{"id":"https://openalex.org/W7117358345","doi":"https://doi.org/10.1007/s44443-025-00408-5","title":"Multi-view information fusion based graph collaborative filtering recommendation","display_name":"Multi-view information fusion based graph collaborative filtering recommendation","publication_year":2025,"publication_date":"2025-12-27","ids":{"openalex":"https://openalex.org/W7117358345","doi":"https://doi.org/10.1007/s44443-025-00408-5"},"language":"en","primary_location":{"id":"doi:10.1007/s44443-025-00408-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-025-00408-5","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s44443-025-00408-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102166895","display_name":"Ruihui Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165883","display_name":"Xinxiang University","ror":"https://ror.org/05qvskn85","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165883"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruihui Mu","raw_affiliation_strings":["College of Computer and Information Engineering, Xinxiang University, Xinxiang, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Xinxiang University, Xinxiang, Henan, China","institution_ids":["https://openalex.org/I4210165883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121404392","display_name":"Xin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["College of Computer Science and Software Engineering, Hohai University, Nanjing, Jiangsu, China","Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Hohai University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021219230","display_name":"Jiying Zhang","orcid":"https://orcid.org/0000-0002-4344-9794"},"institutions":[{"id":"https://openalex.org/I4210165883","display_name":"Xinxiang University","ror":"https://ror.org/05qvskn85","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165883"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiying Zhang","raw_affiliation_strings":["College of Computer and Information Engineering, Xinxiang University, Xinxiang, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Xinxiang University, Xinxiang, Henan, China","institution_ids":["https://openalex.org/I4210165883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102166895"],"corresponding_institution_ids":["https://openalex.org/I4210165883"],"apc_list":{"value":1350,"currency":"USD","value_usd":1350},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69141785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.8001000285148621,"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":0.8001000285148621,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.03739999979734421,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.02239999920129776,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6884999871253967},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.637499988079071},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6013000011444092},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5929999947547913},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.4032999873161316},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.38530001044273376},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.37470000982284546},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.35370001196861267},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.3382999897003174},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.322299987077713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8162999749183655},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6884999871253967},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.637499988079071},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6013000011444092},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5929999947547913},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5507000088691711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4603999853134155},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4165000021457672},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.4032999873161316},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.38530001044273376},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.37470000982284546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35670000314712524},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.35370001196861267},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.3382999897003174},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.3172999918460846},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.31529998779296875},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.25690001249313354},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.2515999972820282},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44443-025-00408-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-025-00408-5","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b17e71d926b140cfbd9283d7b14a0e80","is_oa":true,"landing_page_url":"https://doaj.org/article/b17e71d926b140cfbd9283d7b14a0e80","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of King Saud University: Computer and Information Sciences, Vol 38, Iss 2, Pp 1-22 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44443-025-00408-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-025-00408-5","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5408030152320862}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2343271409","https://openalex.org/W2509678028","https://openalex.org/W2605350416","https://openalex.org/W2767249564","https://openalex.org/W2886193235","https://openalex.org/W2900841426","https://openalex.org/W2907492528","https://openalex.org/W2914721378","https://openalex.org/W2945827670","https://openalex.org/W2963146368","https://openalex.org/W2963323306","https://openalex.org/W2963655167","https://openalex.org/W2982108874","https://openalex.org/W2998431760","https://openalex.org/W3045200674","https://openalex.org/W3093002391","https://openalex.org/W3095937012","https://openalex.org/W3130869292","https://openalex.org/W3155496675","https://openalex.org/W3173365306","https://openalex.org/W3173955760","https://openalex.org/W3199723057","https://openalex.org/W3207066264","https://openalex.org/W4205091644","https://openalex.org/W4212931205","https://openalex.org/W4225412853","https://openalex.org/W4284687944","https://openalex.org/W4289433255","https://openalex.org/W4293790978","https://openalex.org/W4379382506","https://openalex.org/W4386289268","https://openalex.org/W4399151645","https://openalex.org/W4406552230","https://openalex.org/W4407360690","https://openalex.org/W4408356779","https://openalex.org/W4409356363","https://openalex.org/W4416097686","https://openalex.org/W6891905008"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,33,71,90,120,127,177,195],"development":[2],"of":[3,9,35,92,100,132,197],"graph":[4,21,48,87],"learning":[5,22,116],"technology,":[6],"different":[7,123,133],"modalities":[8],"content":[10],"information":[11,55,103],"such":[12],"as":[13],"visual":[14],"and":[15,38,78,84,104,108],"textual":[16,83],"can":[17,150],"be":[18],"learned.":[19],"Applying":[20],"techniques":[23],"to":[24,63,118,193],"recommendation":[25,152],"has":[26],"become":[27],"a":[28,46,114,138],"research":[29],"trend.":[30],"To":[31],"address":[32],"challenges":[34],"data":[36,40,146],"sparsity":[37],"multimodal":[39,109],"fusion":[41,99],"in":[42,144],"recommendation,":[43],"we":[44,112],"propose":[45],"novel":[47],"collaborative":[49],"filtering":[50],"framework":[51,58,136],"based":[52,74],"on":[53,75,167,173,176,181,185],"multi-view":[54,101,107],"fusion.":[56],"This":[57,135],"utilizes":[59],"user":[60],"social":[61],"view":[62],"mine":[64],"shared":[65],"preference":[66],"features":[67,93,121,131],"between":[68,122,129],"users.":[69],"At":[70],"same":[72],"time,":[73],"extracted":[76],"text":[77],"image":[79,85],"features,":[80],"it":[81,149],"constructs":[82],"semantic":[86,102,130],"by":[88],"utilizing":[89],"similarity":[91],"within":[94],"each":[95],"modality,":[96],"achieving":[97],"effective":[98],"comprehensively":[105],"mining":[106],"information.":[110],"Then,":[111],"designed":[113],"contrastive":[115],"mechanism":[117],"strengthen":[119],"views,":[124],"effectively":[125],"improving":[126],"distinguishability":[128],"views.":[134],"provides":[137],"scalable":[139],"solution":[140],"for":[141],"recommender":[142],"systems":[143],"sparse":[145,168],"scenarios,":[147],"where":[148],"improve":[151],"accuracy":[153],"while":[154],"reducing":[155],"cold-start":[156],"bias.":[157],"For":[158],"data-sparse":[159],"subsets,":[160],"our":[161,198],"model":[162],"outperforms":[163],"baselines":[164],"more":[165],"significantly":[166],"subsets":[169],"(14.8\u201334.2%":[170],"relative":[171],"improvement":[172],"HR@10)":[174],"than":[175],"full":[178],"dataset":[179],"(2.3\u20137.2%":[180],"HR@10).":[182],"Extensive":[183],"experiments":[184],"distinct":[186],"real-world":[187],"datasets":[188],"have":[189],"provided":[190],"solid":[191],"evidence":[192],"confirm":[194],"effectiveness":[196],"model.":[199]},"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-12-27T00:00:00"}
