metadata

language:
  - en
tags:
  - sequential-recommendation
  - direct-recommendation
  - explanation-generation
  - text2text-generation
license: mit
datasets:
  - amazon_us_reviews
metrics:
  - NDCG
  - HR
  - MAE
  - BLUE
  - ROUGE
widget:
  - text: >-
      I find the purchase history list of user_15466: 4110 -> 4467 -> 4468 ->
      4472 I wonder what is the next item to recommend to the user. Can you help
      me decide?
    example_title: Sequential Recommendation
  - text: >-
      Pick the most suitable item from the following list and recommend to
      user_250 : 
       4915 , 1823 , 3112 , 3821 , 3773 , 520 , 7384 , 7469 , 9318 , 3876 , 1143 , 789 , 595 , 3824 , 3587
    example_title: Direct Recommendation

P5

Recommendation as Language Processing: A Unified Pretrain, Personalized Prompt & Predict Paradigm