{"id":"https://openalex.org/W2079017450","doi":"https://doi.org/10.1145/2792838.2800188","title":"It Takes Two to Tango","display_name":"It Takes Two to Tango","publication_year":2015,"publication_date":"2015-09-08","ids":{"openalex":"https://openalex.org/W2079017450","doi":"https://doi.org/10.1145/2792838.2800188","mag":"2079017450"},"language":"en","primary_location":{"id":"doi:10.1145/2792838.2800188","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2792838.2800188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th 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/A5110781770","display_name":"Shaghayegh Sahebi","orcid":null},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shaghayegh Sahebi","raw_affiliation_strings":["University of Pittsburgh, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037674585","display_name":"Peter Brusilovsky","orcid":"https://orcid.org/0000-0002-1902-1464"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Brusilovsky","raw_affiliation_strings":["University of Pittsburgh, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110781770"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":10.5491,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.97995191,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"131","last_page":"138"},"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9818999767303467,"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":0.9592000246047974,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7908584475517273},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.7645843029022217},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7011256814002991},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.6551957130432129},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5704832077026367},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47099989652633667},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45840930938720703},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.45817893743515015},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.44855600595474243},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.42010000348091125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3984777629375458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35045158863067627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0937063992023468}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7908584475517273},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.7645843029022217},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7011256814002991},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.6551957130432129},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5704832077026367},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47099989652633667},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45840930938720703},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.45817893743515015},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.44855600595474243},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.42010000348091125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3984777629375458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35045158863067627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0937063992023468},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2792838.2800188","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2792838.2800188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th 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":25,"referenced_works":["https://openalex.org/W14873975","https://openalex.org/W24761630","https://openalex.org/W163868085","https://openalex.org/W1883278639","https://openalex.org/W1965963232","https://openalex.org/W1967597310","https://openalex.org/W2025220724","https://openalex.org/W2025341678","https://openalex.org/W2036542275","https://openalex.org/W2040858299","https://openalex.org/W2051823655","https://openalex.org/W2054141820","https://openalex.org/W2057171152","https://openalex.org/W2067216076","https://openalex.org/W2106554478","https://openalex.org/W2112162967","https://openalex.org/W2114079787","https://openalex.org/W2118338035","https://openalex.org/W2118674552","https://openalex.org/W2128869159","https://openalex.org/W2129679514","https://openalex.org/W2181516572","https://openalex.org/W2293981264","https://openalex.org/W2475730566","https://openalex.org/W6641491555"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W4220714703","https://openalex.org/W2098758514","https://openalex.org/W2735929803","https://openalex.org/W3008845055","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622"],"abstract_inverted_index":{"As":[0],"the":[1,9,14,33,42,55,59,68,99,131,135,143,151,177,203,209],"heterogeneity":[2],"of":[3,16,20,57,79,98,124,139,145,153],"data":[4,17,22],"sources":[5],"are":[6,82],"increasing":[7],"on":[8,75,109,193],"web,":[10],"and":[11,62,93,126,150,186],"due":[12],"to":[13,40,50,84,87,129,164,198],"sparsity":[15,60],"in":[18,32,147,175,201,208],"each":[19,88],"these":[21],"sources,":[23],"cross-domain":[24,140,148,189],"recommendation":[25],"is":[26],"becoming":[27],"an":[28,110],"emerging":[29],"research":[30],"topic":[31],"recent":[34],"years.":[35],"Cross-domain":[36],"collaborative":[37,141,190],"filtering":[38,191],"aims":[39],"transfer":[41],"user":[43],"rating":[44],"pattern":[45],"from":[46],"source":[47,155,180],"(auxiliary)":[48],"domains":[49,80,107,125,156,181,207],"a":[51,76,96,121,158,171,183,188],"target":[52,65,160,184,210],"domain":[53],"for":[54,157,182],"purpose":[56],"alleviating":[58],"problem":[61],"providing":[63],"better":[64],"recommendations.":[66,211],"However,":[67],"studies":[69],"so":[70],"far":[71],"have":[72],"either":[73],"focused":[74],"limited":[77],"number":[78],"that":[81,133,196],"assumed":[83],"be":[85,199],"related":[86],"other":[89],"(such":[90,102,113],"as":[91,103,114,170],"books":[92],"movies),":[94],"or":[95,137],"division":[97],"same":[100],"dataset":[101],"movies)":[104],"into":[105],"different":[106],"based":[108,192],"item":[111],"characteristic":[112],"genre).":[115],"In":[116],"this":[117],"paper,":[118],"we":[119],"study":[120],"broad":[122],"set":[123],"their":[127],"characteristics":[128],"understand":[130],"factors":[132],"affect":[134],"success":[136],"failure":[138],"filtering,":[142],"amount":[144],"improvement":[146],"approaches,":[149],"selection":[152],"best":[154],"specific":[159],"domain.":[161],"We":[162],"propose":[163],"use":[165],"Canonical":[166],"Correlation":[167],"Analysis":[168],"(CCA)":[169],"significant":[172],"major":[173],"factor":[174],"finding":[176],"most":[178],"promising":[179],"domain,":[185],"suggest":[187],"CCA":[194],"(CD-CCA)":[195],"proves":[197],"successful":[200],"using":[202],"shared":[204],"information":[205],"between":[206]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
