2015 InferringNetworksofSubstitutabl

• (McAuley et al., 2015a) ⇒ Julian McAuley, Rahul Pandey, and Jure Leskovec. (2015). “Inferring Networks of Substitutable and Complementary Products.” In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). ISBN:978-1-4503-3664-2 doi:10.1145/2783258.2783381

Subject Headings: Complementary Product Recommendation, Substitute Product Recommendation.

Cited By

• http://scholar.google.com/scholar?q=%222015%22+Inferring+Networks+of+Substitutable+and+Complementary+Products
• http://dl.acm.org/citation.cfm?id=2783258.2783381&preflayout=flat#citedby

Quotes

Author Keywords

• Data mining; link prediction; recommender systems; substitutes and complements; topic models

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.

Our goal in this paper is to learn the semantics of substitutes and complements from the text of online reviews. We treat this as a supervised learning problem, trained using networks of products derived from browsing and co-purchasing logs. Methodologically, we build topic models that are trained to automatically discover topics from product reviews that are successful at predicting and explaining such relationships. Experimentally, we evaluate our system on the Amazon product catalog, a large dataset consisting of 9 million products, 237 million links, and 144 million reviews.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2015 InferringNetworksofSubstitutabl	Jure Leskovec Julian McAuley Rahul Pandey			Inferring Networks of Substitutable and Complementary Products				10.1145/2783258.2783381		2015