{"id":"https://openalex.org/W4416079291","doi":"https://doi.org/10.1051/ro/2025151","title":"Addressing the cold start problem in privacy preserving content-based recommender systems using hypercube graphs","display_name":"Addressing the cold start problem in privacy preserving content-based recommender systems using hypercube graphs","publication_year":2025,"publication_date":"2025-11-01","ids":{"openalex":"https://openalex.org/W4416079291","doi":"https://doi.org/10.1051/ro/2025151"},"language":null,"primary_location":{"id":"doi:10.1051/ro/2025151","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2025151","pdf_url":null,"source":{"id":"https://openalex.org/S20631277","display_name":"RAIRO - Operations Research","issn_l":"0399-0559","issn":["0399-0559","1290-3868","2804-7303"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748"],"host_organization_lineage_names":["EDP Sciences"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1051/ro/2025151","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007710804","display_name":"Noa Tuval","orcid":null},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Noa Tuval","raw_affiliation_strings":["Information Systems Department, The University of Haifa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Systems Department, The University of Haifa","institution_ids":["https://openalex.org/I91203450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012903473","display_name":"Alain Hertz","orcid":"https://orcid.org/0000-0001-7253-3867"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alain Hertz","raw_affiliation_strings":["Department of Mathematics and Industrial Engineering, Polytechnique Montr\u00e9al \u2013 Gerad"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Industrial Engineering, Polytechnique Montr\u00e9al \u2013 Gerad","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082219837","display_name":"Tsvi Kuflik","orcid":"https://orcid.org/0000-0003-0096-4240"},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Tsvi Kuflik","raw_affiliation_strings":["Information Systems Department, The University of Haifa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Systems Department, The University of Haifa","institution_ids":["https://openalex.org/I91203450"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0267,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90837262,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"59","issue":"6","first_page":"3891","last_page":"3911"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9442999958992004,"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":0.9442999958992004,"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":0.009200000204145908,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.008200000040233135,"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/cold-start","display_name":"Cold start (automotive)","score":0.8374000191688538},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8050000071525574},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7396000027656555},{"id":"https://openalex.org/keywords/hypercube","display_name":"Hypercube","score":0.5892000198364258},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4293999969959259},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.390500009059906}],"concepts":[{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.8374000191688538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8062000274658203},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8050000071525574},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7396000027656555},{"id":"https://openalex.org/C50820777","wikidata":"https://www.wikidata.org/wiki/Q213723","display_name":"Hypercube","level":2,"score":0.5892000198364258},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43479999899864197},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4293999969959259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.398499995470047},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.390500009059906},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.3889000117778778},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.375},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30869999527931213},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C2777622855","wikidata":"https://www.wikidata.org/wiki/Q7901844","display_name":"User information","level":3,"score":0.2946000099182129},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.25839999318122864}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1051/ro/2025151","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2025151","pdf_url":null,"source":{"id":"https://openalex.org/S20631277","display_name":"RAIRO - Operations Research","issn_l":"0399-0559","issn":["0399-0559","1290-3868","2804-7303"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748"],"host_organization_lineage_names":["EDP Sciences"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},{"id":"pmh:oai:publications.polymtl.ca:71255","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/71255/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article de revue"}],"best_oa_location":{"id":"doi:10.1051/ro/2025151","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2025151","pdf_url":null,"source":{"id":"https://openalex.org/S20631277","display_name":"RAIRO - Operations Research","issn_l":"0399-0559","issn":["0399-0559","1290-3868","2804-7303"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748"],"host_organization_lineage_names":["EDP Sciences"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1542664738","https://openalex.org/W2025220724","https://openalex.org/W2091194802","https://openalex.org/W2117281325","https://openalex.org/W2171960770","https://openalex.org/W2276402578","https://openalex.org/W2401983063","https://openalex.org/W2519558098","https://openalex.org/W2592943553","https://openalex.org/W2621284121","https://openalex.org/W2729403604","https://openalex.org/W2747029350","https://openalex.org/W2769690594","https://openalex.org/W2783279085","https://openalex.org/W2803314776","https://openalex.org/W2899626049","https://openalex.org/W2905461678","https://openalex.org/W2911407631","https://openalex.org/W2912664727","https://openalex.org/W2914721378","https://openalex.org/W2955675755","https://openalex.org/W2963224980","https://openalex.org/W2963929932","https://openalex.org/W2964983698","https://openalex.org/W2966501701","https://openalex.org/W3031331881","https://openalex.org/W3045636955","https://openalex.org/W3081320135","https://openalex.org/W3094700584","https://openalex.org/W3097904695","https://openalex.org/W3119822830","https://openalex.org/W3137626050","https://openalex.org/W3156002164","https://openalex.org/W3192055963","https://openalex.org/W3199856156","https://openalex.org/W4205390421","https://openalex.org/W4224281599","https://openalex.org/W4224940282","https://openalex.org/W4226055758","https://openalex.org/W4226210383","https://openalex.org/W4226322861","https://openalex.org/W4297614008","https://openalex.org/W4297804276","https://openalex.org/W4389233068"],"related_works":[],"abstract_inverted_index":{"The":[0],"initial":[1],"interaction":[2],"of":[3,86,102,129],"a":[4,7,15,82],"user":[5,78,90],"with":[6,42,104,142],"recommender":[8,21],"system":[9,22],"is":[10,54,132,140,149],"problematic":[11],"because,":[12],"in":[13,33,50,109],"such":[14,58],"so-called":[16],"cold":[17],"start":[18],"situation,":[19],"the":[20,28,43,100,110,118,127],"has":[23,67],"very":[24,83],"little":[25],"information":[26,59],"about":[27],"user,":[29],"if":[30],"any.":[31],"Moreover,":[32],"collaborative":[34],"filtering,":[35],"users":[36,108],"need":[37,56],"to":[38,73,76],"share":[39],"their":[40],"preferences":[41],"service":[44],"provider":[45],"by":[46],"rating":[47],"items":[48],"while":[49,88],"content-based":[51,62],"filtering":[52],"there":[53],"no":[55],"for":[57],"sharing.":[60],"A":[61],"model":[63],"using":[64],"hypercube":[65],"graphs":[66],"recently":[68],"been":[69],"proposed":[70,119],"and":[71,112,139,151],"appears":[72],"be":[74],"able":[75],"estimate":[77],"profiles":[79],"based":[80],"on":[81,99],"limited":[84],"number":[85,128],"ratings":[87,131],"preserving":[89],"privacy.":[91],"In":[92,146],"this":[93],"paper,":[94],"we":[95],"confirm":[96],"these":[97],"findings":[98],"basis":[101],"experiments":[103],"more":[105],"than":[106],"1000":[107],"restaurant":[111],"movie":[113],"domains.":[114],"We":[115],"show":[116],"that":[117],"method":[120],"outperforms":[121],"standard":[122],"machine":[123],"learning":[124],"algorithms":[125],"when":[126],"available":[130],"at":[133],"most":[134],"10,":[135],"which":[136],"often":[137],"happens,":[138],"competitive":[141],"larger":[143],"training":[144,148],"sets.":[145],"addition,":[147],"simple":[150],"doesn\u2019t":[152],"require":[153],"large":[154],"computational":[155],"efforts.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-07T06:14:10.401900","created_date":"2025-11-10T00:00:00"}
