The CF–KG model attains the highest coverage (0.736) and cross-domain accuracy (0.741) among all compared recommenders¶
Claim · All claims
Evidence · 1 study · designr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
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q2 i? On system-level coverage and cross-domain accuracy, the CF–KG model significantly outperforms all baselines, achieving Coverage of 0.736 and CDA of 0.741, versus up to 0.648 Coverage and 0.692 CDA for neural baselines. → Bin Liu 2026
Evidence¶
Bin Liu 2026¶
Bin Liu, Xiaoli Sun, Jia Song. (2026). A hybrid collaborative filtering and knowledge graph-based cross-domain recommendation method for multimodal teaching resources. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2026.100678
q2 · i? · design · r2
Coverage and cross-domain accuracy comparison across all methods on the MARS English subset, reported in Fig. 4. Traditional models show Coverage below 0.60 and CDA around 0.62; neural models reach 0.648 and 0.692; the hybrid achieves the printed maxima. No standardized effect size is reported.
"The proposed CF-KG model significantly outperforms all others, achieving the highest scores in both Coverage (0.736) and CDA (0.741)."
Discussion¶
Related Claims¶
- CF–KG achieves the best NDCG and hit rate on text, video, and interactive resource subsets, with modest but consistent gains over KGAT — related
- The CF–KG hybrid model achieves the highest hit rate among all compared methods, rising from 0.718 to 0.751 across training — related
- The CF–KG hybrid model achieves higher offline NDCG than all eight baselines on the MARS English subset, reaching about 0.625 at epoch 40 — related
- Both CF-only and KG-only ablated variants underperform the full CF–KG model, indicating complementary behavioral and semantic signals — related
- Removing any single modality degrades CF–KG only moderately, with text removal causing the largest drop (NDCG 0.625 to 0.593) — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
cfkg-highest-coverage-cda |
title |
The CF–KG model attains the highest coverage (0.736) and cross-domain accuracy (0.741) among all compared recommenders |
description |
The CF–KG model attains the highest coverage (0.736) and cross-domain accuracy (0.741) among all compared recommenders |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — bin-liu-2026 |
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