Representing and recommending shopping baskets with complementarity, compatibility and loyalty
We study the problem of representing and recommending products for grocery shopping.
We carefully investigate grocery transaction data and observe three important patterns …
We carefully investigate grocery transaction data and observe three important patterns …
A memory-efficient approach to the scalability of recommender system with hit improvement
Z Zhao, Y Sheng, M Zhu, J Wang - IEEE Access, 2018 - ieeexplore.ieee.org
With the rapid increase of users and resources on the Internet, the scale of the recommender
system becomes larger and larger. There are three major challenges facing in recommender …
system becomes larger and larger. There are three major challenges facing in recommender …
Analyzing hypersensitive AI: instability in corporate-scale machine learning
M Regneri, M Hoffmann, J Kost, N Pietsch… - arXiv preprint arXiv …, 2018 - arxiv.org
Predictive geometric models deliver excellent results for many Machine Learning use cases.
Despite their undoubted performance, neural predictive algorithms can show unexpected …
Despite their undoubted performance, neural predictive algorithms can show unexpected …