How to Do Search Query Analysis: Mining Demand and Product Gaps from Query Logs
How to do search query analysis: turn query logs into a zero-cost demand sample via termization, zero-result governance, rewrite attribution, and a closed loop.
How to do search query analysis: turn query logs into a zero-cost demand sample via termization, zero-result governance, rewrite attribution, and a closed loop.
Vector search in production: map queries and docs into a semantic space, replace brute-force with ANN, pick HNSW or IVF+PQ with hybrid retrieval plus reranking.
Site search UX optimization links autocomplete, correction, synonyms, faceted filters and zero-result recovery as one loop via latency and zero-result rate.
Search ROI is hard to measure: a three-layer usage-quality-revenue measurement, contribution vs incremental conversion, an ROI formula, and four misjudgments.
Enterprise knowledge base search fails when documents scatter and permissions differ. Rollout: ingestion, permission alignment, metadata, ranking, governance.
WeCom