Beyond ndcg: behavioral testing of recommender systems with reclist
As with most Machine Learning systems, recommender systems are typically evaluated
through performance metrics computed over held-out data points. However, real-world …
through performance metrics computed over held-out data points. However, real-world …
Reasonable scale machine learning with open-source metaflow
J Tagliabue, H Bowne-Anderson, V Tuulos… - arXiv preprint arXiv …, 2023 - arxiv.org
As Machine Learning (ML) gains adoption across industries and new use cases,
practitioners increasingly realize the challenges around effectively developing and iterating …
practitioners increasingly realize the challenges around effectively developing and iterating …
DAG Card is the new Model Card
J Tagliabue, V Tuulos, C Greco, V Dave - arXiv preprint arXiv:2110.13601, 2021 - arxiv.org
With the progressive commoditization of modeling capabilities, data-centric AI recognizes
that what happens before and after training becomes crucial for real-world deployments …
that what happens before and after training becomes crucial for real-world deployments …
" Does it come in black?" CLIP-like models are zero-shot recommenders
Product discovery is a crucial component for online shopping. However, item-to-item
recommendations today do not allow users to explore changes along selected dimensions …
recommendations today do not allow users to explore changes along selected dimensions …
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems
Recommender Systems today are still mostly evaluated in terms of accuracy, with other
aspects beyond the immediate relevance of recommendations, such as diversity, long-term …
aspects beyond the immediate relevance of recommendations, such as diversity, long-term …
[PDF][PDF] Dynamic Filter Discovery and Ranking Framework for Search and Browse Experiences in E-Commerce.
L Pradhan, L Yu, B Li, V Simhadri… - eCom@ SIGIR, 2023 - sigir-ecom.github.io
Searching and browsing events in an e-commerce platform can result in many products
being retrieved and displayed to customers. In many cases, a sizable number of suggestions …
being retrieved and displayed to customers. In many cases, a sizable number of suggestions …