Description

Book Synopsis

.- Recommender System.
.- Hierarchical Review-based Recommendation with Contrastive Collaboration.
.- Adaptive Augmentation and Neighbor Contrastive Learning for Multi-Behavior Recommendation.
.- Automated Modeling of Influence Diversity with Graph Convolutional Network for Social Recommendation.
.- Contrastive Generator Generative Adversarial Networks for Sequential Recommendation.
.- Distribution-aware Diversification for Personalized Re-ranking in Recommendation.
.- KMIC: A Knowledge-aware Recommendation with Multivariate Intentions Contrastive Learning.
.- Logic Preference Fusion Reasoning on Recommendation.
.- MHGNN: Hybrid Graph Neural Network with Mixers for Multi-interest Session-aware Recommendation.
.- Mixed Augmentation Contrastive Learning for Graph Recommendation System.
.- Noise-Resistant Graph Neural Networks for Session-based Recommendation.
.- S2DNMF: A Self-supervised Deep Nonnegative Matrix Factorization Recommenda

Web and Big Data

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    £66.49

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    RRP £69.99 – you save £3.50 (5%)

    Order before 4pm today for delivery by Fri 3 Jul 2026.

    A Paperback by Wenjie Zhang

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      Publisher: Springer
      Publication Date: 8/28/2024
      ISBN13: 9789819772346, 978-9819772346
      ISBN10: 9819772346
      Also in:
      Databases / Data management

      Description

      Book Synopsis

      .- Recommender System.
      .- Hierarchical Review-based Recommendation with Contrastive Collaboration.
      .- Adaptive Augmentation and Neighbor Contrastive Learning for Multi-Behavior Recommendation.
      .- Automated Modeling of Influence Diversity with Graph Convolutional Network for Social Recommendation.
      .- Contrastive Generator Generative Adversarial Networks for Sequential Recommendation.
      .- Distribution-aware Diversification for Personalized Re-ranking in Recommendation.
      .- KMIC: A Knowledge-aware Recommendation with Multivariate Intentions Contrastive Learning.
      .- Logic Preference Fusion Reasoning on Recommendation.
      .- MHGNN: Hybrid Graph Neural Network with Mixers for Multi-interest Session-aware Recommendation.
      .- Mixed Augmentation Contrastive Learning for Graph Recommendation System.
      .- Noise-Resistant Graph Neural Networks for Session-based Recommendation.
      .- S2DNMF: A Self-supervised Deep Nonnegative Matrix Factorization Recommenda

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