{"id":"https://openalex.org/W2593598643","doi":"https://doi.org/10.1109/iwbis.2016.7872893","title":"Developing recommender systems for personalized email with big data","display_name":"Developing recommender systems for personalized email with big data","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2593598643","doi":"https://doi.org/10.1109/iwbis.2016.7872893","mag":"2593598643"},"language":"en","primary_location":{"id":"doi:10.1109/iwbis.2016.7872893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwbis.2016.7872893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Workshop on Big Data and Information Security (IWBIS)","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/A5011979629","display_name":"Alexander Agung Santoso Gunawan","orcid":"https://orcid.org/0000-0002-1097-5173"},"institutions":[{"id":"https://openalex.org/I166073570","display_name":"Binus University","ror":"https://ror.org/03zmf4s77","country_code":"ID","type":"education","lineage":["https://openalex.org/I166073570"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Alexander A S Gunawan","raw_affiliation_strings":["Bina Nusantara University, West Jakarta, DKI Jakarta, ID"],"affiliations":[{"raw_affiliation_string":"Bina Nusantara University, West Jakarta, DKI Jakarta, ID","institution_ids":["https://openalex.org/I166073570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032274297","display_name":"Tania Tania","orcid":null},"institutions":[{"id":"https://openalex.org/I166073570","display_name":"Binus University","ror":"https://ror.org/03zmf4s77","country_code":"ID","type":"education","lineage":["https://openalex.org/I166073570"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Tania","raw_affiliation_strings":["Bina Nusantara University, West Jakarta, DKI Jakarta, ID"],"affiliations":[{"raw_affiliation_string":"Bina Nusantara University, West Jakarta, DKI Jakarta, ID","institution_ids":["https://openalex.org/I166073570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080650089","display_name":"Derwin Suhartono","orcid":"https://orcid.org/0000-0002-3271-5874"},"institutions":[{"id":"https://openalex.org/I166073570","display_name":"Binus University","ror":"https://ror.org/03zmf4s77","country_code":"ID","type":"education","lineage":["https://openalex.org/I166073570"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Derwin Suhartono","raw_affiliation_strings":["Bina Nusantara University, West Jakarta, DKI Jakarta, ID"],"affiliations":[{"raw_affiliation_string":"Bina Nusantara University, West Jakarta, DKI Jakarta, ID","institution_ids":["https://openalex.org/I166073570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011979629"],"corresponding_institution_ids":["https://openalex.org/I166073570"],"apc_list":null,"apc_paid":null,"fwci":1.9904,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.907141,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"77","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11478","display_name":"Caching and Content Delivery","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.978600025177002,"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/recommender-system","display_name":"Recommender system","score":0.8970299959182739},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8187222480773926},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6652402281761169},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6177182197570801},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.6024134159088135},{"id":"https://openalex.org/keywords/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.5696889758110046},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5508766174316406},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.518476665019989},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5030996203422546},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4801473021507263},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4108848571777344},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3824763298034668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2935822904109955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1616089642047882},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09069660305976868}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8970299959182739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8187222480773926},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6652402281761169},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6177182197570801},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.6024134159088135},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.5696889758110046},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5508766174316406},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.518476665019989},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5030996203422546},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4801473021507263},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4108848571777344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3824763298034668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2935822904109955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1616089642047882},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09069660305976868},{"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwbis.2016.7872893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwbis.2016.7872893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Workshop on Big Data and Information Security (IWBIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1597703625","https://openalex.org/W1736726159","https://openalex.org/W2105953200","https://openalex.org/W2188572693","https://openalex.org/W2461518547"],"related_works":["https://openalex.org/W3185823052","https://openalex.org/W2389818373","https://openalex.org/W4387754117","https://openalex.org/W2576320324","https://openalex.org/W4387359329","https://openalex.org/W88463392","https://openalex.org/W4391382803","https://openalex.org/W4318187622","https://openalex.org/W3197846799","https://openalex.org/W3136298662"],"abstract_inverted_index":{"Recommender":[0],"systems":[1,20],"are":[2,115],"nowadays":[3],"widely":[4],"used":[5],"in":[6,18,40,136],"e-commerce":[7,71],"industry":[8],"to":[9,45,61,117],"boost":[10],"its":[11],"sale.":[12],"One":[13],"of":[14,50,69],"the":[15,51,75,118,133,137],"popular":[16],"algorithms":[17],"recommender":[19,64],"is":[21,30],"collaborative":[22],"filtering.":[23],"The":[24,107],"fundamental":[25],"assumption":[26],"behind":[27],"this":[28,56,83],"algorithm":[29],"that":[31],"other":[32],"users'":[33],"opinions":[34],"can":[35],"be":[36],"filtered":[37],"and":[38,73,94,104,140],"accumulated":[39],"such":[41],"a":[42,47,63,78],"way":[43],"as":[44],"provide":[46],"plausible":[48],"prediction":[49],"target":[52],"user's":[53],"preference.":[54],"In":[55],"paper,":[57],"we":[58,85],"would":[59],"like":[60],"develop":[62],"system":[65],"with":[66,129],"big":[67],"data":[68],"one":[70],"company":[72,92],"deliver":[74],"recommendations":[76,120],"through":[77],"personalized":[79],"email.":[80],"To":[81],"address":[82],"problem,":[84],"propose":[86],"user-based":[87],"collaboration":[88],"filter":[89],"based":[90,121,143],"on":[91,122,144],"dataset":[93],"employ":[95],"several":[96],"similarity":[97],"functions:":[98],"Euclidean":[99],"distance,":[100],"Cosine,":[101],"Pearson":[102],"correlation":[103],"Tanimoto":[105,127],"coefficient.":[106],"experimental":[108],"results":[109],"show":[110],"that:":[111],"(i)":[112],"user":[113,123],"responses":[114],"positive":[116],"given":[119],"perception":[124],"survey":[125],"(ii)":[126],"coefficient":[128],"10":[130],"neighbors":[131],"shows":[132],"best":[134],"performance":[135],"RMSE,":[138],"precision":[139],"recall":[141],"evaluation":[142],"groundtruth":[145],"dataset.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
