{"id":"https://openalex.org/W4403219555","doi":"https://doi.org/10.1145/3640457.3688048","title":"Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems","display_name":"Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems","publication_year":2024,"publication_date":"2024-10-08","ids":{"openalex":"https://openalex.org/W4403219555","doi":"https://doi.org/10.1145/3640457.3688048"},"language":"en","primary_location":{"id":"doi:10.1145/3640457.3688048","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688048","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688048","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688048","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092778157","display_name":"Timo Wilm","orcid":"https://orcid.org/0009-0000-3380-7992"},"institutions":[{"id":"https://openalex.org/I4210086827","display_name":"Otto Group (Germany)","ror":"https://ror.org/0049h1m27","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210086827"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Timo Wilm","raw_affiliation_strings":["OTTO (GmbH & Co KG), Germany"],"raw_orcid":"https://orcid.org/0009-0000-3380-7992","affiliations":[{"raw_affiliation_string":"OTTO (GmbH & Co KG), Germany","institution_ids":["https://openalex.org/I4210086827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092778158","display_name":"Philipp Normann","orcid":"https://orcid.org/0009-0009-5796-2992"},"institutions":[{"id":"https://openalex.org/I4210086827","display_name":"Otto Group (Germany)","ror":"https://ror.org/0049h1m27","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210086827"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philipp Normann","raw_affiliation_strings":["OTTO (GmbH & Co KG), Germany"],"raw_orcid":"https://orcid.org/0009-0009-5796-2992","affiliations":[{"raw_affiliation_string":"OTTO (GmbH & Co KG), Germany","institution_ids":["https://openalex.org/I4210086827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107823063","display_name":"Felix Stepprath","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086827","display_name":"Otto Group (Germany)","ror":"https://ror.org/0049h1m27","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210086827"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Felix Stepprath","raw_affiliation_strings":["OTTO (GmbH & Co KG), Germany"],"raw_orcid":"https://orcid.org/0009-0004-1484-2193","affiliations":[{"raw_affiliation_string":"OTTO (GmbH & Co KG), Germany","institution_ids":["https://openalex.org/I4210086827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210086827"],"apc_list":null,"apc_paid":null,"fwci":1.4907,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84429957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"809","last_page":"812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/session","display_name":"Session (web analytics)","score":0.8571122288703918},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7682400941848755},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.7300856113433838},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7241225242614746},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.546633243560791},{"id":"https://openalex.org/keywords/front","display_name":"Front (military)","score":0.4742157459259033},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3848496079444885},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35975372791290283},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24467167258262634},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23315399885177612},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13646671175956726},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0955115258693695}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8571122288703918},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7682400941848755},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.7300856113433838},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7241225242614746},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.546633243560791},{"id":"https://openalex.org/C2777551076","wikidata":"https://www.wikidata.org/wiki/Q842332","display_name":"Front (military)","level":2,"score":0.4742157459259033},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3848496079444885},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35975372791290283},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24467167258262634},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23315399885177612},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13646671175956726},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0955115258693695},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3640457.3688048","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688048","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688048","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2407.16828","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.16828","pdf_url":"https://arxiv.org/pdf/2407.16828","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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:10.1145/3640457.3688048","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688048","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688048","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403219555.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2017121215","https://openalex.org/W2103839413","https://openalex.org/W2156455250","https://openalex.org/W2626454364","https://openalex.org/W2747329762","https://openalex.org/W2963367478","https://openalex.org/W2964044287","https://openalex.org/W2972510393","https://openalex.org/W3081170586","https://openalex.org/W3099814932","https://openalex.org/W3102619277","https://openalex.org/W3153675609","https://openalex.org/W3183976931","https://openalex.org/W3200664681","https://openalex.org/W4212951676","https://openalex.org/W4225916762","https://openalex.org/W4226175509","https://openalex.org/W4296448351","https://openalex.org/W4382462163","https://openalex.org/W4385373545","https://openalex.org/W4386729794","https://openalex.org/W4387967434","https://openalex.org/W4390437710"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W1588199609","https://openalex.org/W2384474142","https://openalex.org/W1550055091","https://openalex.org/W2744462909","https://openalex.org/W3083133203","https://openalex.org/W1971520370"],"abstract_inverted_index":{"This":[0],"work":[1],"introduces":[2],"MultiTRON,":[3],"an":[4,72],"approach":[5,23],"that":[6,45,76],"adapts":[7],"Pareto":[8,55],"front":[9],"approximation":[10],"techniques":[11],"to":[12,59,62,108],"multi-objective":[13],"session-based":[14],"recommender":[15],"systems":[16],"using":[17],"a":[18,48,115],"transformer":[19],"neural":[20],"network.":[21],"Our":[22],"optimizes":[24],"trade-offs":[25],"between":[26],"key":[27],"metrics":[28],"such":[29],"as":[30],"click-through":[31],"and":[32,88,94],"conversion":[33],"rates":[34],"by":[35,70],"training":[36],"on":[37],"sampled":[38],"preference":[39],"vectors.":[40],"A":[41],"significant":[42],"advantage":[43],"is":[44,99],"after":[46],"training,":[47],"single":[49],"model":[50],"can":[51],"access":[52],"the":[53,64,78,82,96,105],"entire":[54],"front,":[56],"allowing":[57],"it":[58],"be":[60],"tailored":[61],"meet":[63],"specific":[65],"requirements":[66],"of":[67],"different":[68],"stakeholders":[69],"adjusting":[71],"additional":[73],"input":[74],"vector":[75],"weights":[77],"objectives.":[79],"We":[80],"validate":[81],"model\u2019s":[83,106],"performance":[84],"through":[85],"extensive":[86],"offline":[87],"online":[89],"evaluation.":[90],"For":[91],"broader":[92],"application":[93],"research,":[95],"source":[97],"code1":[98],"made":[100],"available.":[101],"The":[102],"results":[103],"confirm":[104],"ability":[107],"manage":[109],"multiple":[110],"recommendation":[111],"objectives":[112],"effectively,":[113],"offering":[114],"flexible":[116],"tool":[117],"for":[118],"diverse":[119],"business":[120],"needs.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}