{"id":"https://openalex.org/W4306317699","doi":"https://doi.org/10.1145/3511808.3557601","title":"FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation","display_name":"FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317699","doi":"https://doi.org/10.1145/3511808.3557601"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557601","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557601","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & 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 & 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/A5101614662","display_name":"Hao Qian","orcid":"https://orcid.org/0000-0002-7232-1300"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hao Qian","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010366027","display_name":"Qintong Wu","orcid":"https://orcid.org/0000-0002-5885-3984"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qintong Wu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072609678","display_name":"MingHao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"MingHao Li","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002031940","display_name":"Zhengwei Wu","orcid":"https://orcid.org/0000-0002-3500-5990"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhengwei Wu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346714","display_name":"Zhiqiang Zhang","orcid":"https://orcid.org/0000-0002-6848-4019"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiqiang Zhang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045140292","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-6033-6102"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058735109","display_name":"Lihong Gu","orcid":"https://orcid.org/0000-0002-0706-3448"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lihong Gu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053242349","display_name":"Jinjie Gu","orcid":"https://orcid.org/0000-0001-7596-4945"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinjie Gu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101614662"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17575406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4404","last_page":"4408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9958999752998352,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7001729607582092},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5996953248977661},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5691490769386292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4356389045715332},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12928059697151184}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7001729607582092},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5996953248977661},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5691490769386292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4356389045715332},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12928059697151184},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557601","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557601","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & 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 & Knowledge Management","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":14,"referenced_works":["https://openalex.org/W2158698691","https://openalex.org/W2194775991","https://openalex.org/W2612690371","https://openalex.org/W2723293840","https://openalex.org/W2773640334","https://openalex.org/W2783272285","https://openalex.org/W2896742319","https://openalex.org/W2945772520","https://openalex.org/W2962745591","https://openalex.org/W2984100107","https://openalex.org/W2994850640","https://openalex.org/W3093519337","https://openalex.org/W3106252282","https://openalex.org/W3114904768"],"related_works":["https://openalex.org/W1549289070","https://openalex.org/W1889934247","https://openalex.org/W2371931285","https://openalex.org/W2104995483","https://openalex.org/W2386655577","https://openalex.org/W2366703348","https://openalex.org/W2363925548","https://openalex.org/W1565599962","https://openalex.org/W1576596925","https://openalex.org/W2079632337"],"abstract_inverted_index":{"Modeling":[0],"users'":[1,98],"historical":[2,99],"behaviors":[3,27,100],"is":[4,20,72,110],"an":[5],"essential":[6],"task":[7],"in":[8,17,149],"many":[9],"industrial":[10],"recommender":[11],"systems.":[12],"The":[13],"user":[14,46,135],"interest":[15,47],"representation,":[16],"previous":[18],"works,":[19],"obtained":[21],"through":[22],"the":[23,41,54,59,63,67,86,94,102,115,119,125,154,157],"following":[24],"paradigm:":[25],"concrete":[26],"are":[28,36],"firstly":[29],"embedded":[30],"as":[31],"low-dimensional":[32],"behavior":[33,64,70,89,120],"representations,":[34],"which":[35],"then":[37],"aggregated":[38],"conditioning":[39],"on":[40,53],"target":[42,103],"item":[43],"for":[44],"final":[45],"representation.":[48],"Most":[49],"existing":[50],"researches":[51],"focus":[52],"aggregation":[55],"process":[56],"that":[57,130],"explores":[58],"intrinsic":[60],"structure":[61],"of":[62,69,88,156],"sequences.":[65],"However,":[66],"quality":[68],"representation":[71],"largely":[73],"ignored.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78],"present":[79],"a":[80,106,146],"pluggable":[81],"module,":[82],"FwSeqBlock,":[83],"to":[84,112],"enhance":[85],"expressiveness":[87],"representations.":[90],"Specifically,":[91],"FwSeqBlock":[92,131],"introduces":[93],"multiplicative":[95],"operation":[96],"among":[97],"and":[101,122],"item,":[104],"where":[105],"field":[107],"memory":[108],"unit":[109],"designed":[111],"dynamically":[113],"identify":[114],"dominant":[116],"features":[117],"from":[118],"sequence":[121],"filter":[123],"out":[124],"noise.":[126],"Extensive":[127],"experiments":[128],"validate":[129],"consistently":[132],"generates":[133],"higher-quality":[134],"representations":[136],"compared":[137],"with":[138],"competitive":[139],"methods.":[140],"Besides,":[141],"online":[142],"A/B":[143],"testing":[144],"reports":[145],"4.46%":[147],"improvement":[148],"Click-Through":[150],"Rate":[151],"(CTR),":[152],"confirming":[153],"effectiveness":[155],"proposed":[158],"method.":[159]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}