{"id":"https://openalex.org/W2742600417","doi":"https://doi.org/10.1145/3106426.3109441","title":"Emotions and fashion recommendations","display_name":"Emotions and fashion recommendations","publication_year":2017,"publication_date":"2017-08-10","ids":{"openalex":"https://openalex.org/W2742600417","doi":"https://doi.org/10.1145/3106426.3109441","mag":"2742600417"},"language":"en","primary_location":{"id":"doi:10.1145/3106426.3109441","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3109441","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","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/A5036970773","display_name":"Alexander Piazza","orcid":"https://orcid.org/0009-0000-1246-3377"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Alexander Piazza","raw_affiliation_strings":["University of Erlangen-Nuremberg, Nuremberg"],"affiliations":[{"raw_affiliation_string":"University of Erlangen-Nuremberg, Nuremberg","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074915151","display_name":"Pavlina Kr\u00f6ckel","orcid":"https://orcid.org/0000-0003-2076-2769"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pavlina Kr\u00f6ckel","raw_affiliation_strings":["University of Erlangen-Nuremberg, Nuremberg"],"affiliations":[{"raw_affiliation_string":"University of Erlangen-Nuremberg, Nuremberg","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045675973","display_name":"Freimut Bodendorf","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Freimut Bodendorf","raw_affiliation_strings":["University of Erlangen-Nuremberg, Nuremberg"],"affiliations":[{"raw_affiliation_string":"University of Erlangen-Nuremberg, Nuremberg","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036970773"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":1.9896,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88766114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1234","last_page":"1240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9861999750137329,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7611881494522095},{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.7536948919296265},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6934019923210144},{"id":"https://openalex.org/keywords/purchasing","display_name":"Purchasing","score":0.5516975522041321},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5240345597267151},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5204896330833435},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4880763292312622},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.45097607374191284},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42725878953933716},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4252471923828125},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.42196163535118103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.402248352766037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31937363743782043},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.24344688653945923},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.14748609066009521},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08625021576881409},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07884100079536438}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7611881494522095},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.7536948919296265},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6934019923210144},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.5516975522041321},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5240345597267151},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5204896330833435},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4880763292312622},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.45097607374191284},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42725878953933716},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4252471923828125},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.42196163535118103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.402248352766037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31937363743782043},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24344688653945923},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.14748609066009521},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08625021576881409},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07884100079536438},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3106426.3109441","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3109441","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","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":35,"referenced_works":["https://openalex.org/W1526177524","https://openalex.org/W1963826206","https://openalex.org/W1964415811","https://openalex.org/W1964507417","https://openalex.org/W1966797434","https://openalex.org/W1973616272","https://openalex.org/W1998889130","https://openalex.org/W2002834872","https://openalex.org/W2003653478","https://openalex.org/W2054141820","https://openalex.org/W2089349245","https://openalex.org/W2094286023","https://openalex.org/W2096298448","https://openalex.org/W2100314224","https://openalex.org/W2101234009","https://openalex.org/W2108646579","https://openalex.org/W2112347119","https://openalex.org/W2121739212","https://openalex.org/W2130868038","https://openalex.org/W2134789597","https://openalex.org/W2146292423","https://openalex.org/W2148905283","https://openalex.org/W2159017231","https://openalex.org/W2162753443","https://openalex.org/W2295739661","https://openalex.org/W2403166125","https://openalex.org/W2463375696","https://openalex.org/W2473636365","https://openalex.org/W2483307068","https://openalex.org/W2626660631","https://openalex.org/W2970485787","https://openalex.org/W3111472409","https://openalex.org/W4285719527","https://openalex.org/W4292994367","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W4390273403","https://openalex.org/W2380820513","https://openalex.org/W4386781444","https://openalex.org/W2913146933","https://openalex.org/W3092950680","https://openalex.org/W2372385138","https://openalex.org/W4296359239"],"abstract_inverted_index":{"Emotions":[0],"have":[1],"a":[2,49,118,171,183],"significant":[3],"impact":[4,51,74,173],"on":[5,52,61,78,174],"the":[6,31,38,45,53,65,73,85,91,98,102,107,130,134,138,142,157,167,175,179],"purchasing":[7],"process.":[8],"Due":[9],"to":[10,106],"novel":[11],"affective":[12,15,41,76,147],"computing":[13],"approaches,":[14],"information":[16,43,132,148,169,181],"of":[17,33,40,75,84,156],"users":[18],"can":[19],"be":[20],"acquired":[21],"in":[22,30,44,64,97,162],"implicit":[23],"and":[24,94,101,125,137],"therefore":[25],"non-intrusive":[26],"manner.":[27],"Recent":[28],"research":[29,58],"field":[32],"recommender":[34,54],"systems":[35,55],"indicates":[36],"that":[37,161],"incorporation":[39],"user":[42],"prediction":[46,99,176],"model":[47,109],"has":[48,170,182],"positive":[50,172],"accuracy.":[56],"Existing":[57],"mainly":[59],"focused":[60],"product":[62],"recommendations":[63],"movie":[66],"anfd":[67],"music":[68],"domain.":[69],"Our":[70],"paper":[71],"investigates":[72],"emotions":[77],"fashion":[79],"products,":[80,124],"which":[81],"is":[82,149],"one":[83],"largest":[86],"consumer":[87],"industries.":[88],"We":[89,128],"integrate":[90],"users'":[92],"mood":[93,131,168],"their":[95],"emotion":[96,139,180],"model,":[100],"results":[103],"are":[104],"compared":[105],"baseline":[108],"using":[110,133,141],"rating":[111],"data":[112],"only.":[113],"For":[114],"this,":[115],"we":[116],"generate":[117],"dataset":[119],"with":[120],"337":[121],"participants,":[122],"64":[123],"10816":[126],"ratings.":[127],"determine":[129],"PANAS":[135],"questionnaire,":[136],"by":[140],"SAM":[143],"self-assessment":[144],"method.":[145],"The":[146,154],"integrated":[150],"leveraging":[151],"Factorization":[152],"Machines.":[153],"evaluation":[155],"offline":[158],"experiments":[159],"reveals":[160],"new":[163],"item":[164],"cold-start":[165],"scenarios":[166],"accuracy,":[177],"whereas":[178],"negative":[184],"impact.":[185]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}