{"id":"https://openalex.org/W2020631728","doi":"https://doi.org/10.1145/1639714.1639717","title":"Collaborative prediction and ranking with non-random missing data","display_name":"Collaborative prediction and ranking with non-random missing data","publication_year":2009,"publication_date":"2009-10-23","ids":{"openalex":"https://openalex.org/W2020631728","doi":"https://doi.org/10.1145/1639714.1639717","mag":"2020631728"},"language":"en","primary_location":{"id":"doi:10.1145/1639714.1639717","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1639714.1639717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the third ACM conference on Recommender systems","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/A5023142437","display_name":"Benjamin M. Marlin","orcid":"https://orcid.org/0000-0002-2626-3410"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Benjamin M. Marlin","raw_affiliation_strings":["University of British Columbia, Vancouver, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000111344","display_name":"Richard S. Zemel","orcid":"https://orcid.org/0000-0001-9353-7509"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Richard S. Zemel","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada","University of Toronto, Toronto, On, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"University of Toronto, Toronto, On, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.3481,"has_fulltext":false,"cited_by_count":321,"citation_normalized_percentile":{"value":0.97720738,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9975000023841858,"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":0.9975000023841858,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9628000259399414,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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":0.9606000185012817,"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/missing-data","display_name":"Missing data","score":0.9137884974479675},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.8228312730789185},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8089632987976074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7043545842170715},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6638417840003967},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5527872443199158},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5336146354675293},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4774363934993744},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43785589933395386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40710389614105225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37657052278518677}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.9137884974479675},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8228312730789185},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8089632987976074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7043545842170715},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6638417840003967},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5527872443199158},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5336146354675293},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4774363934993744},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43785589933395386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40710389614105225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37657052278518677},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1639714.1639717","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1639714.1639717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the third ACM conference on Recommender systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.154.7692","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.154.7692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ubc.ca/~bmarlin/research/papers/acmrec2009-MarlinZemel.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W178169250","https://openalex.org/W1967921672","https://openalex.org/W2042281163","https://openalex.org/W2044758663","https://openalex.org/W2049633694","https://openalex.org/W2061460268","https://openalex.org/W2085937320","https://openalex.org/W2097951507","https://openalex.org/W2099866409","https://openalex.org/W2105862907","https://openalex.org/W2110325612","https://openalex.org/W2119384858","https://openalex.org/W2134584261","https://openalex.org/W2137245235","https://openalex.org/W2155912844","https://openalex.org/W2169038197","https://openalex.org/W2185902968","https://openalex.org/W2326945647","https://openalex.org/W2990138404","https://openalex.org/W3029645440","https://openalex.org/W4232980324","https://openalex.org/W4293775970","https://openalex.org/W6721667826","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"A":[0],"fundamental":[1],"aspect":[2],"of":[3,45,73,92,95,110],"rating-based":[4],"recommender":[5,28,82],"systems":[6,29],"is":[7,30],"the":[8,11,17,33,74,89,93,108],"observation":[9],"process,":[10],"process":[12],"by":[13],"which":[14],"users":[15],"choose":[16],"items":[18],"they":[19],"rate.":[20],"Nearly":[21],"all":[22],"research":[23],"on":[24,32,99,114],"collaborative":[25,100,115],"filtering":[26],"and":[27,61,102],"founded":[31],"assumption":[34],"that":[35,49],"missing":[36,39,46,53,75,97,112],"ratings":[37],"are":[38],"at":[40,76],"random.":[41],"The":[42],"statistical":[43],"theory":[44],"data":[47,54,98,113],"shows":[48],"incorrect":[50],"assumptions":[51],"about":[52],"can":[55],"lead":[56],"to":[57],"biased":[58],"parameter":[59],"estimation":[60],"prediction.":[62,116],"In":[63,84],"a":[64,80],"recent":[65],"study,":[66],"we":[67,87],"demonstrated":[68],"strong":[69],"evidence":[70],"for":[71],"violations":[72],"random":[77],"condition":[78],"in":[79],"real":[81],"system.":[83],"this":[85],"paper":[86],"present":[88],"first":[90],"study":[91],"effect":[94],"non-random":[96,111],"ranking,":[101],"extend":[103],"our":[104],"previous":[105],"results":[106],"regarding":[107],"impact":[109]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":43},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":32},{"year":2019,"cited_by_count":24},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":15},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":18},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":21}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
