{"id":"https://openalex.org/W2972724570","doi":"https://doi.org/10.1145/3357154","title":"Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering","display_name":"Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering","publication_year":2019,"publication_date":"2019-09-13","ids":{"openalex":"https://openalex.org/W2972724570","doi":"https://doi.org/10.1145/3357154","mag":"2972724570"},"language":"en","primary_location":{"id":"doi:10.1145/3357154","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357154","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-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/A5003567218","display_name":"Xiaoyu Du","orcid":"https://orcid.org/0000-0002-4641-1994"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyu Du","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038668215","display_name":"Xiangnan He","orcid":"https://orcid.org/0000-0001-8472-7992"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangnan He","raw_affiliation_strings":["HE, University of Science and Technology of China, Anhui, China"],"affiliations":[{"raw_affiliation_string":"HE, University of Science and Technology of China, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081665927","display_name":"Fajie Yuan","orcid":"https://orcid.org/0000-0001-8452-9929"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fajie Yuan","raw_affiliation_strings":["Platform and Content Group (PCG) of Tencent, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Platform and Content Group (PCG) of Tencent, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035112538","display_name":"Jinhui Tang","orcid":"https://orcid.org/0000-0001-9008-222X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhui Tang","raw_affiliation_strings":["Nanjing University of Science and Technology, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045032131","display_name":"Zhiguang Qin","orcid":"https://orcid.org/0000-0001-6745-6377"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguang Qin","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089404640","display_name":"Tat\u2010Seng Chua","orcid":"https://orcid.org/0000-0001-6097-7807"},"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":false,"raw_author_name":"Tat-Seng Chua","raw_affiliation_strings":["National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5003567218"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":8.1394,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.97533779,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"37","issue":"4","first_page":"1","last_page":"22"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9106000065803528,"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.8715922236442566},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.8676466941833496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7846642732620239},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7371323108673096},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6666578650474548},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6282708644866943},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5740023255348206},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5466039180755615},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4906531870365143},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47666624188423157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4326452612876892},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4082546532154083},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37040776014328003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10687139630317688}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8715922236442566},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8676466941833496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7846642732620239},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7371323108673096},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6666578650474548},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6282708644866943},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5740023255348206},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5466039180755615},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4906531870365143},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47666624188423157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4326452612876892},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4082546532154083},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37040776014328003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10687139630317688},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3357154","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357154","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/168416","is_oa":false,"landing_page_url":"https://scholarbank.nus.edu.sg/handle/10635/168416","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G5111956012","display_name":null,"funder_award_id":"61772275, 61732007, 