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+
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+ ---
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+ language:
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+ - en
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+
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+ tags:
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+ - sequential-recommendation
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+ - direct-recommendation
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+ - explanation-generation
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+ - text2text-generation
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+
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+ license: mit
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+
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+ datasets:
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+ - amazon_us_reviews
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+
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+ metrics:
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+ - NDCG
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+ - HR
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+ - MAE
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+ - BLUE
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+ - ROUGE
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+
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+ widget:
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+ - text: "I find the purchase history list of user_15466: 4110 -> 4467 -> 4468 -> 4472 \n I wonder what is the next item to recommend to the user. Can you help me decide?"
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+ example_title: "Sequential Recommendation"
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+ - text: "Pick the most suitable item from the following list and recommend to user_250 : \n 4915 , 1823 , 3112 , 3821 , 3773 , 520 , 7384 , 7469 , 9318 , 3876 , 1143 , 789 , 595 , 3824 , 3587"
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+ example_title: "Direct Recommendation"
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+ - text: "Help Hong Old boy generate a 5-star explanation about this product: OtterBox Defender Case for iPhone 3G, 3GS (Black)"
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+ example_title: "Explanation Generation"
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+ ---
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+
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+ # P5 (Toys Small)
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+ Recommendation as Language Processing: A Unified Pretrain, Personalized Prompt & Predict Paradigm
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+
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+ ![model image](https://raw.githubusercontent.com/jeykigung/P5/main/pic/teaser.png)