{"id":"https://openalex.org/W4410538839","doi":"https://doi.org/10.1109/ssd64182.2025.10989960","title":"Two-Tower Neural Network for Personalizing Service Recommendation in Cloud Environment","display_name":"Two-Tower Neural Network for Personalizing Service Recommendation in Cloud Environment","publication_year":2025,"publication_date":"2025-02-17","ids":{"openalex":"https://openalex.org/W4410538839","doi":"https://doi.org/10.1109/ssd64182.2025.10989960"},"language":"en","primary_location":{"id":"doi:10.1109/ssd64182.2025.10989960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd64182.2025.10989960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Multi-Conference on Systems, Signals & Devices (SSD)","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/A5028548919","display_name":"Fatma Zohra Lebib","orcid":"https://orcid.org/0000-0002-1821-8097"},"institutions":[{"id":"https://openalex.org/I4210095777","display_name":"Centre de Recherche sur l'Information Scientifique et Technique","ror":"https://ror.org/01k1bte55","country_code":"DZ","type":"government","lineage":["https://openalex.org/I4210095777","https://openalex.org/I4210114810"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Fatma Zohra Lebib","raw_affiliation_strings":["Research Center for Scientific and Technical Information (CERIST),Information and Multimedia Systems Division,Algiers,Algeria"],"affiliations":[{"raw_affiliation_string":"Research Center for Scientific and Technical Information (CERIST),Information and Multimedia Systems Division,Algiers,Algeria","institution_ids":["https://openalex.org/I4210095777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082266809","display_name":"Abdelkrim Meziane","orcid":"https://orcid.org/0000-0003-0894-8376"},"institutions":[{"id":"https://openalex.org/I4210095777","display_name":"Centre de Recherche sur l'Information Scientifique et Technique","ror":"https://ror.org/01k1bte55","country_code":"DZ","type":"government","lineage":["https://openalex.org/I4210095777","https://openalex.org/I4210114810"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Abdelkrim Meziane","raw_affiliation_strings":["Research Center for Scientific and Technical Information (CERIST),Information and Multimedia Systems Division,Algiers,Algeria"],"affiliations":[{"raw_affiliation_string":"Research Center for Scientific and Technical Information (CERIST),Information and Multimedia Systems Division,Algiers,Algeria","institution_ids":["https://openalex.org/I4210095777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028548919"],"corresponding_institution_ids":["https://openalex.org/I4210095777"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13257079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"879","last_page":"884"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.7753000259399414,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.7753000259399414,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.6650000214576721,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.6650000214576721,"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/cloud-computing","display_name":"Cloud computing","score":0.7840496301651001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.723008930683136},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5716208815574646},{"id":"https://openalex.org/keywords/tower","display_name":"Tower","score":0.5106437802314758},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.510478138923645},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3206790089607239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29729780554771423},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13573002815246582},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0979929268360138},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.0725012719631195}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7840496301651001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.723008930683136},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5716208815574646},{"id":"https://openalex.org/C2777831296","wikidata":"https://www.wikidata.org/wiki/Q12518","display_name":"Tower","level":2,"score":0.5106437802314758},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.510478138923645},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3206790089607239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29729780554771423},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13573002815246582},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0979929268360138},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0725012719631195},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssd64182.2025.10989960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd64182.2025.10989960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Multi-Conference on Systems, Signals & Devices (SSD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1973812756","https://openalex.org/W2043403353","https://openalex.org/W2114296561","https://openalex.org/W2135598826","https://openalex.org/W2171960770","https://openalex.org/W2359167595","https://openalex.org/W2537490667","https://openalex.org/W2588149636","https://openalex.org/W2594843213","https://openalex.org/W2763314014","https://openalex.org/W2783395064","https://openalex.org/W2902493494","https://openalex.org/W2921369641","https://openalex.org/W2969915818","https://openalex.org/W2995463512","https://openalex.org/W3023045848","https://openalex.org/W3097386298","https://openalex.org/W3123164549","https://openalex.org/W3130911857","https://openalex.org/W3144488283","https://openalex.org/W3199647641","https://openalex.org/W4387490461","https://openalex.org/W4393970375","https://openalex.org/W4401792533","https://openalex.org/W4404896779","https://openalex.org/W6630185657"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W2802581102"],"abstract_inverted_index":{"Effectively":[0],"recommending":[1],"cloud":[2,18,45,75,83,102],"services":[3,84,103],"requires":[4],"a":[5,23,87],"deep":[6],"understanding":[7],"of":[8,16,37,55,73,90,116],"both":[9,131],"user":[10,43],"requirements":[11],"and":[12,44,82,93,114,133,150],"the":[13,35,53,70,108,117,127],"wide":[14],"range":[15],"available":[17],"offerings.":[19],"This":[20],"paper":[21],"introduces":[22],"novel":[24],"two-tower":[25,61,122],"neural":[26,38],"network":[27],"architecture":[28,62],"to":[29,80,96,143],"tackle":[30],"this":[31],"challenge.":[32],"By":[33],"leveraging":[34],"power":[36],"networks,":[39],"we":[40],"distill":[41],"intricate":[42],"service":[46],"information":[47],"into":[48],"concise":[49],"vector":[50,99],"representations,":[51],"enabling":[52],"refinement":[54],"highly":[56],"personalized":[57],"recommendations.":[58],"Our":[59],"proposed":[60,121],"is":[63],"specifically":[64],"designed":[65],"for":[66,130],"efficient":[67],"scalability":[68],"within":[69],"demanding":[71],"context":[72],"large-scale":[74],"environments.":[76],"Each":[77],"tower,":[78],"dedicated":[79],"users":[81],"respectively,":[85],"integrates":[86],"comprehensive":[88],"set":[89],"relevant":[91],"features":[92],"interaction":[94],"data":[95],"generate":[97],"dense":[98],"embeddings.":[100],"Subsequently,":[101],"are":[104],"ranked":[105],"based":[106],"on":[107,126],"calculated":[109],"similarity":[110],"between":[111],"their":[112],"embeddings":[113],"those":[115],"respective":[118],"users.":[119],"The":[120],"model":[123],"was":[124],"evaluated":[125],"WSdream":[128],"dataset":[129],"regression":[132],"classification":[134],"tasks.":[135],"Experimental":[136],"results":[137],"consistently":[138],"demonstrated":[139],"superior":[140],"performance":[141],"compared":[142],"state-of-the-art":[144],"recommendation":[145],"techniques,":[146],"including":[147],"k-nearest":[148],"neighbors":[149],"matrix":[151],"factorization.":[152]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}