{"id":"https://openalex.org/W3077915669","doi":"https://doi.org/10.1109/iske47853.2019.9170316","title":"Predicting a User\u2019s Purchase Intention Using AdaBoost","display_name":"Predicting a User\u2019s Purchase Intention Using AdaBoost","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3077915669","doi":"https://doi.org/10.1109/iske47853.2019.9170316","mag":"3077915669"},"language":"en","primary_location":{"id":"doi:10.1109/iske47853.2019.9170316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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/A5081352919","display_name":"Danah Algawiaz","orcid":null},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Danah Algawiaz","raw_affiliation_strings":["University of Auckland,School of Computer Science,Auckland,New Zealand","School of Computer Science, University of Auckland, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Auckland,School of Computer Science,Auckland,New Zealand","institution_ids":["https://openalex.org/I154130895"]},{"raw_affiliation_string":"School of Computer Science, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016115576","display_name":"Gillian Dobbie","orcid":"https://orcid.org/0000-0001-7245-0367"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Gillian Dobbie","raw_affiliation_strings":["University of Auckland,School of Computer Science,Auckland,New Zealand","School of Computer Science, University of Auckland, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Auckland,School of Computer Science,Auckland,New Zealand","institution_ids":["https://openalex.org/I154130895"]},{"raw_affiliation_string":"School of Computer Science, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076639190","display_name":"Shafiq Alam","orcid":"https://orcid.org/0000-0002-9566-8040"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Shafiq Alam","raw_affiliation_strings":["University of Auckland,School of Computer Science,Auckland,New Zealand","School of Computer Science, University of Auckland, Auckland, New Zealand"],"affiliations":[{"raw_affiliation_string":"University of Auckland,School of Computer Science,Auckland,New Zealand","institution_ids":["https://openalex.org/I154130895"]},{"raw_affiliation_string":"School of Computer Science, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081352919"],"corresponding_institution_ids":["https://openalex.org/I154130895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.37290786,"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":"324","last_page":"328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9962000250816345,"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/computer-science","display_name":"Computer science","score":0.7503185868263245},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6805900931358337},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.6536767482757568},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4994816780090332},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3124515414237976},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.07737696170806885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7503185868263245},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6805900931358337},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.6536767482757568},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4994816780090332},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3124515414237976},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.07737696170806885},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske47853.2019.9170316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1486317198","https://openalex.org/W1976526581","https://openalex.org/W2039717455","https://openalex.org/W2082893943","https://openalex.org/W2087906029","https://openalex.org/W2155806188","https://openalex.org/W2162111811","https://openalex.org/W2171960770","https://openalex.org/W2325572542","https://openalex.org/W2773695206","https://openalex.org/W2801922753","https://openalex.org/W2883762696","https://openalex.org/W2911125150","https://openalex.org/W3122836841","https://openalex.org/W6753219968"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510"],"abstract_inverted_index":{"The":[0,54,89,115],"goal":[1],"of":[2],"ecommerce":[3],"recommender":[4],"systems":[5],"is":[6,101],"to":[7,14,33,83,109,126],"increase":[8],"sales":[9],"by":[10],"providing":[11,38],"accurate":[12],"recommendations":[13],"the":[15,51,80,98,106],"users.":[16,53],"However,":[17],"users":[18],"purchase":[19,28,36,65,87,113,130],"intention":[20,66],"plays":[21],"a":[22,27,35,39,63,85,111,128],"vital":[23],"role":[24],"in":[25],"making":[26],"and":[29,67,72,97],"ignoring":[30],"their":[31],"desire":[32],"make":[34],"before":[37],"recommendation":[40,44],"can":[41,61],"negatively":[42],"influence":[43,62],"accuracy":[45,96],"because":[46],"it":[47],"does":[48],"not":[49],"target":[50],"specific":[52],"proposed":[55,116],"model":[56,117],"identifies":[57],"eight":[58],"factors":[59,76,108],"that":[60,92,122],"user's":[64,86,112,129],"categorises":[68],"them":[69],"as":[70],"user":[71],"population":[73],"behaviors.":[74],"These":[75],"are":[77],"fed":[78],"into":[79],"AdaBoost":[81],"algorithm":[82],"predict":[84,110,127],"intention.":[88,114,131],"results":[90],"show":[91],"we":[93,104],"achieve":[94],"high":[95],"ROC":[99],"area":[100],"0.91,":[102],"when":[103],"use":[105],"identified":[107],"outperforms":[118],"two":[119],"state-of-the-art":[120],"models":[121],"have":[123],"been":[124],"used":[125]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
