{"id":"https://openalex.org/W4390439251","doi":"https://doi.org/10.1080/09540091.2023.2289834","title":"Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks","display_name":"Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks","publication_year":2023,"publication_date":"2023-12-30","ids":{"openalex":"https://openalex.org/W4390439251","doi":"https://doi.org/10.1080/09540091.2023.2289834"},"language":"en","primary_location":{"id":"doi:10.1080/09540091.2023.2289834","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2023.2289834","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1080/09540091.2023.2289834","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103234441","display_name":"Fenfang Xie","orcid":"https://orcid.org/0000-0001-7011-8512"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fenfang Xie","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, People's Republic of China","School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054279798","display_name":"Angyu Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Angyu Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015551207","display_name":"Liang Chen","orcid":"https://orcid.org/0000-0003-3750-1071"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000582109","display_name":"Zibin Zheng","orcid":"https://orcid.org/0000-0002-7878-4330"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zibin Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021069959","display_name":"Mingdong Tang","orcid":"https://orcid.org/0000-0001-6010-2955"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingdong Tang","raw_affiliation_strings":["School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, People's Republic of China","institution_ids":["https://openalex.org/I186272606"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015551207"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":{"value":1270,"currency":"USD","value_usd":1270},"apc_paid":{"value":1270,"currency":"USD","value_usd":1270},"fwci":1.8595,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.89336572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"36","issue":"1","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":0.9995999932289124,"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":0.9995999932289124,"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/T11478","display_name":"Caching and Content Delivery","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12238","display_name":"Green IT and Sustainability","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8560559749603271},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5582124590873718},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5000765323638916},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4595242440700531},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.449739545583725},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.447420209646225},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4195701479911804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40318357944488525},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24526256322860718},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2080519199371338}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8560559749603271},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5582124590873718},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5000765323638916},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4595242440700531},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.449739545583725},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.447420209646225},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4195701479911804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40318357944488525},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24526256322860718},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2080519199371338},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/09540091.2023.2289834","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2023.2289834","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:81f25febd8884e22be9f59bdae626e7e","is_oa":true,"landing_page_url":"https://doaj.org/article/81f25febd8884e22be9f59bdae626e7e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Connection Science, Vol 36, Iss 1 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/09540091.2023.2289834","is_oa":true,"landing_page_url":"https://doi.org/10.1080/09540091.2023.2289834","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1209096496","display_name":null,"funder_award_id":"2022YFF0902500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8935129088","display_name":null,"funder_award_id":"62102461","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W114517082","https://openalex.org/W1880262756","https://openalex.org/W2039240409","https://openalex.org/W2135029798","https://openalex.org/W2137245235","https://openalex.org/W2156387975","https://openalex.org/W2295739661","https://openalex.org/W2354939339","https://openalex.org/W2441800701","https://openalex.org/W2607239473","https://openalex.org/W2620068698","https://openalex.org/W2708423399","https://openalex.org/W2743159750","https://openalex.org/W2797896491","https://openalex.org/W2803646312","https://openalex.org/W2896367309","https://openalex.org/W2900270627","https://openalex.org/W2913661496","https://openalex.org/W2942018288","https://openalex.org/W2951626319","https://openalex.org/W2954148014","https://openalex.org/W2963323306","https://openalex.org/W2963868263","https://openalex.org/W2963919031","https://openalex.org/W2964100231","https://openalex.org/W2965277537","https://openalex.org/W2975973447","https://openalex.org/W2993158215","https://openalex.org/W3093482530","https://openalex.org/W3113127264","https://openalex.org/W3128016176","https://openalex.org/W3198239737","https://openalex.org/W4205646925","https://openalex.org/W4205653115","https://openalex.org/W4206370303","https://openalex.org/W4210827199","https://openalex.org/W4220727936","https://openalex.org/W4226135409","https://openalex.org/W4292230185","https://openalex.org/W4294690883","https://openalex.org/W4296042320","https://openalex.org/W4320855421","https://openalex.org/W4323351071","https://openalex.org/W4379116557","https://openalex.org/W4384787880","https://openalex.org/W4384828933","https://openalex.org/W4386243226","https://openalex.org/W6639619044"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W3092950680","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W4317039510","https://openalex.org/W2963185427","https://openalex.org/W2065296176","https://openalex.org/W2342498029","https://openalex.org/W4225892600"],"abstract_inverted_index":{"Numerous":[0],"mobile":[1,24,30,54,132],"applications":[2],"(apps)":[3],"with":[4],"different":[5,89,98,118],"functions":[6],"meet":[7],"the":[8,64,71,86,95,103,115,123,144,152,171,174,189,207,216,219,222,232],"various":[9,159,182,236],"needs":[10],"of":[11,20,63,88,97,106,117,181,218,224,234],"users,":[12],"but":[13],"users":[14,33,148,202],"have":[15,59],"to":[16,27,52,169,198],"spend":[17],"a":[18,128],"lot":[19],"time":[21],"selecting":[22],"suitable":[23],"apps.":[25,212],"How":[26],"select":[28],"relevant":[29],"apps":[31,150],"for":[32,122,210],"has":[34],"become":[35],"an":[36],"important":[37],"issue.":[38],"Existing":[39],"studies":[40],"mainly":[41],"utilise":[42],"context,":[43],"user":[44],"interest,":[45],"privacy,":[46],"security,":[47],"version,":[48],"and":[49,80,126,140,149,173,203,231],"heterogeneous":[50,73],"information":[51],"make":[53],"app":[55,125,133],"recommendations.":[56],"However,":[57],"they":[58],"at":[60],"least":[61],"one":[62],"following":[65],"limitations:":[66],"(1)":[67],"Don't":[68,76,84,93],"fully":[69],"integrate":[70],"rich":[72],"information;":[74,82],"(2)":[75],"capture":[77],"complex":[78],"structural":[79],"semantic":[81,90,160,183,237],"(3)":[83],"differentiate":[85],"importance":[87,180,233],"meta-graphs;":[91],"(4)":[92],"consider":[94],"influence":[96,116],"users'":[99,119,155,228],"rating":[100,120,156,229],"criteria.":[101],"Therefore,":[102],"predictive":[104],"performance":[105],"these":[107],"methods":[108],"is":[109,167,185,196],"relatively":[110],"limited.":[111],"This":[112],"paper":[113],"considers":[114,151],"criteria":[121,157],"same":[124],"proposes":[127],"weighted":[129],"meta-graph":[130,161],"based":[131],"recommendation":[134],"approach":[135],"by":[136,187],"leveraging":[137],"matrix":[138,164],"factorisation":[139,165],"neural":[141,193],"networks.":[142],"Specifically,":[143],"similarity":[145],"measurement":[146],"between":[147,201],"difference":[153],"in":[154,227],"under":[158],"patterns.":[162],"The":[163,179,192],"technology":[166,195],"used":[168],"acquire":[170],"user's":[172,208],"app's":[175],"latent":[176],"feature":[177],"matrices.":[178],"meta-graphs":[184],"distinguished":[186],"exploiting":[188],"weight":[190],"learning.":[191],"network":[194],"employed":[197],"learn":[199],"interactions":[200],"apps,":[204],"thereby":[205],"predicting":[206],"preference":[209],"unobserved":[211],"Experimental":[213],"results":[214],"demonstrate":[215],"superiority":[217],"proposed":[220],"approach,":[221],"effectiveness":[223],"considering":[225],"differences":[226],"criteria,":[230],"differentiating":[235],"meta-graphs.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}