{"id":"https://openalex.org/W2043150166","doi":"https://doi.org/10.1145/2124295.2124346","title":"Optimized top-k processing with global page scores on block-max indexes","display_name":"Optimized top-k processing with global page scores on block-max indexes","publication_year":2012,"publication_date":"2012-02-08","ids":{"openalex":"https://openalex.org/W2043150166","doi":"https://doi.org/10.1145/2124295.2124346","mag":"2043150166"},"language":"en","primary_location":{"id":"doi:10.1145/2124295.2124346","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2124295.2124346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fifth ACM international conference on Web search and data mining","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/A5026825332","display_name":"Dongdong Shan","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongdong Shan","raw_affiliation_strings":["Peking University, Beijing, China","Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078621623","display_name":"Shuai Ding","orcid":"https://orcid.org/0009-0001-2744-3018"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]},{"id":"https://openalex.org/I90965887","display_name":"SUNY Polytechnic Institute","ror":"https://ror.org/000fxgx19","country_code":"US","type":"education","lineage":["https://openalex.org/I90965887"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuai Ding","raw_affiliation_strings":["Polytechnic Institute of NYU , New York, USA","Polytechnic Institute of NYU, New York, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Polytechnic Institute of NYU , New York, USA","institution_ids":["https://openalex.org/I90965887"]},{"raw_affiliation_string":"Polytechnic Institute of NYU, New York, USA#TAB#","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081879366","display_name":"Jing He","orcid":"https://orcid.org/0000-0001-6488-1052"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing He","raw_affiliation_strings":["Peking University, Beijing, China","Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111726041","display_name":"Hongfei Yan","orcid":"https://orcid.org/0000-0001-5914-8585"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfei Yan","raw_affiliation_strings":["Peking University, Beijing, China","Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027938867","display_name":"Xiaoming Li","orcid":"https://orcid.org/0000-0002-9956-1793"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Li","raw_affiliation_strings":["Peking University, Beijing, China","Peking University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026825332"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":3.2343,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.94086022,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"423","last_page":"432"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9965999722480774,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9965000152587891,"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":0.7931171655654907},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7220761179924011},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6963976621627808},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6347410082817078},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6019043922424316},{"id":"https://openalex.org/keywords/result-set","display_name":"Result set","score":0.5529029965400696},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.545311689376831},{"id":"https://openalex.org/keywords/block-size","display_name":"Block size","score":0.5391585826873779},{"id":"https://openalex.org/keywords/inverted-index","display_name":"Inverted index","score":0.5015950202941895},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4823707640171051},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4622490406036377},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43487703800201416},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.434418648481369},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.41559842228889465},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38397014141082764},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.18521177768707275},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.16006654500961304},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12903842329978943},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.07676896452903748}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7931171655654907},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7220761179924011},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6963976621627808},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6347410082817078},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6019043922424316},{"id":"https://openalex.org/C4969071","wikidata":"https://www.wikidata.org/wiki/Q7316353","display_name":"Result set","level":3,"score":0.5529029965400696},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.545311689376831},{"id":"https://openalex.org/C41431624","wikidata":"https://www.wikidata.org/wiki/Q1053357","display_name":"Block size","level":3,"score":0.5391585826873779},{"id":"https://openalex.org/C130590232","wikidata":"https://www.wikidata.org/wiki/Q1671754","display_name":"Inverted