61720106004, and U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5438267384","display_name":null,"funder_award_id":"BK20170033","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W21207210","https://openalex.org/W1886704267","https://openalex.org/W1977177161","https://openalex.org/W1988115241","https://openalex.org/W1994389483","https://openalex.org/W2049938617","https://openalex.org/W2054141820","https://openalex.org/W2064675550","https://openalex.org/W2103496339","https://openalex.org/W2108920354","https://openalex.org/W2125326641","https://openalex.org/W2139583468","https://openalex.org/W2140310134","https://openalex.org/W2194775991","https://openalex.org/W2210543184","https://openalex.org/W2247675004","https://openalex.org/W2253995343","https://openalex.org/W2278138779","https://openalex.org/W2286929393","https://openalex.org/W2295739661","https://openalex.org/W2340502990","https://openalex.org/W2341535507","https://openalex.org/W2343644403","https://openalex.org/W2395937008","https://openalex.org/W2512971201","https://openalex.org/W2515144511","https://openalex.org/W2538394767","https://openalex.org/W2539247542","https://openalex.org/W2565948352","https://openalex.org/W2597655663","https://openalex.org/W2604433096","https://openalex.org/W2605350416","https://openalex.org/W2618530766","https://openalex.org/W2626473670","https://openalex.org/W2736230012","https://openalex.org/W2740276176","https://openalex.org/W2740920897","https://openalex.org/W2741249238","https://openalex.org/W2741359394","https://openalex.org/W2767669124","https://openalex.org/W2767724106","https://openalex.org/W2773640334","https://openalex.org/W2782111139","https://openalex.org/W2783565819","https://openalex.org/W2788663865","https://openalex.org/W2792805964","https://openalex.org/W2798868970","https://openalex.org/W2798881875","https://openalex.org/W2802187397","https://openalex.org/W2807899908","https://openalex.org/W2810809861","https://openalex.org/W2893230400","https://openalex.org/W2898541470","https://openalex.org/W2899626049","https://openalex.org/W2900300695","https://openalex.org/W2900464008","https://openalex.org/W2900806287","https://openalex.org/W2902040508","https://openalex.org/W2903574258","https://openalex.org/W2908900944","https://openalex.org/W2911465377","https://openalex.org/W2913415152","https://openalex.org/W2914041468","https://openalex.org/W2963323306","https://openalex.org/W2963446712","https://openalex.org/W2963655167","https://openalex.org/W2963869731","https://openalex.org/W2963924287","https://openalex.org/W3100591234","https://openalex.org/W3101830194","https://openalex.org/W3102331315","https://openalex.org/W3123329971","https://openalex.org/W4301312111"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W135044020","https://openalex.org/W4376854386"],"abstract_inverted_index":{"As":[0],"the":[1,10,31,40,59,70,84,128,141,146,180],"core":[2],"of":[3,160,182],"recommender":[4,53],"systems,":[5],"collaborative":[6,105],"filtering":[7,106],"(CF)":[8],"models":[9,54],"affinity":[11],"between":[12,73,131],"a":[13,45,100,168],"user":[14,120,169],"and":[15,26,75,102,122,134,170],"an":[16],"item":[17,123],"from":[18,30],"historical":[19],"user-item":[20],"interactions,":[21],"such":[22],"as":[23],"clicks,":[24],"purchases,":[25],"so":[27],"on.":[28],"Benefiting":[29],"strong":[32],"representation":[33],"power,":[34],"neural":[35,52,90,104,138],"networks":[36,91],"have":[37],"recently":[38],"revolutionized":[39],"recommendation":[41],"research,":[42],"setting":[43],"up":[44],"new":[46],"standard":[47],"for":[48,96],"CF.":[49,97],"However,":[50],"existing":[51],"do":[55],"not":[56],"explicitly":[57,126],"consider":[58],"correlations":[60,85,130,148,186],"among":[61,86,149],"embedding":[62,87,121,124,132,150,184],"dimensions,":[63,133],"making":[64],"them":[65],"less":[66],"effective":[67],"in":[68,89],"modeling":[69,83,183],"interaction":[71],"function":[72],"users":[74],"items.":[76],"In":[77],"this":[78],"work,":[79],"we":[80,156],"emphasize":[81],"on":[82,119,173],"dimensions":[88],"to":[92,125,144,166],"pursue":[93],"higher":[94],"effectiveness":[95],"We":[98],"propose":[99],"novel":[101],"general":[103],"framework\u2014namely,":[107],"ConvNCF,":[108,188],"which":[109,189],"is":[110],"featured":[111],"with":[112,187],"two":[113,174],"designs:":[114],"(1)":[115],"applying":[116],"outer":[117,142],"product":[118,143],"model":[127],"pairwise":[129],"(2)":[135],"employing":[136],"convolutional":[137],"network":[139],"above":[140],"learn":[145],"high-order":[147],"dimensions.":[151],"To":[152],"justify":[153],"our":[154],"proposal,":[155],"present":[157],"three":[158],"instantiations":[159],"ConvNCF":[161],"by":[162],"using":[163],"different":[164],"inputs":[165],"represent":[167],"conduct":[171],"experiments":[172],"real-world":[175],"datasets.":[176],"Extensive":[177],"results":[178],"verify":[179],"utility":[181],"dimension":[185],"outperforms":[190],"several":[191],"competitive":[192],"CF":[193],"methods.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
