🔎 AMR — CNN (Trailer)
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 |
0.1343 | 11.9578 | 0.1154 | 0.9657 | 0.7314 | 1.0000 | 0.0000 | 0.0157 | 8.0160 | 0.3844 | 0.1922 | 0.0937 |
text |
0.1617 | 11.9098 | 0.1382 | 0.9614 | 0.7296 | 1.0000 | 0.0000 | 0.0177 | 7.6305 | 0.4545 | 0.2272 | 0.1142 |
cca_8 |
0.2232 | 11.7229 | 0.1913 | 0.9430 | 0.6876 | 1.0000 | 0.0000 | 0.0262 | 6.9374 | 0.6228 | 0.3114 | 0.1631 |
pca_80 |
0.1424 | 11.9308 | 0.1209 | 0.9635 | 0.7454 | 1.0000 | 0.0000 | 0.0167 | 8.1670 | 0.4117 | 0.2059 | 0.0997 |
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 |
0.1711 | 11.8943 | 0.1471 | 0.9584 | 0.7311 | 1.0000 | 0.0000 | 0.0186 | 7.4781 | 0.4735 | 0.2367 | 0.1226 |
text |
0.1398 | 11.9039 | 0.1197 | 0.9593 | 0.7341 | 1.0000 | 0.0000 | 0.0179 | 7.8356 | 0.3979 | 0.1990 | 0.0981 |
cca_8 |
0.2152 | 11.6397 | 0.1846 | 0.9325 | 0.6608 | 0.9831 | 0.0000 | 0.0297 | 7.0858 | 0.6130 | 0.3065 | 0.1560 |
pca_80 |
0.1391 | 11.9464 | 0.1205 | 0.9641 | 0.7457 | 1.0000 | 0.0000 | 0.0161 | 7.9911 | 0.3901 | 0.1950 | 0.0975 |
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 |
0.1687 | 12.0258 | 0.1461 | 0.9715 | 0.7363 | 1.0000 | 0.0000 | 0.0127 | 7.5911 | 0.4667 | 0.2334 | 0.1214 |
text |
0.1413 | 11.8810 | 0.1213 | 0.9581 | 0.7373 | 1.0000 | 0.0000 | 0.0190 | 7.7754 | 0.4054 | 0.2027 | 0.0986 |
cca_40 |
0.2147 | 11.8322 | 0.1843 | 0.9525 | 0.6930 | 1.0000 | 0.0000 | 0.0212 | 7.2917 | 0.5944 | 0.2972 | 0.1567 |
pca_80 |
0.1210 | 11.7430 | 0.1023 | 0.9446 | 0.7514 | 1.0000 | 0.0000 | 0.0249 | 8.4279 | 0.3556 | 0.1778 | 0.0835 |
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 |
0.1464 | 11.8558 | 0.1279 | 0.9551 | 0.7308 | 1.0000 | 0.0000 | 0.0202 | 7.8472 | 0.4021 | 0.2010 | 0.1044 |
text |
0.1569 | 11.8362 | 0.1346 | 0.9540 | 0.7200 | 1.0000 | 0.0000 | 0.0211 | 7.5150 | 0.4488 | 0.2244 | 0.1109 |
cca_40 |
0.2093 | 11.8272 | 0.1792 | 0.9515 | 0.6800 | 1.0000 | 0.0000 | 0.0213 | 7.1995 | 0.5791 | 0.2896 | 0.1530 |
pca_95 |
0.1197 | 11.7539 | 0.1019 | 0.9465 | 0.7564 | 1.0000 | 0.0000 | 0.0246 | 8.2779 | 0.3477 | 0.1739 | 0.0831 |
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 |
0.1424 | 11.8669 | 0.1221 | 0.9559 | 0.7395 | 1.0000 | 0.0000 | 0.0199 | 7.7717 | 0.4008 | 0.2004 | 0.1005 |
text |
0.2109 | 11.9381 | 0.1821 | 0.9629 | 0.6934 | 1.0000 | 0.0000 | 0.0167 | 7.3078 | 0.5785 | 0.2892 | 0.1544 |
cca_40 |
0.2267 | 11.9275 | 0.1948 | 0.9622 | 0.6752 | 1.0000 | 0.0000 | 0.0171 | 7.1111 | 0.6313 | 0.3157 | 0.1666 |
pca_90 |
0.1552 | 11.9881 | 0.1353 | 0.9679 | 0.7359 | 1.0000 | 0.0000 | 0.0143 | 7.6061 | 0.4335 | 0.2168 | 0.1107 |
Text = OpenAI, Text-Aug = True, 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 |
0.1434 | 11.9933 | 0.1237 | 0.9687 | 0.7231 | 1.0000 | 0.0000 | 0.0142 | 7.8118 | 0.4054 | 0.2027 | 0.1006 |
text |
0.1920 | 11.9827 | 0.1666 | 0.9674 | 0.7032 | 1.0000 | 0.0000 | 0.0146 | 7.3117 | 0.5276 | 0.2638 | 0.1401 |
cca_40 |
0.2169 | 11.8249 | 0.1843 | 0.9514 | 0.6882 | 1.0000 | 0.0000 | 0.0218 | 7.2530 | 0.6077 | 0.3039 | 0.1589 |
pca_90 |
0.1574 | 12.0291 | 0.1357 | 0.9723 | 0.7429 | 1.0000 | 0.0000 | 0.0125 | 7.6301 | 0.4403 | 0.2201 | 0.1120 |
