{"id":"https://openalex.org/W4382680400","doi":"https://doi.org/10.1145/3606950","title":"Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain","display_name":"Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain","publication_year":2023,"publication_date":"2023-06-30","ids":{"openalex":"https://openalex.org/W4382680400","doi":"https://doi.org/10.1145/3606950"},"language":"en","primary_location":{"id":"doi:10.1145/3606950","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3606950","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3606950","source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3606950","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055336085","display_name":"Simone Borg Bruun","orcid":"https://orcid.org/0000-0003-1619-4076"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Simone Borg Bruun","raw_affiliation_strings":["Department of Computer Science, University of Copenhagen, Kobenhavn, Denmark"],"raw_orcid":"https://orcid.org/0000-0003-1619-4076","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Copenhagen, Kobenhavn, Denmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045425016","display_name":"Christina Lioma","orcid":"https://orcid.org/0000-0003-2600-2701"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Christina Lioma","raw_affiliation_strings":["Department of Computer Science, University of Copenhagen, Kobenhavn, Denmark"],"raw_orcid":"https://orcid.org/0000-0003-2600-2701","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Copenhagen, Kobenhavn, Denmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078639165","display_name":"Maria Maistro","orcid":"https://orcid.org/0000-0002-7001-4817"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Maria Maistro","raw_affiliation_strings":["Department of Computer Science, University of Copenhagen, Kobenhavn, Denmark"],"raw_orcid":"https://orcid.org/0000-0002-7001-4817","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Copenhagen, Kobenhavn, Denmark","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I124055696"],"apc_list":null,"apc_paid":null,"fwci":0.828,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7753341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"3","issue":"1","first_page":"1","last_page":"24"},"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/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.9358999729156494,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9297000169754028,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision 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":0.7567833065986633},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.7458568811416626},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.7149519324302673},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.5847705006599426},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5377761125564575},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5375504493713379},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4220725893974304},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36755824089050293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32575324177742004},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2265467643737793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7567833065986633},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.7458568811416626},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.7149519324302673},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.5847705006599426},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5377761125564575},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5375504493713379},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4220725893974304},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36755824089050293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32575324177742004},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2265467643737793},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3606950","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3606950","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3606950","source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2403.00368","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.00368","pdf_url":"https://arxiv.org/pdf/2403.00368","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3606950","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3606950","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3606950","source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382680400.pdf","grobid_xml":"https://content.openalex.org/works/W4382680400.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W178169250","https://openalex.org/W1764008395","https://openalex.org/W1964089131","https://openalex.org/W2040367556","https://openalex.org/W2096207368","https://openalex.org/W2115387555","https://openalex.org/W2150886314","https://openalex.org/W2159094788","https://openalex.org/W2167277498","https://openalex.org/W2404122451","https://openalex.org/W2584643785","https://openalex.org/W2602856279","https://openalex.org/W2625746539","https://openalex.org/W2626454364","https://openalex.org/W2699794116","https://openalex.org/W2745625336","https://openalex.org/W2746011824","https://openalex.org/W2747842453","https://openalex.org/W2795199972","https://openalex.org/W2808310571","https://openalex.org/W2899457523","https://openalex.org/W2901334976","https://openalex.org/W2913059114","https://openalex.org/W2953831886","https://openalex.org/W2955054257","https://openalex.org/W2962945683","https://openalex.org/W2964044287","https://openalex.org/W2964199361","https://openalex.org/W2982267219","https://openalex.org/W2987577970","https://openalex.org/W2999362542","https://openalex.org/W3021213371","https://openalex.org/W3034352512","https://openalex.org/W3034675204","https://openalex.org/W3034907508","https://openalex.org/W3092103025","https://openalex.org/W3093891819","https://openalex.org/W3098231197","https://openalex.org/W3098559571","https://openalex.org/W3101063193","https://openalex.org/W3101064725","https://openalex.org/W3101707147","https://openalex.org/W3102619277","https://openalex.org/W3105472188","https://openalex.org/W3125645198","https://openalex.org/W3163731277","https://openalex.org/W3164378906","https://openalex.org/W4296591868"],"related_works":["https://openalex.org/W1571141552","https://openalex.org/W4296749040","https://openalex.org/W4230197055","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W4390273403","https://openalex.org/W2497198634","https://openalex.org/W3012257603","https://openalex.org/W1586784764","https://openalex.org/W4292264782"],"abstract_inverted_index":{"Providing":[0],"personalized":[1],"recommendations":[2],"for":[3,186],"insurance":[4,18,82,149],"products":[5],"is":[6,37,44],"particularly":[7],"challenging":[8],"due":[9,47],"to":[10,48,60,75,129,198],"the":[11,17,41,49,54,65,81,139,170,187],"intrinsic":[12],"and":[13,28,40,96,101,114,159,178,189,201],"distinctive":[14],"features":[15],"of":[16,34,52,56,68,93,117,181],"domain.":[19,83],"First,":[20],"unlike":[21],"more":[22],"traditional":[23],"domains":[24],"like":[25],"retail,":[26],"movie":[27],"so":[29],"on,":[30],"a":[31,131,147],"large":[32],"amount":[33],"user":[35,118],"feedback":[36],"not":[38,136,194],"available":[39],"item":[42],"catalog":[43],"smaller.":[45],"Second,":[46],"higher":[50],"complexity":[51],"products,":[53],"majority":[55],"users":[57],"still":[58],"prefer":[59],"complete":[61],"their":[62],"purchases":[63],"over":[64],"phone":[66],"instead":[67],"online.":[69],"We":[70,84],"present":[71],"different":[72,91,115],"recommender":[73],"models":[74,104,127,142,165,192],"address":[76],"such":[77],"data":[78,107,168],"scarcity":[79,108],"in":[80],"use":[85],"recurrent":[86],"neural":[87],"networks":[88],"with":[89,106,151,166,196],"three":[90],"types":[92,116,180],"loss":[94],"functions":[95],"architectures":[97],"(cross-entropy,":[98],"censored":[99],"Weibull,":[100],"attention).":[102],"Our":[103,141],"cope":[105],"by":[109],"learning":[110],"from":[111,122],"multiple":[112,176],"sessions":[113,177],"actions.":[119],"Moreover,":[120,162],"differently":[121],"previous":[123],"session-based":[124],"models,":[125,188],"our":[126,164,191],"learn":[128],"predict":[130],"target":[132],"action":[133],"that":[134,174,190],"does":[135],"happen":[137],"within":[138],"session.":[140],"outperform":[143],"state-of-the-art":[144],"baselines":[145],"on":[146],"real-world":[148],"dataset,":[150],"ca.":[152],"44K":[153],"users,":[154],"16":[155],"items,":[156],"54K":[157],"purchases,":[158],"117K":[160],"sessions.":[161],"combining":[163],"demographic":[167],"boosts":[169],"performance.":[171],"Analysis":[172],"shows":[173],"considering":[175],"several":[179],"actions":[182],"are":[183,193],"both":[184],"beneficial":[185],"unfair":[195],"respect":[197],"age,":[199],"gender,":[200],"income.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}