{"id":"https://openalex.org/W4386392742","doi":"https://doi.org/10.1145/3618298","title":"Contrastive Graph Prompt-tuning for Cross-domain Recommendation","display_name":"Contrastive Graph Prompt-tuning for Cross-domain Recommendation","publication_year":2023,"publication_date":"2023-09-02","ids":{"openalex":"https://openalex.org/W4386392742","doi":"https://doi.org/10.1145/3618298"},"language":"en","primary_location":{"id":"doi:10.1145/3618298","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3618298","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000225198","display_name":"Zixuan Yi","orcid":"https://orcid.org/0000-0002-7752-8650"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Zixuan Yi","raw_affiliation_strings":["University of Glasgow, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079046603","display_name":"Iadh Ounis","orcid":"https://orcid.org/0000-0003-4701-3223"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Iadh Ounis","raw_affiliation_strings":["University of Glasgow, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057643560","display_name":"Craig Macdonald","orcid":"https://orcid.org/0000-0003-3143-279X"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Craig MacDonald","raw_affiliation_strings":["University of Glasgow, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000225198"],"corresponding_institution_ids":["https://openalex.org/I7882870"],"apc_list":null,"apc_paid":null,"fwci":11.2884,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.98427786,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"42","issue":"2","first_page":"1","last_page":"28"},"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":0.9919000267982483,"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":0.9681000113487244,"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":0.9153507947921753},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6562724113464355},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.59552401304245},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5821839570999146},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5581917762756348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.525052547454834},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5237167477607727},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.41184112429618835},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.41110071539878845},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33513176441192627},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1811562180519104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9153507947921753},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6562724113464355},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.59552401304245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5821839570999146},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5581917762756348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.525052547454834},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5237167477607727},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.41184112429618835},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.41110071539878845},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33513176441192627},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1811562180519104},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace 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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3618298","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3618298","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:eprints.gla.ac.uk:305806","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Articles"}],"best_oa_location":{"id":"pmh:oai:eprints.gla.ac.uk:305806","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Articles"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1486317198","https://openalex.org/W2037698344","https://openalex.org/W2069870183","https://openalex.org/W2286976514","https://openalex.org/W2346012632","https://openalex.org/W2400248106","https://openalex.org/W2605350416","https://openalex.org/W2740605635","https://openalex.org/W2945827670","https://openalex.org/W2984100107","https://openalex.org/W2986176093","https://openalex.org/W3016532607","https://openalex.org/W3036446966","https://openalex.org/W3044438666","https://openalex.org/W3045200674","https://openalex.org/W3087008496","https://openalex.org/W3094605801","https://openalex.org/W3096331697","https://openalex.org/W3098267758","https://openalex.org/W3099152386","https://openalex.org/W3100278010","https://openalex.org/W3132008141","https://openalex.org/W3136606064","https://openalex.org/W3153325943","https://openalex.org/W3181082414","https://openalex.org/W3185341429","https://openalex.org/W3190386329","https://openalex.org/W3195554589","https://openalex.org/W3205270560","https://openalex.org/W4224330883","https://openalex.org/W4280586754","https://openalex.org/W4297808394","https://openalex.org/W4379382506","https://openalex.org/W6770831326","https://openalex.org/W6790400022","https://openalex.org/W6910730993"],"related_works":["https://openalex.org/W2497939785","https://openalex.org/W2219931199","https://openalex.org/W2735929803","https://openalex.org/W2971083348","https://openalex.org/W584290403","https://openalex.org/W3214288750","https://openalex.org/W2786642545","https://openalex.org/W2084560547","https://openalex.org/W4315783862","https://openalex.org/W2146665816"],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"commonly":[2],"suffer":[3],"from":[4,137],"the":[5,16,46,89,92,105,108,114,134,157,170,179,191,207,238,253],"long-standing":[6],"data":[7,14],"sparsity":[8],"problem":[9,24],"where":[10],"insufficient":[11],"user-item":[12],"interaction":[13],"limits":[15],"systems\u2019":[17],"ability":[18],"to":[19,64,103,154,168,173,183,235,252],"make":[20],"accurate":[21],"recommendations.":[22],"This":[23],"can":[25,232],"be":[26],"alleviated":[27],"using":[28,71],"cross-domain":[29,36,51,115,199],"recommendation":[30,52,116,210],"techniques.":[31],"In":[32,75,139,162],"particular,":[33,163],"in":[34,118,178,197,256],"a":[35,55,65,97,124,141,198,214,242,257],"setting,":[37,200],"knowledge":[38],"sharing":[39],"between":[40],"domains":[41],"permits":[42,102],"improved":[43,249],"effectiveness":[44,192],"on":[45,91,151,221],"target":[47],"domain.":[48],"While":[49],"recent":[50,76],"techniques":[53,62],"used":[54,82],"pre-training":[56,180],"configuration,":[57],"we":[58,122,143,164,201],"argue":[59],"that":[60,101,227],"such":[61,140],"lead":[63],"low":[66],"fine-tuning":[67],"efficiency,":[68],"especially":[69],"when":[70],"large":[72],"neural":[73],"models.":[74],"language":[77,109],"models,":[78],"prompts":[79,95,149],"have":[80],"been":[81],"for":[83],"parameter-efficient":[84],"and":[85,146,182,212,245],"time-efficient":[86],"tuning":[87],"of":[88,107,193,237],"models":[90],"downstream":[93],"tasks\u2014these":[94],"represent":[96],"tunable":[98],"latent":[99],"vector":[100],"freeze":[104],"rest":[106],"model\u2019s":[110],"parameters.":[111],"To":[112,189],"address":[113],"task":[117,211],"an":[119,175,185,203,247],"efficient":[120],"manner,":[121],"propose":[123],"novel":[125],"Personalised":[126],"Graph":[127],"Prompt-based":[128],"Recommendation":[129],"(PGPRec)":[130],"framework,":[131,142],"which":[132],"leverages":[133],"efficiency":[135],"benefits":[136],"prompt-tuning.":[138],"develop":[144],"personalised":[145],"item-wise":[147],"graph":[148],"based":[150],"relevant":[152],"items":[153,156],"those":[155],"user":[158],"has":[159],"interacted":[160],"with.":[161],"apply":[165],"Contrastive":[166],"Learning":[167],"generate":[169],"pre-trained":[171],"embeddings,":[172],"allow":[174],"increased":[176],"generalisability":[177],"stage,":[181],"ensure":[184],"effective":[186],"prompt-tuning":[187],"stage.":[188],"evaluate":[190],"our":[194,228],"PGPRec":[195,230],"framework":[196,231],"conduct":[202],"extensive":[204],"evaluation":[205],"with":[206,241],"top-":[208],"k":[209],"perform":[213],"cold-start":[215,258],"analysis.":[216],"The":[217],"obtained":[218],"empirical":[219],"results":[220],"four":[222],"Amazon":[223],"Review":[224],"datasets":[225],"show":[226],"proposed":[229],"reduce":[233],"up":[234],"74%":[236],"tuned":[239],"parameters":[240],"competitive":[243],"performance":[244,250],"achieves":[246],"11.41%":[248],"compared":[251],"strongest":[254],"baseline":[255],"scenario.":[259]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
