Evaluating the Suitability of Interpolation-Based Re-ranking For Ad-Hoc Retrieval

Bachelor thesis (2024)

Authors

L. Navarčíková Electrical Engineering, Mathematics and Computer Science

Contributors

Jurek Leonhardt L3S (mentor)
Avishek Anand Leibniz Universität (mentor)
A. Hanjalic Intelligent Systems (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science
More Info
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Published Date

28-06-2024

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Interpolation-based re-ranking emerged to make dense retrieval possible in low-latency applications such as web engine search. However, to this day there is no clear winner among the different ranking approaches. Moreover, missing document scores in hybrid retrieval have not been investigated in detail. This paper aims to address this by comparing the interpolation-based re-ranking with dense and hybrid retrieval approaches in terms of ranking performance and latency. It goes to show that while interpolation-based re-ranking has a notable latency advantage, hybrid retrieval achieves best performance in ranking metrics for an in-domain setting. Additionally, differences in missing document score techniques are slight with zero imputation emerging on top.