{"id":"https://openalex.org/W4312364297","doi":"https://doi.org/10.1109/dsit55514.2022.9943917","title":"Recommender System for Coupon Discount of E-commerce Applications","display_name":"Recommender System for Coupon Discount of E-commerce Applications","publication_year":2022,"publication_date":"2022-07-22","ids":{"openalex":"https://openalex.org/W4312364297","doi":"https://doi.org/10.1109/dsit55514.2022.9943917"},"language":"en","primary_location":{"id":"doi:10.1109/dsit55514.2022.9943917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit55514.2022.9943917","pdf_url":null,"source":{"id":"https://openalex.org/S4363608293","display_name":"2022 5th International Conference on Data Science and Information Technology (DSIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Data Science and Information Technology (DSIT)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.gla.ac.uk/view/author/51762.html>","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027677522","display_name":"Soravit Wetprasit","orcid":null},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Soravit Wetprasit","raw_affiliation_strings":["University of Glasgow,School of Computing Science,Glasgow,United Kingdom","School of Computing Science, University of Glasgow, Glasgow, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Glasgow,School of Computing Science,Glasgow,United Kingdom","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"School of Computing Science, University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101692230","display_name":"Qi Cao","orcid":"https://orcid.org/0000-0003-3243-5693"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qi Cao","raw_affiliation_strings":["University of Glasgow,School of Computing Science,Glasgow,United Kingdom","School of Computing Science, University of Glasgow, Glasgow, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Glasgow,School of Computing Science,Glasgow,United Kingdom","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"School of Computing Science, University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043390157","display_name":"Chee Kiat Seow","orcid":"https://orcid.org/0000-0002-6499-9410"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chee Kiat Seow","raw_affiliation_strings":["University of Glasgow,School of Computing Science,Glasgow,United Kingdom","School of Computing Science, University of Glasgow, Glasgow, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Glasgow,School of Computing Science,Glasgow,United Kingdom","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"School of Computing Science, University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I7882870"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9941999912261963,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9835000038146973,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.9329358339309692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7988171577453613},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6810683608055115},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.6227678656578064},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6093246340751648},{"id":"https://openalex.org/keywords/coupon","display_name":"Coupon","score":0.577463686466217},{"id":"https://openalex.org/keywords/e-commerce","display_name":"E-commerce","score":0.571130633354187},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5212522149085999},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.46326544880867004},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.4475937485694885},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43072837591171265},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4205884337425232},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41994738578796387},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32975542545318604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32952994108200073},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20413264632225037},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.15456333756446838},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08572039008140564}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.9329358339309692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7988171577453613},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6810683608055115},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.6227678656578064},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6093246340751648},{"id":"https://openalex.org/C2779307704","wikidata":"https://www.wikidata.org/wiki/Q11794832","display_name":"Coupon","level":2,"score":0.577463686466217},{"id":"https://openalex.org/C78597825","wikidata":"https://www.wikidata.org/wiki/Q484847","display_name":"E-commerce","level":2,"score":0.571130633354187},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5212522149085999},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.46326544880867004},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.4475937485694885},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43072837591171265},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4205884337425232},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41994738578796387},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32975542545318604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32952994108200073},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20413264632225037},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.15456333756446838},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08572039008140564},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dsit55514.2022.9943917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsit55514.2022.9943917","pdf_url":null,"source":{"id":"https://openalex.org/S4363608293","display_name":"2022 5th International Conference on Data Science and Information Technology (DSIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Data Science and Information Technology (DSIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.gla.ac.uk:278455","is_oa":true,"landing_page_url":"https://eprints.gla.ac.uk/view/author/51762.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference Proceedings"}],"best_oa_location":{"id":"pmh:oai:eprints.gla.ac.uk:278455","is_oa":true,"landing_page_url":"https://eprints.gla.ac.uk/view/author/51762.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference Proceedings"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1511814458","https://openalex.org/W1531957620","https://openalex.org/W1832221731","https://openalex.org/W1994579674","https://openalex.org/W2101409192","https://openalex.org/W2145360759","https://openalex.org/W2158856781","https://openalex.org/W2159094788","https://openalex.org/W2166559705","https://openalex.org/W2171960770","https://openalex.org/W2335363802","https://openalex.org/W2792101833","https://openalex.org/W2884720588","https://openalex.org/W2891639565","https://openalex.org/W2922338181","https://openalex.org/W2928304073","https://openalex.org/W3019553917","https://openalex.org/W3047015567","https://openalex.org/W3081063065","https://openalex.org/W3087915153","https://openalex.org/W4287834359","https://openalex.org/W6631878148","https://openalex.org/W6837981708"],"related_works":["https://openalex.org/W2974050152","https://openalex.org/W1481018110","https://openalex.org/W3150641959","https://openalex.org/W2200893828","https://openalex.org/W2606802280","https://openalex.org/W2083573183","https://openalex.org/W2903865210","https://openalex.org/W2229100616","https://openalex.org/W2893387448","https://openalex.org/W2952493207"],"abstract_inverted_index":{"Recommender":[0],"systems":[1,24],"have":[2],"recently":[3],"been":[4],"integrated":[5],"into":[6],"many":[7],"fields":[8],"to":[9,25,33,39,44,49,102,110,155],"introduce":[10],"numerous":[11],"appealing":[12],"products":[13],"and":[14,75,89,133],"help":[15],"with":[16,85],"consumer":[17],"decisions":[18],"in":[19,150],"item":[20],"selections.":[21],"Applying":[22],"recommender":[23,52,65,123],"coupon":[26,56],"discount":[27,108],"applications":[28],"could":[29],"improve":[30],"consumers":[31],"accessibility":[32],"coupons":[34],"of":[35,114,147,157],"their":[36],"interest,":[37],"leading":[38],"increased":[40],"product":[41],"sales":[42],"related":[43],"coupons.":[45],"The":[46,63],"research":[47],"aims":[48],"create":[50,111],"a":[51,68,118,143],"system":[53],"model":[54,66,70,124,141],"for":[55],"suggestions":[57],"based":[58],"on":[59],"customer":[60,86,107],"data":[61],"interactions.":[62],"proposed":[64,121,140],"is":[67],"hybrid":[69,122],"that":[71,156],"combines":[72],"matrix":[73,80],"factorization":[74,81],"association":[76,96],"rule":[77,97],"mining.":[78],"While":[79],"utilises":[82],"customer-item":[83],"interactions":[84],"transactions":[87,109],"history":[88],"information":[90],"as":[91],"the":[92,95,99,112,120,130,139,151,158],"implicit":[93],"feedback,":[94],"uses":[98],"Apriori":[100],"algorithm":[101],"find":[103],"frequent":[104],"itemsets":[105],"from":[106],"weight":[113],"each":[115],"item.":[116],"As":[117],"result,":[119],"provides":[125],"overall":[126],"performance":[127],"higher":[128],"than":[129],"baseline":[131,159],"models":[132],"other":[134],"benchmark":[135],"models.":[136,160],"In":[137],"addition,":[138],"has":[142],"precision":[144],"rank":[145],"increase":[146],"nearly":[148],"20%":[149],"same":[152],"dataset":[153],"compared":[154]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}