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.
InProceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
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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.