{"id":"https://openalex.org/W2735716999","doi":"https://doi.org/10.1145/3057282","title":"Search Result Diversification in Short Text Streams","display_name":"Search Result Diversification in Short Text Streams","publication_year":2017,"publication_date":"2017-07-17","ids":{"openalex":"https://openalex.org/W2735716999","doi":"https://doi.org/10.1145/3057282","mag":"2735716999"},"language":"en","primary_location":{"id":"doi:10.1145/3057282","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3057282","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10045775/1/Yilmaz_a8-liang_accepted%20manuscript.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060335069","display_name":"Shangsong Liang","orcid":"https://orcid.org/0000-0003-1625-2168"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shangsong Liang","raw_affiliation_strings":["University College London, UK"],"raw_orcid":"https://orcid.org/0000-0003-1625-2168","affiliations":[{"raw_affiliation_string":"University College London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076265623","display_name":"Emine Y\u0131lmaz","orcid":"https://orcid.org/0000-0002-3434-8932"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Emine Yilmaz","raw_affiliation_strings":["University College London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101878399","display_name":"Hong Shen","orcid":"https://orcid.org/0000-0003-0587-4818"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hong Shen","raw_affiliation_strings":["Sun Yat-sen University and University of Adelaide, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University and University of Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031439294","display_name":"Maarten de Rijke","orcid":"https://orcid.org/0000-0002-1086-0202"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Maarten De Rijke","raw_affiliation_strings":["University of Amsterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105659698","display_name":"W. Bruce Croft","orcid":"https://orcid.org/0000-0003-2391-9629"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. Bruce Croft","raw_affiliation_strings":["University of Massachusetts Amherst, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, U.S.A","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4525,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.93708124,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"36","issue":"1","first_page":"1","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9984999895095825,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9976999759674072,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9973999857902527,"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/diversification","display_name":"Diversification (marketing strategy)","score":0.7996495962142944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7557591795921326},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.6486130952835083},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6000787019729614},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.571274995803833},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4938672184944153},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.48451894521713257},{"id":"https://openalex.org/keywords/multinomial-distribution","display_name":"Multinomial distribution","score":0.4701390862464905},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.45081645250320435},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43655073642730713},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35507991909980774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22974056005477905},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.12374141812324524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09268766641616821}],"concepts":[{"id":"https://openalex.org/C180916674","wikidata":"https://www.wikidata.org/wiki/Q3711935","display_name":"Diversification (marketing strategy)","level":2,"score":0.7996495962142944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7557591795921326},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.6486130952835083},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6000787019729614},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.571274995803833},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4938672184944153},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.48451894521713257},{"id":"https://openalex.org/C192065140","wikidata":"https://www.wikidata.org/wiki/Q1147928","display_name":"Multinomial distribution","level":2,"score":0.4701390862464905},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.45081645250320435},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43655073642730713},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35507991909980774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22974056005477905},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.12374141812324524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09268766641616821},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3057282","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3057282","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10045775","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10045775/","pdf_url":"https://discovery.ucl.ac.uk/10045775/1/Yilmaz_a8-liang_accepted%20manuscript.