{"id":"https://openalex.org/W4312140589","doi":"https://doi.org/10.3390/e24121831","title":"A Dual Adaptive Interaction Click-Through Rate Prediction Based on Attention Logarithmic Interaction Network","display_name":"A Dual Adaptive Interaction Click-Through Rate Prediction Based on Attention Logarithmic Interaction Network","publication_year":2022,"publication_date":"2022-12-15","ids":{"openalex":"https://openalex.org/W4312140589","doi":"https://doi.org/10.3390/e24121831","pmid":"https://pubmed.ncbi.nlm.nih.gov/36554236"},"language":"en","primary_location":{"id":"doi:10.3390/e24121831","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24121831","pdf_url":"https://www.mdpi.com/1099-4300/24/12/1831/pdf?version=1671615515","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/24/12/1831/pdf?version=1671615515","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055154237","display_name":"Shiqi Li","orcid":"https://orcid.org/0000-0002-6823-735X"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqi Li","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University, Yantai 264005, China"],"raw_orcid":"https://orcid.org/0000-0002-6823-735X","affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University, Yantai 264005, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085055875","display_name":"Zhendong Cui","orcid":"https://orcid.org/0000-0002-5503-1336"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhendong Cui","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University, Yantai 264005, China"],"raw_orcid":"https://orcid.org/0000-0002-5503-1336","affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University, Yantai 264005, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112195750","display_name":"Yongquan Pei","orcid":null},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongquan Pei","raw_affiliation_strings":["School of Computer and Control Engineering, Yantai University, Yantai 264005, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Control Engineering, Yantai University, Yantai 264005, China","institution_ids":["https://openalex.org/I18452120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085055875"],"corresponding_institution_ids":["https://openalex.org/I18452120"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.2743,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85033455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"24","issue":"12","first_page":"1831","last_page":"1831"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9969000220298767,"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":0.9969000220298767,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9602000117301941,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9305999875068665,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7070237994194031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6882280111312866},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.6213385462760925},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6151793003082275},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5754747986793518},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.555718719959259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5049462914466858},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4246165454387665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38060224056243896},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32159292697906494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21161305904388428}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7070237994194031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6882280111312866},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.6213385462760925},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6151793003082275},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5754747986793518},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.555718719959259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5049462914466858},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4246165454387665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38060224056243896},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32159292697906494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21161305904388428},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e24121831","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24121831","pdf_url":"https://www.mdpi.com/1099-4300/24/12/1831/pdf?version=1671615515","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:36554236","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36554236","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:baee88de4cdd42d1b4568e448ba3b307","is_oa":true,"landing_page_url":"https://doaj.org/article/baee88de4cdd42d1b4568e448ba3b307","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 24, Iss 12, p 1831 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/24/12/1831/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e24121831","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Entropy; Volume 24; Issue 12; Pages: 1831","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9778598","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9778598","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e24121831","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24121831","pdf_url":"https://www.mdpi.com/1099-4300/24/12/1831/pdf?version=1671615515","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G4391147342","display_name":null,"funder_award_id":"62273290","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7880935157","display_name":null,"funder_award_id":"61972360","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312140589.pdf","grobid_xml":"https://content.openalex.org/works/W4312140589.