ASPIRE: Assistive System for Performance Evaluation in IR

• URL: http://arxiv.org/abs/2412.15759v1
• Date: Fri, 20 Dec 2024 10:25:28 GMT
• Title: ASPIRE: Assistive System for Performance Evaluation in IR
• Authors: Georgios Peikos, Wojciech Kusa, Symeon Symeonidis,
• Abstract summary: ASPIRE (Assistive System for Performance Evaluation in IR) is a visual analytics tool for in-depth analysis of Information Retrieval experiments. ASPIRE supports four key aspects of IR experiment evaluation and analysis: single/multi-experiment comparisons, query-level analysis, query characteristics-performance interplay, and collection-based retrieval analysis.
• Score: 1.9441753575523208
• License:
• Abstract: Information Retrieval (IR) evaluation involves far more complexity than merely presenting performance measures in a table. Researchers often need to compare multiple models across various dimensions, such as the Precision-Recall trade-off and response time, to understand the reasons behind the varying performance of specific queries for different models. We introduce ASPIRE (Assistive System for Performance Evaluation in IR), a visual analytics tool designed to address these complexities by providing an extensive and user-friendly interface for in-depth analysis of IR experiments. ASPIRE supports four key aspects of IR experiment evaluation and analysis: single/multi-experiment comparisons, query-level analysis, query characteristics-performance interplay, and collection-based retrieval analysis. We showcase the functionality of ASPIRE using the TREC Clinical Trials collection. ASPIRE is an open-source toolkit available online: https://github.com/GiorgosPeikos/ASPIRE

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