Hsiao-Ping Tseng

Machine learning based methods for frequency control of messages.

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… Show more

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. Show less

Embodiments of the present disclosure relate generally o machine learning and, more particular, to content targeting and generation using machine learning.

Machine learning based methods and systems for selecting optimal content for push notification from a heterogenous pool of content.

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.

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.

A method is described for routing a semiconductor chip's global nets.

Machine learning and multi objective optimization based methods for efficient distribution of a portfolio of messages. Includes volume optimization, delivery time optimization and channel selection.

A system and method for behavior influenced search ranking may include obtaining, via a network interface, a search term from a user device. An initial result including a first group of the user profiles may be generated based on user profiles from a social network in relation to the search term, the user profiles stored in a profile database. A rank of each of the first group of the user profiles may be determined based, at least in part, on interactions from an activity database corresponding… Show more

A system and method for behavior influenced search ranking may include obtaining, via a network interface, a search term from a user device. An initial result including a first group of the user profiles may be generated based on user profiles from a social network in relation to the search term, the user profiles stored in a profile database. A rank of each of the first group of the user profiles may be determined based, at least in part, on interactions from an activity database corresponding to the first group of the user profiles, the activity database storing information indicative of activities related to the social network, the activities including the interactions. The user device may display a second group of the user profiles, including at least some of the first group of the user profiles, according to the rank of the first group of the user profiles. Show less

Machine learning and multi objective optimization based methods for efficient message distribution, i.e., volume optimization, delivery time optimization and channel selection.

Machine learning and multi objective optimization based methods for identifying target audience for messages.

Machine learning and multi objective optimization based methods for efficient message distribution, i.e., volume optimization, delivery time optimization and channel selection