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W2090883204","https://openalex.org/W2115268776","https://openalex.org/W2135746199","https://openalex.org/W2160821628","https://openalex.org/W2295739661","https://openalex.org/W2322832047","https://openalex.org/W2475334473","https://openalex.org/W2509235963","https://openalex.org/W2548570154","https://openalex.org/W2604662567","https://openalex.org/W2752782242","https://openalex.org/W2788490371","https://openalex.org/W2793768763","https://openalex.org/W2963323306","https://openalex.org/W2964052347","https://openalex.org/W2964182926","https://openalex.org/W2970793364","https://openalex.org/W2979450518","https://openalex.org/W2982902390","https://openalex.org/W2988777870","https://openalex.org/W2997130580","https://openalex.org/W3034236656","https://openalex.org/W3034971973","https://openalex.org/W3035717151","https://openalex.org/W3080642298","https://openalex.org/W3093108579","https://openalex.org/W3093476971","https://openalex.org/W3098723082","https://openalex.org/W3104030692","https://openalex.org/W3104439459","https://openalex.org/W3212216178","https://openalex.org/W4205583201","https://openalex.org/W4210746697","https://openalex.org/W4292730582","https://openalex.org/W4295910374","https://openalex.org/W4307569215","https://openalex.org/W4385245566","https://openalex.org/W6724478308","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2183306018","https://openalex.org/W2549990292","https://openalex.org/W2345479200","https://openalex.org/W2952185452","https://openalex.org/W2798106756","https://openalex.org/W2951819827","https://openalex.org/W2849310602","https://openalex.org/W2419146053","https://openalex.org/W2046736294"],"abstract_inverted_index":{"Click-through":[0],"rate":[1],"(CTR)":[2],"prediction":[3,17,42,70],"is":[4,18,66,114,239,269],"crucial":[5],"for":[6,87,204,219],"computing":[7],"advertisement":[8],"and":[9,24,76,105,129,154,185,222,246,263,271],"recommender":[10],"systems.":[11],"The":[12,109],"key":[13],"challenge":[14],"of":[15,38,102,140,149,165,199,224,236],"CTR":[16,41,88,206],"to":[19,28,68,83,125,135,162,195,253],"accurately":[20],"capture":[21,84],"user":[22],"interests":[23],"deliver":[25],"suitable":[26],"advertisements":[27],"the":[29,99,130,138,146,150,163,166,171,176,189,197,211,220,234,242,254,264],"right":[30],"people.":[31],"However,":[32],"there":[33],"are":[34,258],"an":[35,50,64,92],"immense":[36],"number":[37,159],"features":[39,62],"in":[40,116,188],"datasets,":[43,262],"which":[44,119,169,226,238],"hardly":[45],"fit":[46],"when":[47],"only":[48],"using":[49],"individual":[51],"feature.":[52],"To":[53],"solve":[54],"this":[55,117],"problem,":[56],"feature":[57,85,103,107,127,142,178,201],"interaction":[58,86,104,214],"that":[59,95,267],"combines":[60],"several":[61],"via":[63],"operation":[65,243],"introduced":[67],"enhance":[69],"performance.":[71,207],"Many":[72],"factorizations":[73],"machine-based":[74],"models":[75],"deep":[77],"learning":[78],"methods":[79],"have":[80],"been":[81],"proposed":[82,218],"prediction.":[89],"They":[90],"follow":[91],"enumeration-filter":[93],"pattern":[94],"could":[96],"not":[97],"determine":[98],"appropriate":[100],"order":[101],"useful":[106],"interaction.":[108],"attention":[110,212],"logarithmic":[111,121,183,213],"network":[112,215],"(ALN)":[113],"presented":[115],"paper,":[118],"uses":[120],"neural":[122],"networks":[123],"(LNN)":[124],"model":[126,137,196],"interactions,":[128],"squeeze":[131],"excitation":[132],"(SE)":[133],"mechanism":[134],"adaptively":[136,203],"importance":[139,198],"higher-order":[141],"interactions.":[143],"At":[144],"first,":[145],"embedding":[147,167,255],"vector":[148],"input":[151,173],"was":[152,160,193,217],"absolutized":[153],"a":[155,249],"very":[156],"small":[157,250],"positive":[158,245,251],"added":[161],"zeros":[164],"vector,":[168],"made":[170],"LNN":[172],"positive.":[174],"Then,":[175],"adaptive-order":[177],"interactions":[179,202],"were":[180],"learned":[181],"by":[182,241,247],"transformation":[184,187],"exponential":[186],"LNN.":[190],"Finally,":[191],"SE":[192],"applied":[194],"high-order":[200],"enhancing":[205],"Based":[208],"on":[209,260],"this,":[210],"(ALIN)":[216],"effectiveness":[221],"accuracy":[223],"CTR,":[225],"integrated":[227],"Newton's":[228],"identity":[229],"into":[230],"ALN.":[231],"ALIN":[232,268],"supplements":[233],"loss":[235],"information,":[237],"caused":[240],"becoming":[244],"adding":[248],"value":[252],"vector.":[256],"Experiments":[257],"conducted":[259],"two":[261],"results":[265],"prove":[266],"efficient":[270],"effective.":[272]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}