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05/17/2023
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs
Knowledge Graphs (KGs) play a crucial role in enhancing e-commerce syste...
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02/11/2022
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation
The complementary item recommender system (CIRS) recommends the compleme...
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10/23/2021
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
The recent work by Rendle et al. (2020), based on empirical observations...
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10/23/2021
Towards the D-Optimal Online Experiment Design for Recommender Selection
Selecting the optimal recommender via online exploration-exploitation is...
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03/28/2021
A Temporal Kernel Approach for Deep Learning with Continuous-time Information
Sequential deep learning models such as RNN, causal CNN and attention me...
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02/24/2021
Theoretical Understandings of Product Embedding for E-commerce Machine Learning
Product embeddings have been heavily investigated in the past few years,...
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12/12/2020
GAN-based Recommendation with Positive-Unlabeled Sampling
Recommender systems are popular tools for information retrieval tasks on...
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11/08/2020
Adversarial Counterfactual Learning and Evaluation for Recommender System
The feedback data of recommender systems are often subject to what was e...
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02/19/2020
Inductive Representation Learning on Temporal Graphs
Inductive representation learning on temporal graphs is an important ste...
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11/28/2019
Self-attention with Functional Time Representation Learning
Sequential modelling with self-attention has achieved cutting edge perfo...
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11/28/2019
Product Knowledge Graph Embedding for E-commerce
In this paper, we propose a new product knowledge graph (PKG) embedding ...
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03/16/2019
Modeling Complementary Products and Customer Preferences with Context Knowledge for Online Recommendation
Modeling item complementariness and user preferences from purchase data ...
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03/06/2019