{"id":"https://openalex.org/W4384648463","doi":"https://doi.org/10.1145/3539618.3591654","title":"Contrastive Box Embedding for Collaborative Reasoning","display_name":"Contrastive Box Embedding for Collaborative Reasoning","publication_year":2023,"publication_date":"2023-07-18","ids":{"openalex":"https://openalex.org/W4384648463","doi":"https://doi.org/10.1145/3539618.3591654"},"language":"en","primary_location":{"id":"doi:10.1145/3539618.3591654","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007006789","display_name":"Tingting Liang","orcid":"https://orcid.org/0000-0003-1607-5771"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Liang","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1607-5771","affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014333379","display_name":"Y. Zhang","orcid":"https://orcid.org/0009-0006-5998-6697"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqing Zhang","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-5998-6697","affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092150899","display_name":"Qianhui Di","orcid":"https://orcid.org/0000-0002-2862-9084"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianhui Di","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2862-9084","affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015122283","display_name":"Congying Xia","orcid":"https://orcid.org/0000-0001-7581-0882"},"institutions":[{"id":"https://openalex.org/I4210155268","display_name":"Salesforce (United States)","ror":"https://ror.org/057315g56","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Congying Xia","raw_affiliation_strings":["Salesforce AI Research, Palo Alto, USA"],"raw_orcid":"https://orcid.org/0000-0001-7581-0882","affiliations":[{"raw_affiliation_string":"Salesforce AI Research, Palo Alto, USA","institution_ids":["https://openalex.org/I4210155268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052321895","display_name":"Youhuizi Li","orcid":"https://orcid.org/0000-0003-0042-7218"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youhuizi Li","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0042-7218","affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070185855","display_name":"Yuyu Yin","orcid":"https://orcid.org/0000-0001-7565-4111"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyu Yin","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7565-4111","affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"38","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9902999997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7945822477340698},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6010894179344177},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5297238230705261},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5279454588890076},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5243152379989624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5085798501968384},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4765385091304779},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.46782296895980835},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4047022759914398},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.373241126537323},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32117676734924316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7945822477340698},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6010894179344177},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5297238230705261},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5279454588890076},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5243152379989624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5085798501968384},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4765385091304779},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.46782296895980835},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4047022759914398},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.373241126537323},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32117676734924316},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3539618.3591654","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W1966553486","https://openalex.org/W1994389483","https://openalex.org/W2078488685","https://openalex.org/W2098502158","https://openalex.org/W2593390416","https://openalex.org/W2605350416","https://openalex.org/W2740920897","https://openalex.org/W2809307135","https://openalex.org/W2913754224","https://openalex.org/W2963367478","https://openalex.org/W2996931760","https://openalex.org/W2997359684","https://openalex.org/W3024683329","https://openalex.org/W3088203142","https://openalex.org/W3093531652","https://openalex.org/W3094587024","https://openalex.org/W3098406703","https://openalex.org/W3117719172","https://openalex.org/W3153088333","https://openalex.org/W3168355451","https://openalex.org/W3169799753","https://openalex.org/W3182452706","https://openalex.org/W3206127589","https://openalex.org/W3211142357","https://openalex.org/W4224325265","https://openalex.org/W4226314850","https://openalex.org/W4284701460","https://openalex.org/W4290875505","https://openalex.org/W4290944246","https://openalex.org/W6780716930"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W135044020","https://openalex.org/W2103058005"],"abstract_inverted_index":{"Most":[0],"of":[1,116,146,157,166,230],"the":[2,8,16,24,42,49,55,58,72,91,107,135,143,195,201,206,210,215,228,234],"existing":[3],"personalized":[4],"recommendation":[5,73,238],"methods":[6],"predict":[7],"probability":[9],"that":[10],"one":[11],"user":[12],"might":[13],"interact":[14],"with":[15,84,138,194],"next":[17,51],"item":[18],"by":[19,53],"matching":[20],"their":[21],"representations":[22,204],"in":[23,65,82,106,128,163,237],"latent":[25],"space.":[26],"However,":[27],"as":[28,74,98],"a":[29,75,99,103,129,175,187],"cognitive":[30,43],"task,":[31],"it":[32],"is":[33,80,111],"essential":[34],"for":[35,180,205],"an":[36,85],"impressive":[37],"recommender":[38,87],"system":[39],"to":[40,47,70,113,199],"acquire":[41],"capacity":[44],"rather":[45,101],"than":[46,102],"decide":[48],"users'":[50],"steps":[52],"learning":[54,178,192],"pattern":[56],"from":[57,90],"historical":[59,216],"interactions":[60],"through":[61],"matching-based":[62],"objectives.":[63],"Therefore,":[64],"this":[66],"paper,":[67],"we":[68,94,173],"propose":[69,174],"model":[71,114],"logical":[76,122,136,196,211],"reasoning":[77,197],"task":[78],"which":[79,110],"more":[81,130],"line":[83],"intelligent":[86],"system.":[88],"Different":[89],"prior":[92],"works,":[93],"embed":[95],"each":[96],"query":[97,137,212],"box":[100,139,158,189,203],"single":[104],"point":[105,165],"vector":[108],"space,":[109],"able":[112],"sets":[115],"users":[117],"or":[118],"items":[119],"enclosed":[120],"and":[121,160,209],"operators":[123],"(e.g.,":[124],"intersection)":[125],"over":[126,233],"boxes":[127],"natural":[131],"manner.":[132],"Although":[133],"modeling":[134],"embedding":[140],"significantly":[141],"improves":[142],"previous":[144],"work":[145],"reasoning-based":[147],"recommendation,":[148],"there":[149],"still":[150],"exist":[151],"two":[152,171],"intractable":[153],"issues":[154],"including":[155],"aggregation":[156],"embeddings":[159],"training":[161],"stalemate":[162],"critical":[164],"boxes.":[167],"To":[168],"tackle":[169],"these":[170],"limitations,":[172],"Contrastive":[176],"Box":[177],"framework":[179],"Collaborative":[181],"Reasoning":[182],"(CBox4CR).":[183],"Specifically,":[184],"CBox4CR":[185,232],"combines":[186],"smoothed":[188],"volume-based":[190],"contrastive":[191],"objective":[193,198],"learn":[200],"distinctive":[202],"user's":[207],"preference":[208],"based":[213],"on":[214,222],"interaction":[217],"sequence.":[218],"Extensive":[219],"experiments":[220],"conducted":[221],"four":[223],"publicly":[224],"available":[225],"datasets":[226],"demonstrate":[227],"superiority":[229],"our":[231],"state-of-the-art":[235],"models":[236],"task.":[239]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}