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Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data
To address the missing-modality problem, we further extend our semi-supervised multi-view model to deal with incomplete data, where a missing view is treated as a latent variable and integrated out during inference.
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users
In this paper, we propose a latent probabilistic generative model called LSARS to mimic the decision-making process of users' check-in activities both in home-town and out-of-town scenarios by adapting to user interest drift and crowd sentiments, which can learn location-aware and sentiment-aware individual interests from the contents of spatial items and user reviews.
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