{"id":"https://openalex.org/W2975066491","doi":"https://doi.org/10.1145/3341981.3344214","title":"Neural Attentive Cross-Domain Recommendation","display_name":"Neural Attentive Cross-Domain Recommendation","publication_year":2019,"publication_date":"2019-09-26","ids":{"openalex":"https://openalex.org/W2975066491","doi":"https://doi.org/10.1145/3341981.3344214","mag":"2975066491"},"language":"en","primary_location":{"id":"doi:10.1145/3341981.3344214","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341981.3344214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval","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/A5034151597","display_name":"Dimitrios Rafailidis","orcid":"https://orcid.org/0000-0002-7366-3716"},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Dimitrios Rafailidis","raw_affiliation_strings":["Maastricht University, Maastricht, Netherlands"],"affiliations":[{"raw_affiliation_string":"Maastricht University, Maastricht, Netherlands","institution_ids":["https://openalex.org/I34352273"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012367814","display_name":"F\u00e1bio Crestani","orcid":"https://orcid.org/0000-0001-8672-0700"},"institutions":[{"id":"https://openalex.org/I57201433","display_name":"Universit\u00e0 della Svizzera italiana","ror":"https://ror.org/03c4atk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Fabio Crestani","raw_affiliation_strings":["Universita della Svizzera italiana, Lugano, Switzerland"],"affiliations":[{"raw_affiliation_string":"Universita della Svizzera italiana, Lugano, Switzerland","institution_ids":["https://openalex.org/I57201433"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034151597"],"corresponding_institution_ids":["https://openalex.org/I34352273"],"apc_list":null,"apc_paid":null,"fwci":1.0545,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83877821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"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":0.9998999834060669,"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":0.9998999834060669,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9664999842643738,"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/computer-science","display_name":"Computer science","score":0.8363317251205444},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.7731972932815552},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5642975568771362},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.49646812677383423},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.49457404017448425},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.49434566497802734},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.43813830614089966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4326150715351105},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.41642138361930847},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3519274592399597},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33033448457717896},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24372872710227966},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09328967332839966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8363317251205444},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.7731972932815552},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5642975568771362},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.49646812677383423},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.49457404017448425},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.49434566497802734},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.43813830614089966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4326150715351105},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.41642138361930847},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3519274592399597},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33033448457717896},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24372872710227966},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09328967332839966},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3341981.3344214","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341981.3344214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:um:oai:cris.maastrichtuniversity.nl:publications/5f376fbd-b8fe-4930-9cbf-5816393828fd","is_oa":false,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/5f376fbd-b8fe-4930-9cbf-5816393828fd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICTIR '19: Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 165 - 172","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W163868085","https://openalex.org/W1502375784","https://openalex.org/W1971082784","https://openalex.org/W1980110184","https://openalex.org/W2052575990","https://openalex.org/W2054141820","https://openalex.org/W2094286023","https://openalex.org/W2111311770","https://openalex.org/W2118674552","https://openalex.org/W2129679514","https://openalex.org/W2150886314","https://openalex.org/W2199277097","https://openalex.org/W2539182092","https://openalex.org/W2605213237","https://openalex.org/W2605350416","https://openalex.org/W2626591897","https://openalex.org/W2786995169","https://openalex.org/W2796608345","https://openalex.org/W2798749602","https://openalex.org/W2798908418","https://openalex.org/W2798972759","https://openalex.org/W2809307135","https://openalex.org/W2963877604","https://openalex.org/W2964052347","https://openalex.org/W3098400049","https://openalex.org/W3100921056"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W4390273403","https://openalex.org/W1970611213"],"abstract_inverted_index":{"Nowadays,":[0],"users":[1,30],"open":[2],"multiple":[3,106],"accounts":[4],"on":[5,16,26,109,145],"social":[6],"media":[7],"platforms":[8],"and":[9,38,137,167,182],"e-commerce":[10],"sites,":[11],"expressing":[12],"their":[13],"personal":[14],"preferences":[15,50,59,94,132],"different":[17],"domains.":[18],"However,":[19],"users'":[20,48,58,110,131],"behaviors":[21],"change":[22],"across":[23,95],"domains,":[24,136],"depending":[25],"the":[27,90,101,128,134,152,173,176],"content":[28],"that":[29,55,151,184],"interact":[31],"with,":[32],"such":[33],"as":[34],"movies,":[35],"music,":[36],"clothing":[37],"retail":[39],"products.":[40],"The":[41],"main":[42],"challenge":[43],"is":[44,56,186],"how":[45],"to":[46,63,87,125,190],"capture":[47],"complex":[49],"when":[51],"generating":[52],"cross-domain":[53,102,121,141,147,178],"recommendations,":[54],"exploiting":[57],"from":[60,133],"source":[61,107,135],"domains":[62,96,108],"generate":[64,139],"recommendations":[65],"in":[66,112],"a":[67,75,84,113,120,187],"target":[68,114],"domain.":[69,115],"In":[70,116],"this":[71],"study,":[72],"we":[73,118,171],"propose":[74],"Neural":[76],"Attentive":[77],"Cross-domain":[78],"model,":[79],"namely":[80],"NAC.":[81],"We":[82],"design":[83],"neural":[85],"architecture,":[86],"carefully":[88],"transfer":[89],"knowledge":[91],"of":[92,105,130,175],"user":[93],"by":[97],"taking":[98],"into":[99],"account":[100],"latent":[103],"effects":[104],"selections":[111],"addition,":[117],"introduce":[119],"behavioral":[122,179],"attention":[123,180],"mechanism":[124,181],"adaptively":[126],"perform":[127],"weighting":[129],"consequently":[138],"accurate":[140],"recommendations.":[142],"Our":[143],"experiments":[144],"ten":[146],"recommendation":[148,158],"tasks":[149],"show":[150,183],"proposed":[153,177],"NAC":[154],"model":[155],"achieves":[156],"higher":[157],"accuracy":[159],"than":[160],"other":[161],"state-of-the-art":[162],"methods":[163],"for":[164],"both":[165],"ordinary":[166],"cold-start":[168],"users.":[169],"Furthermore,":[170],"study":[172],"effect":[174],"it":[185],"key":[188],"factor":[189],"our":[191],"model's":[192],"performance.":[193]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
