DeepAffinity preprint puts long-term product preference prediction on the commerce research radar

DeepAffinity: Long-Term Aspect Preference Prediction in eCommerce using Small Language Models is listed in the arXiv cs.AI Daily Feed under identifier 2609.02468.

The record lists Yotam Eshel, Guy Hadad, Guy Feigenblat, Yuri M. Brovman, Matt Gearhart, and Bracha Shapira as authors.

The research record gives the item a 2026 publication year and a preprint status; it is not identified as peer-reviewed.

The available evidence contains bibliographic metadata only. No paper body, abstract, quotation, or PDF was retained, so no method details, results, or effect sizes can be verified.

Long-term