{"id":"https://openalex.org/W4225985291","doi":"https://doi.org/10.1109/iske54062.2021.9755381","title":"DeepPRFM: Pairwise Ranking Factorization Machine Based on Deep Neural Network Enhancement","display_name":"DeepPRFM: Pairwise Ranking Factorization Machine Based on Deep Neural Network Enhancement","publication_year":2021,"publication_date":"2021-11-26","ids":{"openalex":"https://openalex.org/W4225985291","doi":"https://doi.org/10.1109/iske54062.2021.9755381"},"language":"en","primary_location":{"id":"doi:10.1109/iske54062.2021.9755381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske54062.2021.9755381","pdf_url":null,"source":{"id":"https://openalex.org/S4363608381","display_name":"2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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":"2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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/A5100917648","display_name":"Chenchen Sun","orcid":"https://orcid.org/0009-0005-3856-9256"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenchen Sun","raw_affiliation_strings":["School of Computer Science Nanjing University of Posts and Telecommunications,Nanjing,China","School of Computer Science Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Computer Science Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103045455","display_name":"Ningning Zhou","orcid":"https://orcid.org/0000-0002-5316-0361"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningning Zhou","raw_affiliation_strings":["School of Computer Science Nanjing University of Posts and Telecommunications,Nanjing,China","School of Computer Science Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Computer Science Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100298375","display_name":"Hong Long","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Hong","raw_affiliation_strings":["School of Computer Science Nanjing University of Posts and Telecommunications,Nanjing,China","School of Computer Science Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Computer Science Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihong Jiao","raw_affiliation_strings":["School of Computer Science Nanjing University of Posts and Telecommunications,Nanjing,China","School of Computer Science Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Computer Science Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31683721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"87","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9854999780654907,"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/T10057","display_name":"Face and Expression Recognition","score":0.9645000100135803,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.8314458131790161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8205783367156982},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7885504364967346},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6394559741020203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5952432751655579},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5423951148986816},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5356582999229431},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5016884803771973},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47708067297935486},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46553555130958557},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4583946466445923},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4505296051502228},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.4226163327693939},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.42223986983299255}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8314458131790161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8205783367156982},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7885504364967346},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6394559741020203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5952432751655579},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5423951148986816},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5356582999229431},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5016884803771973},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47708067297935486},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46553555130958557},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4583946466445923},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4505296051502228},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.4226163327693939},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.42223986983299255},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske54062.2021.9755381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske54062.2021.9755381","pdf_url":null,"source":{"id":"https://openalex.org/S4363608381","display_name":"2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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":"2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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":27,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2060303324","https://openalex.org/W2295739661","https://openalex.org/W2395012706","https://openalex.org/W2415326922","https://openalex.org/W2475334473","https://openalex.org/W2604662567","https://openalex.org/W2740920897","https://openalex.org/W2788728386","https://openalex.org/W2793768763","https://openalex.org/W2911760887","https://openalex.org/W2948903560","https://openalex.org/W2954123367","https://openalex.org/W2962712142","https://openalex.org/W2962745591","https://openalex.org/W2963323306","https://openalex.org/W2963902947","https://openalex.org/W2964182926","https://openalex.org/W2989395196","https://openalex.org/W2998677531","https://openalex.org/W3034552531","https://openalex.org/W3098024612","https://openalex.org/W3099810366","https://openalex.org/W3104030692","https://openalex.org/W3105066045","https://openalex.org/W3124675547","https://openalex.org/W4231054948"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2942366970","https://openalex.org/W2011472225","https://openalex.org/W3000057026","https://openalex.org/W3048565508","https://openalex.org/W3163984363","https://openalex.org/W2923216674"],"abstract_inverted_index":{"In":[0,105,152],"the":[1,10,28,38,47,54,62,76,89,94,100,103,109,117,122,131,145,154,161,171,179,184,187,193,197,203,208,221],"field":[2],"of":[3,66,80,83,126,181,186,196,207],"personalized":[4,139,228],"ranking":[5,140],"with":[6,130],"implicit":[7],"feedback":[8],"data,":[9],"pairwise":[11,162],"learning":[12,79,147,163],"is":[13,93,231],"an":[14],"important":[15],"technology":[16],"widely":[17],"used.":[18],"This":[19],"method":[20,148],"can":[21,189,199,210],"not":[22,71],"only":[23],"learn":[24,34],"user":[25,30,35,101],"interest":[26],"from":[27,37],"recorded":[29],"feedback,":[31],"but":[32,69],"also":[33,159],"preferences":[36],"potential":[39],"interaction":[40,48,64,67,124],"between":[41,50],"users":[42,51,85,127],"and":[43,52,78,86,102,128,135,174,202],"items.":[44,87],"When":[45],"modeling":[46,61,77],"features":[49,68,82,125],"items,":[53],"existing":[55],"methods":[56,226],"pay":[57,72,113],"more":[58,168],"attention":[59,74,115],"to":[60,75,107,116],"high-order":[63,123],"model":[65,141,188,198,223],"do":[70],"enough":[73],"input":[81,91,119,133],"original":[84,90,118,132],"However,":[88],"feature":[92],"first-hand":[95],"information":[96],"that":[97,176],"best":[98],"reflects":[99],"item.":[104],"order":[106],"solve":[108],"above":[110],"shortcomings,":[111],"we":[112],"due":[114],"features,":[120,134],"integrate":[121],"items":[129],"present":[136],"a":[137],"new":[138],"DeepPRFM":[142],"by":[143,177],"using":[144],"paired":[146],"in":[149,170,227],"this":[150],"paper.":[151],"addition,":[153],"system":[155,209],"cold":[156,204],"start":[157,205],"problem":[158,206],"hinders":[160],"method.":[164],"We":[165],"have":[166],"conducted":[167],"explorations":[169],"experimental":[172],"process,":[173],"found":[175],"increasing":[178],"proportion":[180],"negative":[182],"samples,":[183],"effect":[185],"be":[190,200,211],"greatly":[191],"improved,":[192],"training":[194],"speed":[195],"accelerated":[201],"alleviated.":[212],"Experimental":[213],"results":[214],"on":[215],"two":[216],"real":[217],"data":[218],"sets":[219],"demonstrate":[220],"proposed":[222],"outperforms":[224],"state-of-the-art":[225],"ranking.":[229],"Code":[230],"available":[232],"at:":[233],"https://github.con":[234],"sunchch/DeepPRFM.":[235]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
