{"id":"https://openalex.org/W4296886567","doi":"https://doi.org/10.1109/inista55318.2022.9894161","title":"A Session-Based Recommendation Approach with Word Embeddings","display_name":"A Session-Based Recommendation Approach with Word Embeddings","publication_year":2022,"publication_date":"2022-08-08","ids":{"openalex":"https://openalex.org/W4296886567","doi":"https://doi.org/10.1109/inista55318.2022.9894161"},"language":"en","primary_location":{"id":"doi:10.1109/inista55318.2022.9894161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/inista55318.2022.9894161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5012244756","display_name":"Ahmet Tu\u011frul Bayrak","orcid":"https://orcid.org/0009-0009-6043-2765"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ahmet Tugrul Bayrak","raw_affiliation_strings":["Huawei Turkey R&D Center,Research and Development Center,İstanbul,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Turkey R&D Center,Research and Development Center,İstanbul,Turkey","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5012244756"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.9995999932289124,"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":0.9995999932289124,"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/T10028","display_name":"Topic Modeling","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"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9976000189781189,"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":0.8916028738021851},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7645086050033569},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.757081925868988},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.7370332479476929},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.7174975275993347},{"id":"https://openalex.org/keywords/purchasing","display_name":"Purchasing","score":0.709457516670227},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.617473840713501},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6114853024482727},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5065449476242065},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4383085370063782},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4284900426864624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4021577835083008},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36389148235321045},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.35050085186958313},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3027307987213135},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.092125803232193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08892986178398132}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.8916028738021851},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7645086050033569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.757081925868988},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.7370332479476929},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.7174975275993347},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.709457516670227},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.617473840713501},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6114853024482727},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5065449476242065},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4383085370063782},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4284900426864624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4021577835083008},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36389148235321045},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.35050085186958313},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3027307987213135},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.092125803232193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08892986178398132},{"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/inista55318.2022.9894161","is_oa":false,"landing_page_url":"https://doi.org/10.1109/inista55318.2022.9894161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5099999904632568,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1015675232","https://openalex.org/W1553696291","https://openalex.org/W1614298861","https://openalex.org/W1828724394","https://openalex.org/W1965667542","https://openalex.org/W2104489408","https://openalex.org/W2135511601","https://openalex.org/W2144487656","https://openalex.org/W2250879510","https://openalex.org/W2398028996","https://openalex.org/W2399167294","https://openalex.org/W2553981914","https://openalex.org/W2563351168","https://openalex.org/W2740276176","https://openalex.org/W2964341035","https://openalex.org/W4293863207","https://openalex.org/W6633402183","https://openalex.org/W6636510571","https://openalex.org/W6638665372","https://openalex.org/W6675508287","https://openalex.org/W6712215407","https://openalex.org/W6712620868","https://openalex.org/W6730169232","https://openalex.org/W6731031554"],"related_works":["https://openalex.org/W4313384562","https://openalex.org/W4313247739","https://openalex.org/W2952874106","https://openalex.org/W3046869600","https://openalex.org/W3036348210","https://openalex.org/W4362557444","https://openalex.org/W4254304201","https://openalex.org/W2596026555","https://openalex.org/W4296886567","https://openalex.org/W3113012686"],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"have":[2,39,68],"become":[3],"prominent":[4],"in":[5,94,132,141],"past":[6],"years.":[7],"Today,":[8],"many":[9],"service":[10],"providers":[11],"use":[12,127],"recommendation":[13,43,134],"systems.":[14,44],"Considering":[15],"the":[16,30,34,53,57,79,85,92,95,110,126],"number":[17],"of":[18,87,89,128],"products":[19,32,58,93],"and":[20,26,59,74,112,137],"customers,":[21],"it":[22,48],"is":[23,49],"crucially":[24],"important":[25],"necessary":[27],"to":[28,33,51,84,105,108],"meet":[29],"right":[31,35],"customers.":[36],"Various":[37],"methods":[38,131],"been":[40,69],"applied":[41,104,140],"for":[42],"In":[45,99],"our":[46],"study,":[47],"aimed":[50],"examine":[52],"purchasing":[54],"relationship":[55,80],"between":[56,81],"recommend":[60],"alternative":[61],"products.":[62],"To":[63],"achieve":[64],"this,":[65],"product":[66,106,133],"spaces":[67],"created":[70],"by":[71],"applying":[72],"Word2Vec":[73],"FastText":[75],"models,":[76],"which":[77],"extract":[78],"words":[82],"according":[83],"frequency":[86],"occurrence":[88],"items,":[90],"on":[91],"same":[96],"basket":[97],"(Item2Vec).":[98],"addition,":[100],"pre-trained":[101],"models":[102,118],"are":[103,114,135],"names":[107],"measure":[109],"similarity":[111],"they":[113],"ensembled":[115],"with":[116,119],"Item2Vec":[117],"different":[120],"weights.":[121],"The":[122],"results":[123],"obtained":[124],"regarding":[125],"word":[129],"embedding":[130],"reassuring":[136],"may":[138],"be":[139],"following":[142],"projects.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}