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM Transactions on Information Systems , 36 (1) , Article 8. (2017)","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10045775","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10045775/","pdf_url":"https://discovery.ucl.ac.uk/10045775/1/Yilmaz_a8-liang_accepted%20manuscript.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM Transactions on Information Systems , 36 (1) , Article 8. (2017)","raw_type":"Article"},"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G418544512","display_name":null,"funder_award_id":"612.001.116, HOR-11-10, CI-14-25, 652.002.001, 612.001.551, 652.001.003 and Yandex","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2735716999.pdf","grobid_xml":"https://content.openalex.org/works/W2735716999.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W48679198","https://openalex.org/W190008395","https://openalex.org/W299870200","https://openalex.org/W1498594556","https://openalex.org/W1532325895","https://openalex.org/W1540921703","https://openalex.org/W1880262756","https://openalex.org/W1969077952","https://openalex.org/W1993320088","https://openalex.org/W1994962537","https://openalex.org/W1999892400","https://openalex.org/W2001082470","https://openalex.org/W2019196387","https://openalex.org/W2023188792","https://openalex.org/W2031302834","https://openalex.org/W2033765726","https://openalex.org/W2037098674","https://openalex.org/W2042980227","https://openalex.org/W2047952076","https://openalex.org/W2048978851","https://openalex.org/W2061922307","https://openalex.org/W2066365352","https://openalex.org/W2072644219","https://openalex.org/W2083305840","https://openalex.org/W2097193844","https://openalex.org/W2100802943","https://openalex.org/W2102230199","https://openalex.org/W2105745072","https://openalex.org/W2106490775","https://openalex.org/W2107214735","https://openalex.org/W2107743791","https://openalex.org/W2112050062","https://openalex.org/W2117071212","https://openalex.org/W2123263490","https://openalex.org/W2132314908","https://openalex.org/W2136453262","https://openalex.org/W2140124448","https://openalex.org/W2148212498","https://openalex.org/W2148367931","https://openalex.org/W2157391629","https://openalex.org/W2171258484","https://openalex.org/W2171343266","https://openalex.org/W2197919320","https://openalex.org/W2239566685","https://openalex.org/W2337233909","https://openalex.org/W2338551862","https://openalex.org/W2382102351","https://openalex.org/W2483960945","https://openalex.org/W2604882920","https://openalex.org/W2734889908","https://openalex.org/W3138773240","https://openalex.org/W4206671592","https://openalex.org/W4213009331","https://openalex.org/W4230624213","https://openalex.org/W4233135949","https://openalex.org/W4235169531"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W4293863151","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W2352674739"],"abstract_inverted_index":{"We":[0,87,118],"consider":[1],"the":[2,25,36,44,49,85,97,108],"problem":[3],"of":[4,10,27,39,46,51,107],"search":[5,14],"result":[6],"diversification":[7,92,111,116,144],"for":[8,53,84],"streams":[9,19],"short":[11,17,40,63],"texts.":[12],"Diversifying":[13],"results":[15],"in":[16,24,61],"text":[18,64],"is":[20,32],"more":[21],"challenging":[22],"than":[23],"case":[26],"long":[28],"documents,":[29],"as":[30,77,79,140,142],"it":[31],"difficult":[33],"to":[34],"capture":[35,43],"latent":[37],"topics":[38,47],"documents.":[41],"To":[42],"changes":[45],"and":[48,125],"probabilities":[50],"documents":[52],"a":[54,58,62,68,80,90,122],"given":[55],"query":[56],"at":[57],"specific":[59],"time":[60],"stream,":[65],"we":[66],"propose":[67,89],"dynamic":[69,149],"Dirichlet":[70],"multinomial":[71],"mixture":[72],"topic":[73,150],"model,":[74],"called":[75],"D2M3,":[76],"well":[78,141],"Gibbs":[81],"sampling":[82],"algorithm":[83],"inference.":[86],"also":[88],"streaming":[91,137,143],"algorithm,":[93],"SDA,":[94],"that":[95,127,146],"integrates":[96],"information":[98],"captured":[99],"by":[100],"D2M3":[101],"with":[102],"our":[103],"proposed":[104],"modified":[105],"version":[106],"PM-2":[109],"(Proportionality-based":[110],"Method":[112],"--":[113],"second":[114],"version)":[115],"algorithm.":[117],"conduct":[119],"experiments":[120],"on":[121],"Twitter":[123],"dataset":[124],"find":[126],"SDA":[128],"statistically":[129],"significantly":[130],"outperforms":[131],"state-of-the-art":[132],"non-streaming":[133],"retrieval":[134,138],"methods,":[135,139],"plain":[136],"methods":[145],"use":[147],"other":[148],"models.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":8}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
