{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:01:42Z","timestamp":1750309302755,"version":"3.41.0"},"reference-count":4,"publisher":"Association for Computing Machinery (ACM)","issue":"8","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Commun. ACM"],"published-print":{"date-parts":[[2024,8]]},"abstract":"<jats:p>Modern recommender systems use sophisticated engineering to suggest the thing you will want to buy, read, watch, or hear next online.<\/jats:p>","DOI":"10.1145\/3673426","type":"journal-article","created":{"date-parts":[[2024,7,11]],"date-time":"2024-07-11T15:28:47Z","timestamp":1720711727000},"page":"14-16","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["How Today's Recommender Systems Use Machine Learning to Cater to Your Every Whim"],"prefix":"10.1145","volume":"67","author":[{"given":"Logan","family":"Kugler","sequence":"first","affiliation":[{"name":"Tampa, Florida"}]}],"member":"320","published-online":{"date-parts":[[2024,8]]},"reference":[{"key":"e_1_3_1_2_1","unstructured":"Goodrow C. On YouTube\u2019s recommendation system YouTube Sep. 15 2021 https:\/\/blog.youtube\/inside-youtube\/on-youtubes-recommendation-system\/"},{"key":"e_1_3_1_3_1","unstructured":"Hardesty L. The history of Amazon\u2019s recommendation algorithm Amazon Science Nov. 22 2019 https:\/\/www.amazon.science\/the-history-of-amazons-recommendation-algorithm"},{"key":"e_1_3_1_4_1","unstructured":"Hardesty L. RecSys: Rajeev Rastogi on three recommendation system challenges Amazon Science Sep. 14 2023 https:\/\/www.amazon.science\/blog\/recsys-rajeev-rastogi-on-three-recommendation-system-challenges"},{"key":"e_1_3_1_5_1","doi-asserted-by":"crossref","unstructured":"Linden G. et al Amazon.com recommendations: item-to-item collaborative filtering IEEE Jan. 2003 https:\/\/ieeexplore.ieee.org\/document\/1167344","DOI":"10.1109\/MIC.2003.1167344"}],"container-title":["Communications of the ACM"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3673426","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3673426","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:03:41Z","timestamp":1750291421000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3673426"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8]]},"references-count":4,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2024,8]]}},"alternative-id":["10.1145\/3673426"],"URL":"https:\/\/doi.org\/10.1145\/3673426","relation":{},"ISSN":["0001-0782","1557-7317"],"issn-type":[{"type":"print","value":"0001-0782"},{"type":"electronic","value":"1557-7317"}],"subject":[],"published":{"date-parts":[[2024,8]]},"assertion":[{"value":"2024-08-01","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}