Posts by Tag

Collaborative Filtering

Wasserstein Dependent Graph Attention Network for Collaborative Filtering with Uncertainty

less than 1 minute read

Collaborative filtering (CF) is an essential technique in recommender systems that provides personalized recommendations by only leveraging user-item interac...

PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering

1 minute read

Collaborative filtering (CF) is the basic method for recommendation with implicit feedback. Recently, various state-of-the-art CF integrates graph neural net...

Debiased Contrastive Loss for Collaborative Filtering

less than 1 minute read

Collaborative filtering (CF) is the most fundamental technique in recommender systems, which reveals user preference by implicit feedback. Generally, binary ...

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Educational Assessment

LecEval: An Automated Metric for Multimodal Knowledge Acquisition in Multimedia Learning

less than 1 minute read

Evaluating the quality of slide-based multimedia instruction is challenging. Existing methods like manual assessment, reference-based metrics, and large lang...

Exploring LLM-based Student Simulation for Metacognitive Cultivation

less than 1 minute read

Metacognitive education plays a crucial role in cultivating students’ self-regulation and reflective thinking, providing essential support for those with lea...

Explainable Few-shot Knowledge Tracing

less than 1 minute read

Knowledge tracing (KT), aiming to mine students’ mastery of knowledge by their exercise records and predict their performance on future test questions, is a ...

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Large Language Models

LecEval: An Automated Metric for Multimodal Knowledge Acquisition in Multimedia Learning

less than 1 minute read

Evaluating the quality of slide-based multimedia instruction is challenging. Existing methods like manual assessment, reference-based metrics, and large lang...

Exploring LLM-based Student Simulation for Metacognitive Cultivation

less than 1 minute read

Metacognitive education plays a crucial role in cultivating students’ self-regulation and reflective thinking, providing essential support for those with lea...

From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents

1 minute read

Since the first instances of online education, where courses were uploaded to accessible and shared online platforms, this form of scaling the dissemination ...

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Debiased Contrastive Learning

PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering

1 minute read

Collaborative filtering (CF) is the basic method for recommendation with implicit feedback. Recently, various state-of-the-art CF integrates graph neural net...

Debiased Contrastive Loss for Collaborative Filtering

less than 1 minute read

Collaborative filtering (CF) is the most fundamental technique in recommender systems, which reveals user preference by implicit feedback. Generally, binary ...

Back to Top ↑

Popularity Bias

PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering

1 minute read

Collaborative filtering (CF) is the basic method for recommendation with implicit feedback. Recently, various state-of-the-art CF integrates graph neural net...

Debiased Contrastive Loss for Collaborative Filtering

less than 1 minute read

Collaborative filtering (CF) is the most fundamental technique in recommender systems, which reveals user preference by implicit feedback. Generally, binary ...

Back to Top ↑

Sample Bias

PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering

1 minute read

Collaborative filtering (CF) is the basic method for recommendation with implicit feedback. Recently, various state-of-the-art CF integrates graph neural net...

Debiased Contrastive Loss for Collaborative Filtering

less than 1 minute read

Collaborative filtering (CF) is the most fundamental technique in recommender systems, which reveals user preference by implicit feedback. Generally, binary ...

Back to Top ↑

Matrix Factorization

Debiased Contrastive Loss for Collaborative Filtering

less than 1 minute read

Collaborative filtering (CF) is the most fundamental technique in recommender systems, which reveals user preference by implicit feedback. Generally, binary ...

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Graph Neural Networks

Debiased Contrastive Loss for Collaborative Filtering

less than 1 minute read

Collaborative filtering (CF) is the most fundamental technique in recommender systems, which reveals user preference by implicit feedback. Generally, binary ...

Back to Top ↑

Personalized Education

A Review of Data Mining in Personalized Education: Current Trends and Future Prospects

less than 1 minute read

Personalized education, tailored to individual student needs, leverages educational technology and artificial intelligence (AI) in the digital age to enhance...

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Educational Recommendation

A Review of Data Mining in Personalized Education: Current Trends and Future Prospects

less than 1 minute read

Personalized education, tailored to individual student needs, leverages educational technology and artificial intelligence (AI) in the digital age to enhance...

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Cognitive Diagnosis

A Review of Data Mining in Personalized Education: Current Trends and Future Prospects

less than 1 minute read

Personalized education, tailored to individual student needs, leverages educational technology and artificial intelligence (AI) in the digital age to enhance...

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Knowledge Tracing

A Review of Data Mining in Personalized Education: Current Trends and Future Prospects

less than 1 minute read

Personalized education, tailored to individual student needs, leverages educational technology and artificial intelligence (AI) in the digital age to enhance...

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Learning Analysis

A Review of Data Mining in Personalized Education: Current Trends and Future Prospects

less than 1 minute read

Personalized education, tailored to individual student needs, leverages educational technology and artificial intelligence (AI) in the digital age to enhance...

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Mutual Information

Wasserstein Dependent Graph Attention Network for Collaborative Filtering with Uncertainty

less than 1 minute read

Collaborative filtering (CF) is an essential technique in recommender systems that provides personalized recommendations by only leveraging user-item interac...

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Uncertainty

Wasserstein Dependent Graph Attention Network for Collaborative Filtering with Uncertainty

less than 1 minute read

Collaborative filtering (CF) is an essential technique in recommender systems that provides personalized recommendations by only leveraging user-item interac...

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Wasserstein Distance

Wasserstein Dependent Graph Attention Network for Collaborative Filtering with Uncertainty

less than 1 minute read

Collaborative filtering (CF) is an essential technique in recommender systems that provides personalized recommendations by only leveraging user-item interac...

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Knowldege Tracing

Explainable Few-shot Knowledge Tracing

less than 1 minute read

Knowledge tracing (KT), aiming to mine students’ mastery of knowledge by their exercise records and predict their performance on future test questions, is a ...

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Large Language Model

Explainable Few-shot Knowledge Tracing

less than 1 minute read

Knowledge tracing (KT), aiming to mine students’ mastery of knowledge by their exercise records and predict their performance on future test questions, is a ...

Back to Top ↑

Online Education

From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents

1 minute read

Since the first instances of online education, where courses were uploaded to accessible and shared online platforms, this form of scaling the dissemination ...

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Multi-Agent Systems

From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents

1 minute read

Since the first instances of online education, where courses were uploaded to accessible and shared online platforms, this form of scaling the dissemination ...

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Personalized Learning

From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents

1 minute read

Since the first instances of online education, where courses were uploaded to accessible and shared online platforms, this form of scaling the dissemination ...

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Metacognition

Exploring LLM-based Student Simulation for Metacognitive Cultivation

less than 1 minute read

Metacognitive education plays a crucial role in cultivating students’ self-regulation and reflective thinking, providing essential support for those with lea...

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Student Simulation

Exploring LLM-based Student Simulation for Metacognitive Cultivation

less than 1 minute read

Metacognitive education plays a crucial role in cultivating students’ self-regulation and reflective thinking, providing essential support for those with lea...

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Multimedia Learning

LecEval: An Automated Metric for Multimodal Knowledge Acquisition in Multimedia Learning

less than 1 minute read

Evaluating the quality of slide-based multimedia instruction is challenging. Existing methods like manual assessment, reference-based metrics, and large lang...

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Automated Evaluation

LecEval: An Automated Metric for Multimodal Knowledge Acquisition in Multimedia Learning

less than 1 minute read

Evaluating the quality of slide-based multimedia instruction is challenging. Existing methods like manual assessment, reference-based metrics, and large lang...

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