Abhay Shuklasilpara.hashnode.dev·May 15, 2024ESMM et al. - Part 2This post is about the first paper which introduces the ESMM approach. The full paper is available here, it is fairly easy to read. Which Issues ESMM Addresses? ESMM proposes an approach to address sample selection bias (SSB) and data sparsity (DS) a...Discussrecsys
Abhay Shuklasilpara.hashnode.dev·May 6, 2024ESMM et al. - Part 1[In this post, I will use ESMM et al. to describe ESMM and subsequent research along this line of work.] [I will only motivate/introduce the need for ESMM et al. in the post below.] ESMM et al. aims at addressing the issues with modeling conversion (...Discussrecsys
Rohit MehraforRecommender Systemsreco.hashnode.dev·Feb 9, 2024Popularity Bias in Recommender SystemsPopular items are recommended even more frequently than their popularity would warrant The long-tail phenomenon is common in RS data: in most cases, a small fraction of popular items account for most user interactions When trained on such long-tail...Discussrecsys
David Chongdavidcjw.hashnode.dev·Jun 19, 2022Why We Use Sparse Matrices for Recommender SystemsIn recommender systems, we typically work with very sparse matrices as the item universe is very large while a single user typically interacts with a very small subset of the item universe. Take YouTube for example — a user typically watches hundreds...Discuss·68 readsMachine Learning