Demonstrating a Service-Enhanced Retrieval System

TL;DR

This paper presents an information retrieval system that integrates three model-driven services—co-word analysis, Bradfordizing, and author centrality—to enhance document ranking and enable iterative, interactive search refinement.

Contribution

It introduces a novel retrieval system that combines multiple model-driven services for improved relevance and user interaction in information retrieval.

Findings

Services favor different relevant documents

Interactive combination improves retrieval quality

System supports iterative refinement

Abstract

This paper is a short description of an information retrieval system enhanced by three model driven retrieval services: (1) co-word analysis based query expansion, re-ranking via (2) Bradfordizing and (3) author centrality. The different services each favor quite other - but still relevant - documents than pure term-frequency based rankings. Each service can be interactively combined with each other to allow an iterative retrieval refinement.