Microsoft Technology Licensing, LLC

Synopsys, Inc.

Other

Linkedin Corporation

Reflektion, Inc.

Hsiao-Ping Tseng

Rupesh Gupta

Romer E Rosales

Ravi Kiran Holur Vijay

Joshua Daniel Hartman

Rishi Jobanputra

Shaunak Chatterjee

Amar Chokhawala

Shubhanshu Nagar

Cameron Alexander Lee

Rohit Kumar

Narendra Nimmagadda

Sushant Shankar

Saumil Sanjay Shah

Hua Wen

Ryan Oblak

Zhong Wang

Karthik Ramaseshan Kalpat

Daniel ManHung Wong

Michael D Dixon

Xiaoyu Chen

Jinyun Yan

Hamid Savoj

Romer E Rosales-Delmoral

Alexander Ovsiankin

David Berthelot

Rajeev Madhavan

Mercedes Mapua

Patrick Mihelich

Win Min

James D Tucek

A system includes a computer storage device to store a first and second set of information about individuals, and user interface design components. A computer server is coupled to the computer storage and is programmed to receive a request for a webpage from an individual's device and analyze the first and second set of information to predict differences in at least one key performance indicator for that individual. The server is further programmed to automatically select a user interface design component for presentation to the individual, automatically generate and transmit a first customized webpage with the selected user interface design component to the device, and in response to an interaction with the selected user interface design component on the first customized webpage, automatically generate and transmit a second customized webpage to the device to create a customized page flow.

Creation and delivery of individually customized web pages

A system and method for content generation and targeting using machine learning are provided. In example embodiments, a probability that a user will visit a webpage based on historical data is calculated. A probability that the user will engage with a particular content category based on past user engagement is calculated. In response to the probability of the user engaging with the particular content category being equal to or greater than a first threshold, the content is generated. Further, in response to the probability of the user not visiting a webpage meeting or exceeding a second threshold, the generated content is sent to the user.

Content generation and targeting using machine learning

This disclosure relates to systems and methods that include configuring a machine learning system to train on a plurality of messages, the machine learning system to output an expected number of positive responses and an expected number of negative responses based on an input message, determining a threshold differential and a weight value using responses to the plurality of messages, and sending the input message in response to a differential between the expected number of positive responses and the weight multiplied by the expected number of negative responses being above the threshold differential.

Deterministic message distribution

This disclosure relates to systems and methods that include configuring a machine learning system to train on a plurality of messages transmitted to target groups of an online social networking service, determining a threshold differential and a weight value using responses to the plurality of messages, and send the input message to the target in response to a differential between the expected number of positive responses and the weight multiplied by the expected number of negative responses being greater than the threshold differential.

Techniques for expanding a target audience for messaging

This disclosure relates to systems and methods for managing multiple messages. In one example, a method includes determining a message transmission frequency threshold for a member of an online social networking service using responses from the member; receiving a message that is to be transmitted to the member; storing the message, without transmitting the message to the member, in a digest of messages for the member; and transmitting the digest to the member in response to a send score for the digest exceeding a send score threshold, the send score calculated using the number of messages in the digest.

Managing multiple messages

Computer implemented techniques are disclosed for fixing signal hold-time violations in semiconductor chips. Analysis includes estimation of hold-time requirements using ideal clocks. Allocation of placement regions within the design and near the macro circuits allows for later placement and wiring use during layout hold-time fixing. The placement region sizes are based on estimates of the needed buffers. Nets, within the design for detail routing, are ordered such that nets with hold-time violations are wired later, thus fixing hold-time violations without scaling or adding further buffers. Hold times are re-evaluated once wiring of track routes is complete.

Fixing of semiconductor hold time

Systems and methods for providing push notifications of social network content items include determining first and second engagement values for first and second content items, respectively, provided by first and second content item sources, respectively, based on previous interactions with content items. First and second utility values are determined for the first and second content items, respectively, based on a mathematical operation applied to the first and second engagement values, respectively, the first and second selection metrics, respectively, and, for the first utility value, the value metric. One of the first and second content items are determined as a push content item based on a difference between the first and second utility values and displayed on a user device.

Second-pass ranker for push notifications in a social network

A web page or group of pages can be automatically generated based on images selected by a user. The images are analyzed for color and groups of colors for the page background and image framing are determined. Images are analyzed to determine the shapes of the images and the images are placed within appropriate shapes on a page on the web. Click-through rate can be estimated for images and this click-through rate used during the web page generation. Important sections are evaluated in the images and cropping may occur for the images on a page. Text and video can be part of the web page. Software applications can be accessed from the web page as well. The online web pages can be tailored for presentation on a mobile device.

Image manipulation for web content

Semiconductor hold time fixing

A method is described for routing a semiconductor chip's global nets. The method includes identifying a subset of the global nets and routing the subset of global nets using multiple threads, where, each of the global nets within the subset are routed by one of the threads in isolation of the subset's other global nets. The method further includes identifying a second subset of the global nets and routing the second subset of global nets using the multiple threads, where, each of the global nets within the second subset are routed by one of the threads in isolation of the second subset's other global nets but in respect of the routes of first subset of global nets.

Multi-threaded global routing

Growing community of inventors

Fremont, CA, United States of America

Hsiao-Ping Tseng