🧩 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 |
0.2854 | 12.0001 | 0.3981 | 0.7434 | 0.7673 | 1.0000 | 0.0000 | 0.0137 | 2.5232 | 1.3875 | 0.1387 | 0.1794 |
text |
0.3346 | 11.9452 | 0.4630 | 0.7089 | 0.7652 | 1.0000 | 0.0000 | 0.0161 | 2.1510 | 1.5894 | 0.1589 | 0.2178 |
cca_8 |
0.4231 | 11.9630 | 0.5539 | 0.7008 | 0.7455 | 1.0000 | 0.0000 | 0.0155 | 2.2748 | 1.9437 | 0.1944 | 0.3013 |
pca_80 |
0.3002 | 11.9565 | 0.4170 | 0.7116 | 0.7777 | 1.0000 | 0.0000 | 0.0155 | 2.5621 | 1.4739 | 0.1474 | 0.1909 |
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 |
0.3411 | 11.9260 | 0.4622 | 0.6775 | 0.7688 | 1.0000 | 0.0000 | 0.0170 | 2.1997 | 1.6034 | 0.1603 | 0.2264 |
text |
0.2919 | 11.9413 | 0.4036 | 0.6900 | 0.7677 | 1.0000 | 0.0000 | 0.0162 | 2.5108 | 1.4213 | 0.1421 | 0.1844 |
cca_8 |
0.4096 | 11.8281 | 0.5374 | 0.5885 | 0.7390 | 1.0000 | 0.0000 | 0.0215 | 2.5118 | 1.9059 | 0.1906 | 0.2900 |
pca_80 |
0.2946 | 11.9835 | 0.4072 | 0.7319 | 0.7753 | 1.0000 | 0.0000 | 0.0144 | 2.2696 | 1.4357 | 0.1436 | 0.1874 |
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 |
0.3409 | 12.0020 | 0.4648 | 0.7360 | 0.7699 | 1.0000 | 0.0000 | 0.0136 | 2.1283 | 1.6154 | 0.1615 | 0.2259 |
text |
0.2972 | 11.8990 | 0.4120 | 0.6624 | 0.7734 | 1.0000 | 0.0000 | 0.0181 | 2.4181 | 1.4464 | 0.1446 | 0.1894 |
cca_40 |
0.4000 | 12.0036 | 0.5229 | 0.7364 | 0.7502 | 1.0000 | 0.0000 | 0.0137 | 2.4586 | 1.8160 | 0.1816 | 0.2806 |
pca_80 |
0.2683 | 11.8924 | 0.3754 | 0.6735 | 0.7788 | 1.0000 | 0.0000 | 0.0183 | 2.6003 | 1.3656 | 0.1366 | 0.1669 |
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 |
0.3377 | 12.0106 | 0.4590 | 0.7462 | 0.7672 | 1.0000 | 0.0000 | 0.0133 | 2.3062 | 1.6005 | 0.1601 | 0.2226 |
text |
0.2936 | 11.9636 | 0.4097 | 0.7071 | 0.7724 | 1.0000 | 0.0000 | 0.0153 | 2.3536 | 1.4327 | 0.1433 | 0.1855 |
cca_40 |
0.3999 | 12.0161 | 0.5298 | 0.7450 | 0.7497 | 1.0000 | 0.0000 | 0.0131 | 2.4366 | 1.8400 | 0.1840 | 0.2791 |
pca_95 |
0.3144 | 11.9443 | 0.4346 | 0.7007 | 0.7668 | 1.0000 | 0.0000 | 0.0162 | 2.1994 | 1.5302 | 0.1530 | 0.2030 |
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 |
0.2976 | 11.9248 | 0.4111 | 0.6835 | 0.7723 | 1.0000 | 0.0000 | 0.0171 | 2.3120 | 1.4390 | 0.1439 | 0.1893 |
text |
0.4007 | 11.9084 | 0.5311 | 0.6605 | 0.7588 | 1.0000 | 0.0000 | 0.0179 | 2.3911 | 1.8291 | 0.1829 | 0.2795 |
cca_40 |
0.4249 | 12.0205 | 0.5546 | 0.7445 | 0.7425 | 1.0000 | 0.0000 | 0.0130 | 2.4996 | 1.9317 | 0.1932 | 0.3037 |
pca_90 |
0.3251 | 11.9610 | 0.4496 | 0.7084 | 0.7721 | 1.0000 | 0.0000 | 0.0155 | 2.2246 | 1.5593 | 0.1559 | 0.2124 |
Text = OpenAI, Text-Aug = True, 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 |
0.3016 | 11.9950 | 0.4192 | 0.7343 | 0.7687 | 1.0000 | 0.0000 | 0.0140 | 2.4011 | 1.4545 | 0.1454 | 0.1921 |
text |
0.3699 | 11.9392 | 0.4948 | 0.6901 | 0.7573 | 1.0000 | 0.0000 | 0.0165 | 2.2677 | 1.7105 | 0.1711 | 0.2523 |
cca_40 |
0.4144 | 11.9747 | 0.5439 | 0.7051 | 0.7368 | 1.0000 | 0.0000 | 0.0151 | 2.6701 | 1.9146 | 0.1915 | 0.2943 |
pca_90 |
0.3238 | 11.9786 | 0.4457 | 0.7231 | 0.7727 | 1.0000 | 0.0000 | 0.0147 | 2.2157 | 1.5527 | 0.1553 | 0.2115 |