{"id":"https://openalex.org/W2038215417","doi":"https://doi.org/10.1145/2818869.2818924","title":"A Fuzzy Similarity Matching Model for Interior Design Drawing Recommendation","display_name":"A Fuzzy Similarity Matching Model for Interior Design Drawing Recommendation","publication_year":2015,"publication_date":"2015-10-07","ids":{"openalex":"https://openalex.org/W2038215417","doi":"https://doi.org/10.1145/2818869.2818924","mag":"2038215417"},"language":"en","primary_location":{"id":"doi:10.1145/2818869.2818924","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2818869.2818924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ASE BigData &amp; SocialInformatics 2015","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/A5108033322","display_name":"Kuo\u2010Sin Lin","orcid":"https://orcid.org/0000-0003-2917-5261"},"institutions":[{"id":"https://openalex.org/I152100410","display_name":"Aletheia University","ror":"https://ror.org/00ke8ye77","country_code":"TW","type":"education","lineage":["https://openalex.org/I152100410"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Kuo-Sui Lin","raw_affiliation_strings":["Department of Information Management, Aletheia University, Taiwan, R.O.C","Department of Information Management, Aletheia University, Taiwan, R.O.C#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, Aletheia University, Taiwan, R.O.C","institution_ids":[]},{"raw_affiliation_string":"Department of Information Management, Aletheia University, Taiwan, R.O.C#TAB#","institution_ids":["https://openalex.org/I152100410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073341832","display_name":"Chih-Chung Chiu","orcid":null},"institutions":[{"id":"https://openalex.org/I152100410","display_name":"Aletheia University","ror":"https://ror.org/00ke8ye77","country_code":"TW","type":"education","lineage":["https://openalex.org/I152100410"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Chung Chiu","raw_affiliation_strings":["Department of Information Management, Aletheia University, Taiwan, R.O.C","Department of Information Management, Aletheia University, Taiwan, R.O.C#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, Aletheia University, Taiwan, R.O.C","institution_ids":[]},{"raw_affiliation_string":"Department of Information Management, Aletheia University, Taiwan, R.O.C#TAB#","institution_ids":["https://openalex.org/I152100410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108033322"],"corresponding_institution_ids":["https://openalex.org/I152100410"],"apc_list":null,"apc_paid":null,"fwci":1.2098,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81991997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9775000214576721,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.8469284176826477},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7026276588439941},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7020864486694336},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6189903020858765},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.585706889629364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5691888332366943},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.541476309299469},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5390488505363464},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5385203957557678},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5213162302970886},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5060610175132751},{"id":"https://openalex.org/keywords/ordinal-scale","display_name":"Ordinal Scale","score":0.4972083866596222},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4901164472103119},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4672057032585144},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4379359483718872},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39210382103919983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3861859440803528},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3333529531955719},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3286476731300354},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2443593144416809},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11455535888671875},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.09747979044914246},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0875735878944397}],"concepts":[{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.8469284176826477},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7026276588439941},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7020864486694336},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6189903020858765},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.585706889629364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5691888332366943},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.541476309299469},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5390488505363464},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5385203957557678},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5213162302970886},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5060610175132751},{"id":"https://openalex.org/C2909711754","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal Scale","level":2,"score":0.4972083866596222},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4901164472103119},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4672057032585144},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4379359483718872},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39210382103919983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3861859440803528},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3333529531955719},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3286476731300354},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2443593144416809},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11455535888671875},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.09747979044914246},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0875735878944397},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2818869.2818924","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2818869.2818924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ASE BigData &amp; SocialInformatics 2015","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W374465981","https://openalex.org/W1486317198","https://openalex.org/W1490873256","https://openalex.org/W1660390307","https://openalex.org/W1956559956","https://openalex.org/W1980748255","https://openalex.org/W2003274231","https://openalex.org/W2063832217","https://openalex.org/W2065482162","https://openalex.org/W2070412788","https://openalex.org/W2110325612","https://openalex.org/W2117148965","https://openalex.org/W2157041604","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2951075339","https://openalex.org/W4226161247","https://openalex.org/W1966742602","https://openalex.org/W126212742","https://openalex.org/W3134944010","https://openalex.org/W1948687848","https://openalex.org/W2953417386","https://openalex.org/W2473504045","https://openalex.org/W2394168050","https://openalex.org/W57923944"],"abstract_inverted_index":{"In":[0,31],"our":[1],"previous":[2],"study,":[3],"we":[4,35],"proposed":[5,93,116],"a":[6,82,101],"recommender":[7,98],"system":[8],"for":[9,24,88,120],"interior":[10,122],"design":[11,39,123],"drawing":[12,124],"retrieval.":[13],"The":[14,64],"yes-no":[15],"binary":[16,25],"measurement":[17,90],"scale":[18],"is":[19,92,105],"used":[20],"in":[21,79],"that":[22,37],"paper":[23],"bit":[26],"string":[27],"cosine":[28,51,65],"similarity":[29,52,66,85,117],"matching.":[30],"further":[32],"practical":[33],"application,":[34],"found":[36],"the":[38,97,110,115],"features":[40],"could":[41],"be":[42],"interval,":[43,58],"nominal,":[44,59],"ordinal":[45,60],"or":[46],"ratio":[47,62],"scales.":[48,63],"However,":[49],"current":[50],"measure":[53,67,71],"scarcely":[54],"deals":[55],"with":[56],"mixed":[57,72,89],"and":[61,74,94,112],"function":[68],"fails":[69],"to":[70,96,108],"qualitative":[73],"quantitative":[75],"scales":[76,91],"simultaneously.":[77],"Therefore,":[78],"this":[80],"study":[81,104],"new":[83],"fuzzy":[84],"matching":[86,118],"model":[87,119],"applied":[95],"system.":[99],"Finally,":[100],"numerical":[102],"case":[103],"carried":[106],"out":[107],"demonstrate":[109],"effectiveness":[111],"capabilities":[113],"of":[114],"handling":[121],"recommendation":[125],"problems.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
