{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T18:08:36Z","timestamp":1784138916718,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T00:00:00Z","timestamp":1784419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"The Ministry of Economic Development of the Russian Federation","award":["agreement identifier 000000C313925P4H0002&#x3b; grant No 139-15-2025-012"],"award-info":[{"award-number":["agreement identifier 000000C313925P4H0002&#x3b; grant No 139-15-2025-012"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,7,20]]},"DOI":"10.1145\/3805712.3808449","type":"proceedings-article","created":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T17:06:26Z","timestamp":1784135186000},"page":"4886-4890","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Fast and Feasible: Permutation-based Constrained Reranking for Revenue Maximization"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-4672-5976","authenticated-orcid":false,"given":"Svetlana","family":"Shirokovskikh","sequence":"first","affiliation":[{"name":"Avito, Moscow, Russian Federation"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5374-2347","authenticated-orcid":false,"given":"Anastasiia","family":"Soboleva","sequence":"additional","affiliation":[{"name":"Avito, Moscow, Russian Federation and AI Center &amp; IAI, Lomonosov Moscow State University, Moscow, Russian Federation"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-2279-5926","authenticated-orcid":false,"given":"Ekaterina","family":"Solodneva","sequence":"additional","affiliation":[{"name":"AI Center, Lomonosov Moscow State University, Moscow, Russian Federation and Avito, Moscow, Russian Federation"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7050-1615","authenticated-orcid":false,"given":"Aleksandr","family":"Katrutsa","sequence":"additional","affiliation":[{"name":"Avito, Moscow, Russian Federation and AI Center, Lomonosov Moscow State University, Moscow, Russian Federation"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-1700-7204","authenticated-orcid":false,"given":"Roman","family":"Loginov","sequence":"additional","affiliation":[{"name":"Avito, Moscow, Russian Federation"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3399-4235","authenticated-orcid":false,"given":"Egor","family":"Samosvat","sequence":"additional","affiliation":[{"name":"Avito, Moscow, Russian Federation"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,19]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"MOSEK ApS. 2025. The MOSEK Python Fusion API manual. Version Mosek=11.1.6. https:\/\/docs.mosek.com\/latest\/pythonfusion\/index.html"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3696410.3714731"},{"key":"e_1_3_2_1_3_1","volume-title":"Constrained multi-slot optimization for ranking recommendations. arXiv preprint arXiv:1602.04391","author":"Basu Kinjal","year":"2016","unstructured":"Kinjal Basu, Shaunak Chatterjee, and Ankan Saha. 2016. Constrained multi-slot optimization for ranking recommendations. arXiv preprint arXiv:1602.04391 (2016)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2990567"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-02294-4"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13735-025-00383-7"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3486250"},{"key":"e_1_3_2_1_8_1","volume-title":"Re-ranking with constraints on diversified exposures for homepage recommender system. arXiv preprint arXiv:2112.07621","author":"Hao Qi","year":"2021","unstructured":"Qi Hao, Tianze Luo, and Guangda Huzhang. 2021. Re-ranking with constraints on diversified exposures for homepage recommender system. arXiv preprint arXiv:2112.07621 (2021)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3771925"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12532-017-0130-5"},{"key":"e_1_3_2_1_11_1","volume-title":"Neural re-ranking in multi-stage recommender systems: A review. arXiv preprint arXiv:2202.06602","author":"Liu Weiwen","year":"2022","unstructured":"Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, and Ruiming Tang. 2022. Neural re-ranking in multi-stage recommender systems: A review. arXiv preprint arXiv:2202.06602 (2022)."},{"key":"e_1_3_2_1_12_1","volume-title":"The Power of Linear Programming in Sponsored Listings Ranking: Evidence from Field Experiments. arXiv preprint arXiv:2403.14862","author":"Lu Haihao","year":"2024","unstructured":"Haihao Lu, Luyang Zhang, and Yuting Zhu. 2024. The Power of Linear Programming in Sponsored Listings Ranking: Evidence from Field Experiments. arXiv preprint arXiv:2403.14862 (2024)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3731935"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2629350"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531719"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3731966"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220088"},{"key":"e_1_3_2_1_18_1","volume-title":"RARe: Raising Ad Revenue Framework with Context-Aware Reranking. arXiv preprint arXiv:2504.05308","author":"Solodneva Ekaterina","year":"2025","unstructured":"Ekaterina Solodneva, Alexandra Khirianova, Aleksandr Katrutsa, Roman Loginov, Andrey Tikhanov, Egor Samosvat, and Yuriy Dorn. 2025. RARe: Raising Ad Revenue Framework with Context-Aware Reranking. arXiv preprint arXiv:2504.05308 (2025)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2914708"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1002\/9781119606475"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.11.041"},{"key":"e_1_3_2_1_22_1","volume-title":"Globally optimized mutual influence aware ranking in e-commerce search. arXiv preprint arXiv:1805.08524","author":"Zhuang Tao","year":"2018","unstructured":"Tao Zhuang, Wenwu Ou, and Zhirong Wang. 2018. Globally optimized mutual influence aware ranking in e-commerce search. arXiv preprint arXiv:1805.08524 (2018)."}],"event":{"name":"SIGIR '26: The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Melbourne VIC Australia","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"deposited":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T17:26:05Z","timestamp":1784136365000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3805712.3808449"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,19]]},"references-count":22,"alternative-id":["10.1145\/3805712.3808449","10.1145\/3805712"],"URL":"https:\/\/doi.org\/10.1145\/3805712.3808449","relation":{},"subject":[],"published":{"date-parts":[[2026,7,19]]},"assertion":[{"value":"2026-07-19","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}