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Evaluation of Hypothetical Document and Query Embeddings for Information Retrieval Enhancements in the Context of Diverse User Queries

In: Shaping the Digital Future Through Innovation and Practice

Author

Listed:
  • Marten Jostmann

    (viadee Unternehmensberatung AG)

  • Hendrik Winkelmann

    (viadee Unternehmensberatung AG)

Abstract

The task of Information Retrieval (IR) is the foundation of question-answering and information search systems. The complexity of these retrieval systems evolved to enable an effective search of a variety of documents based on users’ information needs. However, the quality of the retrieval results highly depends on the question phrasing and structure heavily influenced by the user’s age, expertise, background, and aim. This paper aims to close the gap between user-specific query structures and the content of various documents by employing the approaches Hypothetical Document Embeddings (HyDE) and Hypothetical Query Embeddings (HyQE). Both approaches achieve promising results in terms of effectiveness and robustness. An evaluation indicates that HyDE and HyQE outperform traditional retrieval methods such as BM25 and plain embedding methods.

Suggested Citation

  • Marten Jostmann & Hendrik Winkelmann, 2026. "Evaluation of Hypothetical Document and Query Embeddings for Information Retrieval Enhancements in the Context of Diverse User Queries," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Shaping the Digital Future Through Innovation and Practice, pages 203-211, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-08489-7_15
    DOI: 10.1007/978-3-032-08489-7_15
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