🔎 AMR — CNN (Full Movie)
Dataset: MovieLens 1M + Popcorn-Vis + RAG-Text | Model: AMR | Visual-CNN: Inception
Experiment Configuration
- MovieLens 1M + Popcorn-Vis + RAG-Text
- Epochs: 10, K-Core: 10, TestRatio: 0.2, Model: "AMR", PCA = 0.8, PCA-Lambda = 0
🧩 Top-N = 2
Text = Llama, Text-Aug = True, Visual-CNN = incp, Top-N = 2, CCA = 8, CCA-Lambda = 0.01
| Modality | NDCG@N | Novelty | Recall@N | Fairness | Diversity | Coverage@N | Cold Start Rate | Pop. Bias | Cal. Bias | Hit Rate | Precision | MAP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
visual |
0.1486 | 11.9420 | 0.1271 | 0.9632 | 0.7453 | 1.0000 | 0.0000 | 0.0163 | 7.8613 | 0.4156 | 0.2078 | 0.1059 |
text |
0.1422 | 11.8360 | 0.1221 | 0.9539 | 0.7109 | 1.0000 | 0.0000 | 0.0209 | 7.8703 | 0.4032 | 0.2016 | 0.1000 |
cca_8 |
0.2286 | 11.8448 | 0.1965 | 0.9555 | 0.6722 | 1.0000 | 0.0000 | 0.0207 | 7.0935 | 0.6333 | 0.3166 | 0.1677 |
pca_80 |
0.1466 | 11.9535 | 0.1265 | 0.9654 | 0.7397 | 1.0000 | 0.0000 | 0.0156 | 7.9070 | 0.4163 | 0.2081 | 0.1034 |
Text = Llama, Text-Aug = False, Visual-CNN = incp, Top-N = 2, CCA = 8, CCA-Lambda = 0.01
| Modality | NDCG@N | Novelty | Recall@N | Fairness | Diversity | Coverage@N | Cold Start Rate | Pop. Bias | Cal. Bias | Hit Rate | Precision | MAP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
visual |
0.1388 | 11.8575 | 0.1199 | 0.9556 | 0.7237 | 1.0000 | 0.0000 | 0.0202 | 7.8792 | 0.3988 | 0.1994 | 0.0969 |
text |
0.1564 | 11.8729 | 0.1353 | 0.9573 | 0.7351 | 1.0000 | 0.0000 | 0.0195 | 7.6776 | 0.4372 | 0.2186 | 0.1109 |
cca_8 |
0.2236 | 11.8419 | 0.1913 | 0.9542 | 0.6815 | 0.9831 | 0.0000 | 0.0211 | 6.9560 | 0.6304 | 0.3152 | 0.1632 |
pca_80 |
0.1250 | 11.6649 | 0.1073 | 0.9363 | 0.7334 | 1.0000 | 0.0000 | 0.0285 | 8.2301 | 0.3667 | 0.1834 | 0.0864 |
Text = Llama, Text-Aug = True, Visual-CNN = incp, Top-N = 2, CCA = 40, CCA-Lambda = 0.01
| Modality | NDCG@N | Novelty | Recall@N | Fairness | Diversity | Coverage@N | Cold Start Rate | Pop. Bias | Cal. Bias | Hit Rate | Precision | MAP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
visual |
0.1587 | 11.9182 | 0.1370 | 0.9617 | 0.7433 | 1.0000 | 0.0000 | 0.0174 | 7.7345 | 0.4414 | 0.2207 | 0.1141 |
text |
0.1655 | 11.9020 | 0.1429 | 0.9596 | 0.7328 | 1.0000 | 0.0000 | 0.0182 | 7.7637 | 0.4643 | 0.2322 | 0.1174 |
cca_40 |
