{"id":"https://openalex.org/W2515411340","doi":"https://doi.org/10.1145/2959100.2959125","title":"A Cross-Industry Machine Learning Framework with Explicit Representations","display_name":"A Cross-Industry Machine Learning Framework with Explicit Representations","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2515411340","doi":"https://doi.org/10.1145/2959100.2959125","mag":"2515411340"},"language":"en","primary_location":{"id":"doi:10.1145/2959100.2959125","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2959100.2959125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th 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/A5023469277","display_name":"Denise Ichinco","orcid":null},"institutions":[{"id":"https://openalex.org/I1317171322","display_name":"National Archives and Records Administration","ror":"https://ror.org/032214n64","country_code":"US","type":"archive","lineage":["https://openalex.org/I1317171322"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Denise Ichinco","raw_affiliation_strings":["Nara Logics, Inc, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Logics, Inc, Cambridge, MA, USA","institution_ids":["https://openalex.org/I1317171322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019229706","display_name":"Sahil Zubair","orcid":null},"institutions":[{"id":"https://openalex.org/I1317171322","display_name":"National Archives and Records Administration","ror":"https://ror.org/032214n64","country_code":"US","type":"archive","lineage":["https://openalex.org/I1317171322"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sahil Zubair","raw_affiliation_strings":["Nara Logics, Inc, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Logics, Inc, Cambridge, MA, USA","institution_ids":["https://openalex.org/I1317171322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088211600","display_name":"Jana Eggers","orcid":null},"institutions":[{"id":"https://openalex.org/I1317171322","display_name":"National Archives and Records Administration","ror":"https://ror.org/032214n64","country_code":"US","type":"archive","lineage":["https://openalex.org/I1317171322"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jana Eggers","raw_affiliation_strings":["Nara Logics, Inc, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Logics, Inc, Cambridge, MA, USA","institution_ids":["https://openalex.org/I1317171322"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016000005","display_name":"Nathan Wilson","orcid":"https://orcid.org/0000-0001-5548-9796"},"institutions":[{"id":"https://openalex.org/I1317171322","display_name":"National Archives and Records Administration","ror":"https://ror.org/032214n64","country_code":"US","type":"archive","lineage":["https://openalex.org/I1317171322"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan Wilson","raw_affiliation_strings":["Nara Logics, Inc, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Logics, Inc, Cambridge, MA, USA","institution_ids":["https://openalex.org/I1317171322"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1317171322"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05500017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"383","last_page":"383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.8046000003814697,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.8046000003814697,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.728600025177002,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7638718485832214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7144988775253296},{"id":"https://openalex.org/keywords/hospitality","display_name":"Hospitality","score":0.4918653964996338},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.4517570734024048},{"id":"https://openalex.org/keywords/hospitality-industry","display_name":"Hospitality industry","score":0.44321489334106445},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4344809949398041},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3885573148727417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38513368368148804},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3594469428062439},{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.14015290141105652},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.13412609696388245},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.12852296233177185}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7638718485832214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7144988775253296},{"id":"https://openalex.org/C107482638","wikidata":"https://www.wikidata.org/wiki/Q815825","display_name":"Hospitality","level":3,"score":0.4918653964996338},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.4517570734024048},{"id":"https://openalex.org/C525551149","wikidata":"https://www.wikidata.org/wiki/Q1495452","display_name":"Hospitality industry","level":3,"score":0.44321489334106445},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4344809949398041},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3885573148727417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38513368368148804},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3594469428062439},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.14015290141105652},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.13412609696388245},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.12852296233177185},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2959100.2959125","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2959100.2959125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3167248615","https://openalex.org/W3195436559","https://openalex.org/W40154911","https://openalex.org/W2057290649","https://openalex.org/W250174581","https://openalex.org/W2373766366","https://openalex.org/W3171522609","https://openalex.org/W2029400148","https://openalex.org/W4301934261","https://openalex.org/W2951269499"],"abstract_inverted_index":{"At":[0],"Nara":[1],"Logics,":[2],"we":[3],"provide":[4,89],"recommendations":[5,60,76,103],"for":[6,18,25],"ecommerce,":[7],"supply":[8],"chain,":[9],"financial":[10],"services,":[11],"travel":[12],"&":[13],"hospitality,":[14],"operations":[15],"and":[16,42,73,87],"more":[17,61,78],"the":[19],"Global":[20],"200.":[21],"We've":[22],"learned":[23],"that":[24],"machine":[26,75],"intelligence":[27],"to":[28,40,91],"be":[29],"accepted,":[30],"it":[31],"must":[32],"interact":[33],"seamlessly":[34],"with":[35],"humans,":[36,41],"expose":[37],"its":[38,51],"reasoning":[39],"even":[43],"incorporate":[44],"human":[45],"feedback":[46,90],"in":[47],"real":[48],"time":[49],"into":[50],"decision":[52],"making.":[53],"Just":[54],"as":[55,98],"you":[56,64],"take":[57],"your":[58,71],"friends'":[59],"seriously":[62],"when":[63,80],"can":[65,88],"probe":[66],"their":[67],"mental":[68],"model":[69],"of":[70],"likes":[72],"dislikes,":[74],"are":[77,96],"appealing":[79],"users":[81],"understand":[82],"how":[83],"they":[84],"were":[85],"generated":[86],"those":[92],"recommendations.":[93],"These":[94],"aspects":[95],"necessary":[97],"commercial":[99],"interfaces":[100],"increasingly":[101],"leverage":[102],"alongside":[104],"statistical":[105],"analysis.":[106]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}