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20212024
most citedLearning Recommendations from User Actions in the Item-poor Insurance Domain

8 citations · 12 across the 4 of their papers we have counts for

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cs.IR2024★ 2 cited

Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain

Simone Borg Bruun, Christina Lioma, Maria Maistro

Providing personalized recommendations for insurance products is particularly challenging due to the intrinsic and distinctive features of the insurance domain. First, unlike more…