{"id":"https://openalex.org/W4283700788","doi":"https://doi.org/10.1145/3511808.3557314","title":"Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation","display_name":"Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4283700788","doi":"https://doi.org/10.1145/3511808.3557314"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557314","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557314","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2206.12779","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067015458","display_name":"Jiayan Guo","orcid":"https://orcid.org/0000-0002-7741-1153"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiayan Guo","raw_affiliation_strings":["School of Intelligence Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073382156","display_name":"Peiyan Zhang","orcid":"https://orcid.org/0000-0002-8691-1846"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Peiyan Zhang","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037831162","display_name":"Chaozhuo Li","orcid":"https://orcid.org/0000-0002-9867-1712"},"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":"Chaozhuo Li","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research 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"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456377","display_name":"Yan Zhang","orcid":"https://orcid.org/0000-0003-1585-0801"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zhang","raw_affiliation_strings":["School of Intelligence Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066599821","display_name":"Sung Hun Kim","orcid":"https://orcid.org/0000-0003-4478-9720"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sunghun Kim","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5067015458"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":5.4092,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.96753897,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"624","last_page":"634"},"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/T11478","display_name":"Caching and Content Delivery","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9927999973297119,"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/ode","display_name":"Ode","score":0.7562934160232544},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.7411048412322998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.690536618232727},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48927757143974304},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4705771803855896},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.45935487747192383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42019665241241455},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38159802556037903},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35547834634780884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20053598284721375},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17357900738716125},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14964264631271362},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.11456820368766785}],"concepts":[{"id":"https://openalex.org/C34862557","wikidata":"https://www.wikidata.org/wiki/Q178985","display_name":"Ode","level":2,"score":0.7562934160232544},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.7411048412322998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690536618232727},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48927757143974304},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4705771803855896},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.45935487747192383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42019665241241455},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38159802556037903},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35547834634780884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20053598284721375},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17357900738716125},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14964264631271362},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.11456820368766785}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3511808.3557314","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557314","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"},{"id":"pmh:oai:arXiv.org:2206.12779","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.12779","pdf_url":"https://arxiv.org/pdf/2206.12779","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-123745","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=&rft.volume=&rft.issue=&rft.date=2022&rft.spage=624&rft.aulast=Guo&rft.aufirst=&rft.atitle=Evolutionary+Preference+Learning+via+Graph+Nested+GRU+ODE+for+Session-based+Recommendation&rft.title=International+Conference+on+Information+and+Knowledge+Management%2C+Proceedings","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2206.12779","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.12779","pdf_url":"https://arxiv.org/pdf/2206.12779","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W2157331557","https://openalex.org/W2474909202","https://openalex.org/W2565330852","https://openalex.org/W2586584407","https://openalex.org/W2605350416","https://openalex.org/W2612119519","https://openalex.org/W2767008699","https://openalex.org/W2783272285","https://openalex.org/W2804057010","https://openalex.org/W2809307135","https://openalex.org/W2899457523","https://openalex.org/W2899663614","https://openalex.org/W2902040508","https://openalex.org/W2902940626","https://openalex.org/W2921980263","https://openalex.org/W2945193464","https://openalex.org/W2946725528","https://openalex.org/W2947722222","https://openalex.org/W2949136897","https://openalex.org/W2950898568","https://openalex.org/W2951431594","https://openalex.org/W2952179887","https://openalex.org/W2953586472","https://openalex.org/W2954765895","https://openalex.org/W2958796454","https://openalex.org/W2963669159","https://openalex.org/W2963755523","https://openalex.org/W2964015378","https://openalex.org/W2964044287","https://openalex.org/W2964926209","https://openalex.org/W2965683718","https://openalex.org/W2986385482","https://openalex.org/W2986515219","https://openalex.org/W2989915885","https://openalex.org/W2995056525","https://openalex.org/W2996931760","https://openalex.org/W2998313947","https://openalex.org/W3021402147","https://openalex.org/W3034295120","https://openalex.org/W3034329572","https://openalex.org/W3080292067","https://openalex.org/W3080690551","https://openalex.org/W3093800735","https://openalex.org/W3098011980","https://openalex.org/W3098168339","https://openalex.org/W3101201690","https://openalex.org/W3101588560","https://openalex.org/W3101707147","https://openalex.org/W3106433415","https://openalex.org/W3108832690","https://openalex.org/W3122507327","https://openalex.org/W3134624922","https://openalex.org/W3156994078","https://openalex.org/W3166827814","https://openalex.org/W3170848208","https://openalex.org/W3173365306","https://openalex.org/W3175424701","https://openalex.org/W3176749666","https://openalex.org/W3194908853","https://openalex.org/W3208747044","https://openalex.org/W3209048663","https://openalex.org/W3209767317","https://openalex.org/W3213484722","https://openalex.org/W4213298164","https://openalex.org/W4226040828","https://openalex.org/W4231063609","https://openalex.org/W4287025196","https://openalex.org/W4299286960","https://openalex.org/W4310228395","https://openalex.org/W4321485796","https://openalex.org/W4394051436","https://openalex.org/W4394643672","https://openalex.org/W4399374696"],"related_works":["https://openalex.org/W2371448224","https://openalex.org/W3134495997","https://openalex.org/W2363680170","https://openalex.org/W2376428685","https://openalex.org/W4256082577","https://openalex.org/W625783435","https://openalex.org/W2048742619","https://openalex.org/W2384641672","https://openalex.org/W2742179975","https://openalex.org/W1657011257"],"abstract_inverted_index":{"Session-based":[0],"recommendation":[1],"(SBR)":[2],"aims":[3],"to":[4,28,97,143,155],"predict":[5],"the":[6,12,24,30,39,50,63,92,106,127,144,157,162],"user's":[7],"next":[8],"action":[9],"based":[10],"on":[11,171],"ongoing":[13],"sessions.":[14],"Recently,":[15],"there":[16],"has":[17],"been":[18],"an":[19],"increasing":[20],"interest":[21],"in":[22,54,69],"modeling":[23],"user":[25,32,36,111],"preference":[26,65],"evolution":[27,66],"capture":[29],"fine-grained":[31,64],"interests.":[33],"While":[34],"latent":[35],"preferences":[37],"behind":[38],"sessions":[40],"drift":[41],"continuously":[42],"over":[43],"time,":[44],"most":[45],"existing":[46,128],"approaches":[47],"still":[48],"model":[49,89,104],"temporal":[51,99,115,163],"session":[52,100,164],"data":[53],"discrete":[55],"state":[56],"spaces,":[57],"which":[58],"are":[59],"incapable":[60],"of":[61,94,109,119,161],"capturing":[62],"and":[67,116,137],"result":[68],"sub-optimal":[70],"solutions.":[71],"To":[72],"this":[73],"end,":[74],"we":[75,147],"propose":[76,148],"Graph":[77],"Nested":[78],"GRU":[79],"ordinary":[80],"differential":[81],"equation":[82],"(ODE),":[83],"namely":[84],"GNG-ODE,":[85],"a":[86,149,167],"novel":[87],"continuum":[88],"that":[90,176],"extends":[91],"idea":[93],"neural":[95],"ODEs":[96],"continuous-time":[98,123],"graphs.":[101],"The":[102],"proposed":[103],"preserves":[105],"continuous":[107],"nature":[108],"dynamic":[110,124,145],"preferences,":[112],"encoding":[113],"both":[114],"structural":[117],"patterns":[118],"item":[120],"transitions":[121],"into":[122],"embeddings.":[125],"As":[126],"ODE":[129],"solvers":[130],"do":[131],"not":[132],"consider":[133],"graph":[134],"structure":[135],"change":[136],"thus":[138],"cannot":[139],"be":[140],"directly":[141],"applied":[142],"graph,":[146],"time":[150,159],"alignment":[151],"technique,":[152],"called":[153],"t-Alignment,":[154],"align":[156],"updating":[158],"steps":[160],"graphs":[165],"within":[166],"batch.":[168],"Empirical":[169],"results":[170],"three":[172],"benchmark":[173],"datasets":[174],"show":[175],"GNG-ODE":[177],"significantly":[178],"outperforms":[179],"other":[180],"baselines.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":15}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2022-06-30T00:00:00"}
