{"id":"https://openalex.org/W4206842331","doi":"https://doi.org/10.1145/2600428.2602297","title":"Dynamic information retrieval modeling","display_name":"Dynamic information retrieval modeling","publication_year":2014,"publication_date":"2014-07-03","ids":{"openalex":"https://openalex.org/W4206842331","doi":"https://doi.org/10.1145/2600428.2602297"},"language":"en","primary_location":{"id":"doi:10.1145/2600428.2602297","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2600428.2602297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th international ACM SIGIR conference on Research &amp; 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/A5002485529","display_name":"Grace Hui Yang","orcid":"https://orcid.org/0000-0001-6095-8358"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hui Yang","raw_affiliation_strings":["Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053003445","display_name":"Marc Sloan","orcid":null},"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":"Marc Sloan","raw_affiliation_strings":["University College London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100384727","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-4021-4228"},"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":"Jun Wang","raw_affiliation_strings":["University College London, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002485529"],"corresponding_institution_ids":["https://openalex.org/I184565670"],"apc_list":null,"apc_paid":null,"fwci":2.4349,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90139502,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1290","last_page":"1290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.998199999332428,"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/T12288","display_name":"Optimization and Search Problems","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8509965538978577},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6944687962532043},{"id":"https://openalex.org/keywords/partially-observable-markov-decision-process","display_name":"Partially observable Markov decision process","score":0.5006659030914307},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.4994375705718994},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.4219732880592346},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4200465679168701},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3627099394798279},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3487722873687744},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.3158171772956848},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.28079989552497864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2801397740840912},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.1432712972164154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8509965538978577},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6944687962532043},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.5006659030914307},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.4994375705718994},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.4219732880592346},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4200465679168701},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3627099394798279},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3487722873687744},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.3158171772956848},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.28079989552497864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2801397740840912},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.1432712972164154},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2600428.2602297","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2600428.2602297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th international ACM SIGIR conference on Research &amp; development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1992556596","https://openalex.org/W2076337359","https://openalex.org/W2137931117","https://openalex.org/W2168359464","https://openalex.org/W2168405694"],"related_works":["https://openalex.org/W1921936017","https://openalex.org/W1971071004","https://openalex.org/W2009716188","https://openalex.org/W1518380457","https://openalex.org/W2001985945","https://openalex.org/W1973132420","https://openalex.org/W2460037195","https://openalex.org/W2078482661","https://openalex.org/W1968222678","https://openalex.org/W2142731558"],"abstract_inverted_index":{"Dynamic":[0,61],"aspects":[1],"of":[2,49,68,89,99],"Information":[3,62],"Retrieval":[4,63],"(IR),":[5],"including":[6],"changes":[7],"found":[8],"in":[9,18,30],"data,":[10],"users":[11],"and":[12,21,42,45,57,96,102],"systems,":[13],"are":[14,28],"increasingly":[15],"being":[16],"utilized":[17],"search":[19],"engines":[20],"information":[22],"filtering":[23],"systems.":[24],"Existing":[25],"IR":[26,69,106],"techniques":[27,79],"limited":[29],"their":[31],"ability":[32],"to":[33,53,60,74,85],"optimize":[34],"over":[35],"changes,":[36],"learn":[37],"with":[38],"minimal":[39],"computational":[40],"footprint":[41],"be":[43],"responsive":[44],"adaptive.":[46],"The":[47],"objective":[48],"this":[50],"tutorial":[51],"is":[52],"provide":[54],"a":[55,97],"comprehensive":[56],"up-to-date":[58],"introduction":[59],"Modeling,":[64],"the":[65,86],"statistical":[66],"modeling":[67],"systems":[70],"that":[71],"can":[72],"adapt":[73],"change.":[75],"It":[76],"will":[77],"cover":[78],"ranging":[80],"from":[81],"classic":[82],"relevance":[83],"feedback":[84],"latest":[87],"applications":[88],"partially":[90],"observable":[91],"Markov":[92],"decision":[93],"processes":[94],"(POMDPs)":[95],"handful":[98],"useful":[100],"algorithms":[101],"tools":[103],"for":[104],"solving":[105],"problems":[107],"incorporating":[108],"dynamics.":[109]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
