{"id":"https://openalex.org/W2793579735","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302310","title":"A novel recommender system for E-commerce","display_name":"A novel recommender system for E-commerce","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2793579735","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302310","mag":"2793579735"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8302310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5063662867","display_name":"Pang-Ming Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Pang-Ming Chu","raw_affiliation_strings":["Department of Electrical Engineering, National Sun Yat-sen university, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Sun Yat-sen university, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024403730","display_name":"Shie-Jue Lee","orcid":"https://orcid.org/0000-0001-8004-4625"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shie-Jue Lee","raw_affiliation_strings":["Department of Electrical Engineering, National Sun Yat-sen university, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Sun Yat-sen university, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063662867"],"corresponding_institution_ids":["https://openalex.org/I142974352"],"apc_list":null,"apc_paid":null,"fwci":2.9018,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.93137847,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9794999957084656,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9790999889373779,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8993657231330872},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.838243305683136},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.6893541812896729},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6447820663452148},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5415210723876953},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5138233304023743},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4950184226036072},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.47194331884384155},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.43565648794174194},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.43198734521865845},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41442063450813293},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3556155562400818},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3352919816970825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3290528655052185},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3213229477405548}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8993657231330872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.838243305683136},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.6893541812896729},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6447820663452148},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5415210723876953},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5138233304023743},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4950184226036072},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.47194331884384155},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.43565648794174194},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.43198734521865845},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41442063450813293},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3556155562400818},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3352919816970825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3290528655052185},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3213229477405548},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2017.8302310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1966261380","https://openalex.org/W2017118962","https://openalex.org/W2059144574","https://openalex.org/W2080373372","https://openalex.org/W2098725265","https://openalex.org/W2153578526","https://openalex.org/W2153579005","https://openalex.org/W2165925340","https://openalex.org/W2546748835","https://openalex.org/W2568618480","https://openalex.org/W2950577311","https://openalex.org/W3104688503","https://openalex.org/W4294170691","https://openalex.org/W6682691769"],"related_works":["https://openalex.org/W2980729574","https://openalex.org/W1560851690","https://openalex.org/W3092047717","https://openalex.org/W4390881630","https://openalex.org/W2770162183","https://openalex.org/W3110772647","https://openalex.org/W2947721150","https://openalex.org/W2894231409","https://openalex.org/W3127365535","https://openalex.org/W2995297654"],"abstract_inverted_index":{"Recommender":[0],"systems":[1,43],"play":[2],"an":[3],"important":[4],"role":[5],"in":[6,14,77],"human":[7],"lives":[8],"nowadays.":[9],"They":[10],"have":[11,116],"been":[12],"used":[13,142],"many":[15],"electronic":[16],"commercial":[17],"activities,":[18],"and":[19,36,72],"are":[20,44,53,74,158],"growing":[21],"more":[22],"popularly":[23],"due":[24],"to":[25,62,102,109,127,143,148],"the":[26,48,78,88,113,119,129,145,155,172],"development":[27],"of":[28,31,59,70,90,152,165,174],"IOT":[29],"(Internet":[30],"Things),":[32],"big":[33],"data":[34,85,131,180],"analysis,":[35],"machine":[37],"learning":[38],"techniques.":[39],"However,":[40],"most":[41],"recommender":[42,92],"only":[45],"based":[46],"on":[47,118],"user-item":[49],"rating":[50],"matrices":[51],"which":[52],"usually":[54,75],"very":[55],"sparse.":[56],"The":[57,163],"lack":[58],"information":[60,111],"leads":[61],"bad":[63],"recommendation":[64,79,156],"results.":[65],"Furthermore,":[66],"a":[67,91,99,133,149],"large":[68],"number":[69,151],"users":[71,115],"items":[73,120,147],"involved":[76,146],"process.":[80],"These":[81],"extremely":[82],"high":[83],"dimensional":[84],"may":[86],"thwart":[87],"efficiency":[89],"system.":[93],"In":[94],"this":[95],"paper,":[96],"we":[97],"propose":[98],"novel":[100],"method":[101,168],"overcome":[103],"these":[104],"problems.":[105],"Word2Vec":[106],"is":[107,125,140,169],"adopted":[108],"extract":[110],"from":[112],"comments":[114],"made":[117],"bought.":[121],"Then":[122],"dimensionality":[123],"reduction":[124],"applied":[126],"project":[128],"acquired":[130],"into":[132],"lower":[134],"dimension":[135],"space.":[136],"A":[137],"clustering":[138],"algorithm":[139],"then":[141],"group":[144],"small":[150],"clusters.":[153],"Finally,":[154],"results":[157,173],"generated":[159],"for":[160],"each":[161],"user.":[162],"effectiveness":[164],"our":[166],"proposed":[167],"demonstrated":[170],"by":[171],"experiments":[175],"with":[176],"some":[177],"real":[178],"world":[179],"sets.":[181]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}