{"id":"https://openalex.org/W2784024018","doi":"https://doi.org/10.1109/icawst.2017.8256470","title":"A simplified method for improving the performance of product recommendation with sparse data","display_name":"A simplified method for improving the performance of product recommendation with sparse data","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2784024018","doi":"https://doi.org/10.1109/icawst.2017.8256470","mag":"2784024018"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2017.8256470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2017.8256470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","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/A5100440642","display_name":"Li-Hua Li","orcid":"https://orcid.org/0000-0001-6327-885X"},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Li-Hua Li","raw_affiliation_strings":["Dept. of Information Management, Chaoyang University of Technology, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Management, Chaoyang University of Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I126145234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025436089","display_name":"Fu-Ming Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fu-Ming Lee","raw_affiliation_strings":["Dept. of Information Management, Chaoyang University of Technology, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Management, Chaoyang University of Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I126145234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079385524","display_name":"Bo-Liang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bo-Liang Chen","raw_affiliation_strings":["Dept. of Information Management, Chaoyang University of Technology, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Management, Chaoyang University of Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I126145234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109214583","display_name":"Shin-Fu Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shin-Fu Chen","raw_affiliation_strings":["Dept. of Information Management, Chaoyang University of Technology, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Information Management, Chaoyang University of Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I126145234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100440642"],"corresponding_institution_ids":["https://openalex.org/I126145234"],"apc_list":null,"apc_paid":null,"fwci":0.4836,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76662278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"318","last_page":"323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12384","display_name":"Customer churn and segmentation","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.980400025844574,"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/recommender-system","display_name":"Recommender system","score":0.8123509883880615},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8120195269584656},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7681044340133667},{"id":"https://openalex.org/keywords/notice","display_name":"Notice","score":0.7632901668548584},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.6015704870223999},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6006196737289429},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5616872310638428},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5404587388038635},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5147268772125244},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5067611336708069},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.43449482321739197},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4258686900138855},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.28660523891448975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2773395776748657},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10224995017051697}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8123509883880615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8120195269584656},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7681044340133667},{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.7632901668548584},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.6015704870223999},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6006196737289429},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5616872310638428},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5404587388038635},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5147268772125244},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5067611336708069},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.43449482321739197},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4258686900138855},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.28660523891448975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2773395776748657},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10224995017051697},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"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/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/icawst.2017.8256470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2017.8256470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1488971269","https://openalex.org/W1515529097","https://openalex.org/W1571497207","https://openalex.org/W1670817312","https://openalex.org/W1771044972","https://openalex.org/W1971040550","https://openalex.org/W1979117702","https://openalex.org/W1992742427","https://openalex.org/W1996283866","https://openalex.org/W2018597607","https://openalex.org/W2039285368","https://openalex.org/W2052966526","https://openalex.org/W2071976711","https://openalex.org/W2085937320","https://openalex.org/W2130624081","https://openalex.org/W2134610581","https://openalex.org/W2169757306","https://openalex.org/W2295381621","https://openalex.org/W2393540760","https://openalex.org/W2424871519","https://openalex.org/W2537125726","https://openalex.org/W2552638508","https://openalex.org/W2563145277","https://openalex.org/W4232980324","https://openalex.org/W6634319722","https://openalex.org/W6717604745"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622"],"abstract_inverted_index":{"As":[0,138],"the":[1,11,17,26,46,50,55,67,86,91,97,114,124,130,135,141,168,176,194],"development":[2],"and":[3,40,81,183,203],"population":[4],"of":[5,14,28,57,73,90,106,116,144,200],"Electronic":[6],"Commerce":[7],"(EC)":[8],"keeps":[9,30],"growing,":[10],"sheer":[12],"volume":[13],"data":[15,51,58,178],"makes":[16],"EC":[18,87],"more":[19],"challenge":[20],"to":[21,65,121],"handle.":[22],"For":[23],"example,":[24],"if":[25],"number":[27],"products":[29],"increasing,":[31],"a":[32,104,139,157],"regular":[33],"user-item":[34],"transaction":[35],"records":[36],"may":[37],"get":[38],"bigger":[39,41],"which":[42,103],"will":[43],"usually":[44,127],"form":[45],"sparse":[47],"matrix.":[48],"When":[49],"sparsity":[52,131,169],"is":[53,96,111,119,192],"formed,":[54],"performance":[56,143],"analysis":[59],"should":[60],"be":[61],"aware.":[62],"In":[63],"order":[64],"promote":[66],"product":[68],"under":[69],"hundreds":[70],"or":[71],"thousands":[72],"items,":[74],"recommender":[75],"systems":[76],"have":[77],"been":[78],"intensively":[79],"studied":[80],"are":[82],"highly":[83],"applied":[84],"in":[85,102,198],"environment.":[88],"One":[89],"most":[92],"popular":[93],"recommendation":[94,146,164,204],"methods":[95,197],"collaborative":[98],"filtering":[99],"(CF)":[100],"method":[101,174,191],"group":[105],"user/customer":[107],"with":[108,167],"similar":[109],"preference":[110],"chosen":[112],"for":[113,162,181,184],"reference":[115],"recommendation.":[117,137],"It":[118],"interesting":[120],"notice":[122],"that":[123,189],"past":[125],"researches":[126],"didn't":[128],"consider":[129],"problem":[132],"when":[133,165],"applying":[134],"CF":[136,145,163,196],"result,":[140],"time":[142,201],"is,":[147],"therefore,":[148],"constrained.":[149],"To":[150],"overcome":[151],"this":[152,154],"problem,":[153],"research":[155],"proposes":[156],"Simplified":[158],"Similarity":[159],"Measure":[160],"(SSM)":[161],"dealing":[166],"problem.":[170],"The":[171,186],"proposed":[172],"SSM":[173,190],"uses":[175],"real":[177],"from":[179],"Epinion.com":[180],"experiment":[182],"comparison.":[185],"results":[187],"show":[188],"outperform.ed":[193],"traditional":[195],"terms":[199],"efficiency":[202],"precision.":[205]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}