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06/15/2023
Fast and Examination-agnostic Reciprocal Recommendation in Matching Markets
In matching markets such as job posting and online dating platforms, the...
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06/08/2023
Safe Collaborative Filtering
Excellent tail performance is crucial for modern machine learning tasks,...
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05/23/2023
A Critical Reexamination of Intra-List Distance and Dispersion
Diversification of recommendation results is a promising approach for co...
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05/23/2023
Curse of "Low" Dimensionality in Recommender Systems
Beyond accuracy, there are a variety of aspects to the quality of recomm...
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04/04/2023
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation
Human evaluation is critical for validating the performance of text-to-i...
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09/09/2022
Fair Matrix Factorisation for Large-Scale Recommender Systems
Modern recommender systems are hedged with various requirements, such as...
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09/07/2022
DM^2S^2: Deep Multi-Modal Sequence Sets with Hierarchical Modality Attention
There is increasing interest in the use of multimodal data in various we...
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08/24/2022
Matching Theory-based Recommender Systems in Online Dating
Online dating platforms provide people with the opportunity to find a pa...
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03/30/2022
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval
Evaluation measures have a crucial impact on the direction of research. ...
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03/28/2022
Optimal Correction Cost for Object Detection Evaluation
Mean Average Precision (mAP) is the primary evaluation measure for objec...
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05/11/2021
Scalable Personalised Item Ranking through Parametric Density Estimation
Learning from implicit feedback is challenging because of the difficult ...
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01/19/2021
Density-Ratio Based Personalised Ranking from Implicit Feedback
Learning from implicit user feedback is challenging as we can only obser...
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11/10/2020
Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph
Solving cold-start problems is indispensable to provide meaningful recom...
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12/22/2017