{"id":"https://openalex.org/W4224313061","doi":"https://doi.org/10.1145/3485447.3511959","title":"Efficient and Effective Similarity Search over Bipartite Graphs","display_name":"Efficient and Effective Similarity Search over Bipartite Graphs","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4224313061","doi":"https://doi.org/10.1145/3485447.3511959"},"language":"en","primary_location":{"id":"doi:10.1145/3485447.3511959","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3485447.3511959","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3485447.3511959","source":{"id":"https://openalex.org/S4363608783","display_name":"ACM Web Conference (WWW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3485447.3511959","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040420455","display_name":"Renchi Yang","orcid":"https://orcid.org/0000-0002-7284-3096","observed_orcids":["https://orcid.org/0000-0002-7284-3096"]},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Renchi Yang","raw_affiliation_strings":["National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5040420455"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":1.3056,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.87796082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"308","last_page":"318"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9082000255584717,"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"}},"topics":[{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9082000255584717,"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"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.049400001764297485,"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":0.01140000019222498,"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/similarity-search","display_name":"similarity search","score":0.921999990940094},{"id":"https://openalex.org/keywords/bipartite-graphs","display_name":"bipartite graphs","score":1.0},{"id":"https://openalex.org/keywords/node-similarity-measures","display_name":"node similarity measures","score":0.7269999980926514},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.628000020980835},{"id":"https://openalex.org/keywords/large-graphs","display_name":"large-scale graphs","score":0.7170000076293945},{"id":"https://openalex.org/keywords/recommender-systems","display_name":"recommender systems","score":0.8109999895095825},{"id":"https://openalex.org/keywords/online-advertising","display_name":"online advertising","score":0.9380000233650208}],"concepts":[{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.9024063348770142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.681771457195282},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.6717130541801453},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.596993088722229},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5686761736869812},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5552213788032532},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5316235423088074},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5129923224449158},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5051692128181458},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.44937023520469666},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37845978140830994},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3597952723503113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2778549790382385},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2448827028274536},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3485447.3511959","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3485447.3511959","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3485447.3511959","source":{"id":"https://openalex.org/S4363608783","display_name":"ACM Web Conference (WWW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2312.06724","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.06724","pdf_url":"https://arxiv.org/pdf/2312.06724","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2312.06724","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2312.06724","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1145/3485447.3511959","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3485447.3511959","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3485447.3511959","source":{"id":"https://openalex.org/S4363608783","display_name":"ACM Web Conference (WWW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4224313061.pdf","grobid_xml":"https://content.openalex.org/works/W4224313061.grobid-xml"},"referenced_works_count":84,"referenced_works":["https://openalex.org/W141197097","https://openalex.org/W1030133576","https://openalex.org/W1598534305","https://openalex.org/W1682003616","https://openalex.org/W1854214752","https://openalex.org/W1918700400","https://openalex.org/W1971040550","https://openalex.org/W1982858363","https://openalex.org/W1985554184","https://openalex.org/W1987946959","https://openalex.org/W1990280147","https://openalex.org/W1991327379","https://openalex.org/W1994389483","https://openalex.org/W1996390256","https://openalex.org/W2019701044","https://openalex.org/W2024859348","https://openalex.org/W2026417691","https://openalex.org/W2026939502","https://openalex.org/W2027731328","https://openalex.org/W2033252376","https://openalex.org/W2039191721","https://openalex.org/W2042281163","https://openalex.org/W2046983134","https://openalex.org/W2051381393","https://openalex.org/W2063049279","https://openalex.org/W2075084832","https://openalex.org/W2077943220","https://openalex.org/W2081659778","https://openalex.org/W2086254934","https://openalex.org/W2097638479","https://openalex.org/W2107577105","https://openalex.org/W2116030947","https://openalex.org/W2117831564","https://openalex.org/W2120797124","https://openalex.org/W2125493559","https://openalex.org/W2126124689","https://openalex.org/W2128119682","https://openalex.org/W2133299088","https://openalex.org/W2138621811","https://openalex.org/W2153190022","https://openalex.org/W2154454189","https://openalex.org/W2161118554","https://openalex.org/W2171774716","https://openalex.org/W2219888463","https://openalex.org/W2231488453","https://openalex.org/W2274137191","https://openalex.org/W2311742723","https://openalex.org/W2327620174","https://openalex.org/W2513566807","https://openalex.org/W2568082647","https://openalex.org/W2576295605","https://openalex.org/W2612259229","https://openalex.org/W2613777234","https://openalex.org/W2743489687","https://openalex.org/W2766871436","https://openalex.org/W2776174348","https://openalex.org/W2796491734","https://openalex.org/W2798750142","https://openalex.org/W2799012401","https://openalex.org/W2949487991","https://openalex.org/W2950110558","https://openalex.org/W2963655167","https://openalex.org/W2979446478","https://openalex.org/W2981426507","https://openalex.org/W2982171596","https://openalex.org/W2988259599","https://openalex.org/W3012863601","https://openalex.org/W3013763460","https://openalex.org/W3030647867","https://openalex.org/W3032600190","https://openalex.org/W3036981181","https://openalex.org/W3098649723","https://openalex.org/W3099341897","https://openalex.org/W3102499482","https://openalex.org/W3105978366","https://openalex.org/W3166042273","https://openalex.org/W3175248537","https://openalex.org/W4206519572","https://openalex.org/W4233775226","https://openalex.org/W4240052223","https://openalex.org/W4247585808","https://openalex.org/W4253974119","https://openalex.org/W4298292701","https://openalex.org/W6727233892"],"related_works":["https://openalex.org/W2154222238","https://openalex.org/W2106626222","https://openalex.org/W2980866815","https://openalex.org/W1562405179","https://openalex.org/W2371352078","https://openalex.org/W2125493559","https://openalex.org/W1544909909","https://openalex.org/W2002053721","https://openalex.org/W2001641889","https://openalex.org/W2310552679"],"abstract_inverted_index":{"Similarity":[0],"search":[1],"over":[2],"a":[3],"bipartite":[4,43],"graph":[5,11],"aims":[6],"to":[7,17,48,56,67,72],"retrieve":[8],"from":[9],"the":[10,12,39],"nodes":[13,53],"that":[14],"are":[15],"similar":[16],"each":[18],"other,":[19],"which":[20],"finds":[21],"applications":[22],"in":[23],"various":[24],"fields":[25],"such":[26],"as":[27],"online":[28],"advertising,":[29],"recommender":[30],"systems":[31],"etc.":[32],"Existing":[33],"similarity":[34,79],"measures":[35],"either":[36],"(i)":[37],"overlook":[38],"unique":[40],"properties":[41],"of":[42],"graphs,":[44],"or":[45],"(ii)":[46],"fail":[47],"capture":[49],"high-order":[50],"information":[51],"between":[52],"accurately,":[54],"leading":[55],"suboptimal":[57],"result":[58],"quality.":[59],"Recently,":[60],"Hidden":[61],"Personalized":[62],"PageRank":[63],"(HPP)":[64],"is":[65],"applied":[66],"this":[68],"problem":[69],"and":[70],"found":[71],"be":[73],"more":[74],"effective":[75],"compared":[76],"with":[77],"prior":[78],"measures.":[80],"However,":[81],"existing":[82],"solutions":[83],"for":[84],"HPP":[85],"computation":[86],"incur":[87],"significant":[88],"computational":[89],"costs,":[90],"rendering":[91],"it":[92],"inefficient":[93],"especially":[94],"on":[95],"large":[96],"graphs.":[97]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2025-10-10T00:00:00"}
