{"id":"https://openalex.org/W2019168472","doi":"https://doi.org/10.1145/1321440.1321547","title":"Effective top-k computation in retrieving structured documents with term-proximity support","display_name":"Effective top-k computation in retrieving structured documents with term-proximity support","publication_year":2007,"publication_date":"2007-11-06","ids":{"openalex":"https://openalex.org/W2019168472","doi":"https://doi.org/10.1145/1321440.1321547","mag":"2019168472"},"language":"en","primary_location":{"id":"doi:10.1145/1321440.1321547","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1321440.1321547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixteenth ACM 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/A5113750084","display_name":"Mingjie Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingjie Zhu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China",", University of Science and Technology of China, Hefei, China#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":", University of Science and Technology of China, Hefei, China#TAB#","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087920747","display_name":"Shuming Shi","orcid":"https://orcid.org/0000-0001-7018-0682"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuming Shi","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061131131","display_name":"Mingjing Li","orcid":"https://orcid.org/0000-0002-5290-8104"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjing Li","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025631695","display_name":"Ji-Rong Wen","orcid":"https://orcid.org/0000-0002-9777-9676"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji-Rong Wen","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113750084"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":2.2157,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.8799064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"771","last_page":"780"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.996399998664856,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.8603165149688721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7834142446517944},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7603996396064758},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7305303812026978},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6691235303878784},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.6116346120834351},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5613857507705688},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5376983284950256},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.41706767678260803},{"id":"https://openalex.org/keywords/inverted-index","display_name":"Inverted index","score":0.41020795702934265},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22278434038162231},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.20569434762001038},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0902610719203949}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8603165149688721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7834142446517944},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7603996396064758},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7305303812026978},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6691235303878784},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.6116346120834351},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5613857507705688},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5376983284950256},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.41706767678260803},{"id":"https://openalex.org/C130590232","wikidata":"https://www.wikidata.org/wiki/Q1671754","display_name":"Inverted index","level":3,"score":0.41020795702934265},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22278434038162231},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.20569434762001038},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0902610719203949},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1321440.1321547","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1321440.1321547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixteenth ACM conference on Conference on information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W182741375","https://openalex.org/W1482214997","https://openalex.org/W1535279741","https://openalex.org/W1760082936","https://openalex.org/W1973520416","https://openalex.org/W1985986751","https://openalex.org/W2006997130","https://openalex.org/W2009346361","https://openalex.org/W2018177083","https://openalex.org/W2065472179","https://openalex.org/W2065721358","https://openalex.org/W2066636486","https://openalex.org/W2066667100","https://openalex.org/W2105909275","https://openalex.org/W2116504754","https://openalex.org/W2123127954","https://openalex.org/W2125203709","https://openalex.org/W2134206624","https://openalex.org/W2135050452","https://openalex.org/W2135290016","https://openalex.org/W2135432866","https://openalex.org/W2138662031","https://openalex.org/W2139611552","https://openalex.org/W2148353345","https://openalex.org/W2149328866"],"related_works":["https://openalex.org/W2315491162","https://openalex.org/W2562198007","https://openalex.org/W2368840343","https://openalex.org/W2370100764","https://openalex.org/W4297816538","https://openalex.org/W2187479119","https://openalex.org/W2073542340","https://openalex.org/W2031468273","https://openalex.org/W3127142483","https://openalex.org/W4307011114"],"abstract_inverted_index":{"Modern":[0],"web":[1],"search":[2],"engines":[3],"are":[4,30],"expected":[5],"to":[6,32,67,112],"return":[7],"top-k":[8,25,82,106],"results":[9],"efficiently":[10],"given":[11],"a":[12,51],"query.":[13],"Although":[14],"many":[15],"dynamic":[16],"index":[17,103,121,126,144],"pruning":[18,127],"strategies":[19,107],"have":[20],"been":[21],"proposed":[22],"for":[23,70],"efficient":[24,71],"computation,":[26],"most":[27,101],"of":[28,55,61,79,143],"them":[29],"prone":[31],"ignore":[33],"some":[34,80],"especially":[35],"important":[36],"factors":[37],"in":[38,50],"ranking":[39,62,87,99],"functions,":[40,100],"e.g.":[41],"term":[42,56,94],"proximity":[43,57,95],"(the":[44],"distance":[45],"relationship":[46],"between":[47],"query":[48,72],"terms":[49],"document).":[52],"The":[53],"inclusion":[54],"breaks":[58],"the":[59,77,137,141,155],"monotonicity":[60],"functions":[63],"and":[64,105,115,123,130,146],"therefore":[65],"leads":[66],"additional":[68],"challenges":[69],"processing.":[73],"This":[74],"paper":[75],"studies":[76],"performance":[78],"existing":[81,102],"computation":[83],"approaches":[84],"using":[85],"term-proximity-enabled":[86],"functions.":[88],"Our":[89],"investigation":[90],"demonstrates":[91],"that,":[92],"when":[93],"is":[96],"incorporated":[97],"into":[98],"structures":[104,122],"become":[108],"quite":[109],"inefficient.":[110],"According":[111],"our":[113],"analysis":[114],"experimental":[116],"results,":[117],"we":[118],"propose":[119],"two":[120,156],"their":[124],"corresponding":[125],"strategies:":[128],"Structured":[129],"Hybrid,":[131],"which":[132],"performs":[133],"much":[134,153],"better":[135],"on":[136],"new":[138],"settings.":[139],"Moreover,":[140],"efficiency":[142],"building":[145],"maintenance":[147],"would":[148],"not":[149],"be":[150],"affected":[151],"too":[152],"with":[154],"approaches.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
