{"id":"https://openalex.org/W3080290762","doi":"https://doi.org/10.1145/3409501.3409519","title":"An Efficient Deep Interaction Network for Click-Through Rate Prediction","display_name":"An Efficient Deep Interaction Network for Click-Through Rate Prediction","publication_year":2020,"publication_date":"2020-07-03","ids":{"openalex":"https://openalex.org/W3080290762","doi":"https://doi.org/10.1145/3409501.3409519","mag":"3080290762"},"language":"en","primary_location":{"id":"doi:10.1145/3409501.3409519","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3409501.3409519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th High Performance Computing and Cluster Technologies Conference & 2020 3rd International Conference on Big Data and Artificial Intelligence","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/A5100342404","display_name":"Xu Li","orcid":"https://orcid.org/0000-0001-5027-3419"},"institutions":[{"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":true,"raw_author_name":"Xu Li","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023559033","display_name":"Xiang Ji","orcid":"https://orcid.org/0000-0002-5233-4358"},"institutions":[{"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":"Xiang Ji","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100425448","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0001-7914-0679"},"institutions":[{"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":"Li Zhang","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100342404"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14467284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"246","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9922999739646912,"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":0.9846000075340271,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8360220789909363},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.7071409225463867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6675994396209717},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6148338317871094},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5880731344223022},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5488782525062561},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5444104075431824},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5223002433776855},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.520119309425354},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.4889775514602661},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4754566550254822},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4380347728729248},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3763824701309204},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.1590045988559723},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1103295087814331}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8360220789909363},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.7071409225463867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6675994396209717},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6148338317871094},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5880731344223022},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5488782525062561},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5444104075431824},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5223002433776855},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.520119309425354},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.4889775514602661},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4754566550254822},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4380347728729248},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3763824701309204},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.1590045988559723},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1103295087814331},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3409501.3409519","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3409501.3409519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th High Performance Computing and Cluster Technologies Conference & 2020 3rd International Conference on Big Data and Artificial Intelligence","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":22,"referenced_works":["https://openalex.org/W1983548143","https://openalex.org/W2443960221","https://openalex.org/W2475334473","https://openalex.org/W2604662567","https://openalex.org/W2723293840","https://openalex.org/W2793768763","https://openalex.org/W2898085636","https://openalex.org/W2911760887","https://openalex.org/W2946044191","https://openalex.org/W2962745591","https://openalex.org/W2963323306","https://openalex.org/W2964052347","https://openalex.org/W2964182926","https://openalex.org/W2964325980","https://openalex.org/W2977032157","https://openalex.org/W3096591391","https://openalex.org/W3098024612","https://openalex.org/W3101704389","https://openalex.org/W3104030692","https://openalex.org/W3104789011","https://openalex.org/W3146824751","https://openalex.org/W4246578495"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W3141979996","https://openalex.org/W3114781559"],"abstract_inverted_index":{"Click-through":[0],"rate":[1],"(CTR)":[2],"prediction":[3],"is":[4,54,82,113,138],"crucial":[5],"for":[6,57,107],"recommender":[7],"systems":[8],"and":[9,21,52,148,172],"it":[10,53],"plays":[11],"a":[12,78,102],"significant":[13],"role":[14],"in":[15,84,87,115],"Internet":[16],"companies":[17],"such":[18,163],"as":[19,164],"Facebook":[20],"Alibaba,":[22],"etc.":[23],"How":[24],"to":[25,61,74,140],"effectively":[26],"model":[27],"the":[28,36,39,89,118,123,142,145,158],"interactions":[29,47],"among":[30],"various":[31],"original":[32],"features":[33,46,94,111],"usually":[34],"decides":[35],"performance":[37,143],"of":[38,70,127,144],"CTR":[40],"predictor.":[41],"In":[42,72,100],"real":[43],"scenarios,":[44],"useful":[45],"are":[48,97,130],"always":[49],"distributed":[50],"sparsely":[51],"very":[55],"difficult":[56],"deep":[58,79,154,161],"neural":[59],"network":[60,81,156],"learn":[62],"them":[63],"by":[64,132],"gradient":[65],"back-propagation":[66],"mechanism":[67],"under":[68],"millions":[69],"parameters.":[71],"order":[73,110],"alleviate":[75],"this":[76,85],"dilemma,":[77],"interaction":[80,95,155],"proposed":[83,146],"paper,":[86],"which":[88,121],"1-order,":[90],"2-order,":[91],"3-order,":[92],"4-order":[93],"behavior":[96],"explicitly":[98],"modelled.":[99],"addition,":[101],"convolutional":[103],"based":[104],"feature":[105],"extractor":[106],"learning":[108],"high":[109],"combination":[112],"integrated":[114],"parallel.":[116],"Finally":[117],"inference":[119],"logits":[120],"indicates":[122],"user":[124],"click":[125],"probability":[126],"all":[128],"orders":[129],"fused":[131],"learnable":[133],"weights.":[134],"Criteo":[135],"public":[136],"dataset":[137],"applied":[139],"evaluate":[141],"approach":[147],"experimental":[149],"result":[150],"demonstrates":[151],"that":[152],"our":[153],"outperforms":[157],"other":[159],"state-of-the-art":[160],"models":[162],"FNN,":[165],"DeepFM,":[166],"FGCNN,":[167],"etc,":[168],"achieving":[169],"0.4534":[170],"logloss":[171],"0.7645":[173],"AUC":[174],"(area":[175],"unde":[176],"curve)":[177],"over":[178],"test":[179],"dataset.":[180]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}