{"id":"https://openalex.org/W2798694866","doi":"https://doi.org/10.1145/3209978.3209979","title":"From Greedy Selection to Exploratory Decision-Making","display_name":"From Greedy Selection to Exploratory Decision-Making","publication_year":2018,"publication_date":"2018-06-27","ids":{"openalex":"https://openalex.org/W2798694866","doi":"https://doi.org/10.1145/3209978.3209979","mag":"2798694866"},"language":"en","primary_location":{"id":"doi:10.1145/3209978.3209979","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3209979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval","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/A5071547136","display_name":"Yue Feng","orcid":"https://orcid.org/0000-0002-5650-0659"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Feng","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020766468","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0001-7170-111X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101616866","display_name":"Yanyan Lan","orcid":"https://orcid.org/0000-0002-7811-3262"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Lan","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088621320","display_name":"Jiafeng Guo","orcid":"https://orcid.org/0000-0002-9509-8674"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiafeng Guo","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101427959","display_name":"Wei Zeng","orcid":"https://orcid.org/0009-0006-4437-9042"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zeng","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029998682","display_name":"Xueqi Cheng","orcid":"https://orcid.org/0000-0002-5201-8195"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqi Cheng","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5071547136"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":9.4172,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.97948419,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"125","last_page":"134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9991999864578247,"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":0.9991999864578247,"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/T11106","display_name":"Data Management and Algorithms","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7510056495666504},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6712167859077454},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6305587291717529},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5247100591659546},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5172230005264282},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49100449681282043},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4415229856967926},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43876054883003235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4296168088912964},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.32964372634887695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13603562116622925},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09999904036521912},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09094592928886414}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7510056495666504},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6712167859077454},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6305587291717529},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5247100591659546},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5172230005264282},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49100449681282043},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4415229856967926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43876054883003235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4296168088912964},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.32964372634887695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13603562116622925},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09999904036521912},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09094592928886414},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3209978.3209979","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3209979","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G619062981","display_name":null,"funder_award_id":"20144310, 2016102","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1900560890","https://openalex.org/W1966462845","https://openalex.org/W1984770088","https://openalex.org/W1990473707","https://openalex.org/W1993320088","https://openalex.org/W2005084129","https://openalex.org/W2009979684","https://openalex.org/W2023188792","https://openalex.org/W2023599408","https://openalex.org/W2047804176","https://openalex.org/W2047952076","https://openalex.org/W2055007736","https://openalex.org/W2079313653","https://openalex.org/W2083305840","https://openalex.org/W2096658177","https://openalex.org/W2100419635","https://openalex.org/W2103404183","https://openalex.org/W2104373244","https://openalex.org/W2104895009","https://openalex.org/W2113640060","https://openalex.org/W2131744502","https://openalex.org/W2132314908","https://openalex.org/W2138108551","https://openalex.org/W2146502635","https://openalex.org/W2150662514","https://openalex.org/W2152228468","https://openalex.org/W2157391629","https://openalex.org/W2163200373","https://openalex.org/W2257979135","https://openalex.org/W2336343120","https://openalex.org/W2337233909","https://openalex.org/W2512370135","https://openalex.org/W2561675875","https://openalex.org/W2572616666","https://openalex.org/W2584113062","https://openalex.org/W2739826497","https://openalex.org/W2739916191","https://openalex.org/W2740384884","https://openalex.org/W2766447205","https://openalex.org/W2792179143","https://openalex.org/W3138773240"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W2088772087","https://openalex.org/W4224009465","https://openalex.org/W2040498587","https://openalex.org/W1494981348","https://openalex.org/W4286629047","https://openalex.org/W137670899","https://openalex.org/W2127933062","https://openalex.org/W2104026494"],"abstract_inverted_index":{"The":[0,178],"goal":[1],"of":[2,11,31,39,60,72,118,145,230],"search":[3,103,201],"result":[4],"diversification":[5],"is":[6,28,41,75,78,121,156],"to":[7,17,93,111,131,158],"select":[8],"a":[9,29,99,133,152,199],"subset":[10,32,38],"documents":[12,40,52],"from":[13],"the":[14,47,51,61,64,69,81,96,116,146,160,165,169,174,191,195,209,218,228,231],"candidate":[15],"set":[16],"satisfy":[18],"as":[19,23,49,112,123],"many":[20],"different":[21],"subtopics":[22],"possible.":[24],"In":[25,88,114],"general,":[26],"it":[27],"problem":[30,48,97],"selection":[33,167],"and":[34,150,168,182],"selecting":[35,132],"an":[36,124,140],"optimal":[37],"NP-hard.":[42],"Existing":[43],"methods":[44],"usually":[45],"formalize":[46],"ranking":[50,62,120,137,176],"with":[53,98,187],"greedy":[54,82,223],"sequential":[55,224],"document":[56,65,134,166,225],"selection.":[57],"At":[58],"each":[59,128],"position":[63],"that":[66,80,213],"can":[67,215],"provide":[68],"largest":[70],"amount":[71],"additional":[73],"information":[74],"selected.":[76],"It":[77],"obvious":[79],"selections":[83],"inevitably":[84],"produce":[85,159],"suboptimal":[86],"rankings.":[87],"this":[89],"paper":[90],"we":[91],"propose":[92],"partially":[94],"alleviate":[95],"Monte":[100],"Carlo":[101],"tree":[102],"(MCTS)":[104],"enhanced":[105],"Markov":[106],"decision":[107],"process":[108,126],"(MDP),":[109],"referred":[110],"M$^2$Div.":[113,236],"M$^2$Div,":[115],"construction":[117],"diverse":[119],"formalized":[122],"MDP":[125,141],"where":[127],"action":[129],"corresponds":[130],"for":[135,163,172,203],"one":[136],"position.":[138],"Given":[139],"state":[142],"which":[143],"consists":[144],"query,":[147],"selected":[148],"documents,":[149],"candidates,":[151],"recurrent":[153],"neural":[154],"network":[155],"utilized":[157],"policy":[161,181,202],"function":[162,171],"guiding":[164],"value":[170,183],"predicting":[173],"whole":[175],"quality.":[177],"produced":[179],"raw":[180],"are":[184],"then":[185],"strengthened":[186],"MCTS":[188],"through":[189],"exploring":[190],"possible":[192],"rankings":[193],"at":[194],"subsequent":[196],"positions,":[197],"achieving":[198],"better":[200],"decision-making.":[204],"Experimental":[205],"results":[206],"based":[207,221],"on":[208,222],"TREC":[210],"benchmarks":[211],"showed":[212],"M$^2$Div":[214],"significantly":[216],"outperform":[217],"state-of-the-art":[219],"baselines":[220],"selection,":[226],"indicating":[227],"effectiveness":[229],"exploratory":[232],"decision-making":[233],"mechanism":[234],"in":[235]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}