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08/11/2023
Toward a Better Understanding of Loss Functions for Collaborative Filtering
Collaborative filtering (CF) is a pivotal technique in modern recommende...
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05/22/2023
It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation
Linear autoencoder models learn an item-to-item weight matrix via convex...
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05/22/2023
uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering
Because implicit user feedback for the collaborative filtering (CF) mode...
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05/22/2023
ConQueR: Contextualized Query Reduction using Search Logs
Query reformulation is a key mechanism to alleviate the linguistic chasm...
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09/13/2022
SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval
Sparse document representations have been widely used to retrieve releva...
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07/26/2022
Bilateral Self-unbiased Learning from Biased Implicit Feedback
Implicit feedback has been widely used to build commercial recommender s...
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01/04/2022
S-Walk: Accurate and Scalable Session-based Recommendationwith Random Walks
Session-based recommendation (SR) predicts the next items from a sequenc...
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05/19/2021
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation
Existing studies in weakly-supervised semantic segmentation (WSSS) using...
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04/28/2021
MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories
Automated metaphor detection is a challenging task to identify metaphori...
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03/30/2021
Session-aware Linear Item-Item Models for Session-based Recommendation
Session-based recommendation aims at predicting the next item given a se...
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03/30/2021
Local Collaborative Autoencoders
Top-N recommendation is a challenging problem because complex and sparse...
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11/13/2019