Provenance in Keyword Search
Summary: Advocates systematically recording provenance of keyword-search scoring to make ranking explainable and to address limitations of current explainers (e.g., Lucene). Proposes three components: a scoring ontology, an XML scoring schema with parametric natural-language annotations, and a provenance query language/UI to answer how-/why-/where-provenance. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Wensheng Wu
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