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09/05/2023
Data-Juicer: A One-Stop Data Processing System for Large Language Models
The immense evolution in Large Language Models (LLMs) has underscored th...
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04/01/2022
Proactively Control Privacy in Recommender Systems
Recently, privacy issues in web services that rely on users' personal da...
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05/28/2021
CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation
To improve user experience and profits of corporations, modern industria...
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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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10/27/2020
Contrastive Pre-training for Sequential Recommendation
Sequential recommendation methods play a crucial role in modern recommen...
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05/31/2020
Modeling Personalized Item Frequency Information for Next-basket Recommendation
Next-basket recommendation (NBR) is prevalent in e-commerce and retail i...
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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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04/06/2019
Effective and Efficient Dropout for Deep Convolutional Neural Networks
Machine-learning-based data-driven applications have become ubiquitous, ...
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04/03/2019
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints
Deep learning models have been used to support analytics beyond simple a...
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06/06/2018
Medical Concept Embedding with Time-Aware Attention
Embeddings of medical concepts such as medication, procedure and diagnos...
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04/26/2018
PANDA: Facilitating Usable AI Development
Recent advances in artificial intelligence (AI) and machine learning hav...
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04/17/2018
Rafiki: Machine Learning as an Analytics Service System
Big data analytics is gaining massive momentum in the last few years. Ap...
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12/12/2015