{"id":"https://openalex.org/W4394947896","doi":"https://doi.org/10.1145/3626772.3657777","title":"Deep Pattern Network for Click-Through Rate Prediction","display_name":"Deep Pattern Network for Click-Through Rate Prediction","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4394947896","doi":"https://doi.org/10.1145/3626772.3657777"},"language":"en","primary_location":{"id":"doi:10.1145/3626772.3657777","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3626772.3657777","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3626772.3657777","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101842322","display_name":"Hengyu Zhang","orcid":"https://orcid.org/0000-0003-4232-4874"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengyu Zhang","raw_affiliation_strings":["Tsinghua\u00a0Shenzhen International Graduate School, Tsinghua\u00a0University, Shenzhen, Guangdong, China","Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4232-4874","affiliations":[{"raw_affiliation_string":"Tsinghua\u00a0Shenzhen International Graduate School, Tsinghua\u00a0University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024752665","display_name":"Junwei Pan","orcid":"https://orcid.org/0009-0003-2697-7012"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junwei Pan","raw_affiliation_strings":["Tencent, Shenzhen, Guangdong, China","Tsinghua Shenzhen International Graduate School, Tsinghua University Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0003-2697-7012","affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103325848","display_name":"Dapeng Liu","orcid":"https://orcid.org/0009-0003-2973-9167"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dapeng Liu","raw_affiliation_strings":["Tencent, Shenzhen, Guangdong, China","Tsinghua Shenzhen International Graduate School, Tsinghua University Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0003-2973-9167","affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037387576","display_name":"Jie Jiang","orcid":"https://orcid.org/0000-0001-9658-5127"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Jiang","raw_affiliation_strings":["Tencent, Shenzhen, Guangdong, China","Tsinghua Shenzhen International Graduate School, Tsinghua University Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9658-5127","affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100754504","display_name":"Xiu Li","orcid":"https://orcid.org/0000-0003-0403-1923"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiu Li","raw_affiliation_strings":["Tsinghua\u00a0Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China","Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-0403-1923","affiliations":[{"raw_affiliation_string":"Tsinghua\u00a0Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6811,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.94899576,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1189","last_page":"1199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9923999905586243,"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"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9923999905586243,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12238","display_name":"Green IT and Sustainability","score":0.9409999847412109,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7021991014480591},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.6476454138755798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43460941314697266},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.21847668290138245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7021991014480591},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.6476454138755798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43460941314697266},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.21847668290138245}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3626772.3657777","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3626772.3657777","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2404.11456","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.11456","pdf_url":"https://arxiv.org/pdf/2404.11456","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3626772.3657777","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3626772.3657777","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2074694452","https://openalex.org/W2194775991","https://openalex.org/W2295739661","https://openalex.org/W2314104898","https://openalex.org/W2325516645","https://openalex.org/W2475334473","https://openalex.org/W2512971201","https://openalex.org/W2548570154","https://openalex.org/W2604662567","https://openalex.org/W2605350416","https://openalex.org/W2723293840","https://openalex.org/W2747329762","https://openalex.org/W2783272285","https://openalex.org/W2783944588","https://openalex.org/W2793768763","https://openalex.org/W2941383877","https://openalex.org/W2945772520","https://openalex.org/W2962745591","https://openalex.org/W2963367478","https://openalex.org/W2977032157","https://openalex.org/W2984100107","https://openalex.org/W2997674406","https://openalex.org/W3011284156","https://openalex.org/W3012705926","https://openalex.org/W3093519337","https://openalex.org/W3098065087","https://openalex.org/W3104030692","https://openalex.org/W3106252282","https://openalex.org/W3190524507","https://openalex.org/W4213052788","https://openalex.org/W4226334005","https://openalex.org/W4226337336","https://openalex.org/W4240935049","https://openalex.org/W4284702440","https://openalex.org/W4285483642","https://openalex.org/W4306317296","https://openalex.org/W4306317673","https://openalex.org/W4320060351","https://openalex.org/W4385567607","https://openalex.org/W4386728853","https://openalex.org/W4392270896"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Click-through":[0],"rate":[1],"(CTR)":[2],"prediction":[3,88],"plays":[4],"a":[5,74,162,173],"pivotal":[6],"role":[7],"in":[8,12,22],"real-world":[9],"applications,":[10],"particularly":[11],"recommendation":[13],"systems":[14],"and":[15,42,129,199],"online":[16],"advertising.":[17],"A":[18],"significant":[19],"research":[20,31],"branch":[21],"this":[23,50],"domain":[24],"focuses":[25],"on":[26,34,177],"user":[27,57,65],"behavior":[28,58,70,96,153,159],"modeling.":[29],"Current":[30],"predominantly":[32],"centers":[33],"modeling":[35,55],"co-occurrence":[36],"relationships":[37],"between":[38],"the":[39,53,62,92,118,142,196],"target":[40],"item":[41],"items":[43,122],"previously":[44],"interacted":[45],"with":[46],"by":[47],"users.":[48],"However,":[49],"focus":[51],"neglects":[52],"intricate":[54],"of":[56,64,73,76,120,127,202],"patterns.":[59,135,154,186],"In":[60],"reality,":[61],"abundance":[63],"interaction":[66],"records":[67],"encompasses":[68],"diverse":[69],"patterns,":[71,97,124,128],"indicative":[72],"spectrum":[75],"habitual":[77],"paradigms.":[78],"These":[79],"patterns":[80,160,171],"harbor":[81],"substantial":[82],"potential":[83,94],"to":[84,103,108,148,169],"significantly":[85],"enhance":[86],"CTR":[87],"performance.":[89],"To":[90,136],"harness":[91],"informational":[93],"within":[95,123,184],"we":[98,140],"extend":[99],"Target":[100,104],"Attention":[101,106],"(TA)":[102],"Pattern":[105,144],"(TPA)":[107],"model":[109],"pattern-level":[110],"dependencies.":[111],"Furthermore,":[112],"three":[113,192],"critical":[114],"challenges":[115],"demand":[116],"attention:":[117],"inclusion":[119],"unrelated":[121],"data":[125],"sparsity":[126],"computational":[130],"complexity":[131],"arising":[132],"from":[133,152],"numerous":[134],"address":[137],"these":[138],"challenges,":[139],"introduce":[141],"Deep":[143],"Network":[145],"(DPN),":[146],"designed":[147],"comprehensively":[149],"leverage":[150],"information":[151],"DPN":[155],"efficiently":[156],"retrieves":[157],"target-related":[158],"using":[161],"target-aware":[163],"attention":[164],"mechanism.":[165],"Additionally,":[166],"it":[167],"contributes":[168],"refining":[170],"through":[172],"pre-training":[174],"paradigm":[175],"based":[176],"self-supervised":[178],"learning":[179,183],"while":[180],"promoting":[181],"dependency":[182],"sparse":[185],"Our":[187],"comprehensive":[188],"experiments,":[189],"conducted":[190],"across":[191],"public":[193],"datasets,":[194],"substantiate":[195],"superior":[197],"performance":[198],"broad":[200],"compatibility":[201],"DPN.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
