{"id":"https://openalex.org/W2484387229","doi":"https://doi.org/10.1145/2851613.2851819","title":"Inferring semantic interest profiles from Twitter followees","display_name":"Inferring semantic interest profiles from Twitter followees","publication_year":2016,"publication_date":"2016-04-04","ids":{"openalex":"https://openalex.org/W2484387229","doi":"https://doi.org/10.1145/2851613.2851819","mag":"2484387229"},"language":"en","primary_location":{"id":"doi:10.1145/2851613.2851819","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2851613.2851819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5040799968","display_name":"Christoph Besel","orcid":null},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Besel","raw_affiliation_strings":["University of Passau, Passau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Passau, Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029341868","display_name":"J\u00f6rg Schl\u00f6tterer","orcid":"https://orcid.org/0000-0002-3678-0390"},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00f6rg Schl\u00f6tterer","raw_affiliation_strings":["University of Passau, Passau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Passau, Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006866152","display_name":"Michael Granitzer","orcid":"https://orcid.org/0000-0003-3566-5507"},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Granitzer","raw_affiliation_strings":["University of Passau, Passau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Passau, Passau, Germany","institution_ids":["https://openalex.org/I186354981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I186354981"],"apc_list":null,"apc_paid":null,"fwci":3.5478,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.94397012,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1152","last_page":"1157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9980999827384949,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9980000257492065,"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":0.7994681596755981},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7317978143692017},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.587329089641571},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5434818267822266},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47508350014686584},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.462382972240448},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.45340579748153687},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4398857355117798},{"id":"https://openalex.org/keywords/user-profile","display_name":"User profile","score":0.4387713372707367},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4144953787326813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7994681596755981},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7317978143692017},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.587329089641571},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5434818267822266},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47508350014686584},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.462382972240448},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.45340579748153687},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4398857355117798},{"id":"https://openalex.org/C2780150774","wikidata":"https://www.wikidata.org/wiki/Q252500","display_name":"User profile","level":2,"score":0.4387713372707367},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4144953787326813},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2851613.2851819","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2851613.2851819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3698730828","display_name":null,"funder_award_id":"600601","funder_id":"https://openalex.org/F4320334960","funder_display_name":"Seventh Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320334960","display_name":"Seventh Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1683040692","https://openalex.org/W1968305525","https://openalex.org/W2019177758","https://openalex.org/W2056749842","https://openalex.org/W2101196063","https://openalex.org/W2106176206","https://openalex.org/W2117011613","https://openalex.org/W2135478036","https://openalex.org/W2154868463","https://openalex.org/W2162077280","https://openalex.org/W2251644777","https://openalex.org/W2341381586","https://openalex.org/W2396716887","https://openalex.org/W2950225692","https://openalex.org/W4298163120"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W3125580266","https://openalex.org/W44246808","https://openalex.org/W4317039510","https://openalex.org/W2443057453","https://openalex.org/W2293949343"],"abstract_inverted_index":{"Social":[0],"media":[1],"based":[2],"recommendation":[3],"systems":[4],"infer":[5],"users'":[6,28,147],"interests":[7,55,105,148],"from":[8,56,73],"their":[9,150],"social":[10],"network":[11],"activity":[12],"in":[13,124,144],"order":[14],"to":[15,101,106,121],"provide":[16],"personalised":[17],"recommendations.":[18],"Typically,":[19],"the":[20,27,60,78,103,122,135,138,146],"user":[21,42,54,61],"profiles":[22],"are":[23],"generated":[24],"by":[25,69],"analysing":[26],"posts":[29],"or":[30],"tweets.":[31,65],"However,":[32],"there":[33],"might":[34],"be":[35],"a":[36,41,74,90,97,107],"significant":[37],"difference":[38],"between":[39],"what":[40,45],"produces":[43],"and":[44,84,140],"she":[46],"consumes.":[47],"We":[48],"propose":[49],"an":[50],"approach":[51,131],"for":[52],"inferring":[53],"followees":[57,76],"(the":[58],"accounts":[59],"follows)":[62],"rather":[63],"than":[64,149],"This":[66],"is":[67,94],"done":[68],"extracting":[70],"named":[71],"entities":[72],"user's":[75],"using":[77],"English":[79],"Wikipedia":[80,98],"as":[81,87],"knowledge":[82],"base":[83],"regarding":[85],"them":[86],"interests.":[88],"Afterwards,":[89],"spreading":[91],"activation":[92],"algorithm":[93],"performed":[95],"on":[96],"category":[99],"taxonomy":[100],"aggregate":[102],"various":[104],"more":[108],"abstract":[109],"interest":[110],"profile.":[111],"With":[112],"over":[113],"7":[114],"out":[115],"of":[116,137],"10":[117],"items":[118],"being":[119],"relevant":[120],"users":[123],"our":[125],"evaluation,":[126],"we":[127],"show":[128],"that":[129],"this":[130],"can":[132],"compete":[133],"with":[134],"state":[136],"art":[139],"performs":[141],"even":[142],"better":[143],"predicting":[145],"human":[151],"friends":[152],"do.":[153]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
