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Found 4 papers, 2 papers with code
Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation
Specifically, MHCPL timely chooses useful social information according to the interactive history and builds a dynamic hypergraph with three types of multiplex relations from different views.
Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning
Conversational recommendation systems (CRS) aim to timely and proactively acquire user dynamic preferred attributes through conversations for item recommendation.
On-device Training: A First Overview on Existing Systems
A majority of the early application systems focused on exploiting the inference capabilities of ML and DL models, where data captured from different mobile and embedded sensing components are processed through these models for application goals such as classification and segmentation.
AdaCoach: A Virtual Coach for Training Customer Service Agents
With the development of online business, customer service agents gradually play a crucial role as an interface between the companies and their customers.
