{"id":"https://openalex.org/W4385968297","doi":"https://doi.org/10.1145/3604915.3608803","title":"Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping","display_name":"Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4385968297","doi":"https://doi.org/10.1145/3604915.3608803"},"language":"en","primary_location":{"id":"doi:10.1145/3604915.3608803","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3604915.3608803","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3604915.3608803","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3604915.3608803","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100351330","display_name":"Ming Li","orcid":"https://orcid.org/0000-0001-7430-4961"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Ming Li","raw_affiliation_strings":["University of Amsterdam, Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-7430-4961","affiliations":[{"raw_affiliation_string":"University of Amsterdam, Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032426533","display_name":"Mozhdeh Ariannezhad","orcid":"https://orcid.org/0000-0002-1113-8094"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mozhdeh Ariannezhad","raw_affiliation_strings":["University of Amsterdam, Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-1113-8094","affiliations":[{"raw_affiliation_string":"University of Amsterdam, Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059489981","display_name":"Andrew Yates","orcid":"https://orcid.org/0000-0002-5970-880X"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Andrew Yates","raw_affiliation_strings":["University of Amsterdam, Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-5970-880X","affiliations":[{"raw_affiliation_string":"University of Amsterdam, Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031439294","display_name":"Maarten de Rijke","orcid":"https://orcid.org/0000-0002-1086-0202"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Maarten de Rijke","raw_affiliation_strings":["University of Amsterdam, Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-1086-0202","affiliations":[{"raw_affiliation_string":"University of Amsterdam, Netherlands","institution_ids":["https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100351330"],"corresponding_institution_ids":["https://openalex.org/I887064364"],"apc_list":null,"apc_paid":null,"fwci":6.7263,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.96849616,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"35","last_page":"46"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.965499997138977,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9541000127792358,"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/computer-science","display_name":"Computer science","score":0.796384334564209},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6282051801681519},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6072710752487183},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5830551981925964},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.5819635391235352},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5050573945045471},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38305675983428955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34804612398147583},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33933335542678833},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06366536021232605}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.796384334564209},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6282051801681519},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6072710752487183},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5830551981925964},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.5819635391235352},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5050573945045471},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38305675983428955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34804612398147583},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33933335542678833},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06366536021232605},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3604915.3608803","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3604915.3608803","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3604915.3608803","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2308.01308","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.01308","pdf_url":"https://arxiv.org/pdf/2308.01308","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:10.1145/3604915.3608803","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3604915.3608803","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3604915.3608803","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1170253041","display_name":null,"funder_award_id":"20190607154","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G6280615682","display_name":null,"funder_award_id":"NWA.1389.20.183","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320321799","display_name":"Ministerie van Onderwijs, Cultuur en Wetenschap","ror":"https://ror.org/02x3w5g21"},{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385968297.pdf","grobid_xml":"https://content.openalex.org/works/W4385968297.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1971040550","https://openalex.org/W2116341502","https://openalex.org/W2171279286","https://openalex.org/W2194775991","https://openalex.org/W2270070752","https://openalex.org/W2474909202","https://openalex.org/W2562236173","https://openalex.org/W2626454364","https://openalex.org/W2783272285","https://openalex.org/W2809307135","https://openalex.org/W2896962583","https://openalex.org/W2899457523","https://openalex.org/W2951227353","https://openalex.org/W2957191877","https://openalex.org/W2964044287","https://openalex.org/W2964648863","https://openalex.org/W2984100107","https://openalex.org/W2995671040","https://openalex.org/W2997310152","https://openalex.org/W3034352512","https://openalex.org/W3034548041","https://openalex.org/W3036125691","https://openalex.org/W3042251391","https://openalex.org/W3101707147","https://openalex.org/W3102619277","https://openalex.org/W3105114834","https://openalex.org/W3106400975","https://openalex.org/W3153687708","https://openalex.org/W3204257979","https://openalex.org/W4207008429","https://openalex.org/W4283373299","https://openalex.org/W4284678427","https://openalex.org/W4296591828"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W4386392971"],"abstract_inverted_index":{"Next":[0],"basket":[1,41,89,99,152,172],"recommendation":[2,25,42,90,153],"(NBR)":[3],"is":[4,23,45,107,157,214],"the":[5,9,34,86,94,124,138,143,218,222,239,250],"task":[6,26,95,126],"of":[7,12,18,36,96,103,169,241],"predicting":[8],"next":[10,40,87],"set":[11],"items":[13,53,64],"based":[14],"on":[15,81,123,159,229],"a":[16,24,55,66,98,148,255],"sequence":[17],"already":[19],"purchased":[20],"baskets.":[21,224],"It":[22],"that":[27,54,65,100],"has":[28,57,68,134],"been":[29,135],"widely":[30],"studied,":[31],"especially":[32],"in":[33],"context":[35],"grocery":[37],"shopping.":[38],"In":[39,208],"(NBR),":[43],"it":[44],"useful":[46],"to":[47,216],"distinguish":[48],"between":[49],"repeat":[50,82],"items,":[51,62,105],"i.e.,":[52,63,93],"user":[56,67],"consumed":[58,70],"before,":[59],"and":[60,113,127,165,180,185,204,243,246,259],"explore":[61,202],"not":[69],"before.":[71],"Most":[72],"NBR":[73,114,120],"work":[74],"either":[75],"ignores":[76],"this":[77],"distinction":[78],"or":[79],"focuses":[80],"items.":[83],"We":[84,116,225],"formulate":[85],"novel":[88,104],"(NNBR)":[91],"task,":[92,145],"recommending":[97],"only":[101],"consists":[102],"which":[106,156],"valuable":[108],"for":[109,249],"both":[110],"real-world":[111],"application":[112],"evaluation.":[115],"evaluate":[117],"how":[118],"existing":[119],"methods":[121],"perform":[122],"NNBR":[125,139,144,251,265],"find":[128],"that,":[129],"so":[130],"far,":[131],"limited":[132],"progress":[133],"made":[136],"w.r.t.":[137],"task.":[140,252],"To":[141,174],"address":[142],"we":[146,178],"propose":[147,179],"simple":[149],"bi-directional":[150],"transformer":[151],"model":[154],"(BTBR),":[155],"focused":[158],"directly":[160],"modeling":[161],"item-to-item":[162],"correlations":[163],"within":[164,221],"across":[166],"baskets":[167],"instead":[168],"learning":[170],"complex":[171],"representations.":[173],"properly":[175,256],"train":[176],"BTBR,":[177],"investigate":[181],"several":[182],"masking":[183,245,258],"strategies":[184,248],"training":[186],"objectives:":[187],"(i)":[188],"item-level":[189,193],"random":[190],"masking,":[191,195,199,203],"(ii)":[192],"select":[194],"(iii)":[196],"basket-level":[197,201],"all":[198],"(iv)":[200],"(v)":[205],"joint":[206],"masking.":[207],"addition,":[209],"an":[210],"item-basket":[211],"swapping":[212,247,260],"strategy":[213,261],"proposed":[215],"enrich":[217],"item":[219],"interactions":[220],"same":[223],"conduct":[226],"extensive":[227],"experiments":[228],"three":[230],"open":[231],"datasets":[232],"with":[233,254],"various":[234],"characteristics.":[235],"The":[236],"results":[237],"demonstrate":[238],"effectiveness":[240],"BTBR":[242,253],"our":[244],"selected":[257],"can":[262],"substantially":[263],"improve":[264],"performance.":[266]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}