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Self-Improving Customer Review Response Generation Based on LLMs
May 8, 2024, 4:47 a.m. | Guy Azov, Tatiana Pelc, Adi Fledel Alon, Gila Kamhi
cs.CL updates on arXiv.org arxiv.org
Abstract: Previous studies have demonstrated that proactive interaction with user reviews has a positive impact on the perception of app users and encourages them to submit revised ratings. Nevertheless, developers encounter challenges in managing a high volume of reviews, particularly in the case of popular apps with a substantial influx of daily reviews. Consequently, there is a demand for automated solutions aimed at streamlining the process of responding to user reviews. To address this, we have …
abstract app apps arxiv case challenges cs.ai cs.cl customer customer review developers impact improving llms perception popular positive ratings review reviews studies them type
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