{"id":"https://openalex.org/W4403577345","doi":"https://doi.org/10.1145/3627673.3679615","title":"HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations","display_name":"HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403577345","doi":"https://doi.org/10.1145/3627673.3679615"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679615","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and 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/A5040803163","display_name":"Jingtong Gao","orcid":"https://orcid.org/0000-0002-4470-5972"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Jingtong Gao","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427434","display_name":"Bo Chen","orcid":"https://orcid.org/0000-0003-3750-2533"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Chen","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034417837","display_name":"Menghui Zhu","orcid":"https://orcid.org/0000-0002-8567-2185"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Menghui Zhu","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645854","display_name":"Xiangyu Zhao","orcid":"https://orcid.org/0000-0003-2926-4416"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiangyu Zhao","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355099","display_name":"Xiaopeng Li","orcid":"https://orcid.org/0009-0008-6162-8500"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaopeng Li","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043861652","display_name":"Yuhao Wang","orcid":"https://orcid.org/0000-0002-6051-8659"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]},{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yuhao Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong","Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042180831","display_name":"Yichao Wang","orcid":"https://orcid.org/0000-0001-7053-8269"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yichao Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong","Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019541869","display_name":"Huifeng Guo","orcid":"https://orcid.org/0000-0002-7393-8994"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifeng Guo","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054330014","display_name":"Ruiming Tang","orcid":"https://orcid.org/0000-0002-9224-2431"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiming Tang","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5040803163"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":5.6994,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.96212203,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"653","last_page":"662"},"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/T10028","display_name":"Topic Modeling","score":0.992900013923645,"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/T11106","display_name":"Data Management and Algorithms","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7499512434005737}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7499512434005737}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679615","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and 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":33,"referenced_works":["https://openalex.org/W2090883204","https://openalex.org/W2194775991","https://openalex.org/W2295739661","https://openalex.org/W2512971201","https://openalex.org/W2946044191","https://openalex.org/W2962989965","https://openalex.org/W2963163009","https://openalex.org/W2966123616","https://openalex.org/W3012950066","https://openalex.org/W3081190557","https://openalex.org/W3087931390","https://openalex.org/W3093907268","https://openalex.org/W3104789011","https://openalex.org/W3121555120","https://openalex.org/W3164006073","https://openalex.org/W3171874185","https://openalex.org/W3206992626","https://openalex.org/W3208543775","https://openalex.org/W3209943551","https://openalex.org/W4213365329","https://openalex.org/W4226337336","https://openalex.org/W4283324687","https://openalex.org/W4283698545","https://openalex.org/W4290876156","https://openalex.org/W4292419518","https://openalex.org/W4306316988","https://openalex.org/W4367046946","https://openalex.org/W4384641542","https://openalex.org/W4384774596","https://openalex.org/W4386721920","https://openalex.org/W4387846780","https://openalex.org/W4392368241","https://openalex.org/W4394994587"],"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":{"Click-Through":[0],"Rate":[1],"(CTR)":[2],"prediction":[3],"is":[4,51,155],"a":[5,61,87,140],"fundamental":[6],"technique":[7],"in":[8],"recommendation":[9],"and":[10,26,53,75,78,104,135],"advertising":[11,143],"systems.":[12],"Recent":[13],"studies":[14],"have":[15],"shown":[16],"that":[17,40,146],"implementing":[18],"multi-scenario":[19,32],"recommendations":[20],"contributes":[21,121],"to":[22,96,110,122],"strengthening":[23],"information":[24],"sharing":[25],"improving":[27],"overall":[28],"performance.":[29],"However,":[30],"existing":[31,149],"models":[33,150],"only":[34],"consider":[35],"coarse-grained":[36],"explicit":[37,77,103],"scenario":[38,44,80,113],"modeling":[39,81,119],"depends":[41],"on":[42,92,131,139],"pre-defined":[43],"identification":[45],"from":[46,126],"manual":[47],"prior":[48],"rules,":[49],"which":[50,70],"biased":[52],"sub-optimal.":[54],"To":[55],"address":[56],"these":[57],"limitations,":[58],"we":[59],"propose":[60],"Scenario-Aware":[62],"Hierarchical":[63],"Dynamic":[64],"Network":[65],"for":[66,157],"Multi-Scenario":[67],"Recommendations":[68],"(HierRec),":[69],"perceives":[71],"implicit":[72,79,105,118],"patterns":[73,125],"adaptively,":[74],"conducts":[76],"jointly.":[82],"In":[83],"particular,":[84],"HierRec":[85,147],"designs":[86],"basic":[88],"scenario-oriented":[89],"module":[90],"based":[91],"the":[93,101,116],"dynamic":[94],"weight":[95],"capture":[97],"scenario-specific":[98],"representations.":[99],"Then":[100],"hierarchical":[102],"scenario-aware":[106],"modules":[107],"are":[108],"proposed":[109],"model":[111],"hybrid-grained":[112],"information,":[114],"where":[115],"multi-head":[117],"design":[120],"perceiving":[123],"distinctive":[124],"different":[127],"perspectives.":[128],"Our":[129],"experiments":[130],"two":[132],"public":[133],"datasets":[134],"real-world":[136],"industrial":[137],"applications":[138],"mainstream":[141],"online":[142],"platform":[144],"demonstrate":[145],"outperforms":[148],"significantly.":[151],"The":[152],"implementation":[153],"code":[154],"available":[156],"reproducibility.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":7}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
