Clustering-based query representations with a novel multi-intent loss and a concordance rate metric improve healthcare search intent classification on two real-world log datasets.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Enhancing Healthcare Search Intent Recognition with Query Representation Learning and Session Context
Clustering-based query representations with a novel multi-intent loss and a concordance rate metric improve healthcare search intent classification on two real-world log datasets.