{"id":"https://openalex.org/W3094577760","doi":"https://doi.org/10.1145/3340531.3411952","title":"Deep Time-Aware Item Evolution Network for Click-Through Rate Prediction","display_name":"Deep Time-Aware Item Evolution Network for Click-Through Rate Prediction","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3094577760","doi":"https://doi.org/10.1145/3340531.3411952","mag":"3094577760"},"language":"en","primary_location":{"id":"doi:10.1145/3340531.3411952","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3411952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information &amp; 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/A5100605710","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0003-2454-9666"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406893","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0001-7717-447X"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102739991","display_name":"Bin Tong","orcid":"https://orcid.org/0000-0001-7822-1661"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Tong","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077784320","display_name":"Jiwei Tan","orcid":"https://orcid.org/0009-0004-4028-5570"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwei Tan","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082008486","display_name":"Xiaoyi Zeng","orcid":"https://orcid.org/0000-0002-3742-4910"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyi Zeng","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110600763","display_name":"Tao Zhuang","orcid":"https://orcid.org/0009-0001-4216-4551"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhuang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100605710"],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":6.1388,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.96640651,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"785","last_page":"794"},"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.827345073223114},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.8128178119659424},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.7347403764724731},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5957087278366089},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.543605387210846},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.47428828477859497},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4619795083999634},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4508398473262787},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4195754826068878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39046698808670044},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.367557555437088},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.325067400932312},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.321002334356308}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.827345073223114},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.8128178119659424},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.7347403764724731},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5957087278366089},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.543605387210846},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.47428828477859497},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4619795083999634},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4508398473262787},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4195754826068878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39046698808670044},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.367557555437088},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.325067400932312},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.321002334356308},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3340531.3411952","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3411952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information &amp; 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":38,"referenced_works":["https://openalex.org/W1994389483","https://openalex.org/W2014191176","https://openalex.org/W2019077769","https://openalex.org/W2026318959","https://openalex.org/W2027731328","https://openalex.org/W2074694452","https://openalex.org/W2080320419","https://openalex.org/W2120166550","https://openalex.org/W2137028279","https://openalex.org/W2265862919","https://openalex.org/W2294501066","https://openalex.org/W2295739661","https://openalex.org/W2468369286","https://openalex.org/W2509830164","https://openalex.org/W2512971201","https://openalex.org/W2534189265","https://openalex.org/W2548570154","https://openalex.org/W2583674722","https://openalex.org/W2723293840","https://openalex.org/W2743723926","https://openalex.org/W2783272285","https://openalex.org/W2803718882","https://openalex.org/W2942947041","https://openalex.org/W2949377321","https://openalex.org/W2950260856","https://openalex.org/W2953316038","https://openalex.org/W2962745591","https://openalex.org/W2963403868","https://openalex.org/W2963493749","https://openalex.org/W2963981376","https://openalex.org/W2964121744","https://openalex.org/W2964316331","https://openalex.org/W2964809821","https://openalex.org/W3100199015","https://openalex.org/W3104987177","https://openalex.org/W3105036728","https://openalex.org/W3122471732","https://openalex.org/W4232449914"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W135044020","https://openalex.org/W2103058005"],"abstract_inverted_index":{"For":[0],"better":[1],"user":[2,75,89,194],"satisfaction":[3],"and":[4,95],"business":[5],"effectiveness,":[6],"Click-Through":[7],"Rate":[8],"(CTR)":[9],"prediction":[10,164,262],"is":[11,21,85,103,130,241],"one":[12],"of":[13,79,98,120,133,146,182,196,237],"the":[14,23,69,88,96,118,169,177,192,197,202,206,235,242,246,268,276],"most":[15],"important":[16],"tasks":[17],"in":[18,43,68,87,185,214],"E-commerce.":[19],"It":[20,84],"often":[22],"case":[24],"that":[25,267],"users'":[26],"interests":[27,92],"different":[28],"from":[29],"their":[30],"past":[31],"routines":[32],"may":[33,41,93,151],"emerge":[34],"or":[35],"impressions":[36],"such":[37,50],"as":[38],"promotional":[39],"items":[40,223],"burst":[42],"a":[44,131,162,186],"very":[45],"short":[46,187],"period.":[47],"In":[48,157,173],"essence,":[49],"changes":[51,82],"relate":[52],"to":[53,153,245,275],"item":[54,100,114,125,129,139,150,171,216,232,247],"evolution":[55,248],"problem,":[56],"which":[57,72],"has":[58],"not":[59,104],"been":[60],"investigated":[61],"by":[62,175],"previous":[63],"studies.":[64],"The":[65,123,142,264],"state-of-the-art":[66,277],"methods":[67],"sequential":[70,203],"recommendation,":[71],"use":[73],"simple":[74],"behaviors,":[76,90],"are":[77,225],"incapable":[78],"modeling":[80],"these":[81,109],"sufficiently.":[83],"because,":[86],"outdated":[91],"exist":[94],"popularity":[97,208],"an":[99,128,149],"over":[101,209],"time":[102,179,188,204,210],"well":[105],"represented.":[106],"To":[107,234],"address":[108],"limitations,":[110],"we":[111,160],"introduce":[112],"time-aware":[113,124,170],"behaviors":[115],"for":[116,127,148,250],"addressing":[117],"recommendation":[119],"emerging":[121,193],"preference.":[122],"behavior":[126],"set":[132],"users":[134,147,184,219],"who":[135,220],"interact":[136,221],"with":[137,140,222],"this":[138,158,240],"timestamps.":[141],"rich":[143],"interaction":[144,178],"information":[145,181],"help":[152],"model":[154,165,270],"its":[155],"evolution.":[156],"work,":[159],"propose":[161],"CTR":[163,252,261],"TIEN":[166,269],"based":[167],"on":[168,258],"behavior.":[172],"TIEN,":[174],"leveraging":[176],"intervals,":[180,205],"similar":[183],"interval":[189],"helps":[190],"identify":[191],"interest":[195],"target":[198],"user.":[199],"By":[200],"using":[201],"item's":[207],"can":[211],"be":[212],"captured":[213],"evolutionary":[215],"dynamics.":[217,233],"Noisy":[218],"accidentally":[224],"further":[226],"eliminated":[227],"thus":[228],"learning":[229],"robust":[230],"personalized":[231],"best":[236],"our":[238],"knowledge,":[239],"first":[243],"study":[244],"problem":[249],"E-commerce":[251],"prediction.":[253],"We":[254],"conduct":[255],"extensive":[256],"experiments":[257],"five":[259],"real-world":[260],"datasets.":[263],"results":[265],"show":[266],"consistently":[271],"achieves":[272],"remarkable":[273],"improvements":[274],"methods.":[278]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
