Papers with attention fusion layer
Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations (P18-2)
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| Challenge: | Existing systems that use user and item identity as inputs for review generation are lacking in the field of natural language processing. |
| Approach: | They propose an encoder-decoder framework that generates personalized reviews by expanding short phrases provided as input to the system. |
| Outcome: | The proposed model learns representations capable of generating coherent and diverse reviews. |
Generating Personalized Recipes from Historical User Preferences (D19-1)
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| Challenge: | Existing methods to recipe generation are unable to create recipes for users with culinary preferences but incomplete knowledge of ingredients in specific dishes. |
| Approach: | They propose to expand a name and incomplete ingredient details into complete natural-text instructions aligned with the user’s historical preferences. |
| Outcome: | The proposed model generates plausible recipes from user-aware representations of recipes from 180K recipes and 700K interactions. |