{"id":"https://openalex.org/W4384649125","doi":"https://doi.org/10.1145/3539618.3591779","title":"Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation","display_name":"Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation","publication_year":2023,"publication_date":"2023-07-18","ids":{"openalex":"https://openalex.org/W4384649125","doi":"https://doi.org/10.1145/3539618.3591779"},"language":"en","primary_location":{"id":"doi:10.1145/3539618.3591779","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591779","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5022905969","display_name":"Jiahao Liu","orcid":"https://orcid.org/0000-0002-5654-5902"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiahao Liu","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440920","display_name":"Dongsheng Li","orcid":"https://orcid.org/0000-0003-3103-8442"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Li","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071156485","display_name":"Hansu Gu","orcid":"https://orcid.org/0000-0002-1426-3210"},"institutions":[{"id":"https://openalex.org/I2802723755","display_name":"Independent Sector","ror":"https://ror.org/05vhwqa91","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2802723755"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hansu Gu","raw_affiliation_strings":["Independent, Seattle, USA"],"affiliations":[{"raw_affiliation_string":"Independent, Seattle, USA","institution_ids":["https://openalex.org/I2802723755","https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004237040","display_name":"Tun Lu","orcid":"https://orcid.org/0000-0002-6633-4826"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tun Lu","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364191","display_name":"Peng Zhang","orcid":"https://orcid.org/0000-0002-9109-4625"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004722925","display_name":"Li Shang","orcid":"https://orcid.org/0000-0003-3944-7531"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Shang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091087409","display_name":"Ning Gu","orcid":"https://orcid.org/0000-0002-2915-974X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Gu","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5022905969"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":4.1098,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.94516939,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1086","last_page":"1095"},"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":0.998199999332428,"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":0.9740999937057495,"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":0.8027054071426392},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7037686109542847},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6405020952224731},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5898923873901367},{"id":"https://openalex.org/keywords/interactivity","display_name":"Interactivity","score":0.5464940071105957},{"id":"https://openalex.org/keywords/interaction-information","display_name":"Interaction information","score":0.5170753598213196},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.49236929416656494},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4860411286354065},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4714024066925049},{"id":"https://openalex.org/keywords/information-filtering-system","display_name":"Information filtering system","score":0.4701181650161743},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4336155951023102},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3998434543609619},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34040960669517517},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3351230323314667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3228546977043152},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11417719721794128}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027054071426392},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7037686109542847},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6405020952224731},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5898923873901367},{"id":"https://openalex.org/C144430266","wikidata":"https://www.wikidata.org/wiki/Q839721","display_name":"Interactivity","level":2,"score":0.5464940071105957},{"id":"https://openalex.org/C38764148","wikidata":"https://www.wikidata.org/wiki/Q17098245","display_name":"Interaction information","level":2,"score":0.5170753598213196},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.49236929416656494},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4860411286354065},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4714024066925049},{"id":"https://openalex.org/C178674793","wikidata":"https://www.wikidata.org/wiki/Q6031077","display_name":"Information