{"id":"https://openalex.org/W1972832313","doi":"https://doi.org/10.1145/2505515.2507842","title":"On exploiting content and citations together to compute similarity of scientific papers","display_name":"On exploiting content and citations together to compute similarity of scientific papers","publication_year":2013,"publication_date":"2013-10-27","ids":{"openalex":"https://openalex.org/W1972832313","doi":"https://doi.org/10.1145/2505515.2507842","mag":"1972832313"},"language":"en","primary_location":{"id":"doi:10.1145/2505515.2507842","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505515.2507842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM international conference on Information &amp; Knowledge Management","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/A5052464731","display_name":"Masoud Reyhani Hamedani","orcid":"https://orcid.org/0000-0003-1529-5473"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Masoud Reyhani Hamedani","raw_affiliation_strings":["Hanyang University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656150","display_name":"Sang\u2010Wook Kim","orcid":"https://orcid.org/0000-0002-6345-9084"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Wook Kim","raw_affiliation_strings":["Hanyang University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100676172","display_name":"Sangchul Lee","orcid":"https://orcid.org/0000-0001-6785-0630"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Chul Lee","raw_affiliation_strings":["Hanyang University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100393157","display_name":"Dong-Jin Kim","orcid":"https://orcid.org/0000-0001-7231-7494"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong-Jin Kim","raw_affiliation_strings":["NHN Institute of The Next Network, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NHN Institute of The Next Network, Seoul, South Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1553","last_page":"1556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9979000091552734,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.8245899677276611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7562839388847351},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6550651788711548},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6505545973777771},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.6047308444976807},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.5512048006057739},{"id":"https://openalex.org/keywords/scientific-literature","display_name":"Scientific literature","score":0.4285561442375183},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3694654703140259},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3671317994594574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15978196263313293},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13821369409561157},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11948907375335693}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.8245899677276611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7562839388847351},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6550651788711548},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6505545973777771},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.6047308444976807},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.5512048006057739},{"id":"https://openalex.org/C2781083858","wikidata":"https://www.wikidata.org/wiki/Q17327049","display_name":"Scientific literature","level":2,"score":0.4285561442375183},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3694654703140259},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3671317994594574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15978196263313293},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13821369409561157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11948907375335693},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2505515.2507842","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505515.2507842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM international conference on Information &amp; Knowledge Management","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":14,"referenced_works":["https://openalex.org/W75235505","https://openalex.org/W1647729745","https://openalex.org/W1995326326","https://openalex.org/W2008815473","https://openalex.org/W2047221353","https://openalex.org/W2062340319","https://openalex.org/W2087696423","https://openalex.org/W2117831564","https://openalex.org/W2140190241","https://openalex.org/W2140280587","https://openalex.org/W2152407760","https://openalex.org/W2155265018","https://openalex.org/W2157532819","https://openalex.org/W3204616723"],"related_works":["https://openalex.org/W2349125667","https://openalex.org/W54798235","https://openalex.org/W3046651912","https://openalex.org/W2557461287","https://openalex.org/W4247121809","https://openalex.org/W2952835078","https://openalex.org/W1480013115","https://openalex.org/W4234086294","https://openalex.org/W4302590433","https://openalex.org/W1780567500"],"abstract_inverted_index":{"In":[0,24],"computing":[1,66],"the":[2,20,37,45],"similarity":[3,11,46],"of":[4,19,47,60,78,91],"scientific":[5,48,62,92],"papers,":[6,93],"previous":[7,51,103],"text-based":[8],"and":[9,22,39,58],"link-based":[10],"measures":[12],"look":[13],"at":[14],"only":[15],"a":[16,29,61,88],"single":[17],"side":[18],"content":[21,38],"citations.":[23],"this":[25],"paper,":[26],"we":[27,69],"propose":[28,70],"novel":[30],"approach":[31],"called":[32],"SimCC":[33,53],"that":[34],"effectively":[35,54],"combines":[36],"citation":[40],"information":[41],"to":[42,72],"accurately":[43],"compute":[44],"papers.":[49,75],"Unlike":[50],"approaches,":[52],"represents":[55],"both":[56],"authority":[57],"context":[59],"paper":[63],"simultaneously":[64],"in":[65,99],"similarities.":[67],"Also,":[68],"SimCC+A":[71],"consider":[73],"recently-published":[74],"The":[76],"effectiveness":[77],"our":[79],"proposed":[80],"method":[81],"is":[82],"demonstrated":[83],"via":[84],"extensive":[85],"experiments":[86],"on":[87],"real-world":[89],"dataset":[90],"with":[94,102],"more":[95],"than":[96],"100%":[97],"improvement":[98],"accuracy":[100],"compared":[101],"methods.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
