{"id":"https://openalex.org/W2746910012","doi":"https://doi.org/10.1145/3109859.3109913","title":"Using Explainability for Constrained Matrix Factorization","display_name":"Using Explainability for Constrained Matrix Factorization","publication_year":2017,"publication_date":"2017-08-24","ids":{"openalex":"https://openalex.org/W2746910012","doi":"https://doi.org/10.1145/3109859.3109913","mag":"2746910012"},"language":"en","primary_location":{"id":"doi:10.1145/3109859.3109913","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3109859.3109913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh 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/A5038069200","display_name":"Behnoush Abdollahi","orcid":"https://orcid.org/0009-0004-2447-6481"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Behnoush Abdollahi","raw_affiliation_strings":["University of Louisville, Louisville, KY, USA"],"affiliations":[{"raw_affiliation_string":"University of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049581991","display_name":"Olfa Nasraoui","orcid":"https://orcid.org/0000-0003-0999-5385"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Olfa Nasraoui","raw_affiliation_strings":["University of Louisville, Louisville, KY, USA"],"affiliations":[{"raw_affiliation_string":"University of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038069200"],"corresponding_institution_ids":["https://openalex.org/I142740786"],"apc_list":null,"apc_paid":null,"fwci":18.209,"has_fulltext":false,"cited_by_count":110,"citation_normalized_percentile":{"value":0.99176323,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"83"},"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":0.9882000088691711,"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/T10028","display_name":"Topic Modeling","score":0.9800999760627747,"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/interpretability","display_name":"Interpretability","score":0.9210135340690613},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.843587338924408},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.8401127457618713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8356904983520508},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.7529585957527161},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.7025676965713501},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5782042145729065},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5650177001953125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46927347779273987},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39906540513038635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3897760808467865},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38571807742118835},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2253122627735138}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9210135340690613},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.843587338924408},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8401127457618713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8356904983520508},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7529585957527161},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.7025676965713501},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5782042145729065},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5650177001953125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46927347779273987},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39906540513038635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3897760808467865},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38571807742118835},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2253122627735138},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3109859.3109913","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3109859.3109913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:uknowledge.uky.edu:ccs2-1017","is_oa":false,"landing_page_url":"https://uknowledge.uky.edu/ccs2/2017/posters/5","pdf_url":null,"source":{"id":"https://openalex.org/S4306402622","display_name":"UKnowledge (University of Kentucky)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I143302722","host_organization_name":"University of Kentucky","host_organization_lineage":["https://openalex.org/I143302722"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Commonwealth Computational Summit","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5763598687","display_name":null,"funder_award_id":"KSEF-3113-RDE-017","funder_id":"https://openalex.org/F4320309436","funder_display_name":"Kentucky Science and Energy Foundation"}],"funders":[{"id":"https://openalex.org/F4320309436","display_name":"Kentucky Science and Energy Foundation","ror":"https://ror.org/02a4f2s68"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1500664688","https://openalex.org/W1968397045","https://openalex.org/W1971040550","https://openalex.org/W1994389483","https://openalex.org/W2042281163","https://openalex.org/W2054141820","https://openalex.org/W2056760161","https://openalex.org/W2085937320","https://openalex.org/W2100171245","https://openalex.org/W2114281505","https://openalex.org/W2130369780","https://openalex.org/W2134584261","https://openalex.org/W2137245235","https://openalex.org/W2152184085","https://openalex.org/W2219888463","https://openalex.org/W2523451931","https://openalex.org/W4232980324"],"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":{"Accurate":[0],"model-based":[1],"Collaborative":[2],"Filtering":[3],"(CF)":[4],"approaches,":[5],"such":[6,107],"as":[7,108],"Matrix":[8],"Factorization":[9],"(MF),":[10],"tend":[11],"to":[12,36],"be":[13],"black-box":[14],"machine":[15],"learning":[16],"models":[17,96],"that":[18,121,129,135],"lack":[19],"interpretability":[20],"and":[21,47,80,97,143],"do":[22],"not":[23],"provide":[24],"a":[25,41,65,81],"straightforward":[26],"explanation":[27],"for":[28],"their":[29],"outputs.":[30],"Yet":[31],"explanations":[32],"have":[33],"been":[34],"shown":[35],"improve":[37],"the":[38,53,57,70,100,123],"transparency":[39],"of":[40,102],"recommender":[42,66],"system":[43,67],"by":[44],"justifying":[45],"recommendations,":[46],"this":[48,90],"in":[49,56,63,140],"turn":[50],"can":[51],"enhance":[52],"user's":[54],"trust":[55],"recommendations.":[58,88,145],"Hence,":[59],"one":[60],"main":[61],"challenge":[62],"designing":[64],"is":[68,138],"mitigating":[69],"trade-off":[71],"between":[72],"an":[73,116],"explainable":[74,87,144],"technique":[75,84,120],"with":[76,85],"moderate":[77],"prediction":[78],"accuracy":[79],"more":[82],"accurate":[83,142],"no":[86],"In":[89],"paper,":[91],"we":[92],"focus":[93],"on":[94],"factorization":[95],"further":[98],"assume":[99],"absence":[101],"any":[103],"additional":[104],"data":[105],"source,":[106],"item":[109],"content":[110],"or":[111],"user":[112],"attributes.":[113],"We":[114],"propose":[115],"explainability":[117],"constrained":[118],"MF":[119],"computes":[122],"top-n":[124],"recommendation":[125],"list":[126],"from":[127],"items":[128],"are":[130],"explainable.":[131],"Experimental":[132],"results":[133],"show":[134],"our":[136],"method":[137],"effective":[139],"generating":[141]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}