{"id":"https://openalex.org/W1998436802","doi":"https://doi.org/10.1145/1498759.1498829","title":"Effective latent space graph-based re-ranking model with global consistency","display_name":"Effective latent space graph-based re-ranking model with global consistency","publication_year":2009,"publication_date":"2009-02-09","ids":{"openalex":"https://openalex.org/W1998436802","doi":"https://doi.org/10.1145/1498759.1498829","mag":"1998436802"},"language":"en","primary_location":{"id":"doi:10.1145/1498759.1498829","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1498759.1498829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second 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/A5101786215","display_name":"Hongbo Deng","orcid":"https://orcid.org/0000-0002-9659-5111"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongbo Deng","raw_affiliation_strings":["The Chinese University of Hong Kong, Shatin, N.T., Hong Kong","The Chinese University of Hong Kong, Shatin, N. T. Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Shatin, N.T., Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"The Chinese University of Hong Kong, Shatin, N. T. Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069596903","display_name":"Michael R. Lyu","orcid":"https://orcid.org/0000-0002-3666-5798"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Michael R. Lyu","raw_affiliation_strings":["The Chinese University of Hong Kong, Shatin, N.T., Hong Kong","The Chinese University of Hong Kong, Shatin, N. T. Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Shatin, N.T., Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"The Chinese University of Hong Kong, Shatin, N. T. Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042251906","display_name":"Irwin King","orcid":"https://orcid.org/0000-0001-8106-6447"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Irwin King","raw_affiliation_strings":["The Chinese University of Hong Kong, Shatin, N.T., Hong Kong","The Chinese University of Hong Kong, Shatin, N. T. Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Shatin, N.T., Hong Kong","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"The Chinese University of Hong Kong, Shatin, N. T. Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101786215"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":9.0326,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.97809528,"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":"212","last_page":"221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991999864578247,"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":0.9991999864578247,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9979000091552734,"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":0.7570489645004272},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.6351667642593384},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.6177603602409363},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.5814231038093567},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5456470251083374},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.49175241589546204},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4174674451351166},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4136471450328827},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41128891706466675},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40753233432769775},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39890074729919434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31622183322906494}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7570489645004272},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.6351667642593384},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.6177603602409363},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.5814231038093567},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5456470251083374},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.49175241589546204},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4174674451351166},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4136471450328827},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41128891706466675},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40753233432769775},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39890074729919434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31622183322906494}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1498759.1498829","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1498759.1498829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.182.1552","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.182.1552","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://wsdm2009.org/papers/p212-deng.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.215.7021","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.215.7021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.cuhk.edu.hk/~hbdeng/Deng_RerankingModel_wsdm2009.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6700000166893005}],"awards":[{"id":"https://openalex.org/G3675383440","display_name":null,"funder_award_id":"CUHK4125/07ECUHK4150/07E","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1520511539","https://openalex.org/W1660390307","https://openalex.org/W1738091461","https://openalex.org/W1774304772","https://openalex.org/W1967573127","https://openalex.org/W1972594981","https://openalex.org/W1979584682","https://openalex.org/W2066636486","https://openalex.org/W2077122984","https://openalex.org/W2083598336","https://openalex.org/W2093390569","https://openalex.org/W2094215927","https://openalex.org/W2098034778","https://openalex.org/W2104973501","https://openalex.org/W2107743791","https://openalex.org/W2108346334","https://openalex.org/W2109042199","https://openalex.org/W2109244020","https://openalex.org/W2110896767","https://openalex.org/W2126184790","https://openalex.org/W2126226055","https://openalex.org/W2138621811","https://openalex.org/W2139823104","https://openalex.org/W2143331230","https://openalex.org/W2143561480","https://openalex.org/W2147152072","https://openalex.org/W2150461699","https://openalex.org/W2151350269","https://openalex.org/W2154334393","https://openalex.org/W2154455818","https://openalex.org/W2157110051","https://openalex.org/W2158201212","https://openalex.org/W2162746367","https://openalex.org/W2165611133","https://openalex.org/W2492794003","https://openalex.org/W2913650309","https://openalex.org/W2913668833","https://openalex.org/W2999905431","https://openalex.org/W4206765718","https://openalex.org/W4233135949","https://openalex.org/W6681964421","https://openalex.org/W6682494755"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W2138488530","https://openalex.org/W4385565564","https://openalex.org/W2370100764","https://openalex.org/W2031468273","https://openalex.org/W2387658907","https://openalex.org/W2351112195","https://openalex.org/W2898073868","https://openalex.org/W2110822809","https://openalex.org/W2352397247"],"abstract_inverted_index":{"Recently":[0],"the":[1,17,24,45,50,56,63,71,77,80,84,92,105,128,133,141,156,160,173,185],"re-ranking":[2,46,123,168],"algorithms":[3,22],"have":[4,91],"been":[5],"quite":[6],"popular":[7],"for":[8],"web":[9],"search":[10],"and":[11,26,40,146,165,179,193],"data":[12],"mining.":[13],"However,":[14],"one":[15],"of":[16,52],"issues":[18],"is":[19,79,125,191],"that":[20,184],"those":[21],"treat":[23],"content":[25,106],"link":[27,112],"information":[28,113],"individually.":[29],"Inspired":[30],"by":[31,48,70],"graph-based":[32],"machine":[33],"learning":[34],"algorithms,":[35],"we":[36,139,171],"propose":[37],"a":[38,60,99,115],"novel":[39],"general":[41],"framework":[42,142],"to":[43,90,98,132,143],"model":[44,78,163],"algorithm,":[47],"regularizing":[49],"smoothness":[51],"ranking":[53,65,94],"scores":[54,66,95],"over":[55,83],"graph,":[57],"along":[58],"with":[59,96,107,130,159,176],"regularizer":[61],"on":[62,127,150],"initial":[64,161],"(which":[67],"are":[68,88],"obtained":[69],"base":[72],"ranker).":[73],"The":[74],"intuition":[75],"behind":[76],"global":[81],"consistency":[82],"graph:":[85],"similar":[86],"entities":[87],"likely":[89],"same":[93],"respect":[97,131],"query.":[100,134],"Our":[101],"approach":[102],"simultaneously":[103],"incorporates":[104],"other":[108],"explicit":[109],"or":[110],"implicit":[111],"in":[114,187],"latent":[116],"space":[117],"graph.":[118],"Then":[119],"an":[120],"effective":[121],"unified":[122],"algorithm":[124],"performed":[126],"graph":[129],"To":[135],"illustrate":[136],"our":[137,188],"methodology,":[138],"apply":[140],"literature":[144],"retrieval":[145],"expert":[147],"finding":[148],"applications":[149],"DBLP":[151],"bibliography":[152],"data.":[153],"We":[154],"compare":[155],"proposed":[157,174,189],"method":[158,164,175,190],"language":[162],"another":[166],"PageRank-style":[167],"method.":[169],"Also,":[170],"evaluate":[172],"varying":[177],"graphs":[178],"settings.":[180],"Experimental":[181],"results":[182],"show":[183],"improvement":[186],"consistent":[192],"promising.":[194]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}