{"id":"https://openalex.org/W4387849010","doi":"https://doi.org/10.1145/3583780.3615110","title":"Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training","display_name":"Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387849010","doi":"https://doi.org/10.1145/3583780.3615110"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615110","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","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/A5017213607","display_name":"Ziwei Fan","orcid":"https://orcid.org/0000-0001-5445-2203"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ziwei Fan","raw_affiliation_strings":["University of Illinois Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100321247","display_name":"Zhiwei Liu","orcid":"https://orcid.org/0000-0003-1525-1067"},"institutions":[{"id":"https://openalex.org/I4210155268","display_name":"Salesforce (United States)","ror":"https://ror.org/057315g56","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiwei Liu","raw_affiliation_strings":["Salesforce AI Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Salesforce AI Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210155268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063103006","display_name":"Shelby Heinecke","orcid":"https://orcid.org/0000-0002-8831-0753"},"institutions":[{"id":"https://openalex.org/I4210155268","display_name":"Salesforce (United States)","ror":"https://ror.org/057315g56","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shelby Heinecke","raw_affiliation_strings":["Salesforce AI Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Salesforce AI Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210155268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091542195","display_name":"J F Zhang","orcid":"https://orcid.org/0000-0002-0214-6041"},"institutions":[{"id":"https://openalex.org/I4210155268","display_name":"Salesforce (United States)","ror":"https://ror.org/057315g56","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianguo Zhang","raw_affiliation_strings":["Salesforce AI Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Salesforce AI Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210155268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102005866","display_name":"Huan Wang","orcid":"https://orcid.org/0009-0005-1505-0769"},"institutions":[{"id":"https://openalex.org/I4210155268","display_name":"Salesforce (United States)","ror":"https://ror.org/057315g56","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huan Wang","raw_affiliation_strings":["Salesforce AI Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Salesforce AI Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210155268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032046813","display_name":"Caiming Xiong","orcid":"https://orcid.org/0000-0003-0349-8628"},"institutions":[{"id":"https://openalex.org/I4210155268","display_name":"Salesforce (United States)","ror":"https://ror.org/057315g56","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Caiming Xiong","raw_affiliation_strings":["Salesforce AI Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Salesforce AI Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210155268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["University of Illinois Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5017213607"],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":4.077,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.94633374,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"483","last_page":"493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9984999895095825,"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":0.9965000152587891,"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":0.8153948783874512},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6102495789527893},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.584625780582428},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.5319429039955139},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4922153055667877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47895199060440063},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4628317654132843},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4251739978790283},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3266908526420593},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2115030288696289}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8153948783874512},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6102495789527893},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.584625780582428},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.5319429039955139},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4922153055667877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47895199060440063},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4628317654132843},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4251739978790283},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3266908526420593},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2115030288696289},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583780.3615110","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2142201510","display_name":"III: