{"id":"https://openalex.org/W4306317015","doi":"https://doi.org/10.1145/3511808.3557482","title":"Two-Level Graph Path Reasoning for Conversational Recommendation with User Realistic Preference","display_name":"Two-Level Graph Path Reasoning for Conversational Recommendation with User Realistic Preference","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317015","doi":"https://doi.org/10.1145/3511808.3557482"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557482","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557482","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; 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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information &amp; 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/A5034287644","display_name":"Rongmei Zhao","orcid":"https://orcid.org/0000-0002-7078-060X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongmei Zhao","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042930315","display_name":"Shenggen Ju","orcid":"https://orcid.org/0000-0003-3730-0755"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenggen Ju","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042094611","display_name":"Jian Peng","orcid":"https://orcid.org/0000-0002-2638-8862"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Peng","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100686906","display_name":"Ning Yang","orcid":"https://orcid.org/0000-0002-2265-3155"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Yang","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041028716","display_name":"Fanli Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanli Yan","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102014331","display_name":"Siyu Sun","orcid":"https://orcid.org/0009-0003-0861-8788"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Sun","raw_affiliation_strings":["School of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8733,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76251072,"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":"2701","last_page":"2710"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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":0.9976000189781189,"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":0.9945999979972839,"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":0.8349849581718445},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7313998937606812},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.6907438635826111},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5777294039726257},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5224948525428772},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5186100006103516},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.48237934708595276},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.4647497534751892},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.42251652479171753},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4019046425819397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3981130123138428},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3949764668941498},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33640938997268677},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.25042304396629333},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.2496853470802307}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8349849581718445},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7313998937606812},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.6907438635826111},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5777294039726257},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5224948525428772},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5186100006103516},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.48237934708595276},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.4647497534751892},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.42251652479171753},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4019046425819397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3981130123138428},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3949764668941498},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33640938997268677},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25042304396629333},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.2496853470802307},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557482","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557482","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; 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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.41999998688697815,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2295739661","https://openalex.org/W2349436533","https://openalex.org/W2809617427","https://openalex.org/W2897182555","https://openalex.org/W2898076813","https://openalex.org/W2949395487","https://openalex.org/W2950275995","https://openalex.org/W2963068985","https://openalex.org/W2966349618","https://openalex.org/W2972160336","https://openalex.org/W2978123365","https://openalex.org/W2996754069","https://openalex.org/W2997662139","https://openalex.org/W3012807747","https://openalex.org/W3014901735","https://openalex.org/W3021703952","https://openalex.org/W3031596603","https://openalex.org/W3038439974","https://openalex.org/W3099865390","https://openalex.org/W3100790518","https://openalex.org/W3116062118","https://openalex.org/W3129514843","https://openalex.org/W3138122483","https://openalex.org/W3151176737","https://openalex.org/W3164255383","https://openalex.org/W3177023213","https://openalex.org/W3195061894","https://openalex.org/W3197381498","https://openalex.org/W3209819844","https://openalex.org/W4205132462","https://openalex.org/W4212975546","https://openalex.org/W6602646189"],"related_works":["https://openalex.org/W2348159088","https://openalex.org/W2402445420","https://openalex.org/W1773619406","https://openalex.org/W2377968345","https://openalex.org/W2075040002","https://openalex.org/W751930198","https://openalex.org/W2126026531","https://openalex.org/W33799774","https://openalex.org/W3176807043","https://openalex.org/W1991014796"],"abstract_inverted_index":{"Conversational":[0],"recommender":[1,17],"systems":[2],"model":[3],"user":[4,61,76,106,168,176,195],"dynamic":[5,77,169],"preferences":[6,63,83,108,170,197],"and":[7,151,171,189,224,245],"recommend":[8,226],"items":[9,52,150,193,227],"based":[10],"on":[11,202,233],"multi-turn":[12,130,208],"interactions.":[13,165],"Though":[14],"the":[15,28,44,47,54,60,67,105,118,159,162,175,186,192,199,207,221,247],"conversational":[16,139],"system":[18],"has":[19,24],"achieved":[20],"good":[21],"performance,":[22],"it":[23,70],"two":[25,234],"limitations.":[26],"On":[27,66],"one":[29],"hand,":[30,69],"researchers":[31],"usually":[32],"random":[33],"select":[34],"an":[35],"anchor":[36],"item":[37],"from":[38],"user's":[39,103,163],"historical":[40,55,164],"interactions":[41,56],"to":[42,75,87,113,148,157,219,228],"simulate":[43],"interaction":[45],"with":[46,129],"real":[48],"user,":[49],"but":[50,79],"some":[51,81],"in":[53,102,161,185,198],"do":[57],"not":[58],"fit":[59,194],"realistic":[62],"(item":[64],"noise).":[65],"other":[68],"pays":[71],"too":[72],"much":[73],"attention":[74],"preferences,":[78,179],"nurses":[80],"static":[82,107,178,196],"that":[84,124,238],"are":[85,155],"difficult":[86],"change":[88],"over":[89],"a":[90,121,144,203,214],"short":[91],"period.":[92],"In":[93,142,206],"fact,":[94],"when":[95],"there":[96],"is":[97,132,146,217],"no":[98],"explicit":[99],"attribute":[100],"preference":[101],"conversation,":[104],"can":[109,240],"also":[110],"be":[111],"used":[112,218],"make":[114],"recommendations.":[115],"To":[116,166],"address":[117],"aforementioned":[119],"issues,":[120],"novel":[122],"method":[123],"combines":[125],"graph":[126,211],"path":[127,212,223,250],"reasoning":[128,137,188,201],"conversation":[131],"proposed,":[133],"called":[134],"Graph":[135],"Path":[136],"for":[138],"Recommendation":[140],"(GPR).":[141],"GPR,":[143],"soft-clustering":[145],"designed":[147],"classify":[149],"then":[152],"set":[153],"operations":[154],"utilized":[156],"filter":[158],"noise":[160],"capture":[167],"take":[172],"account":[173],"of":[174,209,249],"inherent":[177],"GPR":[180,239],"asks":[181,190],"questions":[182],"about":[183],"attributes":[184],"attribute-level":[187],"whether":[191],"item-level":[200],"heterogeneous":[204],"graph.":[205],"two-level":[210],"reasoning,":[213],"reinforcement":[215],"learning":[216],"obtain":[220],"optimal":[222],"accurately":[225],"users.":[229],"Extensive":[230],"experiments":[231],"conducted":[232],"benchmark":[235],"datasets":[236],"verify":[237],"significantly":[241],"improve":[242],"recommendation":[243],"performance":[244],"reduce":[246],"turn":[248],"reasoning.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
