Explainable and Interactive Simulated Annealing Strategy Ranking

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Abstract This short paper is about the first Explainable and Interactive Learning to Rank (LTR) Package in Information Retrieval (IR). This application is based on Combining the Simulated Annealing Strategy with (1+1) Evolutionary Strategy (SAS-Rank) which was introduced before as a learning algorithm for ranking in previous studies. In this application, ranking models of the offspring and parent chromosomes were shown during run time for each iteration. Furthermore, there are three options for changing the SAS-Rank parameters and seeing the evaluation results obtained. This application is the first application introducing interactive learning in the ranking problem domain for IR.

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