0.2073 | 11.8319 | 0.1788 | 0.9538 | 0.6893 | 1.0000 | 0.0000 | 0.0213 | 7.3062 | 0.5780 | 0.2890 | 0.1506 |
pca_80 |
0.1341 | 11.8105 | 0.1155 | 0.9500 | 0.7511 | 1.0000 | 0.0000 | 0.0219 | 8.0266 | 0.3890 | 0.1945 | 0.0937 |
Text = Llama, Text-Aug = True, Visual-CNN = incp, Top-N = 2, PCA = 0.95, CCA = 40, CCA-Lambda = 0.01
| Modality | NDCG@N | Novelty | Recall@N | Fairness | Diversity | Coverage@N | Cold Start Rate | Pop. Bias | Cal. Bias | Hit Rate | Precision | MAP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
visual |
0.1590 | 11.8956 | 0.1379 | 0.9596 | 0.7375 | 1.0000 | 0.0000 | 0.0184 | 7.7925 | 0.4447 | 0.2223 | 0.1134 |
text |
0.1308 | 11.9423 | 0.1118 | 0.9641 | 0.7438 | 1.0000 | 0.0000 | 0.0163 | 7.9232 | 0.3811 | 0.1906 | 0.0908 |
cca_40 |
0.2124 | 11.8763 | 0.1835 | 0.9585 | 0.6902 | 1.0000 | 0.0000 | 0.0193 | 7.2571 | 0.5938 | 0.2969 | 0.1537 |
pca_95 |
0.1541 | 11.9457 | 0.1335 | 0.9642 | 0.7363 | 1.0000 | 0.0000 | 0.0161 | 7.8435 | 0.4372 | 0.2186 | 0.1095 |
Text = OpenAI, Text-Aug = False, Visual-CNN = incp, Top-N = 2, PCA = 0.9, CCA = 40, CCA-Lambda = 0.01
| Modality | NDCG@N | Novelty | Recall@N | Fairness | Diversity | Coverage@N | Cold Start Rate | Pop. Bias | Cal. Bias | Hit Rate | Precision | MAP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
visual |
0.1657 | 12.0231 | 0.1427 | 0.9718 | 0.7345 | 1.0000 | 0.0000 | 0.0127 | 7.5576 | 0.4630 | 0.2315 | 0.1179 |
text |
0.1948 | 11.9837 | 0.1677 | 0.9673 | 0.7042 | 1.0000 | 0.0000 | 0.0146 | 7.2312 | 0.5363 | 0.2682 | 0.1414 |
cca_40 |
0.2325 | 11.7640 | 0.1992 | 0.9517 | 0.6534 | 1.0000 | 0.0000 | 0.0243 | 7.0295 | 0.6433 | 0.3217 | 0.1718 |
pca_90 |
0.1375 | 11.8254 | 0.1165 | 0.9540 | 0.7395 | 1.0000 | 0.0000 | 0.0216 | 7.9833 | 0.3958 | 0.1979 | 0.0966 |
Text = OpenAI, Text-Aug = True, Visual-CNN = incp, Top-N = 2, PCA = 0.95, CCA = 40, CCA-Lambda = 0.01
| Modality | NDCG@N | Novelty | Recall@N | Fairness | Diversity | Coverage@N | Cold Start Rate | Pop. Bias | Cal. Bias | Hit Rate | Precision | MAP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
visual |
0.1602 | 11.9124 | 0.1379 | 0.9618 | 0.7342 | 1.0000 | 0.0000 | 0.0178 | 7.5824 | 0.4519 | 0.2259 | 0.1143 |
text |
0.1897 | 11.9654 | 0.1633 | 0.9656 | 0.7059 | 1.0000 | 0.0000 | 0.0154 | 7.1876 | 0.5219 | 0.2610 | 0.1380 |
cca_40 |
0.2194 | 11.7766 | 0.1870 | 0.9471 | 0.6689 | 1.0000 | 0.0000 | 0.0236 | 7.1789 | 0.6210 | 0.3105 | 0.1598 |
