KDD 2022 | realize unified conversational recommendation through knowledge enhanced prompt learning

This paper proposes a unified dialogue recommendation system based on knowledge enhanced prompt learning . The existing dialogue recommendation system usually includes two modules: dialogue and recommendation , And adopt different models or technologies to realize , This leads to semantic inconsistency between modules . This paper adopts the paradigm of prompt learning to re model dialogue and recommendation subtasks , Thus, the dialogue and recommendation module can be easily implemented with a pre training model .

Thesis title ：Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning

Thesis link ：https://arxiv.org/abs/2206.09363

Paper code ：https://github.com/RUCAIBox/UniCRS