A Scalable Recommendation Engine for New Users and Items. (arXiv:2209.06128v1 [cs.IR])

In many digital contexts such as online news and e-tailing with many new
users and items, recommendation systems face several challenges: i) how to make
initial recommendations to users with little or no response history (i.e.,
cold-start problem), ii) how to learn user preferences on items (test and
learn), and iii) how to scale across many users and items with myriad
demographics and attributes. While many recommendation systems accommodate
aspects of these challenges, few if any address all. This paper …

arxiv recommendation recommendation engine scalable