{"id":"https://openalex.org/W3088301055","doi":"https://doi.org/10.1145/3383313.3412265","title":"Debiasing Item-to-Item Recommendations With Small Annotated Datasets","display_name":"Debiasing Item-to-Item Recommendations With Small Annotated Datasets","publication_year":2020,"publication_date":"2020-09-19","ids":{"openalex":"https://openalex.org/W3088301055","doi":"https://doi.org/10.1145/3383313.3412265","mag":"3088301055"},"language":"en","primary_location":{"id":"doi:10.1145/3383313.3412265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383313.3412265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth ACM Conference on Recommender Systems","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/A5063892002","display_name":"Tobias Schnabel","orcid":"https://orcid.org/0000-0002-9301-7631"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tobias Schnabel","raw_affiliation_strings":["Microsoft Research, United States"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, United States","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102869952","display_name":"Paul N. Bennett","orcid":"https://orcid.org/0000-0002-8846-5480"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul N. Bennett","raw_affiliation_strings":["Microsoft Research, United States"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, United States","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063892002"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":3.2028,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93376133,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9950000047683716,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9909999966621399,"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/debiasing","display_name":"Debiasing","score":0.9756872653961182},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7153651714324951},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4459637701511383},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.361348032951355},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14694097638130188}],"concepts":[{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.9756872653961182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7153651714324951},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4459637701511383},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.361348032951355},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14694097638130188},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3383313.3412265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383313.3412265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth ACM Conference on Recommender Systems","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":41,"referenced_works":["https://openalex.org/W1556861584","https://openalex.org/W1981403449","https://openalex.org/W1987431925","https://openalex.org/W1992665562","https://openalex.org/W2016883491","https://openalex.org/W2040367556","https://openalex.org/W2044758663","https://openalex.org/W2058880306","https://openalex.org/W2080224672","https://openalex.org/W2101409192","https://openalex.org/W2108790711","https://openalex.org/W2114353347","https://openalex.org/W2140310134","https://openalex.org/W2142144955","https://openalex.org/W2143891888","https://openalex.org/W2157519573","https://openalex.org/W2159094788","https://openalex.org/W2169038197","https://openalex.org/W2219888463","https://openalex.org/W2347142040","https://openalex.org/W2480680997","https://openalex.org/W2507134384","https://openalex.org/W2508504774","https://openalex.org/W2512971201","https://openalex.org/W2629213068","https://openalex.org/W2891520095","https://openalex.org/W2892888989","https://openalex.org/W2893241293","https://openalex.org/W2894060880","https://openalex.org/W2908054697","https://openalex.org/W2949547296","https://openalex.org/W2952613481","https://openalex.org/W2957191877","https://openalex.org/W2964121744","https://openalex.org/W2964316331","https://openalex.org/W2964341035","https://openalex.org/W2972722138","https://openalex.org/W2972726550","https://openalex.org/W3103310105","https://openalex.org/W3105114834","https://openalex.org/W3150893739"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4362554880","https://openalex.org/W4281684980","https://openalex.org/W4386875279","https://openalex.org/W2171721708","https://openalex.org/W4390963114","https://openalex.org/W4287887864","https://openalex.org/W3214527415"],"abstract_inverted_index":{"Item-to-item":[0],"recommendation":[1,16,64],"(e.g.,":[2],"\u201cPeople":[3],"who":[4],"like":[5],"this":[6,55],"also":[7],"like...\u201d)":[8],"is":[9,45],"a":[10,59,71,83],"ubiquitous":[11],"and":[12,69,73],"important":[13],"type":[14],"of":[15,103],"in":[17,27],"real-world":[18],"systems.":[19],"Observational":[20],"data":[21,35],"from":[22,82],"historical":[23],"interaction":[24],"logs":[25],"abound":[26],"these":[28,52],"settings.":[29],"However,":[30],"since":[31],"virtually":[32],"all":[33],"observational":[34],"exhibit":[36],"biases,":[37,43],"such":[38],"as":[39],"time-in-inventory":[40],"or":[41],"interface":[42],"it":[44],"crucial":[46],"that":[47,90],"recommender":[48],"algorithms":[49],"account":[50],"for":[51,62,77],"biases.":[53],"In":[54],"paper,":[56],"we":[57,88],"develop":[58],"principled":[60],"approach":[61,92],"item-to-item":[63],"based":[65],"on":[66],"causal":[67,80],"inference":[68],"present":[70],"practical":[72],"highly":[74],"effective":[75],"method":[76],"estimating":[78],"the":[79],"parameters":[81],"small":[84,101],"annotated":[85,104],"dataset.":[86],"Empirically,":[87],"find":[89],"our":[91],"substantially":[93],"improves":[94],"upon":[95],"existing":[96],"methods":[97],"while":[98],"requiring":[99],"only":[100],"amounts":[102],"data.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
