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PAS: A Position-Aware Similarity Measurement for Sequential Recommendation
The common item-based collaborative filtering framework becomes a typical recommendation method when equipped with a certain item-to-item similarity measurement.
Integrating User and Agent Models: A Deep Task-Oriented Dialogue System
Then the built user model is used as a leverage to train the agent model by deep reinforcement learning.
Partially Observable Markov Decision Process for Recommender Systems
We report the "Recurrent Deterioration" (RD) phenomenon observed in online recommender systems.
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