{"id":"https://openalex.org/W4387846572","doi":"https://doi.org/10.1145/3583780.3615212","title":"DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction","display_name":"DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387846572","doi":"https://doi.org/10.1145/3583780.3615212"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615212","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615212","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615212","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":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615212","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053959119","display_name":"Bin Shen","orcid":"https://orcid.org/0000-0002-0167-3034"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin Shen","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0167-3034","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102889429","display_name":"Jingran Xu","orcid":"https://orcid.org/0009-0002-2739-4751"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingran Xu","raw_affiliation_strings":["Antgroup, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-2739-4751","affiliations":[{"raw_affiliation_string":"Antgroup, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101891282","display_name":"Min Xu","orcid":"https://orcid.org/0000-0002-5952-0794"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu Min","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5952-0794","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102829235","display_name":"Z Ke","orcid":"https://orcid.org/0009-0009-0140-2320"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeyu Ke","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-0140-2320","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082449442","display_name":"Yong He","orcid":"https://orcid.org/0009-0000-5390-2655"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong He","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-5390-2655","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425242","display_name":"Liang Zhang","orcid":"https://orcid.org/0000-0002-7744-7789"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang Zhang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7744-7789","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373007","display_name":"Xin Dong","orcid":"https://orcid.org/0009-0004-2523-9971"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin Dong","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-2523-9971","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044628261","display_name":"Linjian Mo","orcid":"https://orcid.org/0000-0002-6682-1448"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linjian Mo","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6682-1448","affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3212,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55503339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4279","last_page":"4283"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9848999977111816,"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/embedding","display_name":"Embedding","score":0.7489680051803589},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.6970018148422241},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.6543973088264465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5692288279533386},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5085738897323608},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4982717037200928},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4919755160808563},{"id":"https://openalex.org/keywords/numerical-analysis","display_name":"Numerical analysis","score":0.4662707448005676},{"id":"https://openalex.org/keywords/cumulative-distribution-function","display_name":"Cumulative distribution function","score":0.46310752630233765},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4581564664840698},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4380791485309601},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42902472615242004},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42208629846572876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3961963951587677},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32882028818130493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27454355359077454},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.25690826773643494},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1158512532711029},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11159968376159668}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7489680051803589},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.6970018148422241},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6543973088264465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5692288279533386},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5085738897323608},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4982717037200928},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4919755160808563},{"id":"https://openalex.org/C48753275","wikidata":"https://www.wikidata.org/wiki/Q11216","display_name":"Numerical analysis","level":2,"score":0.4662707448005676},{"id":"https://openalex.org/C103784038","wikidata":"https://www.wikidata.org/wiki/Q386228","display_name":"Cumulative distribution function","level":3,"score":0.46310752630233765},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4581564664840698},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4380791485309601},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42902472615242004},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42208629846572876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3961963951587677},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32882028818130493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27454355359077454},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.25690826773643494},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1158512532711029},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11159968376159668},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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:10.1145/3583780.3615212","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615212","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615212","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"}],"best_oa_location":{"id":"doi:10.1145/3583780.3615212","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3615212","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3615212","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":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387846572.pdf","grobid_xml":"https://content.openalex.org/works/W4387846572.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2475334473","https://openalex.org/W2512971201","https://openalex.org/W2523437372","https://openalex.org/W2723293840","https://openalex.org/W2793768763","https://openalex.org/W2898085636","https://openalex.org/W2946044191","https://openalex.org/W2950445386","https://openalex.org/W2962745591","https://openalex.org/W2963924287","https://openalex.org/W2964182926","https://openalex.org/W2968928822","https://openalex.org/W2974499277","https://openalex.org/W2979450518","https://openalex.org/W2989550455","https://openalex.org/W3101704389","https://openalex.org/W3104030692","https://openalex.org/W3104439459","https://openalex.org/W3104789011","https://openalex.org/W3164006073","https://openalex.org/W3171874185","https://openalex.org/W3206992626"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2250140200","https://openalex.org/W3121791438"],"abstract_inverted_index":{"Numerical":[0],"features":[1],"are":[2],"an":[3],"important":[4],"type":[5],"of":[6,71,113],"input":[7],"for":[8],"CTR":[9,125],"prediction":[10],"models.":[11],"Recently,":[12],"several":[13],"discretization":[14],"and":[15,93,127],"numerical":[16,25,43,56],"transformation":[17],"methods":[18],"have":[19],"been":[20],"proposed":[21],"to":[22,54,81,89,103,116,123],"deal":[23],"with":[24,35],"features.":[26],"However,":[27],"existing":[28],"approaches":[29],"do":[30],"not":[31],"fully":[32],"consider":[33],"compatibility":[34],"different":[36,124],"distributions.":[37,58,128],"Here,":[38],"we":[39,96],"propose":[40],"a":[41],"novel":[42],"feature":[44,57],"embedding":[45,83],"framework,":[46],"called":[47],"Distribution-Aware":[48],"Embedding":[49],"(DAE),":[50],"which":[51],"is":[52,79],"applicable":[53],"various":[55],"First,":[59],"DAE":[60,114],"efficiently":[61],"approximates":[62],"the":[63,69,72,76,82,98,105,111,117,121],"cumulative":[64],"distribution":[65,77],"function":[66],"by":[67,85],"estimating":[68],"expectation":[70],"order":[73],"statistics.":[74],"Then,":[75],"information":[78],"applied":[80],"layer":[84],"nonlinear":[86],"interpolation.":[87],"Finally,":[88],"capture":[90],"both":[91],"local":[92],"global":[94],"information,":[95],"aggregate":[97],"embeddings":[99],"at":[100],"multiple":[101],"scales":[102],"obtain":[104],"final":[106],"representation.":[107],"Empirical":[108],"results":[109],"validate":[110],"effectiveness":[112],"compared":[115],"baselines,":[118],"while":[119],"demonstrating":[120],"adaptability":[122],"models":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}
