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CRS-Que

Emerging
1papers using it
2026first seen

The 'CRS-Que' is an 18-dimensional framework used to evaluate user-centric qualities of Conversational Recommender Systems, such as satisfaction, trust, and rapport, based on annotations of static dialogue logs.

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Papers using CRS-Que (1)

CRS-Que — datasets — recommender-systems