{"version.version":"0.0.7","version.cm_url":"https://github.com/ceurws/ceur-spt","spt.html_url":"/Vol-4123/paper4.html","spt.description":null,"spt.id":"Vol-4123/paper4","spt.wikidataid":null,"spt.title":"NEAR²: A Nested Embedding Approach to Efficient Product Retrieval and Ranking","spt.pdfUrl":"https://ceur-ws.org/Vol-4123/paper_20.pdf","spt.volume":{"number":4123,"acronym":"eCOM 2025","wikidataid":null,"title":"Proceedings of the ACM SIGIR Workshop on eCommerce 2025","description":null,"url":null,"date":"2025-12-10","dblp":null,"k10plus":null,"urn":null},"spt.session":null,"cvb.id":"Vol-4123/paper4","cvb.title":"NEAR²: A Nested Embedding Approach to Efficient Product Retrieval and Ranking","cvb.type":null,"cvb.position":null,"cvb.pagesFrom":null,"cvb.pagesTo":null,"cvb.authors":"Shenbin Qian,Diptesh Kanojia,Samarth Agrawal,Hadeel Saadany,Swapnil Bhosale,Constantin Orasan,ZHE WU","cvb.vol_number":"4123","cvb.pdf_name":"paper_20.pdf","cvb.pages":null,"cvb.fail":null}