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On January 2, 2025 at 9:23:38 PM UTC,
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in TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou -
Changed value of field
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in TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou -
Added resource Original Metadata to TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou
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| 3 | "author": "Zihua Si", | 3 | "author": "Zihua Si", | ||
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| 15 | "extra_author": "Renmin University of China", | 15 | "extra_author": "Renmin University of China", | ||
| 16 | "orcid": "" | 16 | "orcid": "" | ||
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| 55 | "extra_author": "Lin Guan", | 55 | "extra_author": "Lin Guan", | ||
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| 64 | "orcid": "" | 64 | "orcid": "" | ||
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| 70 | { | 70 | { | ||
| 71 | "extra_author": "Zeyu Yang", | 71 | "extra_author": "Zeyu Yang", | ||
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| 76 | "orcid": "" | 76 | "orcid": "" | ||
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| 78 | { | 78 | { | ||
| 79 | "extra_author": "Kai Zheng", | 79 | "extra_author": "Kai Zheng", | ||
| 80 | "orcid": "" | 80 | "orcid": "" | ||
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| 82 | { | 82 | { | ||
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| 118 | { | 118 | { | ||
| 119 | "extra_author": "Chenbin Zhang", | 119 | "extra_author": "Chenbin Zhang", | ||
| 120 | "orcid": "" | 120 | "orcid": "" | ||
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| 126 | { | 126 | { | ||
| 127 | "extra_author": "Kun Gai", | 127 | "extra_author": "Kun Gai", | ||
| 128 | "orcid": "" | 128 | "orcid": "" | ||
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| 135 | "groups": [ | 135 | "groups": [ | ||
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| 137 | "description": "", | 137 | "description": "", | ||
| 138 | "display_name": "Click-Through Rate Prediction", | 138 | "display_name": "Click-Through Rate Prediction", | ||
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| 141 | "name": "click-through-rate-prediction", | 141 | "name": "click-through-rate-prediction", | ||
| 142 | "title": "Click-Through Rate Prediction" | 142 | "title": "Click-Through Rate Prediction" | ||
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| 162 | "notes": "The dataset is a large-scale industrial dataset collected | 162 | "notes": "The dataset is a large-scale industrial dataset collected | ||
| 163 | from Kuaishou, containing user interaction data with click-through as | 163 | from Kuaishou, containing user interaction data with click-through as | ||
| 164 | labels. The dataset has a maximum history length of 100,000 items for | 164 | labels. The dataset has a maximum history length of 100,000 items for | ||
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| 210 | "title": "TWIN V2: Scaling Ultra-Long User Behavior Sequence | 251 | "title": "TWIN V2: Scaling Ultra-Long User Behavior Sequence | ||
| 211 | Modeling for Enhanced CTR Prediction at Kuaishou", | 252 | Modeling for Enhanced CTR Prediction at Kuaishou", | ||
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