MATHNETICA
← All projects
Researchretrievalsemantic searchranking

Experimental Search Systems

Research into hybrid information retrieval combining lexical, semantic, graph, and contextual ranking methods.

Direction: Search and information retrieval

Research question

Can hybrid retrieval combine lexical, semantic, and graph signals in a way that remains measurable and reproducible when metadata is sparse or inconsistent?

Current plan

Current plan

  1. 01Define evaluation criteria and baseline retrieval pipelines.
  2. 02Implement competing hybrid architectures for controlled comparison.
  3. 03Benchmark on documented datasets and publish trade-off analysis.

Research outputs

Research outputs

  • Technical note · 2026-08

    Problem statement: hybrid retrieval under sparse metadata

    Defines the research question for Experimental Search Systems: when document metadata is incomplete or inconsistent, which combinations of lexical, semantic, and graph signals produce measurable retrieval gains?