{"id":"https://openalex.org/W4416870450","doi":"https://doi.org/10.1007/s11257-025-09440-6","title":"Efficient incorporation of new interactions in graph recommenders via folding-in","display_name":"Efficient incorporation of new interactions in graph recommenders via folding-in","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W4416870450","doi":"https://doi.org/10.1007/s11257-025-09440-6"},"language":"en","primary_location":{"id":"doi:10.1007/s11257-025-09440-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11257-025-09440-6","pdf_url":null,"source":{"id":"https://openalex.org/S160628929","display_name":"User Modeling and User-Adapted Interaction","issn_l":"0924-1868","issn":["0924-1868","1573-1391"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"User Modeling and User-Adapted Interaction","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":null,"display_name":"Viacheslav Yusupov","orcid":null},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Viacheslav Yusupov","raw_affiliation_strings":["HSE University, Moscow, Russian Federation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HSE University, Moscow, Russian Federation","institution_ids":["https://openalex.org/I118501908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119556703","display_name":"Nikita Sukhorukov","orcid":"https://orcid.org/0009-0005-0965-4654"},"institutions":[{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Nikita Sukhorukov","raw_affiliation_strings":["AIRI, Moscow, Russian Federation","Skoltech, Moscow, Russian Federation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AIRI, Moscow, Russian Federation","institution_ids":[]},{"raw_affiliation_string":"Skoltech, Moscow, Russian Federation","institution_ids":["https://openalex.org/I125989756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010009492","display_name":"Evgeny Frolov","orcid":"https://orcid.org/0000-0003-3679-5311"},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Evgeny Frolov","raw_affiliation_strings":["AIRI, Moscow, Russian Federation","HSE University, Moscow, Russian Federation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AIRI, Moscow, Russian Federation","institution_ids":[]},{"raw_affiliation_string":"HSE University, Moscow, Russian Federation","institution_ids":["https://openalex.org/I118501908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118501908"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46308563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.8981000185012817,"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":0.8981000185012817,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.03799999877810478,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.005200000014156103,"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/scalability","display_name":"Scalability","score":0.7890999913215637},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7615000009536743},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.6942999958992004},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6940000057220459},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.536899983882904},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48579999804496765},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4277999997138977},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3910999894142151}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8695999979972839},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7890999913215637},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7615000009536743},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.6942999958992004},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6940000057220459},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.536899983882904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.492900013923645},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48579999804496765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45840001106262207},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4277999997138977},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3910999894142151},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3409000039100647},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.33219999074935913},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3321000039577484},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3019999861717224},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29100000858306885},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2858999967575073},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.2524999976158142},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11257-025-09440-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11257-025-09440-6","pdf_url":null,"source":{"id":"https://openalex.org/S160628929","display_name":"User Modeling and User-Adapted Interaction","issn_l":"0924-1868","issn":["0924-1868","1573-1391"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"User Modeling and User-Adapted Interaction","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1969644815","https://openalex.org/W2034996255","https://openalex.org/W2086023346","https://openalex.org/W2206441274","https://openalex.org/W2340502990","https://openalex.org/W2626454364","https://openalex.org/W2749464641","https://openalex.org/W2808858103","https://openalex.org/W2914050157","https://openalex.org/W2945827670","https://openalex.org/W2963341956","https://openalex.org/W2963367478","https://openalex.org/W2984100107","https://openalex.org/W2998673651","https://openalex.org/W3045200674","https://openalex.org/W3089170390","https://openalex.org/W3094605801","https://openalex.org/W3206127589","https://openalex.org/W3211143493","https://openalex.org/W4224319012","https://openalex.org/W4293790978","https://openalex.org/W4297971002","https://openalex.org/W4362579589","https://openalex.org/W4384648390","https://openalex.org/W4386729798","https://openalex.org/W4387461044","https://openalex.org/W4396844113","https://openalex.org/W4403220074","https://openalex.org/W4403220659","https://openalex.org/W4403582629","https://openalex.org/W4406200006","https://openalex.org/W4414034760"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-12-01T00:00:00"}
