{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T23:10:00Z","timestamp":1783638600647,"version":"3.55.0"},"publisher-location":"Republic and Canton of Geneva, Switzerland","reference-count":37,"publisher":"International World Wide Web Conferences Steering Committee","license":[{"start":{"date-parts":[[2017,4,3]],"date-time":"2017-04-03T00:00:00Z","timestamp":1491177600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,4,3]]},"DOI":"10.1145\/3038912.3052629","type":"proceedings-article","created":{"date-parts":[[2017,4,6]],"date-time":"2017-04-06T13:30:38Z","timestamp":1491485438000},"page":"293-301","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":19,"title":["Inferring Individual Attributes from Search Engine Queries and Auxiliary Information"],"prefix":"10.1145","author":[{"given":"Luca","family":"Soldaini","sequence":"first","affiliation":[{"name":"Georgetown University, Washingon, DC, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elad","family":"Yom-Tov","sequence":"additional","affiliation":[{"name":"Microsoft Research, Herzliya, Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2017,4,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1093\/pan\/mpu011"},{"key":"e_1_3_2_1_2_1","first-page":"236","volume-title":"Image Processing","author":"Burl M. C.","year":"1994","unstructured":"M. C. Burl, U. M. Fayyad, P. Perona, and P. Smyth. Automated analysis of radar imagery of venus: handling lack of ground truth. In Image Processing, volume 3, pages 236--240. IEEE, 1994."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2011.766"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.5555\/1841234"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/PASSAT\/SocialCom.2011.34"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/3013558.3013570"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390334.1390436"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1177\/0894439313506850"},{"key":"e_1_3_2_1_9_1","volume-title":"Technical report, jul","author":"Federal Election Commission","year":"2013","unstructured":"Federal Election Commission. Federal Elections 2012. Technical report, jul 2013."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783300"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature07634"},{"key":"e_1_3_2_1_12_1","volume-title":"ICWSM","author":"Goel S.","year":"2012","unstructured":"S. Goel, J. M. Hofman, and M. I. Sirer. Who does what on the web: A large-scale study of browsing behavior. In ICWSM, 2012."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242594"},{"key":"e_1_3_2_1_14_1","volume-title":"Finding groups in data: an introduction to cluster analysis","author":"Kaufman L.","year":"2009","unstructured":"L. Kaufman and P. J. Rousseeuw. Finding groups in data: an introduction to cluster analysis, volume 344. John Wiley & Sons, 2009."},{"key":"e_1_3_2_1_15_1","volume-title":"A solution to the ecological inference problem","author":"King G.","year":"1997","unstructured":"G. King. A solution to the ecological inference problem. Princeton University Press, 1997."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.5555\/3020336.3020378"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1003581"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0045921"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10791-015-9269-8"},{"key":"e_1_3_2_1_20_1","volume-title":"Screening for pancreatic adenocarcinoma using signals from web search logs: Feasibility study and results. Journal of Oncology Practice, page JOPR010504","author":"Paparrizos J.","year":"2016","unstructured":"J. Paparrizos, R. W. White, and E. Horvitz. Screening for pancreatic adenocarcinoma using signals from web search logs: Feasibility study and results. Journal of Oncology Practice, page JOPR010504, 2016."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623659"},{"key":"e_1_3_2_1_22_1","first-page":"6","article-title":"Twitter improves influenza forecasting","author":"Paul M. J.","year":"2014","unstructured":"M. J. Paul, M. Dredze, and D. Broniatowski. Twitter improves influenza forecasting. PLoS Currents, 6, 2014.","journal-title":"PLoS Currents"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/2893481"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1086\/593098"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.5555\/1207109"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.5555\/1577069.1755865"},{"key":"e_1_3_2_1_27_1","volume-title":"Large scale distributed semi-supervised learning using streaming approximation. arXiv:1512.01752","author":"Ravi S.","year":"2015","unstructured":"S. Ravi and Q. Diao. Large scale distributed semi-supervised learning using streaming approximation. arXiv:1512.01752, 2015."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1037\/h0042519"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2063576.2063674"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10791-015-9258-y"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1471-1842.2004.00481.x"},{"key":"e_1_3_2_1_32_1","volume-title":"United States cancer statistics: 1999--2010 incidence and mortality web-based report","author":"US Cancer Statistics Working Group","year":"2013","unstructured":"US Cancer Statistics Working Group. United States cancer statistics: 1999--2010 incidence and mortality web-based report. Atlanta: US Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute, 2013."},{"key":"e_1_3_2_1_33_1","volume-title":"Centers for Disease Control and Prevention","author":"US Cancer Statistics Working Group et al.","year":"2015","unstructured":"US Cancer Statistics Working Group et al. United States cancer statistics: 1999--2015 incidence and mortality web-based report. Atlanta (GA): Department of Health and Human Services, Centers for Disease Control and Prevention, and National Cancer Institute, 2015."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-36973-5_92"},{"key":"e_1_3_2_1_35_1","volume-title":"Automatic identification of web-based risk markers for health events. JMIR, 17(1)","author":"Yom-Tov E.","year":"2015","unstructured":"E. Yom-Tov, D. Borsa, A. C. Hayward, R. A. McKendry, and I. J. Cox. Automatic identification of web-based risk markers for health events. JMIR, 17(1), 2015."},{"issue":"6","key":"e_1_3_2_1_36_1","first-page":"e124","article-title":"Postmarket drug surveillance without trial costs: discovery of adverse drug reactions through large-scale analysis of web search queries","volume":"15","author":"Yom-Tov E.","year":"2013","unstructured":"E. Yom-Tov and E. Gabrilovich. Postmarket drug surveillance without trial costs: discovery of adverse drug reactions through large-scale analysis of web search queries. JMIR, 15(6):e124, 2013.","journal-title":"JMIR"},{"key":"e_1_3_2_1_37_1","volume-title":"Seeking insights about cycling mood disorders via anonymized search logs. JMIR, 16(2)","author":"Yom-Tov E.","year":"2014","unstructured":"E. Yom-Tov, R. W. White, and E. Horvitz. Seeking insights about cycling mood disorders via anonymized search logs. JMIR, 16(2), 2014."}],"event":{"name":"WWW '17: 26th International World Wide Web Conference","location":"Perth Australia","acronym":"WWW '17","sponsor":["IW3C2 International World Wide Web Conference Committee","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the 26th International Conference on World Wide Web"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3038912.3052629","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3038912.3052629","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:24:07Z","timestamp":1750220647000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3038912.3052629"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4,3]]},"references-count":37,"alternative-id":["10.1145\/3038912.3052629","10.5555\/3038912"],"URL":"https:\/\/doi.org\/10.1145\/3038912.3052629","relation":{},"subject":[],"published":{"date-parts":[[2017,4,3]]},"assertion":[{"value":"2017-04-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}