Abstract: A system for adapting virtual reality (VR) or augmented reality (AR) content for learning based on a user's interests includes a personalization engine that determines a user's interests and knowledge level regarding a topic, a content modifier that modifies VR or AR content related to the topic according to the users interests and knowledge level, an object selector that selects VR and AR models used to teach the topic during a VR or AR session and modifies the VR and AR models with the modified content based on the user's interests and knowledge level; a VR engine that renders the modified VR and AR models into VR or AR images, and a VR display that displays the VR or AR images. The user's engagement is measured during interaction with the VR display and used to refine and improve an understanding of the user's interest and knowledge level regarding the topic.

Abstract: A textual content adaption method, system, and computer program product, include receiving a corpus of content, segmenting the content into sections, determining a classification for each section by determining an audience and an expertise level for the section, determining a baseline for a user, modifying a portion of content from the corpus based on the classification of the sections included in the portion of content and based on the baseline of the user, and providing the modified portion of content to the user.

Abstract: A system for adapting virtual reality (VR) or augmented reality (AR) content for learning based on a user's interests includes a personalization engine that determines a user's interests and knowledge level regarding a topic, a content modifier that modifies VR or AR content related to the topic according to the users interests and knowledge level, an object selector that selects VR and AR models used to teach the topic during a VR or AR session and modifies the VR and AR models with the modified content based on the user's interests and knowledge level; a VR engine that renders the modified VR and AR models into VR or AR images, and a VR display that displays the VR or AR images. The user's engagement is measured during interaction with the VR display and used to refine and improve an understanding of the user's interest and knowledge level regarding the topic.

Abstract: A method and system of characterizing a job market is provided. The available job postings of a job market are determined. For each job posting, one or more technical skills, a job role level, and one or more professional capabilities related to the job posting are determined. The professional capabilities are aggregated by job dimensions. The determined technical skills and the professional capabilities of each job posting and the aggregated professional capabilities are stored in a database as reference data. A job capability profile for one or more job dimensions is provided based on the stored reference data in the database.

Abstract: To evaluate impact to a brand on social media, a computer is used to crawl through social media postings of social media services to select postings relating to one or more sponsored events. The selected postings are analyzed by computer to quantify keywords relating to particular brands. Images posted within the selected postings are also analyzed, using a pattern matching algorithm, to quantify depictions of the one or more brands within the images.

Abstract: Embodiments are directed to a computer implemented method of analyzing image data. The method includes receiving, using a processor system, image data of one or more images and associated text data that have been posted by a user. The method further includes analyzing the image and text data to extract one or more image and one or more text features, and analyzing the one or more image and one or more text features to predict personality traits, needs and values of the user.