CS224W Project Final Report: Using community detection and link prediction to improve Amazon recommendations
نویسندگان
چکیده
As the largest online retailer, Amazon has a huge product base and community of reviewers. A lot of work has been done to determine reviewer communities [6], examine the user reviews of products to model opinion evaluation [7], study how information cascades contribute to opinion formation [6] and study product communities to improve recommendation engines. In this paper, we explore how we can use community detection on Amazon user and item graphs to improve link prediction between reviewers and products. We present a basic recommendation engine that takes in the dataset and outputs product recommendations for each user.
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