Live Session
Tutorial: Deep Recommendation using Graphs
Deep Recommendation using Graphs
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Panagiotis Symeonidis
Abstract
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The tutorial will offer a rich blend of theory and practice. It is important for the RecSys community because it describes graph-based algorithms to model the user preferences and to address the similarity search and recommendation problem. This problem affects our everyday experience while searching for knowledge on a topic with challenging issues such as scalability, noise, and sparsity. We can deal with all the challenges by applying graph-based methods. We will provide a detailed step-by-step analysis, by using an integrated toy example with notebooks using python, which runs throughout main parts of the tutorial, and helps the audience to clearly understand the differences among different graph-based methods.