{"id":"https://openalex.org/W2963683654","doi":"https://doi.org/10.1145/3331184.3331244","title":"The FacT","display_name":"The FacT","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W2963683654","doi":"https://doi.org/10.1145/3331184.3331244","mag":"2963683654"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3331184.3331244","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3331184.3331244","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3331184.3331244","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029226417","display_name":"Yiyi Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"funder","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyi Tao","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012522148","display_name":"Yiling Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"funder","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiling Jia","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003449839","display_name":"Nan Wang","orcid":"https://orcid.org/0000-0002-4562-3506"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"funder","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nan Wang","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085094109","display_name":"Hongning Wang","orcid":"https://orcid.org/0000-0002-6524-9195"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"funder","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongning Wang","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.998,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":33,"citation_normalized_percentile":{"value":0.999834,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"295","last_page":"304"},"is_retracted":false,"is_paratext":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/T10028","display_name":"Topic Modeling","score":0.9956,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9945,"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/tree","display_name":"Tree (set theory)","score":0.5573021},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.41717595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.751083},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5573021},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5511571},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4780441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45332566},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.45223448},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.41717595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38740262},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18766001},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13400167},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.1071004},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0868631},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3331184.3331244","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3331184.3331244","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1145/3331184.3331244","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3331184.3331244","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation","award_id":"IIS-1553568 CPS-1646501"}],"datasets":[],"versions":[],"referenced_works_count":43,"referenced_works":["https://openalex.org/W1500664688","https://openalex.org/W1678889691","https://openalex.org/W1750205245","https://openalex.org/W17854248","https://openalex.org/W1971040550","https://openalex.org/W2004657139","https://openalex.org/W2018571751","https://openalex.org/W2025019706","https://openalex.org/W2042281163","https://openalex.org/W2043545458","https://openalex.org/W2054141820","https://openalex.org/W2061873838","https://openalex.org/W2072893471","https://openalex.org/W2089566520","https://openalex.org/W2092556008","https://openalex.org/W2094790959","https://openalex.org/W2096260600","https://openalex.org/W2100233978","https://openalex.org/W2110325612","https://openalex.org/W2112447569","https://openalex.org/W2126159342","https://openalex.org/W2130369780","https://openalex.org/W2131305515","https://openalex.org/W2134584261","https://openalex.org/W2135790056","https://openalex.org/W2140310134","https://openalex.org/W2142972908","https://openalex.org/W2152184085","https://openalex.org/W2160409620","https://openalex.org/W2295739661","https://openalex.org/W2341865734","https://openalex.org/W2570774740","https://openalex.org/W2583875861","https://openalex.org/W2622684336","https://openalex.org/W2746910012","https://openalex.org/W2788376297","https://openalex.org/W2788730650","https://openalex.org/W2798331900","https://openalex.org/W2908054697","https://openalex.org/W2950627632","https://openalex.org/W2996852294","https://openalex.org/W3101366597","https://openalex.org/W3101422495"],"related_works":["https://openalex.org/W4289082820","https://openalex.org/W2963447120","https://openalex.org/W2963196945","https://openalex.org/W2907786475","https://openalex.org/W2516987005","https://openalex.org/W2351266481","https://openalex.org/W2132547887","https://openalex.org/W2093885745","https://openalex.org/W2092152400","https://openalex.org/W2071459461"],"abstract_inverted_index":{"Latent":[0],"factor":[1,31,116],"models":[2,32],"have":[3],"achieved":[4],"great":[5],"success":[6],"in":[7],"personalized":[8],"recommendations,":[9],"but":[10],"they":[11],"are":[12,85,100],"also":[13,157],"notoriously":[14],"difficult":[15],"to":[16,25,41,65,71,102],"explain.":[17],"In":[18],"this":[19],"work,":[20],"we":[21,48,99],"integrate":[22],"regression":[23,50,80,118],"trees":[24,51,70],"guide":[26],"the":[27,37,43,69,77,82,89,93,104,112,127,142,159],"learning":[28],"of":[29,79,106,114,136,144,162],"latent":[30,45,63,83,107],"for":[33,126],"recommendation,":[34],"and":[35,54,60,74,138],"use":[36],"learnt":[38],"tree":[39,94],"structure":[40],"explain":[42],"resulting":[44,128],"factors.":[46],"Specifically,":[47],"build":[49],"on":[52,68,117,132],"users":[53,73],"items":[55],"respectively":[56],"with":[57],"user-generated":[58],"reviews,":[59],"associate":[61],"a":[62,97],"profile":[64],"each":[66,115],"node":[67],"represent":[72],"items.":[75],"With":[76],"growth":[78],"tree,":[81],"factors":[84],"gradually":[86],"refined":[87],"under":[88],"regularization":[90],"imposed":[91],"by":[92,109,166],"structure.":[95],"As":[96],"result,":[98],"able":[101],"track":[103],"creation":[105],"profiles":[108],"looking":[110],"into":[111],"path":[113],"trees,":[119],"which":[120],"thus":[121],"serves":[122],"as":[123],"an":[124],"explanation":[125],"recommendations.":[129],"Extensive":[130],"experiments":[131],"two":[133],"large":[134],"collections":[135],"Amazon":[137],"Yelp":[139],"reviews":[140],"demonstrate":[141],"advantage":[143],"our":[145,153,167],"model":[146],"over":[147],"several":[148],"competitive":[149],"baseline":[150],"algorithms.":[151],"Besides,":[152],"extensive":[154],"user":[155],"study":[156],"confirms":[158],"practical":[160],"value":[161],"explainable":[163],"recommendations":[164],"generated":[165],"model.":[168]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2963683654","counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-02-15T23:37:43.697166","created_date":"2019-07-30"}