{"id":"https://openalex.org/W3175377664","doi":"https://doi.org/10.1109/icde51399.2021.00208","title":"Sequential Recommendation on Dynamic Heterogeneous Information Network","display_name":"Sequential Recommendation on Dynamic Heterogeneous Information Network","publication_year":2021,"publication_date":"2021-04-01","ids":{"openalex":"https://openalex.org/W3175377664","doi":"https://doi.org/10.1109/icde51399.2021.00208","mag":"3175377664"},"language":"en","primary_location":{"id":"doi:10.1109/icde51399.2021.00208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde51399.2021.00208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 37th International Conference on Data Engineering (ICDE)","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/A5048118068","display_name":"Tao Xie","orcid":"https://orcid.org/0000-0002-6731-216X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Xie","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061014349","display_name":"Yangjun Xu","orcid":"https://orcid.org/0000-0002-9003-7813"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangjun Xu","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100745497","display_name":"Liang Chen","orcid":"https://orcid.org/0000-0003-3706-6479"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Chen","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355835","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-2633-512X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000582109","display_name":"Zibin Zheng","orcid":"https://orcid.org/0000-0002-7878-4330"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zibin Zheng","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048118068"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":3.305,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.92960023,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2105","last_page":"2110"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9922000169754028,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/interpretability","display_name":"Interpretability","score":0.9218140840530396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8645948171615601},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7822709083557129},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.5606477856636047},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5193858742713928},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3800935745239258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3672075867652893},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3666278123855591},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3372125029563904}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9218140840530396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8645948171615601},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7822709083557129},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.5606477856636047},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5193858742713928},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3800935745239258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3672075867652893},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3666278123855591},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3372125029563904},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icde51399.2021.00208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde51399.2021.00208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 37th International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2054141820","https://openalex.org/W2140310134","https://openalex.org/W2171279286","https://openalex.org/W2469952266","https://openalex.org/W2474909202","https://openalex.org/W2605350416","https://openalex.org/W2783272285","https://openalex.org/W2783944588","https://openalex.org/W2900270627","https://openalex.org/W2902040508","https://openalex.org/W2945623882","https://openalex.org/W2945827670","https://openalex.org/W2962992837","https://openalex.org/W2963367478","https://openalex.org/W2964015378","https://openalex.org/W2964296635","https://openalex.org/W2964316331","https://openalex.org/W2966827122","https://openalex.org/W3010338999","https://openalex.org/W3100278010","https://openalex.org/W4299286960","https://openalex.org/W6680830989","https://openalex.org/W6685115820","https://openalex.org/W6692935382","https://openalex.org/W6726873649"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"The":[0],"sequential":[1],"recommendation":[2],"has":[3],"been":[4],"widely":[5],"used":[6],"to":[7,50],"predict":[8],"users'":[9],"preferences":[10],"in":[11],"the":[12,32],"near":[13],"future":[14],"by":[15,60],"utilizing":[16],"their":[17],"dynamic":[18],"interactions":[19,28,39],"with":[20],"items.":[21],"However,":[22],"existing":[23],"methods":[24],"only":[25],"consider":[26],"single-typed":[27],"(e.g.,":[29,40],"purchase),":[30],"ignoring":[31],"rich":[33,58],"heterogeneous":[34],"information":[35,59],"such":[36],"as":[37],"multi-typed":[38],"click,":[41],"purchase)":[42],"and":[43,108],"item":[44],"attributes":[45],"(e.g,":[46],"category),":[47],"which":[48],"leads":[49],"a":[51],"suboptimal":[52],"model.":[53],"We":[54],"can":[55],"integrate":[56],"this":[57],"introducing":[61],"Dynamic":[62],"Heterogeneous":[63,77],"Information":[64],"Networks":[65],"(DHINs).":[66],"Our":[67],"solution":[68],"contains":[69],"three":[70],"special":[71],"designs:":[72],"1)":[73],"Static":[74],"Initialization;":[75],"2)":[76],"User":[78],"Memory":[79],"Network;":[80],"3)":[81],"Two-level":[82],"attention":[83],"mechanism.":[84],"Extensive":[85],"experiments":[86],"conducted":[87],"on":[88],"two":[89],"real-world":[90],"datasets":[91],"show":[92],"that":[93],"our":[94],"model":[95,109],"outperforms":[96],"other":[97],"state-of-the-art":[98],"solutions.":[99],"Furthermore,":[100],"we":[101],"provide":[102],"some":[103],"insights":[104],"into":[105],"parameter":[106],"settings":[107],"interpretability.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
