{"id":"https://openalex.org/W2057958327","doi":"https://doi.org/10.1145/2339530.2339538","title":"Efficient personalized pagerank with accuracy assurance","display_name":"Efficient personalized pagerank with accuracy assurance","publication_year":2012,"publication_date":"2012-08-12","ids":{"openalex":"https://openalex.org/W2057958327","doi":"https://doi.org/10.1145/2339530.2339538","mag":"2057958327"},"language":"en","primary_location":{"id":"doi:10.1145/2339530.2339538","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2339530.2339538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101917967","display_name":"Yasuhiro Fujiwara","orcid":"https://orcid.org/0000-0001-9578-1118"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yasuhiro Fujiwara","raw_affiliation_strings":["NTT Software Innovation Center, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Software Innovation Center, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081131668","display_name":"Makoto Nakatsuji","orcid":"https://orcid.org/0000-0003-2181-0056"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Makoto Nakatsuji","raw_affiliation_strings":["NTT Service Evolution Laboratories, Kanagawa, Japan","NTT Service Evolution Laboratories Kanagawa, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Service Evolution Laboratories, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Service Evolution Laboratories Kanagawa, Japan#TAB#","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069198037","display_name":"Takeshi Yamamuro","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takeshi Yamamuro","raw_affiliation_strings":["NTT Software Innovation Center, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Software Innovation Center, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041427242","display_name":"Hiroaki Shiokawa","orcid":"https://orcid.org/0000-0002-8530-2651"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hiroaki Shiokawa","raw_affiliation_strings":["NTT Software Innovation Center, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Software Innovation Center, Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030272842","display_name":"Makoto Onizuka","orcid":"https://orcid.org/0000-0001-5559-8300"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Makoto Onizuka","raw_affiliation_strings":["NTT Software Innovation Center, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Software Innovation Center, Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.4635,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.96755994,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9993000030517578,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9987000226974487,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.8388696312904358},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7326574325561523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6924726366996765},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5401932001113892},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5156732797622681},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5080912113189697},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4454364776611328},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4339449405670166},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.41432619094848633},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41193723678588867},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4106219708919525},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3471810519695282}],"concepts":[{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.8388696312904358},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7326574325561523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6924726366996765},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5401932001113892},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5156732797622681},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5080912113189697},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4454364776611328},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4339449405670166},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.41432619094848633},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41193723678588867},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4106219708919525},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3471810519695282},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2339530.2339538","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2339530.2339538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining","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":46,"referenced_works":["https://openalex.org/W4296483","https://openalex.org/W46938732","https://openalex.org/W120264976","https://openalex.org/W1507039213","https://openalex.org/W1529421386","https://openalex.org/W1539585011","https://openalex.org/W1738124305","https://openalex.org/W1854214752","https://openalex.org/W1880262756","https://openalex.org/W1978558026","https://openalex.org/W1997922049","https://openalex.org/W2004951603","https://openalex.org/W2016743875","https://openalex.org/W2017109066","https://openalex.org/W2027566319","https://openalex.org/W2063943022","https://openalex.org/W2069153192","https://openalex.org/W2077943220","https://openalex.org/W2085937320","https://openalex.org/W2086254934","https://openalex.org/W2097636810","https://openalex.org/W2099352187","https://openalex.org/W2101950184","https://openalex.org/W2112056172","https://openalex.org/W2112670995","https://openalex.org/W2117831564","https://openalex.org/W2120797124","https://openalex.org/W2126124689","https://openalex.org/W2132876818","https://openalex.org/W2133299088","https://openalex.org/W2139146018","https://openalex.org/W2143917438","https://openalex.org/W2153007951","https://openalex.org/W2154455818","https://openalex.org/W2161984370","https://openalex.org/W2166036954","https://openalex.org/W2402569267","https://openalex.org/W2420733993","https://openalex.org/W2950696249","https://openalex.org/W4232413872","https://openalex.org/W4232980324","https://openalex.org/W4246219036","https://openalex.org/W6663290689","https://openalex.org/W6682042974","https://openalex.org/W6682494755","https://openalex.org/W7029321148"],"related_works":["https://openalex.org/W2154222238","https://openalex.org/W2106626222","https://openalex.org/W2980866815","https://openalex.org/W1562405179","https://openalex.org/W2125493559","https://openalex.org/W1544909909","https://openalex.org/W2002053721","https://openalex.org/W2001641889","https://openalex.org/W2310552679","https://openalex.org/W4376609224"],"abstract_inverted_index":{"Personalize":[0],"PageRank":[1],"(PPR)":[2],"is":[3,17,67,86,124],"an":[4],"effective":[5],"relevance":[6,23,73,91,111,116],"(proximity)":[7],"measure":[8],"in":[9,50,93],"graph":[10,52],"mining.":[11],"The":[12,61,81],"goal":[13],"of":[14,33,47,74,83,129],"this":[15,64],"paper":[16],"to":[18,87,102,126],"efficiently":[19],"compute":[20,71,88,103],"single":[21,89],"node":[22,90],"and":[24,101],"top-k/highly":[25,104],"relevant":[26,105],"nodes":[27,49,106],"without":[28],"iteratively":[29,43],"computing":[30],"the":[31,45,72,133],"relevances":[32,46],"all":[34,48],"nodes.":[35,80],"Based":[36],"on":[37,97,114],"a":[38,51,56,78],"\"random":[39],"surfer":[40],"model\",":[41],"PPR":[42],"computes":[44],"until":[53],"convergence":[54],"for":[55],"given":[57],"user":[58],"preference":[59],"distribution.":[60],"problem":[62],"with":[63],"iterative":[65],"approach":[66,123],"that":[68,121],"it":[69],"cannot":[70],"just":[75],"one":[76],"or":[77],"few":[79],"heart":[82],"our":[84,122],"solution":[85],"accurately":[92],"non-iterative":[94],"manner":[95],"based":[96,113],"sparse":[98],"matrix":[99],"representation,":[100],"exactly":[107],"by":[108],"pruning":[109],"unnecessary":[110],"computations":[112],"upper/lower":[115],"estimations.":[117],"Our":[118],"experiments":[119],"show":[120],"up":[125],"seven":[127],"orders":[128],"magnitude":[130],"faster":[131],"than":[132],"existing":[134],"alternatives.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":9}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}