Abstract
Even the best information retrieval model cannot always identify the most useful answers to a user query. This is in particular the case with web search systems, where it is known that users tend to minimise their effort to access relevant information. It is, however, believed that the interaction between users and a retrieval system, such as a web search engine, can be exploited to provide better answers to users. Interactive Information Retrieval (IR) systems, in which users access information through a series of interactions with the search system, are concerned with building models for IR, where interaction plays a central role. In this paper, we propose a general framework for interactive IR that is able to capture the full interaction process in a principled way. Our approach relies upon a generalisation of the probability framework of quantum physics.
An extended version of this paper [1] contains the discussion about related works, a tutorial section about the relationship between quantum and classical probabilities, and an example of how the quantum formalism can be used to extend the Rocchio algorithm.
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References
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Piwowarski, B., Lalmas, M. (2009). A Quantum-Based Model for Interactive Information Retrieval. In: Azzopardi, L., et al. Advances in Information Retrieval Theory. ICTIR 2009. Lecture Notes in Computer Science, vol 5766. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04417-5_20
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DOI: https://doi.org/10.1007/978-3-642-04417-5_20
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