{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T17:43:30Z","timestamp":1772300610195,"version":"3.50.1"},"reference-count":21,"publisher":"IEEE Comput. Soc","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1109\/icdm.2003.1250921","type":"proceedings-article","created":{"date-parts":[[2004,4,23]],"date-time":"2004-04-23T18:38:15Z","timestamp":1082745495000},"page":"203-210","source":"Crossref","is-referenced-by-count":40,"title":["Probabilistic user behavior models"],"prefix":"10.1109","author":[{"given":"E.","family":"Manavoglu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D.","family":"Pavlov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C.L.","family":"Giles","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Sequential conditional generalized iterative scaling","author":"goodman","year":"2002","journal-title":"Proceedings of ACL"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1023\/A:1009730122752","article-title":"Bayesian networks for data mining","volume":"1","author":"heckerman","year":"1997","journal-title":"Data Mining and Knowledge Discovery"},{"key":"ref12","first-page":"49","article-title":"Dependency networks for density estimation, collaborative filtering, and data visualization","volume":"1","author":"heckerman","year":"2000","journal-title":"Journal of Machine Learning Research"},{"key":"ref13","author":"jelinek","year":"1998","journal-title":"Statistical Methods for Speech Recognition"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/2.769447"},{"key":"ref15","first-page":"80","article-title":"Integrating classification and association rule mining","author":"liu","year":"1998","journal-title":"Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/345124.345169"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2003.1250927"},{"key":"ref18","article-title":"A maximum entropy approach to collaborative filtering in dynamic, sparse, high-dimensional domains","author":"pavlov","year":"2002","journal-title":"Proceedings of Neural Information Processing Systems"},{"key":"ref19","first-page":"727","article-title":"Adaptive web sites: Automatically synthesizing web pages","author":"perkowitz","year":"1998","journal-title":"Proceedings of the Fifteenth National Conference on Artificial Intelligence"},{"key":"ref4","article-title":"A gaussian prior for smoothing maximum entropy models","author":"chen","year":"1999","journal-title":"Technical Report CMUCS-99&#x2013;108"},{"key":"ref3","article-title":"Predictive profiles for transaction data using finite mixture models","author":"cadez","year":"2001","journal-title":"Technical Report UCI-ICS 01&#x2013;67"},{"key":"ref6","article-title":"Collaborative filtering with maximum entropy","author":"pavlov","year":"2003","journal-title":"Technical Report 2003-L001"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/KDEX.1997.629824"},{"key":"ref8","first-page":"1","article-title":"Maximum likelihood from incomplete data via the EM algorithm","volume":"b 39","author":"dempster","year":"1977","journal-title":"Journal of the Royal Statistical Society"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177692379"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/347090.347151"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/306101.306124"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2001.940893"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/34.588021"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/192844.192905"}],"event":{"name":"Third IEEE International Conference on Data Mining","location":"Melbourne, FL, USA","acronym":"ICDM-03"},"container-title":["Third IEEE International Conference on Data Mining"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/8854\/27998\/01250921.pdf?arnumber=1250921","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,16]],"date-time":"2017-06-16T06:22:47Z","timestamp":1497594167000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/1250921\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icdm.2003.1250921","relation":{},"subject":[]}}