{"id":"https://openalex.org/W4367046636","doi":"https://doi.org/10.1145/3543507.3583463","title":"Modeling Temporal Positive and Negative Excitation for Sequential Recommendation","display_name":"Modeling Temporal Positive and Negative Excitation for Sequential Recommendation","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4367046636","doi":"https://doi.org/10.1145/3543507.3583463"},"language":"en","primary_location":{"id":"doi:10.1145/3543507.3583463","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},"type":"conference-paper","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/A5077694732","display_name":"Chengkai Huang","orcid":"https://orcid.org/0000-0002-1630-424X"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chengkai Huang","raw_affiliation_strings":["The University of New South Wales, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1630-424X","affiliations":[{"raw_affiliation_string":"The University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082317196","display_name":"Shoujin Wang","orcid":"https://orcid.org/0000-0003-1133-9379"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shoujin Wang","raw_affiliation_strings":["University of Technology Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1133-9379","affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076107706","display_name":"Xianzhi Wang","orcid":"https://orcid.org/0000-0001-9582-3445"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xianzhi Wang","raw_affiliation_strings":["University of Technology Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9582-3445","affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103021890","display_name":"Lina Yao","orcid":"https://orcid.org/0000-0003-2772-0385"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lina Yao","raw_affiliation_strings":["CSIRO's Data 61, Australia and The University of New South Wales, Australia"],"raw_orcid":"https://orcid.org/0000-0003-2772-0385","affiliations":[{"raw_affiliation_string":"CSIRO's Data 61, Australia and The University of New South Wales, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I31746571","https://openalex.org/I42894916"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1252","last_page":"1263"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9919000267982483,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5224065780639648}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5224065780639648}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3543507.3583463","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1500188831","https://openalex.org/W1652763299","https://openalex.org/W2027731328","https://openalex.org/W2069849731","https://openalex.org/W2080320419","https://openalex.org/W2121204026","https://openalex.org/W2171279286","https://openalex.org/W2608239929","https://openalex.org/W2626454364","https://openalex.org/W2739805805","https://openalex.org/W2739901700","https://openalex.org/W2788997749","https://openalex.org/W2896385835","https://openalex.org/W2902040508","https://openalex.org/W2913318000","https://openalex.org/W2953586472","https://openalex.org/W2964044287","https://openalex.org/W2966483207","https://openalex.org/W3033342855","https://openalex.org/W3044893918","https://openalex.org/W3065542300","https://openalex.org/W3100260481","https://openalex.org/W3102619277","https://openalex.org/W3114085555","https://openalex.org/W3133849783","https://openalex.org/W3134624922","https://openalex.org/W3161814095","https://openalex.org/W4285328345","https://openalex.org/W4286742128","https://openalex.org/W4297971002"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Sequential":[0],"recommendation":[1,26,102,126],"aims":[2],"to":[3,94,122],"predict":[4],"the":[5,21,56,73,101,125],"next":[6,66],"item":[7],"which":[8],"interests":[9],"users":[10],"via":[11],"modeling":[12,81,97,112,160],"their":[13],"interest":[14,30,38,88,96,115,121,162,187],"in":[15,31,79,107],"items":[16,33,70],"over":[17],"time.":[18],"Most":[19],"of":[20,45,59,86],"existing":[22,51,75],"works":[23,52],"on":[24,64,68,164,173],"sequential":[25,152],"model":[27],"users\u2019":[28,36],"dynamic":[29,82,120,161,186],"specific":[32],"while":[34,71],"overlooking":[35],"static":[37,42,87,114,184],"revealed":[39],"by":[40],"some":[41],"attribute":[43],"information":[44],"items,":[46],"e.g.,":[47],"category,":[48],"brand.":[49],"Moreover,":[50],"often":[53],"only":[54],"consider":[55],"positive":[57,166],"excitation":[58,91,118,169],"a":[60,131,140],"user\u2019s":[61],"historical":[62],"interactions":[63],"his/her":[65],"choice":[67],"candidate":[69],"ignoring":[72],"commonly":[74],"negative":[76,90,117,168],"excitation,":[77],"resulting":[78],"insufficiently":[80],"interest.":[83],"The":[84],"overlook":[85],"and":[89,98,116,144,167,185,188],"will":[92],"lead":[93],"incomplete":[95],"thus":[99],"impedes":[100],"performance.":[103,127],"To":[104],"this":[105,108],"end,":[106],"paper,":[109],"we":[110,129],"propose":[111],"both":[113,183],"for":[119,150,158],"further":[123],"improve":[124],"Accordingly,":[128],"design":[130],"novel":[132,141],"Static-Dynamic":[133],"Interest":[134],"Learning":[135],"(SDIL)":[136],"framework":[137],"featured":[138],"with":[139],"Temporal":[142],"Positive":[143],"Negative":[145],"Excitation":[146],"Modeling":[147],"(TPNE)":[148],"module":[149],"accurate":[151],"recommendation.":[153],"TPNE":[154],"is":[155],"specially":[156],"designed":[157],"comprehensively":[159],"based":[163],"temporal":[165],"learning.":[170],"Extensive":[171],"experiments":[172],"three":[174],"real-world":[175],"datasets":[176],"show":[177],"that":[178],"SDIL":[179],"can":[180],"effectively":[181],"capture":[182],"outperforms":[189],"state-of-the-art":[190],"baselines.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}