index","level":3,"score":0.5015950202941895},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4823707640171051},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4622490406036377},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43487703800201416},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.434418648481369},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.41559842228889465},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38397014141082764},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.18521177768707275},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.16006654500961304},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12903842329978943},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.07676896452903748},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2124295.2124346","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2124295.2124346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fifth ACM international conference on Web search and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W95284390","https://openalex.org/W182741375","https://openalex.org/W1524501441","https://openalex.org/W1681204582","https://openalex.org/W1885526678","https://openalex.org/W1973520416","https://openalex.org/W1980344365","https://openalex.org/W1991360400","https://openalex.org/W2000431947","https://openalex.org/W2006997130","https://openalex.org/W2009688537","https://openalex.org/W2019168472","https://openalex.org/W2052867877","https://openalex.org/W2065472179","https://openalex.org/W2066636486","https://openalex.org/W2070507812","https://openalex.org/W2073188425","https://openalex.org/W2076471773","https://openalex.org/W2093270409","https://openalex.org/W2108079923","https://openalex.org/W2108278040","https://openalex.org/W2116504754","https://openalex.org/W2123006679","https://openalex.org/W2135050452","https://openalex.org/W2135290016","https://openalex.org/W2138662031","https://openalex.org/W2138790992","https://openalex.org/W2150414292","https://openalex.org/W2151361488","https://openalex.org/W2152437528","https://openalex.org/W2154610494","https://openalex.org/W2160885631","https://openalex.org/W2169855462","https://openalex.org/W2550271127","https://openalex.org/W2666600683"],"related_works":["https://openalex.org/W1630321625","https://openalex.org/W2072563387","https://openalex.org/W1584051879","https://openalex.org/W2049810036","https://openalex.org/W1834987204","https://openalex.org/W1975915866","https://openalex.org/W2116504754","https://openalex.org/W1989314635","https://openalex.org/W1601713026","https://openalex.org/W2137250554"],"abstract_inverted_index":{"Large":[0],"web":[1],"search":[2,53,244],"engines":[3],"are":[4,67,89,135,254,275],"facing":[5],"formidable":[6],"performance":[7,150,273],"challenges":[8],"because":[9],"they":[10],"have":[11],"to":[12,69,102,195,230],"process":[13],"thousands":[14],"of":[15,21,23,46,64,151,205],"queries":[16],"per":[17],"second":[18],"on":[19,209,246,265],"tens":[20],"billions":[22],"documents,":[24],"within":[25],"interactive":[26],"response":[27],"time.":[28],"Among":[29],"many":[30],"others,":[31],"Top-k":[32,121,177],"query":[33,58,105,108,178],"processing":[34,59,109,179],"(also":[35],"called":[36],"early":[37],"termination":[38],"or":[39,259],"dynamic":[40],"pruning)":[41],"is":[42,78,100,111,123,128,159,165,188],"an":[43],"important":[44,137],"class":[45],"optimization":[47],"techniques":[48,175,229],"that":[49,66,131,148,271],"can":[50],"improve":[51,103],"the":[52,62,72,83,86,94,104,116,120,124,149,152,156,162,168,181,196,210,222,243,251],"efficiency":[54,245],"and":[55,93,212,268],"achieve":[56],"faster":[57],"by":[60,256,260],"avoiding":[61],"scoring":[63],"documents":[65],"unlikely":[68],"be":[70],"in":[71,167,180,193],"top":[73],"results.":[74],"One":[75],"recent":[76],"technique":[77],"using":[79,217],"Block-Max":[80,84,114,157,215],"index.":[81],"In":[82,143,199],"index,":[85,115],"posting":[87],"lists":[88],"organized":[90],"as":[91,191],"blocks":[92],"maximum":[95],"score":[96,164,187,234],"for":[97,119,138,176,237],"each":[98,238],"block":[99],"stored":[101],"efficiency.":[106],"Although":[107],"speedup":[110],"achieved":[112],"with":[113,155,214],"ranking":[117,141,169],"function":[118],"results":[122],"term-based":[125,197],"approach.":[126,198],"It":[127],"well":[129],"known":[130],"documents'":[132],"static":[133,163,186,261],"scores":[134],"also":[136,241],"a":[139,184,203,232],"good":[140],"function.":[142,170],"this":[144],"paper,":[145],"we":[146,172,201,226],"show":[147,270],"state-of-the-art":[153],"algorithms":[154,207],"index":[158,216,248],"degraded":[160],"when":[161],"added":[166],"Then":[171,225],"study":[173,242],"efficient":[174],"case":[182],"where":[183,250],"page's":[185],"given,":[189],"such":[190],"PageRank,":[192],"addition":[194],"particular,":[200],"propose":[202,227],"set":[204],"new":[206,228],"based":[208],"WAND":[211],"MaxScore":[213],"local":[218],"score,":[219],"which":[220],"outperform":[221],"existing":[223],"ones.":[224],"estimate":[231],"better":[233],"upper":[235],"bound":[236],"block.":[239],"We":[240],"different":[247],"structures":[249],"document":[252,262],"identifiers":[253],"assigned":[255],"URL":[257],"sorting":[258],"scores.":[263],"Experiments":[264],"TREC":[266],"GOV2":[267],"ClueWeb09B":[269],"considerable":[272],"gains":[274],"achieved.":[276]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}
