values. Based on one or more of the aggregated values, content that is related to one or more attribute values that correspond to the one or more aggregated values is determined and presented to the first user.

Expanding activity channels in an online network

Growing community of inventors

Beijing, China

Shen Huang