S. Muthukrishnan
3 papers in the PaperMetrix corpus
Papers by this author
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Graphical Model Sketch
2016 · arXiv (Cornell University)
Structured high-cardinality data arises in many domains, and poses a major challenge for both modeling and inference. Graphical models are a popular approach to modeling structured data but they are unsuitable for high-cardinality variables. The …
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Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
2019
Recent advances in personalized recommendation have sparked great interest in the exploitation of rich structured information provided by knowledge graphs. Unlike most existing approaches that only focus on leveraging knowledge graphs for more accurate recommendation, …
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CAFE
2020
Recent research explores incorporating knowledge graphs (KG) into e-commerce recommender systems, not only to achieve better recommendation performance, but more importantly to generate explanations of why particular decisions are made. This can be achieved by …