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KnowPath: An LLM-Supported Knowledge Graph Construction and Path Finding Framework to Explainable MOOC Recommendations

https://doi.org/10.1145/3779436
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Large Language Models are Zero-Shot Rankers for Recommender Systems
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Perceptions of the Educational Benefits of Mobile Devices in Language Teaching and Learning
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An explainable graph-based course recommendation model based on multiple interest factors
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Quantification and prediction of engagement: Applied to personalized course recommendation to reduce dropout in MOOCs
inferredcites →https://doi.org/10.1016/j.knosys.2020.105618openalex-snapshot
A learning path recommendation model based on a multidimensional knowledge graph framework for e-learning
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Multimodal feature fusion based on object relation for video captioning
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ST‐SIGMA: Spatio‐temporal semantics and interaction graph aggregation for multi‐agent perception and trajectory forecasting
inferredcites →https://doi.org/10.1049/cit2.12332openalex-snapshot
Medical knowledge graph question answering for drug‐drug interaction prediction based on multi‐hop machine reading comprehension
inferredcites →https://doi.org/10.1108/intr-08-2020-0477openalex-snapshot
Interpretable MOOC recommendation: a multi-attention network for personalized learning behavior analysis
inferredcites →https://doi.org/10.1109/access.2018.2839607openalex-snapshot
KnowEdu: A System to Construct Knowledge Graph for Education
inferredcites →https://doi.org/10.1109/cvpr.2019.01103openalex-snapshot
Explainability Methods for Graph Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/spices.2015.7091526openalex-snapshot
Learning object recommendation for an effective open e-learning environment
inferredcites →https://doi.org/10.1109/tkde.2017.2772243openalex-snapshot
Improved Lower Bounds for Graph Edit Distance
inferredcites →https://doi.org/10.1109/tkde.2024.3392335openalex-snapshot
Recommender Systems in the Era of Large Language Models (LLMs)
inferredcites →https://doi.org/10.1109/tlt.2021.3083180openalex-snapshot
Capacity Tracing-Enhanced Course Recommendation in MOOCs
inferredcites →https://doi.org/10.1111/exsy.70034openalex-snapshot
Recommendation of Learning Resources for MOOCs Based on Historical Sequential Behaviours
inferredcites →https://doi.org/10.1137/1.9781611977172.14openalex-snapshot
ConLearn: Contextual-knowledge-aware Concept Prerequisite Relation Learning with Graph Neural Network
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Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3170358.3170400openalex-snapshot
Reciprocal peer recommendation for learning purposes
inferredcites →https://doi.org/10.1145/3303772.3303814openalex-snapshot
Goal-based Course Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331203openalex-snapshot
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
inferredcites →https://doi.org/10.1145/3543846openalex-snapshot
Reinforcement Learning based Recommender Systems: A Survey
inferredcites →https://doi.org/10.1145/3579991openalex-snapshot
Reinforced Explainable Knowledge Concept Recommendation in MOOCs
inferredcites →https://doi.org/10.1145/3580510openalex-snapshot
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks
inferredcites →https://doi.org/10.1145/3583780.3615484openalex-snapshot
LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts
inferredcites →https://doi.org/10.1145/3597022openalex-snapshot
Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation
inferredcites →https://doi.org/10.1145/3626772.3657847openalex-snapshot
Course Recommender Systems Need to Consider the Job Market
inferredcites →https://doi.org/10.1145/3636555.3636898openalex-snapshot
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective
inferredcites →https://doi.org/10.1145/3638350openalex-snapshot
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing
inferredcites →https://doi.org/10.1145/3641850openalex-snapshot
CodeKGC: Code Language Model for Generative Knowledge Graph Construction
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On Identity, Transaction, and Smart Contract Privacy on Permissioned and Permissionless Blockchain: A Comprehensive Survey
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How Can Recommender Systems Benefit from Large Language Models: A Survey
inferredcites →https://doi.org/10.1145/3706468.3706486openalex-snapshot
Towards Better Course Recommendations: Integrating Multi-Perspective Meta-Paths and Knowledge Graphs
inferredcites →https://doi.org/10.1145/3709673openalex-snapshot
Computing Approximate Graph Edit Distance via Optimal Transport
inferredcites →https://doi.org/10.1145/3713071openalex-snapshot
KG4RecEval : Does Knowledge Graph Really Matter for Recommender Systems?
inferredcites →https://doi.org/10.1371/journal.pone.0245485openalex-snapshot
Novel online Recommendation algorithm for Massive Open Online Courses (NoR-MOOCs)
inferredcites →https://doi.org/10.14778/3594512.3594514openalex-snapshot
Computing Graph Edit Distance via Neural Graph Matching
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301435openalex-snapshot
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs
inferredcites →https://doi.org/10.1609/aaai.v39i12.33453openalex-snapshot
Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical Reasoning
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.729openalex-snapshot
Distantly Supervised Course Concept Extraction in MOOCs with Academic Discipline
inferredcites →https://doi.org/10.18653/v1/2024.findings-naacl.39openalex-snapshot
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
inferredcites →https://doi.org/10.2139/ssrn.5087272openalex-snapshot
Towards the Generation of High Quality Datasets for the Computation of Graph Dissimilarity
inferredcites →https://doi.org/10.3390/a11090137openalex-snapshot
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.3389/fpsyg.2026.1856031openalex-snapshot
Digital transformation in education: psychological perspectives on learning, engagement, and outcomes: a systematic review and meta-analysis
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Evaluating Japanese language learning strategies through learner and expert perspectives: a fuzzy multi-criteria decision-making approach
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A multi-criteria assessment of Japanese Kanji learning difficulty for educational prioritization using ANP–VIKOR
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Learning behavior, student engagement, and academic performance in learning analytics
inferred← citeshttps://doi.org/10.3390/electronics15010238openalex-snapshot
Personalized Learning Path Recommendation Based on Knowledge Graphs: A Survey
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