{"id":"https://openalex.org/W2568295826","doi":"https://doi.org/10.1109/iwcia.2016.7805743","title":"Recommendation incorporating transition of temporally intensive unity","display_name":"Recommendation incorporating transition of temporally intensive unity","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2568295826","doi":"https://doi.org/10.1109/iwcia.2016.7805743","mag":"2568295826"},"language":"en","primary_location":{"id":"doi:10.1109/iwcia.2016.7805743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcia.2016.7805743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA)","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/A5019018875","display_name":"Kenta Inuzuka","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenta Inuzuka","raw_affiliation_strings":["Department of Computer Science, Meiji University, Kawasaki-shi Kanagawa, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Meiji University, Kawasaki-shi Kanagawa, JAPAN","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083074698","display_name":"Tomonori Hayashi","orcid":"https://orcid.org/0000-0001-7929-5355"},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomonori Hayashi","raw_affiliation_strings":["Department of Computer Science, Meiji University, Kawasaki-shi Kanagawa, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Meiji University, Kawasaki-shi Kanagawa, JAPAN","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101138074","display_name":"Tomohiro Takagi","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Takagi","raw_affiliation_strings":["Department of Computer Science, Meiji University, Kawasaki-shi Kanagawa, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Meiji University, Kawasaki-shi Kanagawa, JAPAN","institution_ids":["https://openalex.org/I16656306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6904,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81885159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"24","issue":null,"first_page":"21","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision 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":0.98089998960495,"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":0.7223678827285767},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.71824711561203},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6234469413757324},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5432502031326294},{"id":"https://openalex.org/keywords/purchasing","display_name":"Purchasing","score":0.5087493062019348},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4755527675151825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4323456287384033},{"id":"https://openalex.org/keywords/preference-elicitation","display_name":"Preference elicitation","score":0.41867581009864807},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35706448554992676},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34536269307136536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1566145122051239},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11591112613677979},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.10618755221366882}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7223678827285767},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.71824711561203},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6234469413757324},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5432502031326294},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.5087493062019348},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4755527675151825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4323456287384033},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.41867581009864807},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35706448554992676},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34536269307136536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1566145122051239},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11591112613677979},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.10618755221366882},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcia.2016.7805743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcia.2016.7805743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W66583193","https://openalex.org/W1560147776","https://openalex.org/W1880262756","https://openalex.org/W1983576966","https://openalex.org/W1993541285","https://openalex.org/W2045450443","https://openalex.org/W2054141820","https://openalex.org/W2057763140","https://openalex.org/W2072992969","https://openalex.org/W2101409192","https://openalex.org/W2118718620","https://openalex.org/W2137245235","https://openalex.org/W2171343266","https://openalex.org/W2251814753","https://openalex.org/W2288972158","https://openalex.org/W2579575446","https://openalex.org/W3123036582","https://openalex.org/W4231510805","https://openalex.org/W4245605774","https://openalex.org/W6732614790","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W1657011257","https://openalex.org/W2159111852","https://openalex.org/W271352469","https://openalex.org/W64851098","https://openalex.org/W2050663403","https://openalex.org/W2073850970","https://openalex.org/W2015774502","https://openalex.org/W1979280215","https://openalex.org/W2069045970","https://openalex.org/W2057595487"],"abstract_inverted_index":{"It":[0],"is":[1,13,55,89,102],"important":[2],"to":[3,31,40,57],"note":[4],"that":[5,16,72,88,119],"user":[6,17,74],"preferences":[7,18,75],"change":[8,19],"over":[9],"time.":[10],"However,":[11],"it":[12,54],"not":[14],"guaranteed":[15],"at":[20],"a":[21,26,44,48,105,116],"steady":[22],"rate.":[23],"For":[24,51],"example,":[25],"person":[27],"who":[28],"intensively":[29,38],"listens":[30],"music":[32,42],"of":[33,43,78,85,94,104],"the":[34,41,83,86,90,127],"same":[35],"artist":[36,46],"might":[37],"listen":[39],"different":[45],"after":[47],"few":[49],"days.":[50],"this":[52,66],"reason,":[53],"effective":[56],"incorporate":[58],"such":[59,125],"preference":[60,79,87],"changes":[61,80],"into":[62],"recommender":[63],"systems.":[64],"In":[65],"paper,":[67],"we":[68],"propose":[69],"an":[70],"approach":[71,101,121],"predicts":[73],"with":[76],"consideration":[77],"by":[81],"learning":[82],"transition":[84],"temporally":[91],"intensive":[92],"unity":[93],"purchasing":[95],"items":[96],"as":[97,126],"one":[98],"preference.":[99],"Our":[100],"composed":[103],"Kalman":[106],"filter":[107],"and":[108],"matrix":[109],"factorization.":[110],"We":[111],"show":[112],"through":[113],"experiments":[114],"using":[115],"real-world":[117],"dataset":[118],"our":[120],"outperforms":[122],"competitive":[123],"methods":[124],"first":[128],"order":[129],"Markov":[130],"model.":[131]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
