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Browse 3 real-world technical and behavioral interview questions about Relevance. Review scenarios, edge cases, and architectural best practices.
An inverted index maps terms to posting lists, built by an analysis chain that must run identically over documents and queries, ranked by BM25 plus business signals, and fed by a change stream of denormalised documents with reindexing behind an alias treated as routine.
Segment the query log first, then blend textual match with behavioural and business signals into a ranking you can explain, treat synonyms and merchandising overrides as owned content with expiry, and handle zero results as a designed page - while guarding against the click feedback loop.
With the zero-result queries, sorted by volume. Each one is a customer stating exactly what they wanted and being refused, the causes are mundane and fixable, and it is the only part of relevance work where you know for certain the current behaviour is wrong.