{"id":"https://openalex.org/W1994156358","doi":"https://doi.org/10.1145/2661829.2662059","title":"Collaborative Filtering Incorporating Review Text and Co-clusters of Hidden User Communities and Item Groups","display_name":"Collaborative Filtering Incorporating Review Text and Co-clusters of Hidden User Communities and Item Groups","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W1994156358","doi":"https://doi.org/10.1145/2661829.2662059","mag":"1994156358"},"language":"en","primary_location":{"id":"doi:10.1145/2661829.2662059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2662059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","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/A5109345753","display_name":"Yinqing Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yinqing Xu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018582154","display_name":"Wai Lam","orcid":"https://orcid.org/0000-0001-5479-377X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wai Lam","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083720030","display_name":"Tianyi Lin","orcid":"https://orcid.org/0000-0002-5323-1852"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyi Lin","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109345753"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":9.8907,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.97635595,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"251","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6969130039215088},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6846139430999756},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6612020134925842},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47300082445144653},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4621388018131256},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4094845950603485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3798143267631531},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33471089601516724}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6969130039215088},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6846139430999756},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6612020134925842},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47300082445144653},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4621388018131256},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4094845950603485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3798143267631531},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33471089601516724}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2661829.2662059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2661829.2662059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1176195751","display_name":null,"funder_award_id":"4055034","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"},{"id":"https://openalex.org/G5532860849","display_name":null,"funder_award_id":"CUHK413510","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"},{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W21006490","https://openalex.org/W1493217831","https://openalex.org/W1880262756","https://openalex.org/W1967921672","https://openalex.org/W1976618413","https://openalex.org/W1992270714","https://openalex.org/W1994389483","https://openalex.org/W2001082470","https://openalex.org/W2001141328","https://openalex.org/W2001259128","https://openalex.org/W2004657139","https://openalex.org/W2020999234","https://openalex.org/W2025605741","https://openalex.org/W2027913476","https://openalex.org/W2036328877","https://openalex.org/W2054141820","https://openalex.org/W2056932183","https://openalex.org/W2061873838","https://openalex.org/W2067812998","https://openalex.org/W2085040216","https://openalex.org/W2096110600","https://openalex.org/W2106477703","https://openalex.org/W2117309679","https://openalex.org/W2119384858","https://openalex.org/W2122090912","https://openalex.org/W2122683976","https://openalex.org/W2135505871","https://openalex.org/W2135790056","https://openalex.org/W2136891251","https://openalex.org/W2136944193","https://openalex.org/W2143995004","https://openalex.org/W2152836620","https://openalex.org/W2154772527","https://openalex.org/W2154970197","https://openalex.org/W2165395308","https://openalex.org/W2167564468","https://openalex.org/W2171343266","https://openalex.org/W2434205482","https://openalex.org/W2951727499","https://openalex.org/W3016718392","https://openalex.org/W6659118104","https://openalex.org/W6677671969","https://openalex.org/W6684295950","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W4220714703","https://openalex.org/W2170391450","https://openalex.org/W2735929803","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W2202724490","https://openalex.org/W2119611366","https://openalex.org/W2103058005"],"abstract_inverted_index":{"Most":[0],"collaborative":[1],"filtering":[2],"(CF)":[3],"algorithms":[4,143],"only":[5],"make":[6],"use":[7],"of":[8,32,41,155,181,185,193,213,287],"the":[9,21,48,70,139,150,162,169,200,211,271,284,293],"rating":[10,25,140,164,201,273],"scores":[11,274],"given":[12],"by":[13,65,124,239],"users":[14,51,75,102,173],"for":[15,209],"items.":[16,175],"However,":[17],"it":[18],"is":[19,27,166,179,188],"often":[20,88],"case":[22],"that":[23],"each":[24,156,159,250],"score":[26],"associated":[28],"with":[29,234,261,292],"a":[30,53,112,242],"piece":[31],"review":[33,36,126,214],"text.":[34],"Such":[35],"texts,":[37],"which":[38,178],"are":[39,62],"capable":[40,180],"providing":[42],"us":[43],"valuable":[44],"information":[45,154],"to":[46,116,190,197,256,269],"reveal":[47],"reasons":[49],"why":[50],"give":[52],"certain":[54],"rating,":[55],"have":[56,265],"not":[57,79,145],"been":[58,80],"exploited":[59],"and":[60,76,98,101,134,152,158,174,224,247],"they":[61],"usually":[63],"ignored":[64],"most":[66],"CF":[67],"algorithms.":[68],"Moreover,":[69],"underlying":[71],"relationship":[72],"buried":[73],"in":[74],"items":[77,123],"has":[78],"fully":[81],"exploited.":[82],"Items":[83],"we":[84],"would":[85,144,205,220],"recommend":[86],"can":[87,103,254],"be":[89,105,206],"characterized":[90],"into":[91],"hidden":[92,108,131],"groups":[93,136,260],"(e.g.":[94],"comedy,":[95],"horror":[96],"movie":[97],"action":[99],"movie),":[100],"also":[104],"organized":[106],"as":[107,128,130,241],"communities.":[109],"We":[110,264],"propose":[111],"new":[113],"generative":[114],"model":[115,290],"predict":[117,199,270],"user's":[118],"ratings":[119],"on":[120,148,275],"previously":[121],"unrated":[122],"considering":[125],"texts":[127,215],"well":[129,147],"user":[132,157,218,251],"communities":[133,219,258],"item":[135,160,236,253],"relationship.":[137],"Regarding":[138],"scores,":[141],"traditional":[142],"perform":[146],"uncovering":[149],"community":[151,246],"group":[153,248],"since":[161,216],"user-item":[163,195],"matrix":[165],"dyadic":[167],"involving":[168],"mutual":[170],"interactions":[171],"between":[172],"Instead,":[176],"co-clustering,":[177],"conducting":[182],"simultaneous":[183],"clustering":[184],"two":[186],"variables,":[187],"able":[189],"take":[191],"advantage":[192],"such":[194],"relationships":[196],"better":[198],"scores.":[202],"Additionally,":[203],"co-clustering":[204],"more":[207],"effective":[208],"modeling":[210,240],"generation":[212],"different":[217,222,235],"discuss":[221],"topics":[223],"vary":[225],"their":[226],"own":[227],"wordings":[228],"or":[229,252,259],"expression":[230],"patterns":[231],"when":[232],"dealing":[233],"groups.":[237],"Besides,":[238],"mixed":[243],"membership":[244],"over":[245],"respectively,":[249],"belong":[255],"multiple":[257],"varying":[262],"degrees.":[263],"conducted":[266],"extensive":[267],"experiments":[268],"missing":[272],"22":[276],"real":[277],"word":[278],"datasets.":[279],"The":[280],"experimental":[281],"results":[282],"demonstrate":[283],"superior":[285],"performance":[286],"our":[288],"proposed":[289],"comparing":[291],"state-of-the-art":[294],"methods.":[295]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
