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Alireza Javadian Sabet

0000-0001-9459-2411

PhD Student

US

I am a PhD student in the Department of Informatics and Networked Systems (DINS) at the University of Pittsburgh. I received my master's degree in computer science and engineering from Politecnico di Milano (PoliMi). I worked as a research fellow at the Data Science Lab and DEpendable Evolvable Pervasive Software Engineering group at PoliMi. My research interests lie in computational social science, natural language processing, knowledge extraction from social networks, business analysis, and context-aware recommender systems. Currently, I am conducting research on means to empirically study workforce development through education in order to inform policy decisions and improve upward mobility and access to opportunities.

Publications

  • https://scholar.google.com/citations?user=HhhPuo0AAAAJ&hl=en
  • D2.6 Final set of requirements and specification for complementary travel expert services
  • D2.1 First Conceptualization of Choice Criteria and Incentives
  • Analyzing Brand Awareness Strategies on Social Media in the Luxury Market: the Case of Italian Fashion
  • Social Media Data about the Big Four Fashion Weeks - Fall-Winter 2018
  • Context Awareness in the Travel Companion of the Shift2Rail Initiative
  • Towards learning travelers’ preferences in a context-aware fashion
  • D2.6 Final set of requirements and specification for complementary travel expert services - UML Model
  • THOR: A Hybrid Recommender System for the Personalized Travel Experience
  • Data-driven user profiling for smart ecosystems
  • Interpretable fake news detection with topic and deep variational models
  • Controlling personalized recommendations in two dimensions with a carousel-based interface
  • D2.4 Final Conceptualization of Choice Criteria and Incentives
  • D2.3 First Set of Requirements and Specification for complementary Travel Expert Services
  • Social media posts popularity prediction during long-running live events. A case study on fashion week
  • The role of social media in long-running live events: The case of the Big Four fashion weeks dataset
  • Interpretable Fake News Detection with Topic and Deep Variational Models
  • Graph-Based Conversation Analysis in Social Media
  • Preference Mining in the Travel Domain
  • SMART: Towards Automated Mapping between Data Specifications
  • Connecting Students with Research Advisors Through User-Controlled Recommendation
  • Analyzing Brand Awareness Strategies on Social Media in the Luxury Market: The Case of Italian Fashion on Instagram
  • Conversation Graphs in Online Social Media
  • A multi-perspective approach for analyzing long-running live events on social media. A case study on the “Big Four” international fashion weeks
  • A national longitudinal dataset of skills taught in U.S. higher education curricula
  • Course-Skill Atlas: A national longitudinal dataset of skills taught in U.S. higher education curricula

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