pca_90 |
0.1310 | 11.8976 | 0.1118 | 0.9594 | 0.7389 | 1.0000 | 0.0000 | 0.0184 | 8.0058 | 0.3822 | 0.1911 | 0.0909 |
🧩 Top-N = 10
Text = Llama, Text-Aug = True, Visual-CNN = incp, Top-N = 10, CCA = 8, CCA-Lambda = 0.01
| Modality | NDCG@N | Novelty | Recall@N | Fairness | Diversity | Coverage@N | Cold Start Rate | Pop. Bias | Cal. Bias | Hit Rate | Precision | MAP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
visual |
0.3022 | 11.9687 | 0.4144 | 0.7186 | 0.7719 | 1.0000 | 0.0000 | 0.0151 | 2.4407 | 1.4377 | 0.1438 | 0.1945 |
text |
0.3003 | 11.9019 | 0.4178 | 0.6743 | 0.7582 | 1.0000 | 0.0000 | 0.0180 | 2.4869 | 1.4604 | 0.1460 | 0.1910 |
cca_8 |
0.4275 | 11.9463 | 0.5589 | 0.6985 | 0.7418 | 1.0000 | 0.0000 | 0.0162 | 2.3204 | 1.9537 | 0.1954 | 0.3059 |
pca_80 |
0.3077 | 11.9782 | 0.4265 | 0.7284 | 0.7720 | 1.0000 | 0.0000 | 0.0146 | 2.4076 | 1.5016 | 0.1502 | 0.1977 |
Text = Llama, Text-Aug = False, Visual-CNN = incp, Top-N = 10, CCA = 8, CCA-Lambda = 0.01
| Modality | NDCG@N | Novelty | Recall@N | Fairness | Diversity | Coverage@N | Cold Start Rate | Pop. Bias | Cal. Bias | Hit Rate | Precision | MAP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
visual |
0.2832 | 11.9375 | 0.3878 | 0.6905 | 0.7657 | 1.0000 | 0.0000 | 0.0165 | 2.6188 | 1.3763 | 0.1376 | 0.1794 |
text |
0.3254 | 11.8961 | 0.4491 | 0.6630 | 0.7695 | 1.0000 | 0.0000 | 0.0183 | 2.2595 | 1.5614 | 0.1561 | 0.2115 |
cca_8 |
0.4247 | 11.9001 | 0.5594 | 0.6648 | 0.7486 | 1.0000 | 0.0000 | 0.0183 | 2.2194 | 1.9448 | 0.1945 | 0.3019 |
pca_80 |
0.2741 | 11.8281 | 0.3834 | 0.6130 | 0.7706 | 1.0000 | 0.0000 | 0.0212 | 2.6010 | 1.3792 | 0.1379 | 0.1703 |
Text = Llama, Text-Aug = True, Visual-CNN = incp, Top-N = 10, CCA = 40, CCA-Lambda = 0.01
| Modality | NDCG@N | Novelty | Recall@N | Fairness | Diversity | Coverage@N | Cold Start Rate | Pop. Bias | Cal. Bias | Hit Rate | Precision | MAP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
visual |
0.3273 | 11.9257 | 0.4519 | 0.6813 | 0.7746 | 1.0000 | 0.0000 | 0.0170 | 2.2444 | 1.5756 | 0.1576 | 0.2140 |
text |
0.3368 | 11.9537 | 0.4605 | 0.7098 | 0.7769 | 1.0000 | 0.0000 | 0.0157 | 2.1687 | 1.5951 | 0.1595 | 0.2211 |
cca_40 |
0.3985 | 11.9203 | 0.5319 | 0.6765 | 0.7545 | 1.0000 | 0.0000 | 0.0173 | 2.3598 | 1.8446 | 0.1845 | 0.2766 |
pca_80 |
0.2850 | 11.9317 | 0.3942 | 0.6896 | 0.7764 | 1.0000 | 0.0000 | 0.0166 | 2.4234 | 1.4187 | 0.1419 | 0.1799 |
