This manuscript discusses our ongoing work on ranx, a Python evaluation library for Information Retrieval. First, we introduce our work, summarize the already available functionalities, show the user-friendly nature of our tool through code snippets, and briefly discuss the technologies we relied on for the implementation and their advantages. Then, we present the upcoming features, such as several Metasearch algorithms, and introduce the long-term goals of our project.
Bassani, E. (2022). Towards an Information Retrieval Evaluation Library. In CEUR Workshop Proceedings. CEUR-WS.
Towards an Information Retrieval Evaluation Library
Bassani E.
Primo
2022
Abstract
This manuscript discusses our ongoing work on ranx, a Python evaluation library for Information Retrieval. First, we introduce our work, summarize the already available functionalities, show the user-friendly nature of our tool through code snippets, and briefly discuss the technologies we relied on for the implementation and their advantages. Then, we present the upcoming features, such as several Metasearch algorithms, and introduce the long-term goals of our project.
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