Modeling Interactive Information Retrieval and Social Media Interaction as Stochastic Processes

  • Citation-Key:
    Fuhr:18ta
  • Title:
    Modeling Interactive Information Retrieval and Social Media Interaction as Stochastic Processes
  • Author(s):
    Norbert Fuhr
  • How published:
    Invited talk at the University of Padova, Italy
  • Year:
    2018

Abstract:


Stochastic models have a long history in IR. For modeling sequences of interactions, different variants of Markov models have been proposed by a number of researchers. Here a user moves stochastically between different model states, which are not directly observable; instead, some signal is emitted along with each transition. For applying these models to interactive retrieval, we aim at modeling search progress at a level that is comparable to cognitive models. This allows for user-oriented analysis of interactive IR, for user guidance and for stochastic simulations of interactive IR. As a second application domain, we regard social media interaction, focusing on rumor detection and veracity in Twitter streams. Experimental results from both domains show that these approaches are well-suited for dealing with real-world data.

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