International Business Machines Corporation

Jeff H C Kuo

Chih-Wen Su

Li-Ju Chen

Ying-Chen Yu

Chien Pang Lee

John K C Lee

Wei-Hsiang Hsiung

Wai Man Lee

Ming Tung Lau

Yi-Hsin Cheng

One or more processors track internet usage of a user. The tracking includes tracking a first user input into one or more websites using a keylogging subprogram. One or more processors analyze the first user input. Analyzing the first user input includes using machine learning to gain knowledge of one or more interests of the first user based on the first user input. One or more processors determine a proximity of the first user to at least one point of interest within a first threshold distance of the first user while the first user is mobile, match at least one interest of the one or more interests of the first user with one or more interests associated with the at least one point of interest, and provide a notification that the first user is within the first threshold distance of the at least one point of interest.

Notification of proximal points of interest

A processor-implemented method for generating a test suite within a time requirement is provided. The processor-implemented method includes executing a rule selection operation to determine candidate test cases utilizing attributes corresponding to each of the candidate test cases to produce selected test cases. The processor-implemented method includes determining whether an estimated testing execution time of the selected test cases is equal to or less than the time requirement. The processor-implemented method includes generating the test suite based on the selected test cases when the estimated testing execution time is equal to or less than the time requirement.

Automatic machine-learning high value generator

One or more processors analyze at least one first user input. One or more processors determine one or more interests of a first user based, at least in part, on the at least one first user input. One or more processors determine a proximity of the first user to one or more points of interest within a first threshold distance of the first user while the first user is mobile. One or more processors match at least one interest of the first user with one or more interests associated with a point of interest of the one or more points of interest. One or more processors provide a notification that the first user is within the first threshold distance of the point of interest.

Routing a message to a recipient based on a topic associated with the message may include: receiving a message lacking a recipient address; searching for at least one recipient address based on a topic associated with the message; and sending the message to the at least one recipient address.

Routing a message based upon user-selected topic in a message editor

A system and method for identifying a phishing website is disclosed. Content associated with a website that a user is attempting to access is retrieved and translated into a format that a classifier can process. The classifier is trained to identify phishing attempts for a particular website or family of websites. The classifier processes the website to determine if the website is a phishing website. A scorer can determine the likelihood that the classifier classified the website correctly. If the website is determined to be a phishing website a protection component can deny access to the website. Otherwise the user can be permitted to access the website.

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Taipei, Taiwan

Jeff H C Kuo