{"id":"https://openalex.org/W4386081506","doi":"https://doi.org/10.1145/3583780.3615218","title":"DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations","display_name":"DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4386081506","doi":"https://doi.org/10.1145/3583780.3615218"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615218","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615218","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615218","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615218","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091308232","display_name":"Wei Dai","orcid":"https://orcid.org/0000-0003-2309-7485"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Dai","raw_affiliation_strings":["Taobao & Tmall Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2309-7485","affiliations":[{"raw_affiliation_string":"Taobao & Tmall Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102760065","display_name":"Yingmin Su","orcid":"https://orcid.org/0009-0003-2678-7606"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yingmin Su","raw_affiliation_strings":["Taobao & Tmall Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0003-2678-7606","affiliations":[{"raw_affiliation_string":"Taobao & Tmall Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102489274","display_name":"Xiaofeng Pan","orcid":"https://orcid.org/0009-0007-0719-3780"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaofeng Pan","raw_affiliation_strings":["Taobao & Tmall Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-0719-3780","affiliations":[{"raw_affiliation_string":"Taobao & Tmall Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367924","display_name":"Yufeng Wang","orcid":"https://orcid.org/0000-0003-0448-325X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufeng Wang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0448-325X","affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048504328","display_name":"Zhenyu Zhu","orcid":"https://orcid.org/0009-0005-9304-8939"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenyu Zhu","raw_affiliation_strings":["Taobao & Tmall Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-9304-8939","affiliations":[{"raw_affiliation_string":"Taobao & Tmall Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099800091","display_name":"Nan Xu","orcid":"https://orcid.org/0009-0003-3099-9046"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nan Xu","raw_affiliation_strings":["Taobao & Tmall Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0003-3099-9046","affiliations":[{"raw_affiliation_string":"Taobao & Tmall Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065931520","display_name":"Chengjun Mao","orcid":"https://orcid.org/0009-0001-8260-8217"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chengjun Mao","raw_affiliation_strings":["Taobao & Tmall Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-8260-8217","affiliations":[{"raw_affiliation_string":"Taobao & Tmall Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101850443","display_name":"Bo Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Cao","raw_affiliation_strings":["Taobao & Tmall Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-7135-9259","affiliations":[{"raw_affiliation_string":"Taobao & Tmall Group, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3232,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52773264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3838","last_page":"3842"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9887999892234802,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9836999773979187,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.7204314470291138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7119333744049072},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3335806131362915},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14188224077224731},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08493977785110474}],"concepts":[{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.7204314470291138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7119333744049072},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3335806131362915},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14188224077224731},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08493977785110474}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3583780.3615218","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615218","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615218","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2308.10527","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.10527","pdf_url":"https://arxiv.org/pdf/2308.10527","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3583780.3615218","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615218","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615218","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4399999976158142,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386081506.pdf","grobid_xml":"https://content.openalex.org/works/W4386081506.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2171461858","https://openalex.org/W2604662567","https://openalex.org/W2723293840","https://openalex.org/W2793768763","https://openalex.org/W2962745591","https://openalex.org/W2964182926","https://openalex.org/W3034792929","https://openalex.org/W3093519337","https://openalex.org/W3093945404","https://openalex.org/W3104030692","https://openalex.org/W3117286046","https://openalex.org/W3153687269","https://openalex.org/W3170187879","https://openalex.org/W3204647170","https://openalex.org/W4213365329","https://openalex.org/W4220819549","https://openalex.org/W4221140664","https://openalex.org/W4226310481","https://openalex.org/W4283698545","https://openalex.org/W4291167234","https://openalex.org/W4365796015","https://openalex.org/W4366572489"],"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":{"In":[0],"e-commerce":[1,186],"platforms,":[2],"the":[3,26,54,58,91,147,189],"relevant":[4,104,193],"recommendation":[5,31,151],"is":[6,44,118,139],"a":[7,14,87,172],"unique":[8],"scenario":[9],"providing":[10],"related":[11,52],"items":[12,50],"for":[13,25,76,98,146,192],"trigger":[15,55],"item":[16,130],"that":[17],"users":[18],"are":[19,33,51,62],"interested":[20],"in.":[21],"However,":[22],"users'":[23,73,143],"preferences":[24,75,145],"similarity":[27,68,122],"and":[28,35,69,71,94,123,129,134,166],"diversity":[29,43,70,124],"of":[30,67,126,150],"results":[32,152],"dynamic":[34,74,144],"vary":[36],"under":[37,78],"different":[38,79],"conditions.":[39,80,156],"Moreover,":[40],"individual":[41],"item-level":[42],"too":[45],"coarse-grained":[46],"since":[47],"all":[48],"recommended":[49],"to":[53,63,120,141,154],"item.":[56],"Thus,":[57],"two":[59],"main":[60],"challenges":[61],"learn":[64],"fine-grained":[65],"representations":[66,125],"capture":[72,142],"them":[77],"To":[81],"address":[82],"these":[83],"challenges,":[84],"we":[85],"propose":[86],"novel":[88],"method":[89],"called":[90],"Dynamic":[92],"Preference-based":[93],"Attribute-aware":[95,109],"Network":[96],"(DPAN)":[97],"predicting":[99],"Click-Through":[100],"Rate":[101],"(CTR)":[102],"in":[103,171,176],"recommendations.":[105,194],"Specifically,":[106],"based":[107],"on":[108,184],"Activation":[110],"Values":[111],"Generation":[112],"(AAVG),":[113],"Bi-dimensional":[114],"Compression-based":[115],"Re-expression":[116],"(BCR)":[117],"designed":[119],"obtain":[121],"user":[127],"interests":[128],"information.":[131],"Then":[132],"Shallow":[133],"Deep":[135],"Union-based":[136],"Fusion":[137],"(SDUF)":[138],"proposed":[140],"diverse":[148],"degree":[149],"according":[153],"various":[155],"DPAN":[157,179],"has":[158,180],"demonstrated":[159],"its":[160],"effectiveness":[161],"through":[162],"extensive":[163],"offline":[164],"experiments":[165],"online":[167],"A/B":[168],"testing,":[169],"resulting":[170],"significant":[173],"7.62%":[174],"improvement":[175],"CTR.":[177],"Currently,":[178],"been":[181],"successfully":[182],"deployed":[183],"our":[185],"platform":[187],"serving":[188],"primary":[190],"traffic":[191]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}