{"id":"https://openalex.org/W4224321244","doi":"https://doi.org/10.1145/3485447.3512027","title":"A Deep Markov Model for Clickstream Analytics in Online Shopping","display_name":"A Deep Markov Model for Clickstream Analytics in Online Shopping","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4224321244","doi":"https://doi.org/10.1145/3485447.3512027"},"language":"en","primary_location":{"id":"doi:10.1145/3485447.3512027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485447.3512027","pdf_url":null,"source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","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/A5012192444","display_name":"Y\u0131lmazcan \u00d6zyurt","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Yilmazcan Ozyurt","raw_affiliation_strings":["ETH Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057484411","display_name":"Tobias Hatt","orcid":"https://orcid.org/0000-0002-1823-728X"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Tobias Hatt","raw_affiliation_strings":["ETH Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383731","display_name":"Ce Zhang","orcid":"https://orcid.org/0000-0002-8105-7505"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ce Zhang","raw_affiliation_strings":["ETH Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081442873","display_name":"Stefan Feuerriegel","orcid":"https://orcid.org/0000-0001-7856-8729"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]},{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Feuerriegel","raw_affiliation_strings":["LMU Munich, Germany"],"affiliations":[{"raw_affiliation_string":"LMU Munich, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012192444"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":4.6918,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95180723,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3071","last_page":"3081"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9972000122070312,"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/T10068","display_name":"Technology Adoption and User Behaviour","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9905999898910522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/clickstream","display_name":"Clickstream","score":0.9829292297363281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7683364152908325},{"id":"https://openalex.org/keywords/purchasing","display_name":"Purchasing","score":0.6477314233779907},{"id":"https://openalex.org/keywords/online-advertising","display_name":"Online advertising","score":0.5639069080352783},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5547314882278442},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.49692943692207336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4483739137649536},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.4374552369117737},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.43373996019363403},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3608708381652832},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2781984210014343},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.1846713125705719},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.18291974067687988},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.1325433850288391},{"id":"https://openalex.org/keywords/web-navigation","display_name":"Web navigation","score":0.12779676914215088}],"concepts":[{"id":"https://openalex.org/C138744977","wikidata":"https://www.wikidata.org/wiki/Q5132438","display_name":"Clickstream","level":5,"score":0.9829292297363281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7683364152908325},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.6477314233779907},{"id":"https://openalex.org/C512338625","wikidata":"https://www.wikidata.org/wiki/Q624902","display_name":"Online advertising","level":3,"score":0.5639069080352783},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5547314882278442},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.49692943692207336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4483739137649536},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.4374552369117737},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.43373996019363403},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3608708381652832},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2781984210014343},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.1846713125705719},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.18291974067687988},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.1325433850288391},{"id":"https://openalex.org/C61096286","wikidata":"https://www.wikidata.org/wiki/Q7978592","display_name":"Web navigation","level":3,"score":0.12779676914215088},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C127613066","wikidata":"https://www.wikidata.org/wiki/Q557770","display_name":"Web API","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3485447.3512027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485447.3512027","pdf_url":null,"source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2006603393","https://openalex.org/W2039722754","https://openalex.org/W2066659825","https://openalex.org/W2081434183","https://openalex.org/W2110638361","https://openalex.org/W2116277390","https://openalex.org/W2169240294","https://openalex.org/W2341554990","https://openalex.org/W2364975838","https://openalex.org/W2509830164","https://openalex.org/W2519502568","https://openalex.org/W2562596959","https://openalex.org/W2605191235","https://openalex.org/W2625746539","https://openalex.org/W2739805805","https://openalex.org/W2783118243","https://openalex.org/W2801922753","https://openalex.org/W2903372156","https://openalex.org/W2945017395","https://openalex.org/W2957937874","https://openalex.org/W2984100107","https://openalex.org/W3003879029","https://openalex.org/W3008987849","https://openalex.org/W3098231197","https://openalex.org/W3124786583","https://openalex.org/W3160263899","https://openalex.org/W3187289530","https://openalex.org/W4230906481","https://openalex.org/W4237227762","https://openalex.org/W4256123490"],"related_works":["https://openalex.org/W3189010682","https://openalex.org/W3121555120","https://openalex.org/W4286419063","https://openalex.org/W2334894004","https://openalex.org/W175164097","https://openalex.org/W2212015221","https://openalex.org/W2100597815","https://openalex.org/W2125045187","https://openalex.org/W2972619757","https://openalex.org/W2892191716"],"abstract_inverted_index":{"Machine":[0],"learning":[1,19,57],"is":[2,174],"widely":[3],"used":[4],"in":[5,24,40,67,90,105,176,193,198],"e-commerce":[6,91,158,204,219],"to":[7,13,59,101,114,126,134,143,183,206,227],"analyze":[8],"clickstream":[9,25,106,153],"sessions":[10,163],"and":[11,108,195],"then":[12,222],"allocate":[14],"marketing":[15,46,68,225],"resources.":[16],"Traditional":[17],"neural":[18],"can":[20,221],"model":[21,58,78,113,150,173,202],"long-term":[22,103],"dependencies":[23,104],"data,":[26],"yet":[27],"it":[28,186],"ignores":[29],"the":[30,83,127,210],"different":[31,62,116],"shopping":[32,63,117,140],"phases":[33,64,118,141],"(i.":[34,119],"e.,":[35,120],"goal-directed":[36,121],"search":[37,122],"vs.":[38,123],"browsing)":[39],"user":[41,86,178],"behavior":[42],"as":[43,65],"theorized":[44],"by":[45,190],"research.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51,71,169],"develop":[52],"a":[53,73,110,156],"novel,":[54],"theory-informed":[55],"machine":[56],"account":[60],"for":[61,81],"defined":[66],"theory.":[69],"Specifically,":[70],"formalize":[72],"tailored":[74],"attentive":[75],"deep":[76],"Markov":[77],"called":[79],"ClickstreamDMM":[80,95,131],"predicting":[82,177],"risk":[84,211],"of":[85,161,212],"exits":[87,179],"without":[88,180,214],"purchase":[89,145],"web":[92],"sessions.":[93],"Our":[94],"combines":[96],"(1)":[97],"an":[98,188],"attention":[99],"network":[100],"learn":[102],"data":[107,154],"(2)":[109],"latent":[111],"variable":[112],"capture":[115],"browsing).":[124],"Due":[125],"interpretable":[128],"structure,":[129],"our":[130,149,172,201],"allows":[132],"marketers":[133],"generate":[135],"new":[136],"insights":[137],"on":[138,217],"how":[139],"relate":[142],"actual":[144],"behavior.":[146],"We":[147],"evaluate":[148],"using":[151],"real-world":[152],"from":[155],"leading":[157],"platform":[159],"consisting":[160],"26,279":[162],"with":[164,224],"250,287":[165],"page":[166],"clicks.":[167],"Thereby,":[168],"demonstrate":[170],"that":[171],"effective":[175],"purchase:":[181],"compared":[182],"existing":[184],"baselines,":[185],"achieves":[187],"improvement":[189],"11.5":[191],"%":[192,197],"AUROC":[194],"12.7":[196],"AUPRC.":[199],"Overall,":[200],"enables":[203],"platforms":[205,220],"detect":[207],"users":[208,229],"at":[209],"exiting":[213],"purchase.":[215],"Based":[216],"it,":[218],"intervene":[223],"resources":[226],"steer":[228],"toward":[230],"purchasing.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}