{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T14:25:01Z","timestamp":1774880701152,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,10,1]],"date-time":"2017-10-01T00:00:00Z","timestamp":1506816000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1405688"],"award-info":[{"award-number":["CNS-1405688"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1145\/3121050.3121052","type":"proceedings-article","created":{"date-parts":[[2017,9,29]],"date-time":"2017-09-29T12:48:56Z","timestamp":1506689336000},"page":"133-140","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Mining the Temporal Statistics of Query Terms for Searching Social Media Posts"],"prefix":"10.1145","author":[{"given":"Jinfeng","family":"Rao","sequence":"first","affiliation":[{"name":"University of Maryland, College Park, MD, USA"}]},{"given":"Ferhan","family":"Ture","sequence":"additional","affiliation":[{"name":"Comcast Applied AI Research Lab, Washington, DC, USA"}]},{"given":"Xing","family":"Niu","sequence":"additional","affiliation":[{"name":"University of Maryland, College Park, MD, USA"}]},{"given":"Jimmy","family":"Lin","sequence":"additional","affiliation":[{"name":"University of Waterloo, Waterloo, ON, Canada"}]}],"member":"320","published-online":{"date-parts":[[2017,10]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098027"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2911519"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2396761.2398674"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Olga Craveiro Joaquim Macedo and Henrique Madeira. 2014. Query Expansion with Temporal Segmented Texts. In ECIR. 612--617.  Olga Craveiro Joaquim Macedo and Henrique Madeira. 2014. Query Expansion with Temporal Segmented Texts. In ECIR. 612--617.","DOI":"10.1007\/978-3-319-06028-6_65"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.187"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772725"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2009916.2009984"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609575"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1718487.1718489"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1247715.1247720"},{"key":"e_1_3_2_1_11_1","volume-title":"TEMPER: A Temporal Relevance Feedback Method. In ECIR. 436--447.","author":"Keikha Mostafa","year":"2011","unstructured":"Mostafa Keikha , Shima Gerani , and Fabio Crestani . 2011 . TEMPER: A Temporal Relevance Feedback Method. In ECIR. 436--447. Mostafa Keikha, Shima Gerani, and Fabio Crestani. 2011. TEMPER: A Temporal Relevance Feedback Method. In ECIR. 436--447."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/956863.956951"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10791-006-9019-z"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2463676.2465290"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/290941.291008"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2187836.2187918"},{"key":"e_1_3_2_1_17_1","volume-title":"Integrating Lexical and Temporal Signals in Neural Ranking Models for Social Media Search SIGIR Workshop on Neural Information Retrieval (Neu-IR).","author":"Rao Jinfeng","year":"2017","unstructured":"Jinfeng Rao , Hua He , Haotian Zhang , Ferhan Ture , Royal Sequiera , Salman Mohammed , and Jimmy Lin 2017 . Integrating Lexical and Temporal Signals in Neural Ranking Models for Social Media Search SIGIR Workshop on Neural Information Retrieval (Neu-IR). Jinfeng Rao, Hua He, Haotian Zhang, Ferhan Ture, Royal Sequiera, Salman Mohammed, and Jimmy Lin 2017. Integrating Lexical and Temporal Signals in Neural Ranking Models for Social Media Search SIGIR Workshop on Neural Information Retrieval (Neu-IR)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2970398.2970424"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Jinfeng Rao Jimmy Lin and Miles Efron 2015. Reproducible Experiments on Lexical and Temporal Feedback for Tweet Search. ECIR. 755--767.  Jinfeng Rao Jimmy Lin and Miles Efron 2015. Reproducible Experiments on Lexical and Temporal Feedback for Tweet Search. ECIR. 755--767.","DOI":"10.1007\/978-3-319-16354-3_82"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Jinfeng Rao Xing Niu and Jimmy Lin 2016. Compressing and Decoding Term Statistics Time Series ECIR. 675--681.  Jinfeng Rao Xing Niu and Jimmy Lin 2016. Compressing and Decoding Term Statistics Time Series ECIR. 675--681.","DOI":"10.1007\/978-3-319-30671-1_52"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2348283.2348364"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1321440.1321528"}],"event":{"name":"ICTIR '17: ACM SIGIR International Conference on the Theory of Information Retrieval","location":"Amsterdam The Netherlands","acronym":"ICTIR '17","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3121050.3121052","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3121050.3121052","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3121050.3121052","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T19:05:05Z","timestamp":1750273505000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3121050.3121052"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10]]},"references-count":22,"alternative-id":["10.1145\/3121050.3121052","10.1145\/3121050"],"URL":"https:\/\/doi.org\/10.1145\/3121050.3121052","relation":{},"subject":[],"published":{"date-parts":[[2017,10]]},"assertion":[{"value":"2017-10-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}