filtering system","level":2,"score":0.4701181650161743},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4336155951023102},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3998434543609619},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34040960669517517},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3351230323314667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3228546977043152},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11417719721794128},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3539618.3591779","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591779","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4637164411","display_name":null,"funder_award_id":"61932007, 62172106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1966553486","https://openalex.org/W2042281163","https://openalex.org/W2046974451","https://openalex.org/W2054141820","https://openalex.org/W2583674722","https://openalex.org/W2739805805","https://openalex.org/W2767597557","https://openalex.org/W2773640334","https://openalex.org/W2783272285","https://openalex.org/W2798918712","https://openalex.org/W2808908091","https://openalex.org/W2963367478","https://openalex.org/W2965683718","https://openalex.org/W2999905431","https://openalex.org/W3012588100","https://openalex.org/W3019863187","https://openalex.org/W3026076535","https://openalex.org/W3045200674","https://openalex.org/W3094559936","https://openalex.org/W3129178271","https://openalex.org/W3156926010","https://openalex.org/W3157020699","https://openalex.org/W3203585941","https://openalex.org/W3210512903","https://openalex.org/W3211009588","https://openalex.org/W4213091601","https://openalex.org/W4220779330","https://openalex.org/W4224314868","https://openalex.org/W4240805545","https://openalex.org/W4297971002","https://openalex.org/W6741729866"],"related_works":["https://openalex.org/W3113280893","https://openalex.org/W197922276","https://openalex.org/W2396388630","https://openalex.org/W2115577985","https://openalex.org/W2366829484","https://openalex.org/W1975413540","https://openalex.org/W2002205901","https://openalex.org/W2943460145","https://openalex.org/W2587818485","https://openalex.org/W1556309647"],"abstract_inverted_index":{"In":[0],"dynamic":[1,65,74],"interaction":[2,66],"graphs,":[3],"user-item":[4,17,85],"interactions":[5,23,107],"usually":[6],"follow":[7],"heterogeneous":[8],"patterns,":[9],"represented":[10],"by":[11,90],"different":[12],"structural":[13,40,54,133],"information,":[14,41],"such":[15],"as":[16],"co-occurrence,":[18],"sequential":[19,103],"information":[20,55,83,104,134,200],"of":[21,28,71,105,122,165,210],"user":[22,106],"and":[24,61,109,111,149,187,215],"the":[25,32,119,128,131,138,144,147,150,163,175,199,208],"transition":[26,115,120],"probabilities":[27,121],"item":[29,114,123],"pairs.":[30,124],"However,":[31],"existing":[33],"methods":[34],"cannot":[35],"simultaneously":[36],"leverage":[37],"all":[38],"three":[39],"resulting":[42],"in":[43,84,179,212],"suboptimal":[44],"performance.":[45],"To":[46],"this":[47],"end,":[48],"we":[49,126,160],"propose":[50],"\u00f8urs,":[51],"a":[52,73,97],"triple":[53,132],"modeling":[56],"method":[57],"for":[58,193],"accurate,":[59],"explainable":[60,186],"interactive":[62,188],"recommendation":[63,140],"on":[64,203],"graphs.":[67],"Specifically,":[68],"\u00f8urs":[69,180,211],"consists":[70],"1)":[72],"ideal":[75,169],"low-pass":[76,170],"graph":[77,153,171],"filter":[78],"to":[79,101,117,136,184,195],"dynamically":[80],"mine":[81],"co-occurrence":[82],"interactions,":[86],"which":[87],"is":[88,167],"implemented":[89],"incremental":[91],"singular":[92],"value":[93],"ecomposition":[94],"(SVD);":[95],"2)":[96],"parameter-free":[98],"attention":[99],"module":[100],"capture":[102],"effectively":[108],"efficiently;":[110],"3)":[112],"an":[113,168],"matrix":[116],"store":[118],"Then,":[125],"fuse":[127],"predictions":[129],"from":[130],"sources":[135],"obtain":[137],"final":[139],"results.":[141],"By":[142],"analyzing":[143],"relationship":[145],"between":[146],"SVD-based":[148],"recently":[151],"emerging":[152],"signal":[154],"processing":[155],"(GSP)-based":[156],"collaborative":[157],"filtering":[158],"methods,":[159],"find":[161],"that":[162,174],"essence":[164],"SVD":[166],"filter,":[172],"so":[173],"interest":[176],"vector":[177],"space":[178],"can":[181],"be":[182],"extended":[183],"achieve":[185],"recommendation,":[189],"making":[190],"it":[191],"possible":[192],"users":[194],"actively":[196],"break":[197],"through":[198],"cocoons.":[201],"Experiments":[202],"six":[204],"public":[205],"datasets":[206],"demonstrated":[207],"effectiveness":[209],"accuracy,":[213],"explainability":[214],"interactivity.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}