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Infrared target tracking based on proximal robust principal component analysis method
Infrared target tracking plays an important role in both civil and milit...
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Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
Interactive recommender system (IRS) has drawn huge attention because of...
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Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling
Sequential recommendation task aims to predict user preference over item...
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Deep Landscape Forecasting for Real-time Bidding Advertising
The emergence of real-time auction in online advertising has drawn huge ...
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Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction
User response prediction, which models the user preference w.r.t. the pr...
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Guiding the One-to-one Mapping in CycleGAN via Optimal Transport
CycleGAN is capable of learning a one-to-one mapping between two data di...
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Deep Recurrent Survival Analysis
Survival analysis is a hotspot in statistical research for modeling time...
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Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising
In online advertising, the Internet users may be exposed to a sequence o...
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Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising
Real-time bidding (RTB) based display advertising has become one of the ...
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Activation Maximization Generative Adversarial Nets
Class label information has been empirically proven to be very useful in...
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Real-Time Bidding by Reinforcement Learning in Display Advertising
The majority of online display ads are served through real-time bidding ...
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A Graph Traversal Based Approach to Answer Non-Aggregation Questions Over DBpedia
We present a question answering system over DBpedia, filling the gap bet...
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