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Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
Learning from heterogeneous data poses challenges such as combining data...
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Revisit Recommender System in the Permutation Prospective
Recommender systems (RS) work effective at alleviating information overl...
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Personalized Adaptive Meta Learning for Cold-start User Preference Prediction
A common challenge in personalized user preference prediction is the col...
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Multi-task MR Imaging with Iterative Teacher Forcing and Re-weighted Deep Learning
Noises, artifacts, and loss of information caused by the magnetic resona...
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Distant Supervision for E-commerce Query Segmentation via Attention Network
The booming online e-commerce platforms demand highly accurate approache...
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Balanced Order Batching with Task-Oriented Graph Clustering
Balanced order batching problem (BOBP) arises from the process of wareho...
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EdgeRec: Recommender System on Edge in Mobile Taobao
Recommender system (RS) has become crucial module in commercial systems....
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Parameter Constrained Transfer Learning for Low Dose PET Image Denoising
Positron emission tomography (PET) is widely used in clinical practice. ...
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Conceptualize and Infer User Needs in E-commerce
Understanding latent user needs beneath shopping behaviors is critical t...
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Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU
Recently, interactive recommender systems are becoming increasingly popu...
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Exact-K Recommendation via Maximal Clique Optimization
This paper targets to a novel but practical recommendation problem named...
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Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce
Nowadays, more and more customers browse and purchase products in favor ...
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Product Title Refinement via Multi-Modal Generative Adversarial Learning
Nowadays, an increasing number of customers are in favor of using E-comm...
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Query Tracking for E-commerce Conversational Search: A Machine Comprehension Perspective
With the development of dialog techniques, conversational search has att...
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Automatic Generation of Chinese Short Product Titles for Mobile Display
This paper studies the problem of automatically extracting a short title...
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Deep Cascade Multi-task Learning for Slot Filling in Chinese E-commerce Shopping Guide Assistant
Slot filling is a critical task in natural language understanding (NLU) ...
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Representing Verbs as Argument Concepts
Verbs play an important role in the understanding of natural language te...
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