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09/17/2021
From Known to Unknown: Knowledge-guided Transformer for Time-Series Sales Forecasting in Alibaba
Time series forecasting (TSF) is fundamentally required in many real-wor...
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08/10/2021
End-to-End User Behavior Retrieval in Click-Through RatePrediction Model
Click-Through Rate (CTR) prediction is one of the core tasks in recommen...
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04/02/2021
GRN: Generative Rerank Network for Context-wise Recommendation
Reranking is attracting incremental attention in the recommender systems...
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02/28/2021
Explore User Neighborhood for Real-time E-commerce Recommendation
Recommender systems play a vital role in modern online services, such as...
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02/24/2021
Revisit Recommender System in the Permutation Prospective
Recommender systems (RS) work effective at alleviating information overl...
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12/22/2020
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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11/11/2020
Learning User Representations with Hypercuboids for Recommender Systems
Modeling user interests is crucial in real-world recommender systems. In...
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10/25/2020
Commonsense knowledge adversarial dataset that challenges ELECTRA
Commonsense knowledge is critical in human reading comprehension. While ...
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08/13/2020
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction
Click-through rate (CTR) prediction is a critical task for many industri...
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07/06/2020
Understanding Echo Chambers in E-commerce Recommender Systems
Personalized recommendation benefits users in accessing contents of inte...
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06/28/2020
Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation
Data sparsity is an inherent challenge in the recommender systems, where...
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05/25/2020
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation
Recommender system (RS) devotes to predicting user preference to a given...
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05/18/2020
EdgeRec: Recommender System on Edge in Mobile Taobao
Recommender system (RS) has become crucial module in commercial systems....
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07/11/2019
Privileged Features Distillation for E-Commerce Recommendations
Features play an important role in most prediction tasks of e-commerce r...
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06/24/2019
Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU
Recently, interactive recommender systems are becoming increasingly popu...
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05/17/2019
Exact-K Recommendation via Maximal Clique Optimization
This paper targets to a novel but practical recommendation problem named...
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05/15/2019
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba
Deep learning based methods have been widely used in industrial recommen...
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04/17/2019
Compositional Network Embedding
Network embedding has proved extremely useful in a variety of network an...
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04/15/2019
Personalized Context-aware Re-ranking for E-commerce Recommender Systems
Ranking is a core task in E-commerce recommender systems, which aims at ...
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04/14/2019
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Modeling users' dynamic and evolving preferences from their historical b...
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02/03/2019
Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems
Existing recommendation algorithms mostly focus on optimizing traditiona...
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09/17/2018
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning
Ranking is a fundamental and widely studied problem in scenarios such as...
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08/21/2018
Multi-Source Pointer Network for Product Title Summarization
In this paper, we study the product title summarization problem in E-com...
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05/28/2018
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks
Tasks such as search and recommendation have become increas- ingly impor...
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05/22/2018
Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search
In web search, mutual influences between documents have been studied fro...
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03/30/2018
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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03/30/2018
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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02/01/2018
Alternating Multi-bit Quantization for Recurrent Neural Networks
Recurrent neural networks have achieved excellent performance in many ap...
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06/07/2017
