Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies.
Chirag ShahRyen W. WhiteReid AndersenGeorg BuscherScott CountsSarkar Snigdha Sarathi DasAli MontazerSathish ManivannanJennifer NevilleXiaochuan NiNagu RanganTara SafaviSiddharth SuriMengting WanLeijie WangLongqi YangPublished in: CoRR (2023)
Keyphrases
- language model
- user intent
- language modeling
- n gram
- document retrieval
- probabilistic model
- retrieval model
- information retrieval
- query logs
- test collection
- fine grained
- query terms
- query expansion
- smoothing methods
- web search
- relevance model
- user behavior
- document representation
- query reformulation
- co occurrence
- vector space model
- pseudo relevance feedback
- search experience
- multi modal