{"id":"https://openalex.org/W3091644754","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206871","title":"Using Word2Vec Recommendation for Improved Purchase Prediction","display_name":"Using Word2Vec Recommendation for Improved Purchase Prediction","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3091644754","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206871","mag":"3091644754"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5037752810","display_name":"Ramazan Esmeli","orcid":"https://orcid.org/0000-0002-2634-6224"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ramazan Esmeli","raw_affiliation_strings":["School of Computing, University of Portsmouth, Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004388109","display_name":"Mohamed Bader\u2013El\u2013Den","orcid":"https://orcid.org/0000-0002-1123-6823"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mohamed Bader-El-Den","raw_affiliation_strings":["School of Computing, University of Portsmouth, Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038347565","display_name":"Hassana Abdullahi","orcid":"https://orcid.org/0000-0003-2347-6848"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hassana Abdullahi","raw_affiliation_strings":["School of Mathematics and Physics, University of Portsmouth, Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics, University of Portsmouth, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037752810"],"corresponding_institution_ids":["https://openalex.org/I63072094"],"apc_list":null,"apc_paid":null,"fwci":2.1919,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.90238214,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994000196456909,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9984999895095825,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.9846395254135132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.750969648361206},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.7389850616455078},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5908930897712708},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5276790261268616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49663859605789185},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4582800269126892},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4531283378601074},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.41625893115997314},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3824060559272766},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3742862343788147},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32752883434295654},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1663855016231537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1026582419872284}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.9846395254135132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.750969648361206},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.7389850616455078},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5908930897712708},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5276790261268616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49663859605789185},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4582800269126892},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4531283378601074},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.41625893115997314},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3824060559272766},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3742862343788147},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32752883434295654},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1663855016231537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1026582419872284},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:87c78cd7-8dfe-4d57-a2a9-e024636eea07","is_oa":false,"landing_page_url":"https://avesis.yyu.edu.tr/publication/details/87c78cd7-8dfe-4d57-a2a9-e024636eea07/oai","pdf_url":null,"source":{"id":"https://openalex.org/S7407055328","display_name":"Van Y\u00fcz\u00fcnc\u00fc Y\u0131l University Academic Data Management System","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:researchportal.port.ac.uk:publications/b738c200-eb49-41a2-9415-8ad19eccbeb9","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401774","display_name":"Portsmouth Research Portal (University of Portsmouth)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63072094","host_organization_name":"University of Portsmouth","host_organization_lineage":["https://openalex.org/I63072094"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W32988189","https://openalex.org/W91904439","https://openalex.org/W295894637","https://openalex.org/W1181528786","https://openalex.org/W2013633172","https://openalex.org/W2077563243","https://openalex.org/W2083606554","https://openalex.org/W2222911438","https://openalex.org/W2250539671","https://openalex.org/W2326760547","https://openalex.org/W2339258924","https://openalex.org/W2399712560","https://openalex.org/W2515413370","https://openalex.org/W2551217426","https://openalex.org/W2553988944","https://openalex.org/W2588202084","https://openalex.org/W2740155805","https://openalex.org/W2746011824","https://openalex.org/W2751032815","https://openalex.org/W2752804894","https://openalex.org/W2753047523","https://openalex.org/W2753328553","https://openalex.org/W2769852870","https://openalex.org/W2791519498","https://openalex.org/W2794543474","https://openalex.org/W2799782400","https://openalex.org/W2803015509","https://openalex.org/W2803478834","https://openalex.org/W2806935965","https://openalex.org/W2809307135","https://openalex.org/W2883762696","https://openalex.org/W2896805537","https://openalex.org/W2916191623","https://openalex.org/W2951241690","https://openalex.org/W2954996010","https://openalex.org/W2955347309","https://openalex.org/W2957191877","https://openalex.org/W2962739339","https://openalex.org/W2964316331","https://openalex.org/W2964341035","https://openalex.org/W2966172650","https://openalex.org/W2970981605","https://openalex.org/W2972941122","https://openalex.org/W3099726625","https://openalex.org/W3104806203","https://openalex.org/W3105114834","https://openalex.org/W4294170691","https://openalex.org/W4294629820","https://openalex.org/W4299286960","https://openalex.org/W4301213493","https://openalex.org/W6610517080","https://openalex.org/W6682691769","https://openalex.org/W6688897457","https://openalex.org/W6692935382","https://openalex.org/W6753219968","https://openalex.org/W6766987769"],"related_works":["https://openalex.org/W3003606604","https://openalex.org/W3040974839","https://openalex.org/W2795129682","https://openalex.org/W2905749112","https://openalex.org/W2346530426","https://openalex.org/W3099354896","https://openalex.org/W2890749918","https://openalex.org/W4287599800","https://openalex.org/W2772765860","https://openalex.org/W4312264180"],"abstract_inverted_index":{"Purchase":[0],"prediction":[1,57,130],"can":[2],"help":[3],"e-commerce":[4],"planners":[5],"plan":[6],"their":[7],"stock":[8],"and":[9,69],"personalised":[10],"offers.":[11],"Word2Vec":[12,32,77],"is":[13],"a":[14],"well-known":[15],"method":[16],"to":[17],"explore":[18],"word":[19],"relations":[20],"in":[21,36,52,55,122,131],"sentences":[22],"for":[23,39],"sentiment":[24],"analysing":[25,86],"by":[26,85],"creating":[27],"vector":[28],"representation":[29],"of":[30,49,66,89,92,104,118,128,133],"words.":[31],"models":[33],"are":[34],"used":[35],"many":[37],"works":[38],"product":[40],"recommendations.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45,70,100],"analyse":[46],"the":[47,53,61,67,81,87,105,119,123,126],"effect":[48],"item":[50],"similarities":[51,82],"sessions":[54],"purchase":[56,129],"performance.":[58],"We":[59,79,95],"choose":[60],"items":[62,75,84,107,121],"from":[63,73],"different":[64],"position":[65],"session,":[68],"derive":[71],"recommendations":[72,91],"selected":[74,93,106],"using":[76,115],"model.":[78],"assess":[80],"between":[83],"number":[88],"common":[90],"items.":[94],"train":[96],"classification":[97],"algorithms":[98],"after":[99],"include":[101],"similarity":[102,116],"calculations":[103],"as":[108],"session":[109,124],"features.":[110],"Computational":[111],"experiments":[112],"show":[113],"that":[114],"values":[117],"interacted":[120],"improves":[125],"performance":[127],"terms":[132],"F1":[134],"score.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
