{"id":"https://openalex.org/W4306317335","doi":"https://doi.org/10.1145/3511808.3557472","title":"Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation","display_name":"Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317335","doi":"https://doi.org/10.1145/3511808.3557472"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557472","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557472","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557472","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557472","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079632234","display_name":"Jianhuan Zhuo","orcid":"https://orcid.org/0000-0002-0449-6459"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhuan Zhuo","raw_affiliation_strings":["Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087106517","display_name":"Jianxun Lian","orcid":"https://orcid.org/0000-0003-3108-5601"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxun Lian","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054208800","display_name":"Lanling Xu","orcid":"https://orcid.org/0000-0002-7464-3776"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanling Xu","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101640052","display_name":"Ming Gong","orcid":"https://orcid.org/0000-0003-3228-993X"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Gong","raw_affiliation_strings":["Microsoft STC Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft STC Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077262995","display_name":"Linjun Shou","orcid":"https://orcid.org/0000-0002-1050-7708"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linjun Shou","raw_affiliation_strings":["Microsoft STC Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft STC Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060116992","display_name":"Daxin Jiang","orcid":"https://orcid.org/0000-0002-6657-5806"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daxin Jiang","raw_affiliation_strings":["Microsoft STC Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft STC Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044651577","display_name":"Xing Xie","orcid":"https://orcid.org/0000-0002-8608-8482"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Xie","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056000853","display_name":"Yinliang Yue","orcid":"https://orcid.org/0000-0002-8417-2234"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinliang Yue","raw_affiliation_strings":["Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2806","last_page":"2816"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9819999933242798,"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/T10028","display_name":"Topic Modeling","score":0.9286999702453613,"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":0.8108179569244385},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6330554485321045},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5455573797225952},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5396265387535095},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5217698216438293},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5118162035942078},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.48145049810409546},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.44211283326148987},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.43239736557006836},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4134822487831116},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38179564476013184},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.321859747171402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3123648762702942},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10300767421722412},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10264670848846436}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8108179569244385},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6330554485321045},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5455573797225952},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5396265387535095},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5217698216438293},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5118162035942078},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.48145049810409546},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.44211283326148987},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.43239736557006836},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4134822487831116},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38179564476013184},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.321859747171402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3123648762702942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10300767421722412},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10264670848846436},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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:10.1145/3511808.3557472","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557472","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557472","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3511808.3557472","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557472","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557472","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306317335.pdf","grobid_xml":"https://content.openalex.org/works/W4306317335.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W2054141820","https://openalex.org/W2128869159","https://openalex.org/W2295739661","https://openalex.org/W2524611166","https://openalex.org/W2583848727","https://openalex.org/W2605350416","https://openalex.org/W2626454364","https://openalex.org/W2740605635","https://openalex.org/W2792839191","https://openalex.org/W2796608345","https://openalex.org/W2883722483","https://openalex.org/W2897212375","https://openalex.org/W2911778742","https://openalex.org/W2912351665","https://openalex.org/W2912500072","https://openalex.org/W2945623882","https://openalex.org/W2950275995","https://openalex.org/W2955624969","https://openalex.org/W2963367478","https://openalex.org/W2963869731","https://openalex.org/W2966349618","https://openalex.org/W2970641574","https://openalex.org/W2978524555","https://openalex.org/W2982902390","https://openalex.org/W2987219395","https://openalex.org/W2987679642","https://openalex.org/W2998508934","https://openalex.org/W3029587262","https://openalex.org/W3034449195","https://openalex.org/W3034744380","https://openalex.org/W3035635264","https://openalex.org/W3048212149","https://openalex.org/W3098087397","https://openalex.org/W3098400049","https://openalex.org/W3101469547","https://openalex.org/W3102619277","https://openalex.org/W3106439716","https://openalex.org/W3112334685","https://openalex.org/W3128842946","https://openalex.org/W3164255383","https://openalex.org/W3165913101","https://openalex.org/W3206310679","https://openalex.org/W4239969464","https://openalex.org/W4297971002"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W135044020","https://openalex.org/W4376854386"],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"play":[2],"a":[3,86,106,135,149,225],"significant":[4],"role":[5],"in":[6,42,48,174],"online":[7],"services":[8],"and":[9,17,198,228],"have":[10],"attracted":[11],"wide":[12],"attention":[13],"from":[14,116],"both":[15],"academia":[16],"industry.":[18],"In":[19],"this":[20,82],"paper,":[21],"we":[22,84,176],"focus":[23],"on":[24,148],"an":[25],"important,":[26],"practical,":[27],"but":[28],"often":[29],"overlooked":[30],"task:":[31],"domain-level":[32],"zero-shot":[33,121,226],"recommendation":[34],"(DZSR).":[35],"The":[36,95,124],"challenge":[37],"of":[38,45,126,146,159,181,203],"DZSR":[39],"mainly":[40],"lies":[41],"the":[43,49,61,120,129,156,166,178,200],"absence":[44],"collaborative":[46,102,114,189],"behaviors":[47,72],"target":[50,122],"domain,":[51],"which":[52,133],"may":[53],"be":[54,192],"caused":[55],"by":[56],"various":[57],"reasons,":[58],"such":[59],"as":[60],"domain":[62,227],"being":[63,73],"newly":[64],"launched":[65],"without":[66],"existing":[67],"user-item":[68],"interactions,":[69],"or":[70],"users'":[71],"too":[74],"sensitive":[75],"to":[76,99,110,119,183,195,205],"collect":[77],"for":[78,92,209,224],"training.":[79],"To":[80],"address":[81],"challenge,":[83],"propose":[85],"Transferable":[87],"Interest":[88],"Graph":[89],"Embedding":[90],"technique":[91],"Recommendations":[93],"(Tiger).":[94],"key":[96],"idea":[97],"is":[98,128,134],"connect":[100],"isolated":[101],"filtering":[103],"datasets":[104,216],"with":[105,213],"knowledge":[107],"graph":[108,139],"tailored":[109],"recommendations,":[111],"then":[112],"propagate":[113],"signals":[115,190],"public":[117,215],"domains":[118],"domain.":[123],"backbone":[125],"Tiger":[127,219],"transferable":[130],"interest":[131,151,171,186],"extractor,":[132],"simple":[136],"yet":[137],"effective":[138],"convolutional":[140],"network":[141],"(GCN)":[142],"aggregating":[143],"multiple":[144],"hops":[145],"neighbors":[147],"shared":[150],"graph.":[152],"We":[153],"find":[154],"that":[155,188,218],"bottom":[157,179,201],"layers":[158,168,180,202],"GCN":[160,182,204],"preserve":[161],"more":[162],"domain-specific":[163,207],"information":[164,208],"while":[165],"upper":[167],"represent":[169],"universal":[170],"better.":[172],"Thus,":[173],"Tiger,":[175],"discard":[177],"reconstruct":[184],"user":[185],"so":[187],"can":[191,220],"successfully":[193],"propagated":[194],"other":[196],"domains,":[197],"retain":[199],"include":[206],"items.":[210],"Extensive":[211],"experiments":[212],"four":[214],"demonstrate":[217],"effectively":[221],"make":[222],"recommendations":[223],"outperform":[229],"several":[230],"alternative":[231],"baselines.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}