{"id":"https://openalex.org/W2160277682","doi":"https://doi.org/10.1145/2365934.2365936","title":"Extending FolkRank with content data","display_name":"Extending FolkRank with content data","publication_year":2012,"publication_date":"2012-09-09","ids":{"openalex":"https://openalex.org/W2160277682","doi":"https://doi.org/10.1145/2365934.2365936","mag":"2160277682"},"language":"en","primary_location":{"id":"doi:10.1145/2365934.2365936","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2365934.2365936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web","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/A5064786823","display_name":"Nikolas Landia","orcid":null},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Nikolas Landia","raw_affiliation_strings":["University of Warwick, Coventry, England UK"],"affiliations":[{"raw_affiliation_string":"University of Warwick, Coventry, England UK","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113675681","display_name":"Sarabjot Singh Anand","orcid":null},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sarabjot Singh Anand","raw_affiliation_strings":["University of Warwick, Coventry, England UK"],"affiliations":[{"raw_affiliation_string":"University of Warwick, Coventry, England UK","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054225034","display_name":"Andreas Hotho","orcid":"https://orcid.org/0000-0002-0483-5772"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Hotho","raw_affiliation_strings":["University of W\u00fcrzburg, W\u00fcrzburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of W\u00fcrzburg, W\u00fcrzburg, Germany","institution_ids":["https://openalex.org/I25974101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033933860","display_name":"Robert J\u00e4schke","orcid":"https://orcid.org/0000-0003-3271-9653"},"institutions":[{"id":"https://openalex.org/I106157433","display_name":"University of Kassel","ror":"https://ror.org/04zc7p361","country_code":"DE","type":"education","lineage":["https://openalex.org/I106157433"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert J\u00e4schke","raw_affiliation_strings":["University of Kassel, Kassel, Germany"],"affiliations":[{"raw_affiliation_string":"University of Kassel, Kassel, Germany","institution_ids":["https://openalex.org/I106157433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036943018","display_name":"Stephan Doerfel","orcid":null},"institutions":[{"id":"https://openalex.org/I106157433","display_name":"University of Kassel","ror":"https://ror.org/04zc7p361","country_code":"DE","type":"education","lineage":["https://openalex.org/I106157433"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stephan Doerfel","raw_affiliation_strings":["University of Kassel, Kassel, Germany"],"affiliations":[{"raw_affiliation_string":"University of Kassel, Kassel, Germany","institution_ids":["https://openalex.org/I106157433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067244284","display_name":"Folke Mitzlaff","orcid":null},"institutions":[{"id":"https://openalex.org/I106157433","display_name":"University of Kassel","ror":"https://ror.org/04zc7p361","country_code":"DE","type":"education","lineage":["https://openalex.org/I106157433"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Folke Mitzlaff","raw_affiliation_strings":["University of Kassel, Kassel, Germany"],"affiliations":[{"raw_affiliation_string":"University of Kassel, Kassel, Germany","institution_ids":["https://openalex.org/I106157433"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064786823"],"corresponding_institution_ids":["https://openalex.org/I39555362"],"apc_list":null,"apc_paid":null,"fwci":1.2844,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84179426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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/T10181","display_name":"Natural Language Processing Techniques","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/T10203","display_name":"Recommender Systems and Techniques","score":0.9987999796867371,"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/computer-science","display_name":"Computer science","score":0.8790680170059204},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7643011212348938},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5724959373474121},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5441920757293701},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4861013889312744},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.358333557844162},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.07862374186515808}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8790680170059204},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7643011212348938},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5724959373474121},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5441920757293701},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4861013889312744},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.358333557844162},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.07862374186515808},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2365934.2365936","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2365934.2365936","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web","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":12,"referenced_works":["https://openalex.org/W21431789","https://openalex.org/W97061813","https://openalex.org/W1549014378","https://openalex.org/W1549874165","https://openalex.org/W2009932627","https://openalex.org/W2051093690","https://openalex.org/W2056088289","https://openalex.org/W2090041477","https://openalex.org/W2139420544","https://openalex.org/W2167143366","https://openalex.org/W2178287480","https://openalex.org/W6603965262"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846"],"abstract_inverted_index":{"Real-world":[0],"tagging":[1,153],"datasets":[2,33,154],"have":[3],"a":[4,17,20,100,178,186,192],"large":[5],"proportion":[6],"of":[7,46,125,174,194],"new/":[8],"untagged":[9],"documents.":[10],"Few":[11],"approaches":[12,71],"for":[13,19,68,133],"recommending":[14],"tags":[15,59,67,82,132],"to":[16,52,61,65,84,103,120,130,146],"user":[18,40,195],"document":[21,45,126,198],"address":[22,156],"this":[23,96],"new":[24,69,134,158],"item":[25,159],"problem,":[26],"concentrating":[27],"instead":[28,124],"on":[29,80,137,177],"artificially":[30],"created":[31],"post-core":[32,147],"where":[34],"it":[35,129],"is":[36,50],"guaranteed":[37],"that":[38],"the":[39,44,53,81,87,93,104,117,150,157,171],"as":[41,43],"well":[42],"each":[47],"test":[48],"post":[49],"known":[51],"system":[54],"and":[55,155,169,197],"already":[56],"has":[57],"some":[58],"assigned":[60,83],"it.":[62],"In":[63,95],"order":[64],"recommend":[66,131],"documents,":[70],"are":[72],"required":[73],"which":[74,190],"model":[75],"documents":[76,135],"not":[77],"only":[78],"based":[79,136],"them":[85],"in":[86,161,185],"past":[88],"(if":[89],"any),":[90],"but":[91],"also":[92,167],"content.":[94,140],"paper":[97],"we":[98,166],"present":[99],"novel":[101],"adaptation":[102],"widely":[105],"recognised":[106],"FolkRank":[107,118,144],"tag":[108,162,180],"recommendation":[109,181],"algorithm":[110],"by":[111],"including":[112,175],"content":[113,176,199],"data.":[114],"We":[115],"adapt":[116],"graph":[119],"use":[121],"word":[122],"nodes":[123],"nodes,":[127],"enabling":[128],"their":[138],"textual":[139],"Our":[141],"adaptations":[142],"make":[143],"applicable":[145],"1":[148],"ie.":[149],"full":[151],"real-world":[152],"problem":[160],"recommendation.":[163],"For":[164],"comparison,":[165],"apply":[168],"evaluate":[170],"same":[172],"methodology":[173],"simpler":[179],"algorithm.":[182],"This":[183],"results":[184],"less":[187],"expensive":[188],"recommender":[189],"suggests":[191],"combination":[193],"related":[196,200],"tags.":[201]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}