{"id":"https://openalex.org/W4312455395","doi":"https://doi.org/10.1109/ijcnn55064.2022.9891935","title":"SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback","display_name":"SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312455395","doi":"https://doi.org/10.1109/ijcnn55064.2022.9891935"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9891935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9891935","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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/A5049989147","display_name":"Zheng Yuan","orcid":"https://orcid.org/0000-0001-7589-6727"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheng Yuan","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University,Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ),Shenzhen,China","Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University,Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ),Shenzhen,China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4210152380"]},{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003106644","display_name":"Dugang Liu","orcid":"https://orcid.org/0000-0003-3612-709X"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dugang Liu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University,Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ),Shenzhen,China","Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University,Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ),Shenzhen,China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4210152380"]},{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073490832","display_name":"Weike Pan","orcid":"https://orcid.org/0000-0001-6326-9531"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weike Pan","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University,Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ),Shenzhen,China","Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University,Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ),Shenzhen,China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4210152380"]},{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100633979","display_name":"Zhong Ming","orcid":"https://orcid.org/0000-0002-6933-5760"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Ming","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University,Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ),Shenzhen,China","Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University,Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ),Shenzhen,China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4210152380"]},{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049989147"],"corresponding_institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4210152380"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23172854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.987500011920929,"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":0.8077257871627808},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.71632981300354},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7129823565483093},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.663335919380188},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6545476317405701},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6484065055847168},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.5957562327384949},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5541318655014038},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.45838871598243713},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42796140909194946},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42372116446495056},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2590615749359131},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16702038049697876},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10189956426620483},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0890607237815857}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8077257871627808},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.71632981300354},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7129823565483093},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.663335919380188},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6545476317405701},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6484065055847168},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.5957562327384949},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5541318655014038},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.45838871598243713},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42796140909194946},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42372116446495056},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2590615749359131},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16702038049697876},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10189956426620483},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0890607237815857},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9891935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9891935","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5938237673","display_name":null,"funder_award_id":"62172283,61836005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":38,"referenced_works":["https://openalex.org/W1886704267","https://openalex.org/W2006822005","https://openalex.org/W2054141820","https://openalex.org/W2071111773","https://openalex.org/W2080951269","https://openalex.org/W2089042306","https://openalex.org/W2108862644","https://openalex.org/W2108920354","https://openalex.org/W2119384858","https://openalex.org/W2124187902","https://openalex.org/W2140310134","https://openalex.org/W2342394218","https://openalex.org/W2734755249","https://openalex.org/W2767669124","https://openalex.org/W2785054398","https://openalex.org/W2792608323","https://openalex.org/W2802187397","https://openalex.org/W2904474160","https://openalex.org/W2913415152","https://openalex.org/W2914259457","https://openalex.org/W2963085847","https://openalex.org/W2998673651","https://openalex.org/W2998677531","https://openalex.org/W3019882289","https://openalex.org/W3035287707","https://openalex.org/W3045200674","https://openalex.org/W3054737934","https://openalex.org/W3070660065","https://openalex.org/W3129311190","https://openalex.org/W3152880264","https://openalex.org/W3153687708","https://openalex.org/W3154345605","https://openalex.org/W3159620685","https://openalex.org/W3175529606","https://openalex.org/W6680830989","https://openalex.org/W6749577905","https://openalex.org/W6776736080","https://openalex.org/W6779400875"],"related_works":["https://openalex.org/W2767338541","https://openalex.org/W2112815677","https://openalex.org/W2606864227","https://openalex.org/W2429267751","https://openalex.org/W3089328091","https://openalex.org/W2011472225","https://openalex.org/W3000057026","https://openalex.org/W3048565508","https://openalex.org/W3163984363","https://openalex.org/W3160516639"],"abstract_inverted_index":{"Collaborative":[0],"ranking":[1],"with":[2,46,90,98,186,213],"implicit":[3],"feedback":[4,93],"such":[5],"as":[6,38,145,149,153],"users'":[7],"clicks":[8],"is":[9,35,71,116],"an":[10],"important":[11],"recommendation":[12],"problem":[13],"in":[14,67,211,234],"various":[15],"real-world":[16],"applications.":[17],"Most":[18],"existing":[19],"approaches":[20],"are":[21,78,159],"developed":[22],"based":[23,72],"on":[24,73,198],"some":[25,127,133,137],"pointwise":[26],"or":[27],"pairwise":[28,216],"preference":[29,85],"assumptions,":[30],"although":[31],"the":[32,47,61,74,88,91,96,120,141,150,156,160,190,223,226,231],"listwise":[33,65,111,218],"assumption":[34],"widely":[36],"accepted":[37],"a":[39,103,107,169,174],"better":[40],"alternative":[41],"due":[42],"to":[43,118],"its":[44],"consistency":[45,148],"final":[48],"delivery":[49],"result.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54,105,167,179],"first":[55],"identify":[56],"two":[57,227],"fundamental":[58],"limitations":[59],"of":[60,183,189,225],"most":[62],"current":[63],"collaborative":[64],"approaches,":[66],"which":[68,115],"their":[69],"modeling":[70],"Plackett-Luce":[75],"probability.":[76],"They":[77],"too":[79,82],"strict":[80],"and":[81,94,109,136,173,202,217,230],"weak":[83],"relative":[84],"comparison":[86,212],"between":[87,95],"items":[89,97],"same":[92],"different":[99,187],"feedback,":[100],"respectively.":[101],"As":[102],"response,":[104],"propose":[106],"novel":[108],"improved":[110],"approach":[112],"called":[113],"SQL-Rank++,":[114],"able":[117],"learn":[119],"user":[121,175],"preferences":[122],"more":[123],"accurately":[124],"by":[125],"leveraging":[126],"specifically":[128],"constructed":[129],"auxiliary":[130,165,191],"lists,":[131,166],"including":[132],"positive":[134,142],"lists":[135,143,158],"negative":[138,157],"lists.":[139,192],"Specifically,":[140],"have":[144,180],"much":[146],"semantic":[147],"original":[151],"list":[152],"possible,":[154],"while":[155],"opposite.":[161],"To":[162],"construct":[163],"these":[164],"design":[168],"self-based":[170],"sampling":[171,228],"strategy":[172],"similarity-based":[176],"one.":[177],"Finally,":[178],"four":[181,199],"variants":[182],"our":[184,205,235],"SQL-Rank++":[185,206],"combinations":[188],"We":[193,220],"then":[194],"conduct":[195],"extensive":[196],"experiments":[197],"public":[200],"datasets,":[201],"find":[203],"that":[204],"achieves":[207],"very":[208],"promising":[209],"performance":[210],"several":[214],"pointwise,":[215],"approaches.":[219],"also":[221],"study":[222],"influence":[224],"strategies":[229],"key":[232],"components":[233],"SQL-Rank++.":[236]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}