{"id":"https://openalex.org/W2296540299","doi":"https://doi.org/10.1109/bigcomp.2016.7425942","title":"A phrase-based model to discover hidden factors and hidden topics in recommender systems","display_name":"A phrase-based model to discover hidden factors and hidden topics in recommender systems","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2296540299","doi":"https://doi.org/10.1109/bigcomp.2016.7425942","mag":"2296540299"},"language":"en","primary_location":{"id":"doi:10.1109/bigcomp.2016.7425942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2016.7425942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Big Data and Smart Computing (BigComp)","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/A5103220170","display_name":"Liping Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Liping Guan","raw_affiliation_strings":["Department of Computer Science and Engineering, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103821999","display_name":"Md. Hijbul Alam","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Md. Hijbul Alam","raw_affiliation_strings":["Department of Computer Science and Engineering, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001885288","display_name":"Woo-Jong Ryu","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woo-Jong Ryu","raw_affiliation_strings":["Department of Computer Science and Engineering, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101595608","display_name":"SangKeun Lee","orcid":"https://orcid.org/0000-0002-6249-8217"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"SangKeun Lee","raw_affiliation_strings":["Department of Computer Science and Engineering, Korea University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103220170"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":1.327,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85156236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"337","last_page":"340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987999796867371,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9983000159263611,"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/perplexity","display_name":"Perplexity","score":0.9426431059837341},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8549720644950867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8299423456192017},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.7225338816642761},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.681205689907074},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.631541907787323},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5984930396080017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5030452609062195},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.46754875779151917},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4290333390235901},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4101316034793854},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3635590672492981},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3327614963054657},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.18591633439064026}],"concepts":[{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.9426431059837341},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8549720644950867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8299423456192017},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.7225338816642761},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.681205689907074},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.631541907787323},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5984930396080017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5030452609062195},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.46754875779151917},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4290333390235901},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4101316034793854},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3635590672492981},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3327614963054657},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.18591633439064026},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":1,"locations":[{"id":"doi:10.1109/bigcomp.2016.7425942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2016.7425942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Big Data and Smart Computing (BigComp)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6100000143051147,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1530276735","https://openalex.org/W1880262756","https://openalex.org/W2001587475","https://openalex.org/W2051669046","https://openalex.org/W2054141820","https://openalex.org/W2061873838","https://openalex.org/W2067049106","https://openalex.org/W2135790056","https://openalex.org/W2165949563","https://openalex.org/W2223881431","https://openalex.org/W4231510805","https://openalex.org/W4236796448","https://openalex.org/W6639619044"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W4293734197","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490"],"abstract_inverted_index":{"The":[0,83,102],"majority":[1],"of":[2,18,98],"existing":[3],"recommender":[4,23],"systems":[5,13,24],"focus":[6],"on":[7],"modeling":[8],"the":[9,29,62,67,73,80,110,120],"ratings;":[10],"however,":[11],"these":[12],"ignore":[14],"a":[15,53],"large":[16],"number":[17],"reviews.":[19],"Existing":[20],"rating":[21],"based":[22],"are":[25,77,87],"hard":[26],"to":[27,51,61,71,119],"discover":[28,72],"hidden":[30],"dimensions":[31],"in":[32,79,113],"human":[33],"feedback":[34],"that":[35,76,106],"can":[36,93],"identify":[37],"user":[38],"preferences.":[39],"In":[40],"this":[41],"study,":[42],"we":[43],"combine":[44],"collaborative":[45],"filtering":[46],"with":[47],"latent":[48],"review":[49,74,81],"topics":[50,75,85],"generate":[52],"new":[54],"model":[55,70],"called":[56],"phraseHFT.":[57],"We":[58],"apply":[59],"reviews":[60],"phrase-level":[63],"document,":[64],"and":[65,89,115],"use":[66],"phrase-based":[68],"topic":[69,116,122],"embedded":[78],"text.":[82],"interpretable":[84],"which":[86],"learned":[88],"presented":[90],"as":[91],"phrases":[92],"help":[94],"us":[95],"understand":[96],"characteristics":[97],"users":[99],"or":[100],"items.":[101],"conducted":[103],"experiment":[104],"shows":[105],"our":[107],"approach":[108],"outperforms":[109],"state-of-the-art":[111],"techniques":[112],"perplexity":[114],"visualization":[117],"due":[118],"strong":[121],"learning":[123],"functionality.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}