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SCHOLARLY PUBLICATION

Inferring Networks of Substitutable and Complementary Products

Julian McAuley, Rahul Pandey, Jure Leskovec

📖 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 📅 2015-08-07 🔗 DOI: 10.1145/2783258.2783381

📄 Abstract

To design a useful recommender system, it is important to understand how products relate to each other. For example, while a user is browsing mobile phones, it might make sense to recommend other phones, but once they buy a phone, we might instead want to recommend batteries, cases, or chargers. In economics, these two types of recommendations are referred to as substitutes and complements: substitutes are products that can be purchased instead of each other, while complements are products that can be purchased in addition to each other. Such relationships are essential as they help us to identify items that are relevant to a user’s search.

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