{"id":"https://openalex.org/W2996891863","doi":"https://doi.org/10.1145/3336191.3371793","title":"DDTCDR","display_name":"DDTCDR","publication_year":2020,"publication_date":"2020-01-20","ids":{"openalex":"https://openalex.org/W2996891863","doi":"https://doi.org/10.1145/3336191.3371793","mag":"2996891863"},"language":"en","primary_location":{"id":"doi:10.1145/3336191.3371793","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3371793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","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/A5100455171","display_name":"Pan Li","orcid":"https://orcid.org/0000-0001-6522-2446"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pan Li","raw_affiliation_strings":["New York University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016384155","display_name":"Alexander Tuzhilin","orcid":"https://orcid.org/0000-0003-3354-8462"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Tuzhilin","raw_affiliation_strings":["New York University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100455171"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":37.8293,"has_fulltext":false,"cited_by_count":259,"citation_normalized_percentile":{"value":0.99761447,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"331","last_page":"339"},"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/T10028","display_name":"Topic Modeling","score":0.9818000197410583,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9800999760627747,"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/computer-science","display_name":"Computer science","score":0.8299456834793091},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8217465877532959},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7082597017288208},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6438735723495483},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6394836902618408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5974154472351074},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5368538498878479},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5282356142997742},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5074872374534607},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4942913055419922},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45241308212280273},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4352668523788452},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4228658080101013},{"id":"https://openalex.org/keywords/iterative-and-incremental-development","display_name":"Iterative and incremental development","score":0.4150893986225128},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07202821969985962}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8299456834793091},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8217465877532959},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7082597017288208},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6438735723495483},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6394836902618408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5974154472351074},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5368538498878479},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5282356142997742},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5074872374534607},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4942913055419922},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45241308212280273},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4352668523788452},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4228658080101013},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.4150893986225128},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07202821969985962},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3336191.3371793","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3371793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W24761630","https://openalex.org/W163868085","https://openalex.org/W1720514416","https://openalex.org/W2042281163","https://openalex.org/W2054141820","https://openalex.org/W2071018795","https://openalex.org/W2079017450","https://openalex.org/W2096943734","https://openalex.org/W2117420919","https://openalex.org/W2118674552","https://openalex.org/W2132538571","https://openalex.org/W2143374704","https://openalex.org/W2157881433","https://openalex.org/W2158515176","https://openalex.org/W2161047120","https://openalex.org/W2165698076","https://openalex.org/W2171960770","https://openalex.org/W2253995343","https://openalex.org/W2293981264","https://openalex.org/W2398879410","https://openalex.org/W2405459681","https://openalex.org/W2546938941","https://openalex.org/W2605350416","https://openalex.org/W2610815847","https://openalex.org/W2612388534","https://openalex.org/W2725606191","https://openalex.org/W2739273093","https://openalex.org/W2767757834","https://openalex.org/W2782259251","https://openalex.org/W2796335507","https://openalex.org/W2796608345","https://openalex.org/W2908054697","https://openalex.org/W2949888546","https://openalex.org/W2963085847","https://openalex.org/W2970587220","https://openalex.org/W2973142485","https://openalex.org/W3098400049","https://openalex.org/W3122507327","https://openalex.org/W3143596294","https://openalex.org/W4288083766"],"related_works":["https://openalex.org/W2970845521","https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644","https://openalex.org/W4389832810","https://openalex.org/W4220682630","https://openalex.org/W3181622257"],"abstract_inverted_index":{"Cross":[0,135],"domain":[1],"recommender":[2],"systems":[3],"have":[4],"been":[5],"increasingly":[6],"valuable":[7],"for":[8,55],"helping":[9],"consumers":[10],"identify":[11],"the":[12,74,91,124,148],"most":[13],"satisfying":[14],"items":[15,163],"from":[16],"different":[17,115],"categories.":[18],"However,":[19],"previously":[20],"proposed":[21,149],"cross-domain":[22,70],"models":[23],"did":[24],"not":[25,40],"take":[26],"into":[27],"account":[28],"bidirectional":[29],"latent":[30,99,116,125],"relations":[31,111],"between":[32,82,112],"users":[33,113],"and":[34,46,161,164,169,175],"items.":[35],"In":[36],"addition,":[37],"they":[38],"do":[39],"explicitly":[41],"model":[42,139],"information":[43,54,81],"of":[44,76,127,158],"user":[45,52,104],"item":[47],"features,":[48],"while":[49,109],"utilizing":[50],"only":[51],"ratings":[53],"recommendations.":[56],"To":[57],"address":[58],"these":[59],"concerns,":[60],"in":[61,86,143],"this":[62],"paper":[63],"we":[64,130],"propose":[65,131],"a":[66,97,152],"novel":[67,98],"approach":[68,121],"to":[69,102,122,140],"recommendations":[71,142],"based":[72],"on":[73,151],"mechanism":[75],"dual":[77],"learning":[78,92,179],"that":[79,166],"transfers":[80],"two":[83],"related":[84],"domains":[85,108,157],"an":[87],"iterative":[88],"manner":[89],"until":[90],"process":[93],"stabilizes.":[94],"We":[95,146],"develop":[96],"orthogonal":[100],"mapping":[101],"extract":[103,123],"preferences":[105],"over":[106],"multiple":[107],"preserving":[110],"across":[114],"spaces.":[117],"Combining":[118],"with":[119],"autoencoder":[120],"essence":[126],"feature":[128],"information,":[129],"Deep":[132],"Dual":[133],"Transfer":[134],"Domain":[136],"Recommendation":[137],"(DDTCDR)":[138],"provide":[141],"respective":[144],"domains.":[145],"test":[147],"method":[150],"large":[153],"dataset":[154],"containing":[155],"three":[156],"movies,":[159],"book":[160],"music":[162],"demonstrate":[165],"it":[167],"consistently":[168],"significantly":[170],"outperforms":[171],"several":[172],"state-of-the-art":[173],"baselines":[174],"also":[176],"classical":[177],"transfer":[178],"approaches.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":52},{"year":2024,"cited_by_count":61},{"year":2023,"cited_by_count":53},{"year":2022,"cited_by_count":37},{"year":2021,"cited_by_count":37},{"year":2020,"cited_by_count":9},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2020-01-10T00:00:00"}