user-representation

There are 9 repositories under user-representation topic.

  • fajieyuan/SIGIR2021_Conure

    Pre-training and Lifelong learning for User Embedding and Recommender System

    Language:Python44215

  • rktamplayo/CHIM

    [EMNLP2019] Rethinking Attribute Representation and Injection for Sentiment Classification

    Language:Python23418

  • fajieyuan/universal_user_representation

    papers of universal user representation learning for recommendation

    22301

  • rktamplayo/HCSC

    [ACL2018] Cold-Start Aware User and Product Attention for Sentiment Classification

    Language:Python20308

  • fajieyuan/recommendation_transfer_learning_pretraining

    Pre-training and Transfer learning papers for recommendation

    18310

  • fajieyuan/pretrain_recommend_transfer

    迁移学习，预训练，表征学习，跨域推荐，冷启动，用户画像

    9101

  • fajieyuan/lifelong_learning_user_representation

    learning universal user representation with lifelong learning mechanism for recommender systems

    410

  • ash-shar/CMAP

    Repository containing Parameter Inference and Posterior Computation codes of CMAP

    Language:C++3300

  • deco3500-2017/3-Amigos

    Step 1 Preheat oven to 200C. Heat oil in a non-stick frying pan over medium heat. Cook onion for 2 minutes, or until soft. Add mince. Cook, stirring with a wooden spoon, for 5 minutes or until browned. Step 2 Add kidney beans, chilli powder, seasoning, tomato paste and water. Reduce heat to medium-low. Simmer for 5 minutes, or until thick. Stir through coriander. Step 3 Arrange corn chips on a heatproof plate. Top with mince. Sprinkle with cheese. Bake for 15 minutes, or until hot. Top with salsa, avocado and sour cream. Serve.

    Language:JavaScript417