{"id":"https://openalex.org/W2746055023","doi":"https://doi.org/10.1145/3109859.3109863","title":"Improving Similarity Measures Using Ontological Data","display_name":"Improving Similarity Measures Using Ontological Data","publication_year":2017,"publication_date":"2017-08-24","ids":{"openalex":"https://openalex.org/W2746055023","doi":"https://doi.org/10.1145/3109859.3109863","mag":"2746055023"},"language":"en","primary_location":{"id":"doi:10.1145/3109859.3109863","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3109859.3109863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh 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/A5074966383","display_name":"\u00d6zge S\u00fcrer","orcid":"https://orcid.org/0000-0003-4854-9759"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"\u00d6zge S\u00fcrer","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5074966383"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14289372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"416","last_page":"420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9972000122070312,"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/ontology","display_name":"Ontology","score":0.7723951935768127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7577913999557495},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6965996623039246},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6669117212295532},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6327013373374939},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5754148960113525},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48857221007347107},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.42279738187789917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32940563559532166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15547460317611694},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06609177589416504}],"concepts":[{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7723951935768127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7577913999557495},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6965996623039246},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6669117212295532},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6327013373374939},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5754148960113525},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48857221007347107},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.42279738187789917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32940563559532166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15547460317611694},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06609177589416504},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3109859.3109863","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3109859.3109863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309475","display_name":"Northwestern University","ror":"https://ror.org/000e0be47"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W40003570","https://openalex.org/W281665770","https://openalex.org/W1542664738","https://openalex.org/W1840111109","https://openalex.org/W1971925511","https://openalex.org/W1978400840","https://openalex.org/W1989443946","https://openalex.org/W1990372165","https://openalex.org/W2027408638","https://openalex.org/W2101940264","https://openalex.org/W2109710679","https://openalex.org/W2109864930","https://openalex.org/W2145413874","https://openalex.org/W2396596629","https://openalex.org/W2520050538","https://openalex.org/W2520282729","https://openalex.org/W4249942270"],"related_works":["https://openalex.org/W2003333417","https://openalex.org/W2378862226","https://openalex.org/W118236634","https://openalex.org/W2355326633","https://openalex.org/W2917844847","https://openalex.org/W2036757537","https://openalex.org/W2759085743","https://openalex.org/W2096451653","https://openalex.org/W4282930045","https://openalex.org/W4238546310"],"abstract_inverted_index":{"The":[0],"representation":[1],"of":[2,41],"structural":[3,52],"data":[4,53],"is":[5],"important":[6],"to":[7,37],"capture":[8],"the":[9,19,39,51,66],"pattern":[10],"between":[11,14],"features.":[12],"Interrelations":[13],"variables":[15],"provide":[16],"information":[17,29],"beyond":[18],"standard":[20],"variables.":[21],"In":[22],"this":[23],"study,":[24],"we":[25],"show":[26,56],"how":[27],"ontology":[28],"may":[30],"be":[31],"used":[32],"in":[33],"a":[34],"recommender":[35],"systems":[36],"increase":[38],"efficiency":[40],"predictions.":[42],"We":[43],"propose":[44],"two":[45],"alternative":[46],"similarity":[47],"measures":[48],"that":[49,57],"incorporates":[50],"representation.":[54],"Experiments":[55],"our":[58],"ontology-based":[59],"approach":[60],"delivers":[61],"improved":[62],"classification":[63],"accuracy":[64],"when":[65],"dimension":[67],"increases.":[68]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}