Text = Llama, Text-Aug = True, Visual-CNN = incp, Top-N = 10, PCA = 0.95, CCA = 40, CCA-Lambda = 0.01
| Modality | NDCG@N | Novelty | Recall@N | Fairness | Diversity | Coverage@N | Cold Start Rate | Pop. Bias | Cal. Bias | Hit Rate | Precision | MAP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
visual |
0.3326 | 11.9148 | 0.4595 | 0.6784 | 0.7728 | 1.0000 | 0.0000 | 0.0175 | 2.2355 | 1.6005 | 0.1601 | 0.2176 |
text |
0.2811 | 11.9648 | 0.3934 | 0.7201 | 0.7764 | 1.0000 | 0.0000 | 0.0152 | 2.4448 | 1.3820 | 0.1382 | 0.1756 |
cca_40 |
0.3999 | 11.9404 | 0.5277 | 0.6957 | 0.7514 | 1.0000 | 0.0000 | 0.0164 | 2.3606 | 1.8306 | 0.1831 | 0.2783 |
pca_95 |
0.3196 | 11.9604 | 0.4406 | 0.7175 | 0.7710 | 1.0000 | 0.0000 | 0.0154 | 2.2502 | 1.5431 | 0.1543 | 0.2080 |
Text = OpenAI, Text-Aug = False, Visual-CNN = incp, Top-N = 10, PCA = 0.9, CCA = 40, CCA-Lambda = 0.01
| Modality | NDCG@N | Novelty | Recall@N | Fairness | Diversity | Coverage@N | Cold Start Rate | Pop. Bias | Cal. Bias | Hit Rate | Precision | MAP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
visual |
0.3393 | 11.9781 | 0.4684 | 0.7286 | 0.7726 | 1.0000 | 0.0000 | 0.0146 | 2.0024 | 1.6138 | 0.1614 | 0.2225 |
text |
0.3780 | 11.9719 | 0.5058 | 0.7163 | 0.7634 | 1.0000 | 0.0000 | 0.0150 | 2.1938 | 1.7380 | 0.1738 | 0.2591 |
cca_40 |
0.4338 | 11.9657 | 0.5638 | 0.7125 | 0.7420 | 1.0000 | 0.0000 | 0.0154 | 2.3397 | 1.9721 | 0.1972 | 0.3128 |
pca_90 |
0.2896 | 11.9195 | 0.4018 | 0.6834 | 0.7712 | 1.0000 | 0.0000 | 0.0173 | 2.4607 | 1.4041 | 0.1404 | 0.1842 |
Text = OpenAI, Text-Aug = True, Visual-CNN = incp, Top-N = 10, PCA = 0.95, CCA = 40, CCA-Lambda = 0.01
| Modality | NDCG@N | Novelty | Recall@N | Fairness | Diversity | Coverage@N | Cold Start Rate | Pop. Bias | Cal. Bias | Hit Rate | Precision | MAP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
visual |
0.3320 | 11.9381 | 0.4601 | 0.6976 | 0.7718 | 1.0000 | 0.0000 | 0.0165 | 2.1798 | 1.5874 | 0.1587 | 0.2168 |
text |
0.3753 | 11.9260 | 0.5093 | 0.6829 | 0.7565 | 1.0000 | 0.0000 | 0.0171 | 2.1923 | 1.7306 | 0.1731 | 0.2551 |
cca_40 |
0.4156 | 11.8935 | 0.5454 | 0.6563 | 0.7388 | 1.0000 | 0.0000 | 0.0186 | 2.5885 | 1.9142 | 0.1914 | 0.2958 |
pca_90 |
0.2880 | 11.9362 | 0.4062 | 0.6926 | 0.7715 | 1.0000 | 0.0000 | 0.0166 | 2.4559 | 1.4237 | 0.1424 | 0.1809 |