{"id":"https://openalex.org/W4385299093","doi":"https://doi.org/10.1145/3603781.3603932","title":"Deep Multifaceted Highlight Network for Multi-objective Ranking in Trigger-Induced Recommendation","display_name":"Deep Multifaceted Highlight Network for Multi-objective Ranking in Trigger-Induced Recommendation","publication_year":2023,"publication_date":"2023-05-26","ids":{"openalex":"https://openalex.org/W4385299093","doi":"https://doi.org/10.1145/3603781.3603932"},"language":"en","primary_location":{"id":"doi:10.1145/3603781.3603932","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3603781.3603932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","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/A5101669671","display_name":"Jian Liu","orcid":"https://orcid.org/0009-0008-3820-9420"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Liu","raw_affiliation_strings":["School of Software, Beihang University, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092551573","display_name":"Huanshu Gou","orcid":"https://orcid.org/0009-0003-5028-6916"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanshu Gou","raw_affiliation_strings":["School of Software, Beihang University, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Beihang University, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101669671"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14825081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"858","last_page":"865"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9958000183105469,"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":0.9958000183105469,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9882000088691711,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9858999848365784,"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/ranking","display_name":"Ranking (information retrieval)","score":0.7464311718940735},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.665827214717865},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4012995958328247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38014012575149536},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.326496422290802}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7464311718940735},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.665827214717865},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4012995958328247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38014012575149536},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.326496422290802}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3603781.3603932","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3603781.3603932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1678356000","https://openalex.org/W2170944079","https://openalex.org/W2548570154","https://openalex.org/W2604249033","https://openalex.org/W2604662567","https://openalex.org/W2723293840","https://openalex.org/W2740920897","https://openalex.org/W2809290718","https://openalex.org/W2890044493","https://openalex.org/W2945569946","https://openalex.org/W2945944361","https://openalex.org/W2950438065","https://openalex.org/W2962989965","https://openalex.org/W2996931760","https://openalex.org/W3087931390","https://openalex.org/W3093601757","https://openalex.org/W4220819549","https://openalex.org/W4309302828","https://openalex.org/W6787821508","https://openalex.org/W6910681941","https://openalex.org/W7075685406"],"related_works":["https://openalex.org/W2118564381","https://openalex.org/W2163901716","https://openalex.org/W2152204162","https://openalex.org/W2739821120","https://openalex.org/W2150136235","https://openalex.org/W2026095310","https://openalex.org/W2140661912","https://openalex.org/W2037724912","https://openalex.org/W2056806613","https://openalex.org/W2153069032"],"abstract_inverted_index":{"Recommender":[0],"Systems":[1],"have":[2],"been":[3],"proven":[4],"to":[5,29,47,148,154,164,187],"be":[6,55],"of":[7,133,200],"great":[8],"business":[9],"value":[10],"in":[11,21,140],"e-commerce":[12],"platforms":[13,24],"and":[14,62,97,108,178,182],"recommendation":[15,71,80,119],"algorithms":[16,81],"play":[17],"an":[18],"important":[19],"role":[20],"it.":[22],"E-commerce":[23],"provide":[25],"entrances":[26],"for":[27,137],"customers":[28],"enter":[30],"channels":[31],"that":[32,127],"can":[33,54,128],"meet":[34],"their":[35],"specific":[36],"shopping":[37],"needs.":[38],"Trigger":[39],"items":[40,61,66],"displayed":[41],"on":[42,92,166,192],"entrance":[43],"icons":[44],"are":[45,67],"useful":[46],"attract":[48],"more":[49],"entering.":[50],"User":[51],"instant":[52],"interest":[53],"explicitly":[56],"induced":[57],"by":[58,170],"the":[59,102,105,109,145,156,161,167,172,175,179,183,198],"trigger":[60,106,168,180],"follow-up":[63],"related":[64],"target":[65,110,176],"recommended":[68],"accordingly,":[69],"this":[70,113],"scenario":[72],"is":[73],"called":[74],"trigger-induced":[75,79,141],"recommendation.":[76,142],"However,":[77],"existing":[78],"usually":[82],"optimize":[83,188],"a":[84,117],"single":[85],"task":[86],"(e.g.,":[87],"click-through":[88],"rate":[89],"prediction)":[90],"based":[91],"users\u2019":[93,130],"historical":[94],"click":[95],"sequences,":[96],"do":[98],"not":[99],"consider":[100],"modeling":[101,171],"similarity":[103,173],"between":[104,174],"item":[107,169,177],"item.":[111],"In":[112],"paper,":[114],"we":[115],"propose":[116],"novel":[118],"method":[120],"named":[121],"Deep":[122],"Multifaceted":[123],"Highlight":[124],"Network":[125],"(DMHN)":[126],"model":[129,149],"multiple":[131,189],"types":[132],"behavior":[134,152],"sequences":[135,153],"simultaneously":[136],"multi-objective":[138],"ranking":[139],"DMHN":[143,201],"utilizes":[144],"Multi-Interest":[146],"Module":[147,163],"user\u2019s":[150],"various":[151],"capture":[155],"different":[157],"latent":[158],"user":[159],"interests,":[160],"Similarity":[162],"focus":[165],"item,":[181],"Progressive":[184],"Layered":[185],"Extraction":[186],"objectives.":[190],"Experiments":[191],"JD.com":[193],"real":[194],"production":[195],"dataset":[196],"demonstrate":[197],"superiority":[199],"over":[202],"state-of-the-art":[203],"methods.":[204]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}