Straightforwardly adopting existing GNN-based recommendation methods, we deviseĪ novel criteria preference-aware light graph convolution CPA-LGC method, which Towards designing a GNN-aided MC recommender system. In light of this, we make the first attempt Learning graph representations, it has been still unexplored how to design MC Surprisingly, although graph neural networks (GNNs) have been widely applied toĭevelop various recommender systems due to GNN's high expressive capability in Information in a wide range of e-commerce areas, is ubiquitous nowadays. Download a PDF of the paper titled Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation, by Jin-Duk Park and 3 other authors Download PDF Abstract: The multi-criteria (MC) recommender system, which leverages MC rating
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