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12/07/2022
Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning
Recent studies have proposed unified user modeling frameworks that lever...
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11/15/2021
Scaling Law for Recommendation Models: Towards General-purpose User Representations
A recent trend shows that a general class of models, e.g., BERT, GPT-3, ...
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09/05/2021
Global-Local Item Embedding for Temporal Set Prediction
Temporal set prediction is becoming increasingly important as many compa...
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05/24/2021
One4all User Representation for Recommender Systems in E-commerce
General-purpose representation learning through large-scale pre-training...
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11/21/2020
A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting
Probabilistic time-series models become popular in the forecasting field...
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07/24/2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation
Graph Neural Networks (GNNs) have been emerging as a promising method fo...
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11/04/2016
Ways of Conditioning Generative Adversarial Networks
The GANs are generative models whose random samples realistically reflec...
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07/19/2016
