Ntt Docomo, Inc.

Hyung Sik Shin

Fujio Watanabe

Hongfeng Yin

Motoharu Miyake

Yoshikazu Akinaga

Pero Subasic

Sayandev Mukherjee

Ronald Sujithan

Yang Sun

Ismail Guvenc

Daichi Funato

A system and method is provided to analyze a database of concepts organized into categories, wherein each concept is an online textual document, to determine a numerical relationship between the concepts and to determine a hierarchy for the categories.

Generating resources for support of online services

A system and method is provided that processes a training database of human-generated requests in each of a plurality of task categories with a machine learning algorithm to develop a task classifier model that may be applied to subsequent user requests to determine the most likely one of the task categories for the subsequent user request.

Automatic task classification based upon machine learning

Methods and apparatuses are disclosed herein for population tracking, counting and/or movement estimation. In one embodiment, the method comprises receiving mobile phone operational data indicative of user equipment location, where the event data includes location area update messages and periodic registration messages; and performing travel estimation based on the mobile phone operation data, including performing interpolation on data associated with one or more individuals in a population to estimate intermediate positions of a trajectory of each of the one or more individuals for a specified time period based on a shortest path mesh sequence estimation algorithm.

System and method for population tracking, counting, and movement estimation using mobile operational data and/or geographic information in mobile network

Growing community of inventors

Palo Alto, CA, United States of America

Hyung Sik Shin