{"id":13145,"date":"2023-08-03T18:28:19","date_gmt":"2023-08-03T22:28:19","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13145"},"modified":"2023-08-03T18:28:19","modified_gmt":"2023-08-03T22:28:19","slug":"leveraging-transformers-to-improve-product-retrieval-results","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/leveraging-transformers-to-improve-product-retrieval-results\/13145\/","title":{"rendered":"Leveraging Transformers to Improve Product Retrieval Results"},"content":{"rendered":"Originally published in Amazon Science, Aug 3, 2023. Assessing the absolute utility of query results, rather than just their relative utility, improves learning-to-rank models. When a customer clicks on an item in a list of product-search results, it implies that that item is better than those not clicked. \u201cLearning to rank\u201d models leverage such implicit feedback to improve search results, comparing clicked and unclicked results in either \u201cpairwise\u201d (comparing pairs of results) or listwise (judging a results position within the list) fashion. A problem with this approach is the lack of\u00a0absolute feedback.\u00a0For instance, if no items in the <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/leveraging-transformers-to-improve-product-retrieval-results\/13145\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Amazon Science, Aug 3, 2023. Assessing the absolute utility of query results, rather than just their relative utility, improves learning-to-rank models. When a customer clicks on an item in a list of product-search results, it implies that that item is better than those not clicked. \u201cLearning to rank\u201d models leverage such implicit [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[879,368,243,1315,816],"class_list":["post-13145","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-artificial-intelligence","tag-machine-learning","tag-online-retail-analytics","tag-retail-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13145","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=13145"}],"version-history":[{"count":5,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13145\/revisions"}],"predecessor-version":[{"id":13150,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13145\/revisions\/13150"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13145"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13145"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13145"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}