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Generative Inverse Deep Reinforcement Learning for Online Recommendation
Deep reinforcement learning enables an agent to capture user's interest ...
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On Offline Evaluation of Recommender Systems
In academic research, recommender models are often evaluated offline on ...
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A Re-visit of the Popularity Baseline in Recommender Systems
Popularity is often included in experimental evaluation to provide a ref...
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CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network
In a large recommender system, the products (or items) could be in many ...
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UFTR: A Unified Framework for Ticket Routing
Corporations today face increasing demands for the timely and effective ...
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CASE: Context-Aware Semantic Expansion
In this paper, we define and study a new task called Context-Aware Seman...
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Efficient Approximation Algorithms for Adaptive Seed Minimization
As a dual problem of influence maximization, the seed minimization probl...
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ChID: A Large-scale Chinese IDiom Dataset for Cloze Test
Cloze-style reading comprehension in Chinese is still limited due to the...
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DeepRec: An Open-source Toolkit for Deep Learning based Recommendation
Deep learning based recommender systems have been extensively explored i...
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Targeted Sentiment Analysis: A Data-Driven Categorization
Targeted sentiment analysis (TSA), also known as aspect based sentiment ...
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A Study on Agreement in PICO Span Annotations
In evidence-based medicine, relevance of medical literature is determine...
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Understanding Stability of Medical Concept Embeddings: Analysis and Prediction
In biomedical area, medical concepts linked to external knowledge bases ...
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A Survey on Deep Learning for Named Entity Recognition
Named entity recognition (NER) is the task to identify text spans that m...
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Next Item Recommendation with Self-Attention
In this paper, we propose a novel sequence-aware recommendation model. O...
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Dynamic Intention-Aware Recommendation with Self-Attention
Predicting the missing values given the observed interaction matrix is a...
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NeuRec: On Nonlinear Transformation for Personalized Ranking
Modelling user-item interaction patterns is an important task for person...
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Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All
Collective entity disambiguation, or collective entity linking aims to j...
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