{"id":"https://openalex.org/W2135728924","doi":"https://doi.org/10.1145/2661829.2661900","title":"Revisiting the Divergence Minimization Feedback Model","display_name":"Revisiting the Divergence Minimization Feedback Model","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W2135728924","doi":"https://doi.org/10.1145/2661829.2661900","mag":"2135728924"},"language":"en","primary_location":{"id":"doi:10.1145/2661829.2661900","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2661900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045898854","display_name":"Yuanhua Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuanhua Lv","raw_affiliation_strings":["Microsoft Research, Mountain View, CA, USA","Microsoft Research, Mountain View, CA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Research, Mountain View, CA, USA#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028518494","display_name":"ChengXiang Zhai","orcid":"https://orcid.org/0000-0002-6434-3702"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ChengXiang Zhai","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL, USA","University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana/Champaign, Urbana, IL, USA#TAB#","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045898854"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":11.4526,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.98140521,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1863","last_page":"1866"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7317466735839844},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.658930778503418},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.6265377402305603},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5694902539253235},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.47286534309387207},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.42041879892349243},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4128156304359436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3908715546131134},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3865090310573578},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32131192088127136},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.10223725438117981}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317466735839844},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.658930778503418},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.6265377402305603},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5694902539253235},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.47286534309387207},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.42041879892349243},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4128156304359436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3908715546131134},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3865090310573578},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32131192088127136},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.10223725438117981},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2661829.2661900","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2661900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.673.8602","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.673.8602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://sifaka.cs.uiuc.edu/%7Eylv2/pub/cikm14-medmm.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3690117952","display_name":null,"funder_award_id":"CNS-1027965","funder_id":"https://openalex.org/F4320337388","funder_display_name":"Division of Computer and Network Systems"}],"funders":[{"id":"https://openalex.org/F4320337388","display_name":"Division of Computer and Network Systems","ror":"https://ror.org/02rdzmk74"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1525341925","https://openalex.org/W1557757161","https://openalex.org/W1964348731","https://openalex.org/W1966093341","https://openalex.org/W2018478052","https://openalex.org/W2040631151","https://openalex.org/W2043909051","https://openalex.org/W2052088591","https://openalex.org/W2068905009","https://openalex.org/W2107370612","https://openalex.org/W2117473841","https://openalex.org/W2136542423","https://openalex.org/W2142769902","https://openalex.org/W2159859920","https://openalex.org/W2164547069","https://openalex.org/W2169213601","https://openalex.org/W4240913316","https://openalex.org/W4243333943","https://openalex.org/W4246858749","https://openalex.org/W6684151790"],"related_works":["https://openalex.org/W1483679762","https://openalex.org/W1965565478","https://openalex.org/W4287754052","https://openalex.org/W3036335698","https://openalex.org/W3208095355","https://openalex.org/W1921936017","https://openalex.org/W1769143050","https://openalex.org/W1595231356","https://openalex.org/W2109141752","https://openalex.org/W2047632477"],"abstract_inverted_index":{"Pseudo-relevance":[0],"feedback":[1,79,85],"(PRF)":[2],"has":[3,36,43],"proven":[4],"to":[5,46,57,104,145,152],"be":[6,146],"an":[7,101],"ef-fective":[8],"strategy":[9],"for":[10],"improving":[11],"retrieval":[12,51],"accuracy.":[13],"In":[14],"this":[15,89],"paper,":[16],"we":[17,91],"revisit":[18],"a":[19,93],"PRF":[20,132,141],"method":[21],"based":[22],"on":[23,109,135],"statistical":[24],"lan-guage":[25],"models,":[26],"namely":[27],"the":[28,50,67,75,78,130,149,164],"divergence":[29,95],"minimization":[30,96],"model":[31,97],"(DMM).":[32],"DMM":[33,72],"not":[34,116],"only":[35,117],"apparently":[37],"sound":[38],"theoretical":[39],"foundation,":[40],"but":[41,123],"also":[42,124],"been":[44],"shown":[45],"satisfy":[47],"most":[48],"of":[49,77,129],"constraints.":[52],"However,":[53],"it":[54],"turns":[55],"out":[56],"perform":[58,153],"sur-prisingly":[59],"poorly":[60],"in":[61],"many":[62],"previous":[63],"experiments.":[64],"We":[65],"investi-gate":[66],"cause,":[68],"and":[69],"reveal":[70],"that":[71,114,143],"inappropriately":[73],"tackles":[74],"entropy":[76,102],"model,":[80],"which":[81],"generates":[82],"highly":[83],"skewed":[84],"model.":[86],"To":[87],"address":[88],"problem,":[90],"pro-pose":[92],"maximum-entropy":[94],"(MEDMM)":[98],"by":[99],"introducing":[100],"term":[103],"regularize":[105],"DMM.":[106],"Our":[107],"experiments":[108],"various":[110],"TREC":[111],"collections":[112],"demon-strate":[113],"MEDMM":[115,155],"works":[118],"much":[119],"better":[120],"than":[121],"DMM,":[122],"outperforms":[125],"several":[126],"other":[127],"state":[128],"art":[131],"methods,":[133],"especially":[134],"web":[136],"collections.":[137],"Moreover,":[138],"unlike":[139],"existing":[140],"models":[142],"have":[144],"combined":[147,162],"with":[148,163],"original":[150,165],"query":[151],"well,":[154],"can":[156],"work":[157],"effec-tively":[158],"even":[159],"without":[160],"being":[161],"query.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}