Small: Exploiting the Massive User Generated Utterances for Intent Mining under Scarce Annotations","funder_award_id":"1909323","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3118254216","display_name":"III: Medium: Collaborative Research: An Extensible Heterogeneous Network Embedding Framework with Application Specific Adaptation","funder_award_id":"1763325","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3826598724","display_name":null,"funder_award_id":"III-1763325, III-1909323, III-2106758, SaTC-1930941","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4320322031","display_name":"III: Medium: Collaborative Research: Self-Supervised Recommender System Learning with Application Specific Adaption","funder_award_id":"2106758","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5722720762","display_name":null,"funder_award_id":"III-2106758","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7633400475","display_name":null,"funder_award_id":"III-1763325","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7817793019","display_name":null,"funder_award_id":"III-1909323","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G883900857","display_name":null,"funder_award_id":"SaTC-1930941","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G979281235","display_name":"SaTC: CORE: Small: Collaborative: Learning Dynamic and Robust Defenses Against Co-Adaptive Spammers","funder_award_id":"1930941","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1991418309","https://openalex.org/W2030484290","https://openalex.org/W2142972908","https://openalex.org/W2250342289","https://openalex.org/W2283196293","https://openalex.org/W2734820071","https://openalex.org/W2752782242","https://openalex.org/W2802187397","https://openalex.org/W2891820987","https://openalex.org/W2900229157","https://openalex.org/W2905461678","https://openalex.org/W2906943923","https://openalex.org/W2945827670","https://openalex.org/W2957191877","https://openalex.org/W2964258748","https://openalex.org/W2990816204","https://openalex.org/W2997001386","https://openalex.org/W2997144896","https://openalex.org/W3034844787","https://openalex.org/W3036446966","https://openalex.org/W3037151198","https://openalex.org/W3044893918","https://openalex.org/W3045200674","https://openalex.org/W3080997787","https://openalex.org/W3098003395","https://openalex.org/W3099152386","https://openalex.org/W3100278010","https://openalex.org/W3101157305","https://openalex.org/W3105114834","https://openalex.org/W3105684067","https://openalex.org/W3114654929","https://openalex.org/W3172710079","https://openalex.org/W3174146526","https://openalex.org/W3200686557","https://openalex.org/W3211575234","https://openalex.org/W4212931205","https://openalex.org/W4284674867","https://openalex.org/W4290944002","https://openalex.org/W4293261884","https://openalex.org/W4306317498"],"related_works":["https://openalex.org/W1564680838","https://openalex.org/W2060591604","https://openalex.org/W2003125260","https://openalex.org/W2166791242","https://openalex.org/W3012440055","https://openalex.org/W1934413089","https://openalex.org/W2585162246","https://openalex.org/W1992291644","https://openalex.org/W2098419343","https://openalex.org/W2051178964"],"abstract_inverted_index":{"Existing":[0],"recommender":[1],"systems":[2],"face":[3],"difficulties":[4],"with":[5,15],"zero-shot":[6],"items,":[7],"i.e.":[8],"items":[9],"that":[10,127],"have":[11],"no":[12],"historical":[13],"interactions":[14],"users":[16],"during":[17],"the":[18,35,46,63,100,120,128,146,149],"training":[19],"stage.":[20],"Though":[21],"recent":[22],"works":[23],"extract":[24],"universal":[25],"item":[26,37,64,84],"representation":[27],"via":[28],"pre-trained":[29],"language":[30],"models":[31],"(PLMs),":[32],"they":[33],"ignore":[34],"crucial":[36],"relationships.":[38],"This":[39],"paper":[40,115],"presents":[41],"a":[42,54],"novel":[43,108],"paradigm":[44],"for":[45,72],"Zero-Shot":[47],"Item-based":[48],"Recommendation":[49],"(ZSIR)":[50],"task,":[51],"which":[52,75],"pre-trains":[53],"model":[55,121],"on":[56,122,138],"product":[57],"knowledge":[58],"graph":[59],"(PKG)":[60],"to":[61,94,118,133,144],"refine":[62],"features":[65],"from":[66,92],"PLMs.":[67],"We":[68,98],"identify":[69],"three":[70],"challenges":[71,101],"pre-training":[73,105],"PKG,":[74,80],"are":[76,131,142],"multi-type":[77],"relations":[78,88],"in":[79],"semantic":[81],"divergence":[82],"between":[83],"generic":[85],"information":[86],"and":[87,89,107],"domain":[90],"discrepancy":[91],"PKG":[93],"downstream":[95],"ZSIR":[96,134],"task.":[97,135],"address":[99],"by":[102],"proposing":[103],"four":[104],"tasks":[106],"task-oriented":[109],"adaptation":[110],"(ToA)":[111],"layers.":[112],"Moreover,":[113],"this":[114],"discusses":[116],"how":[117],"fine-tune":[119],"new":[123],"recommendation":[124],"task":[125],"such":[126],"ToA":[129],"layers":[130],"adapted":[132],"Comprehensive":[136],"experiments":[137],"18":[139],"markets":[140],"dataset":[141],"conducted":[143],"verify":[145],"effectiveness":[147],"of":[148],"proposed":[150],"MPKG":[151],"model.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
