{"id":"https://openalex.org/W2041666597","doi":"https://doi.org/10.1145/2484028.2484096","title":"Compact query term selection using topically related text","display_name":"Compact query term selection using topically related text","publication_year":2013,"publication_date":"2013-07-28","ids":{"openalex":"https://openalex.org/W2041666597","doi":"https://doi.org/10.1145/2484028.2484096","mag":"2041666597"},"language":"en","primary_location":{"id":"doi:10.1145/2484028.2484096","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484028.2484096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th international ACM SIGIR conference on Research and 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/A5035869241","display_name":"K. Tamsin Maxwell","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"K. Tamsin Maxwell","raw_affiliation_strings":["University of Edinburgh, Edinburgh, United Kingdom","University of Edinburgh, edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"University of Edinburgh, edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]},{"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, Amherst, Massachusetts, USA","[University of Massachusetts - Amherst, Amherst, Massachusetts, USA]"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, Amherst, Massachusetts, USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"[University of Massachusetts - Amherst, Amherst, Massachusetts, USA]","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035869241"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":17.7968,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.98952717,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"583","last_page":"592"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9987999796867371,"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":0.9987999796867371,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9962000250816345,"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":0.9933000206947327,"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":0.8272490501403809},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7639948129653931},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.7333050966262817},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6789571046829224},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6471924185752869},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5940656065940857},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5410385131835938},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.5126230120658875},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5047370195388794},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4990122318267822},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.49282148480415344},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.4167041778564453},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.3229151964187622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2514277696609497},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24840080738067627}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8272490501403809},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7639948129653931},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.7333050966262817},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6789571046829224},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6471924185752869},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5940656065940857},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5410385131835938},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.5126230120658875},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5047370195388794},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4990122318267822},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.49282148480415344},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.4167041778564453},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.3229151964187622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2514277696609497},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24840080738067627},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2484028.2484096","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2484028.2484096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W32253530","https://openalex.org/W1525595230","https://openalex.org/W1532325895","https://openalex.org/W1557757161","https://openalex.org/W1853800330","https://openalex.org/W1854214752","https://openalex.org/W1863141190","https://openalex.org/W1964348731","https://openalex.org/W1973430024","https://openalex.org/W1982652679","https://openalex.org/W1984681168","https://openalex.org/W1985471546","https://openalex.org/W2000246295","https://openalex.org/W2007590531","https://openalex.org/W2025356973","https://openalex.org/W2028709054","https://openalex.org/W2050715692","https://openalex.org/W2060976724","https://openalex.org/W2068905009","https://openalex.org/W2070740689","https://openalex.org/W2087198174","https://openalex.org/W2100176907","https://openalex.org/W2102046030","https://openalex.org/W2104807347","https://openalex.org/W2105544934","https://openalex.org/W2114811871","https://openalex.org/W2119119231","https://openalex.org/W2138051266","https://openalex.org/W2144211451","https://openalex.org/W2153927559","https://openalex.org/W2160517426","https://openalex.org/W2164547069","https://openalex.org/W2339332119","https://openalex.org/W4243333943","https://openalex.org/W6639055396","https://openalex.org/W6676084511","https://openalex.org/W6684151790","https://openalex.org/W7015831105"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2572349046","https://openalex.org/W2026738364","https://openalex.org/W2017989738","https://openalex.org/W2146885082","https://openalex.org/W2186703450","https://openalex.org/W3125756434","https://openalex.org/W2392799717","https://openalex.org/W8514837","https://openalex.org/W2017328855"],"abstract_inverted_index":{"Many":[0],"recent":[1],"and":[2,19,28,62,104,156,171],"highly":[3,182],"effective":[4],"retrieval":[5,85,185],"models":[6,91,111],"for":[7,56,144,168,176],"long":[8,169],"queries":[9,72,164,170,179],"use":[10,93,113],"query":[11,36,57,68,114,123],"reformulation":[12],"methods":[13,23],"that":[14,49,74,92,112,160],"jointly":[15],"optimize":[16],"term":[17,20,45,89,145],"weights":[18],"selection.":[21],"These":[22],"learn":[24],"using":[25,130,154],"word":[26,131],"context":[27,30,124],"global":[29],"but":[31],"typically":[32,102],"fail":[33],"to":[34,59,76,95,109,117,181],"capture":[35],"context.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"present":[42],"a":[43,67],"novel":[44],"ranking":[46,146],"algorithm,":[47],"PhRank,":[48],"extends":[50],"work":[51],"on":[52],"Markov":[53],"chain":[54],"frameworks":[55],"expansion":[58],"select":[60],"compact":[61,103],"focused":[63],"terms":[64,78,99],"from":[65],"within":[66],"itself.":[69],"This":[70],"focuses":[71],"so":[73],"one":[75],"five":[77],"in":[79,133,147],"an":[80,126],"unweighted":[81],"model":[82],"achieve":[83],"better":[84],"effectiveness":[86],"than":[87],"weighted":[88],"selection":[90],"up":[94,116],"30":[96],"terms.":[97],"PhRank":[98,121],"are":[100],"also":[101],"contain":[105],"1-2":[106],"words":[107,119],"compared":[108,180],"competing":[110],"subsets":[115],"7":[118],"long.":[120],"captures":[122],"with":[125,149],"affinity":[127],"graph":[128,141],"constructed":[129],"co-occurrence":[132],"pseudo-relevant":[134],"documents.":[135],"A":[136],"random":[137],"walk":[138],"of":[139,162],"the":[140],"is":[142,165],"used":[143],"combination":[148],"discrimination":[150],"weights.":[151],"Empirical":[152],"evaluation":[153],"newswire":[155],"web":[157],"collections":[158],"demonstrates":[159],"performance":[161],"reformulated":[163],"significantly":[166],"improved":[167],"at":[172],"least":[173],"as":[174],"good":[175],"short,":[177],"keyword":[178],"competitive":[183],"information":[184],"(IR)":[186],"models.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":13}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}