{"id":"https://openalex.org/W2898494379","doi":"https://doi.org/10.1109/asonam.2018.8508313","title":"A Paper Recommendation System Based on User's Research Interests","display_name":"A Paper Recommendation System Based on User's Research Interests","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2898494379","doi":"https://doi.org/10.1109/asonam.2018.8508313","mag":"2898494379"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2018.8508313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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/A5007619360","display_name":"Bet\u00fcl Bulut","orcid":"https://orcid.org/0000-0002-5945-2541"},"institutions":[{"id":"https://openalex.org/I143396566","display_name":"F\u0131rat University","ror":"https://ror.org/05teb7b63","country_code":"TR","type":"education","lineage":["https://openalex.org/I143396566"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Betul Bulut","raw_affiliation_strings":["Department of Computer Engineering, Firat University, Elazig, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Firat University, Elazig, Turkey","institution_ids":["https://openalex.org/I143396566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028134655","display_name":"Buket Kaya","orcid":"https://orcid.org/0000-0001-9505-181X"},"institutions":[{"id":"https://openalex.org/I143396566","display_name":"F\u0131rat University","ror":"https://ror.org/05teb7b63","country_code":"TR","type":"education","lineage":["https://openalex.org/I143396566"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Buket Kaya","raw_affiliation_strings":["Department of Electronics and Automation, Firat University, Elazig, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Automation, Firat University, Elazig, Turkey","institution_ids":["https://openalex.org/I143396566"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066265052","display_name":"Reda Alhajj","orcid":"https://orcid.org/0000-0001-6657-9738"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Reda Alhajj","raw_affiliation_strings":["Department of Computer Science, University of Calgary, Calgary, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100631239","display_name":"Mehmet Kaya","orcid":"https://orcid.org/0000-0003-2995-8282"},"institutions":[{"id":"https://openalex.org/I143396566","display_name":"F\u0131rat University","ror":"https://ror.org/05teb7b63","country_code":"TR","type":"education","lineage":["https://openalex.org/I143396566"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet Kaya","raw_affiliation_strings":["Department of Computer Engineering, Firat University, Elazig, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Firat University, Elazig, Turkey","institution_ids":["https://openalex.org/I143396566"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0186,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.82481184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"911","last_page":"915"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9983999729156494,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9983999729156494,"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":0.9979000091552734,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9930999875068665,"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/sort","display_name":"sort","score":0.802828311920166},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7912824153900146},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.767551064491272},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6977626085281372},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.6541928052902222},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6323437690734863},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4855741858482361},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47110822796821594},{"id":"https://openalex.org/keywords/information-system","display_name":"Information system","score":0.42617979645729065},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4194561243057251},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39628171920776367},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1943570375442505},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08416616916656494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08408957719802856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06370678544044495}],"concepts":[{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.802828311920166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7912824153900146},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.767551064491272},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6977626085281372},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.6541928052902222},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6323437690734863},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4855741858482361},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47110822796821594},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.42617979645729065},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4194561243057251},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39628171920776367},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1943570375442505},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08416616916656494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08408957719802856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06370678544044495},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam.2018.8508313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311015","display_name":"Firat \u00dcniversitesi","ror":"https://ror.org/05teb7b63"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1976969221","https://openalex.org/W1983969342","https://openalex.org/W2031456732","https://openalex.org/W2042757136","https://openalex.org/W2043778286","https://openalex.org/W2066343199","https://openalex.org/W2066501059","https://openalex.org/W2085927491","https://openalex.org/W2105638237","https://openalex.org/W2107559689","https://openalex.org/W2109469951","https://openalex.org/W2124637492","https://openalex.org/W2148606196","https://openalex.org/W2150874198","https://openalex.org/W2164727176","https://openalex.org/W2171603371","https://openalex.org/W2240029300","https://openalex.org/W2319090862","https://openalex.org/W2332282745","https://openalex.org/W2344535803","https://openalex.org/W2345209690","https://openalex.org/W2386526390","https://openalex.org/W2539903407","https://openalex.org/W2540679246","https://openalex.org/W2583670618","https://openalex.org/W2586960503","https://openalex.org/W2766022270","https://openalex.org/W2770153400","https://openalex.org/W2770437105","https://openalex.org/W2773830406","https://openalex.org/W2780452851","https://openalex.org/W2997134027","https://openalex.org/W3102050987","https://openalex.org/W4240276947","https://openalex.org/W6671950206","https://openalex.org/W6733175898","https://openalex.org/W6785695628"],"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/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4288390103","https://openalex.org/W4317039510","https://openalex.org/W4238861846"],"abstract_inverted_index":{"Researchers":[0,9],"and":[1,14,38,87,108,133],"scientists":[2],"read":[3],"articles":[4,44,91,118],"to":[5,16,32,40,111,144,148],"improve":[6],"their":[7],"studies.":[8],"spend":[10,37],"too":[11],"much":[12],"time":[13,35],"struggle":[15],"find":[17],"the":[18,34,42,57,62,66,83,88,96,104,125,127,134],"suitable":[19],"article":[20,28,51,76,113],"they":[21,36,45,60],"are":[22,46],"looking":[23],"for.":[24],"The":[25],"purpose":[26],"of":[27,95,100,106,124],"recommendation":[29,52,77],"system":[30,78],"is":[31,92,103],"reduce":[33],"present":[39,137],"them":[41],"related":[43],"not":[47,55],"aware":[48],"of.":[49],"Classic":[50],"systems":[53],"do":[54],"consider":[56],"user's":[58,116],"information,":[59],"show":[61],"same":[63,67],"results":[64,142],"in":[65],"sort":[68],"for":[69],"each":[70],"researcher.":[71],"In":[72],"this":[73,101],"study,":[74],"an":[75],"that":[79],"takes":[80],"into":[81,119],"consideration":[82],"researcher's":[84],"work":[85,102],"field":[86],"publisher's":[89],"previous":[90],"presented.":[93],"One":[94],"most":[97],"important":[98],"innovations":[99],"use":[105],"TF-IDF":[107],"Cosinus":[109],"similarity":[110],"make":[112],"recommendations":[114],"taking":[115],"past":[117],"consideration.":[120],"As":[121],"a":[122],"result":[123],"work,":[126],"users":[128],"have":[129],"been":[130],"recommended":[131],"articles,":[132],"method":[135],"we":[136],"has":[138],"proved":[139],"more":[140],"successful":[141],"compared":[143],"equivalent":[145],"methods":[146],"according":[147],"f-Measure":[149],"criterion.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}