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At Indeed We help people get jobs. We improve search relevance by creating occupational and attributes taxonomies that accommodate different international markets. Occupational categories across markets show a great deal of consistency. This allows flexible design in hierarchical structures that fit the needs of a corpus in constant change. But when we consider the simplest elements of jobs: degrees, credentials, skills, etc., we open a window into the normative context of institutions and the regulative practices of labor in different countries.
Indeed
https://www.indeed.com/about
Mel G. Orozco is an International Taxonomy Analyst at Indeed where she brings in her knowledge of the Mexican market to different projects. During this year, she’s been closely following Indeed’s ontology development. Prior to joining Indeed, she was appointed professor at the Autonomous University of Queretaro, Mexico where she taught Epistemology and History of Psychology courses.
Foundational research in information seeking behavior is often ignored in chat bot, or other "conversational AI" technologies. In this presentation a case study will be used to illustrate the importance of Marcia Bates' work in information seeking behavior when designing conversational AI and the ontologies needed to support many aspects of the problem space.
Factor
https://factorfirm.com/
Gary Carlson helps enterprise-level companies boost revenue, increase customer satisfaction, and improve efficiency through well-executed information and knowledge management initiatives.
