Investigation of quantum-inspired modelling in interactive search based on information foraging theory
AuthorsJaiswal, Amit Kumar
supply chain social sustainability
social sustainability performance
emerging African economies
Subject Categories::N120 International Business studies
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AbstractThis thesis investigates the use of the mathematical formalism of quantum mechanics for modelling users’ information needs from the viewpoint of Information Foraging Theory (IFT). IFT has been successfully applied to model user behaviours and preferences in the information retrieval (IR) process, which motivates this work that hypothesises IFT can enhance user interaction and the effectiveness of typical IR and recommendation tasks, such as multimodal query auto-completion and image recommendation. During interactive IR sessions, users’ information needs often evolve, which requires more system assistance and support to capture these dynamics. The users’ information needs in such an interactive session compared to the typical unambiguous query terms tend to be multi-semantic and heuristic in the way of natural languages. In an effort to solve this problem, an interactive multimedia and multimodal IR system is developed based on a quantum-inspired mathematical framework utilising Hilbert spaces. Based on IFT, the key methodology involves characterising the users’ multimodal information needs. The users’ multimodal information needs are integrated into the IR system through a projective transformation that follows mathematical constructs of the quantum probabilistic framework. The proposed quantum-inspired interactive framework is evaluated through an image retrieval task, which allows a multi-iteration of textual queries for finding specific images in a search session supported by auto query completion and visual query cues. Our main findings are: in an interactive multimodal IR context, multisemantic queries effectively help to confirm users’ information needs in a session; from the spatial context of IR, our framework captures the dynamics of evolving information needs and reflects the historical interaction of the multimodal IR process. This dissertation, therefore, provides comprehensive insights and findings about the usage of the quantum probabilistic framework in interactive IR. It exhibits the usefulness of the quantum-inspired IR framework to fine-grained user aspects based on IFT, enhancing the representation and modelling constructs to explicit the information retrieval behaviours and preferences.
CitationJaiswal, A. K. (2023) 'Investigation of Quantum-inspired Modelling in Interactive Search based on Information Foraging Theory'. PhD thesis. University of Bedfordshire.
PublisherUniversity of Bedfordshire
TypeThesis or dissertation
DescriptionA thesis submitted to the University of Bedfordshire, in partial fulfilment of the requirements for the degree of Doctor of Philosophy
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