{"id":"https://openalex.org/W4206806590","doi":"https://doi.org/10.1109/tkde.2022.3140387","title":"An Adaptive, Context-Aware, and Stacked Attention Network-Based Recommendation System to Capture Users\u2019 Temporal Preference","display_name":"An Adaptive, Context-Aware, and Stacked Attention Network-Based Recommendation System to Capture Users\u2019 Temporal Preference","publication_year":2022,"publication_date":"2022-01-05","ids":{"openalex":"https://openalex.org/W4206806590","doi":"https://doi.org/10.1109/tkde.2022.3140387"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3140387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3140387","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5062802526","display_name":"Jung-Hsien Chiang","orcid":"https://orcid.org/0000-0002-4657-6705"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jung-Hsien Chiang","raw_affiliation_strings":["Institute of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068088234","display_name":"Chung-Yao Ma","orcid":"https://orcid.org/0000-0003-3824-728X"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Yao Ma","raw_affiliation_strings":["Institute of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029821404","display_name":"Chi-Shiang Wang","orcid":"https://orcid.org/0000-0002-8707-279X"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Shiang Wang","raw_affiliation_strings":["Institute of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001724366","display_name":"Pei-Yi Hao","orcid":"https://orcid.org/0000-0003-3300-3710"},"institutions":[{"id":"https://openalex.org/I4387154394","display_name":"National Kaohsiung University of Science and Technology","ror":"https://ror.org/00hfj7g70","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154394"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pei-Yi Hao","raw_affiliation_strings":["Department of Intelligent Commerce, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Intelligent Commerce, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4387154394"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5062802526"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":5.4062,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.95845145,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"35","issue":"4","first_page":"3404","last_page":"3418"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9887999892234802,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8872512578964233},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8132940530776978},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6055448651313782},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5903922319412231},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4914590120315552},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4565945565700531},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4128607213497162},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3528600335121155},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.33353060483932495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33034461736679077},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3274843096733093}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8872512578964233},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8132940530776978},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6055448651313782},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5903922319412231},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4914590120315552},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4565945565700531},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4128607213497162},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3528600335121155},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33353060483932495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33034461736679077},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3274843096733093},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2022.3140387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3140387","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.47999998927116394,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2156948635","display_name":null,"funder_award_id":"MOST 110-2634-F-006-021","funder_id":"https://openalex.org/F4320322108","funder_display_name":"Ministry of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320322108","display_name":"Ministry of Science and Technology","ror":"https://ror.org/032e49973"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W107995869","https://openalex.org/W1895577753","https://openalex.org/W1924770834","https://openalex.org/W2027731328","https://openalex.org/W2097998348","https://openalex.org/W2099866409","https://openalex.org/W2105482032","https://openalex.org/W2108920354","https://openalex.org/W2112430581","https://openalex.org/W2138857742","https://openalex.org/W2140310134","https://openalex.org/W2163922914","https://openalex.org/W2512965516","https://openalex.org/W2604662567","https://openalex.org/W2605246672","https://openalex.org/W2605350416","https://openalex.org/W2654637199","https://openalex.org/W2740934577","https://openalex.org/W2788997749","https://openalex.org/W2802187397","https://openalex.org/W2808310571","https://openalex.org/W2809583854","https://openalex.org/W2810288658","https://openalex.org/W2902040508","https://openalex.org/W2907285595","https://openalex.org/W2911488506","https://openalex.org/W2949274928","https://openalex.org/W2963367478","https://openalex.org/W2972642671","https://openalex.org/W3012752604","https://openalex.org/W3035666843","https://openalex.org/W3084466723","https://openalex.org/W3088658870","https://openalex.org/W3137911837","https://openalex.org/W3171228128","https://openalex.org/W3185693672","https://openalex.org/W4289676341","https://openalex.org/W6607775107","https://openalex.org/W6623517193","https://openalex.org/W6631190155","https://openalex.org/W6640212811","https://openalex.org/W6674385629","https://openalex.org/W6675897241","https://openalex.org/W6680300913","https://openalex.org/W6692935382","https://openalex.org/W6732193342","https://openalex.org/W6739901393","https://openalex.org/W6753544890"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W4238861846","https://openalex.org/W3125580266","https://openalex.org/W1657011257","https://openalex.org/W2355392461"],"abstract_inverted_index":{"Recommendation":[0,48],"systems":[1,49],"have":[2],"become":[3],"more":[4,102],"important":[5],"since":[6],"the":[7,11,40,43,73,105,109,127,144,153,175,181,198,208,217],"widespread":[8],"use":[9],"of":[10,16,39,45,76,146,155],"Internet.":[12],"The":[13,130,148,163,193],"large":[14],"amount":[15],"information":[17,97,172,213],"means":[18],"that":[19,70,197],"it":[20],"is":[21,59,111,166,214],"difficult":[22,61],"for":[23,126],"users":[24],"to":[25,72,82,98,160,173],"discover":[26],"what":[27],"they":[28],"really":[29],"need.":[30],"However,":[31],"users\u2019":[32,52,83,100,114,141,156],"preferences":[33,53,75,85,101,157],"can":[34],"change":[35],"over":[36],"time":[37],"because":[38],"age":[41],"and":[42,54,80,143,158,206],"impact":[44],"social":[46],"networks.":[47],"must":[50],"capture":[51],"recommend":[55],"suitable":[56],"items,":[57],"which":[58,211],"a":[60,66],"challenge.":[62],"This":[63,90,119],"study":[64,91,120],"proposes":[65,121],"novel":[67,123],"recommendation":[68,107,128,164,187,201],"system":[69],"adapts":[71,159],"changing":[74,84,138,161],"users.":[77],"By":[78],"learning":[79],"adapting":[81],"better":[86],"recommendations":[87],"are":[88],"provided.":[89],"uses":[92],"context":[93,110],"factors":[94],"as":[95],"additional":[96,169],"model":[99,174,202],"accurately.":[103],"For":[104],"proposed":[106,182,199],"system,":[108],"based":[112],"on":[113],"most":[115],"recent":[116],"interaction":[117],"items.":[118,147],"two":[122],"attention":[124,133,150,218],"mechanisms":[125],"system.":[129],"contextual":[131,136,176,212],"item":[132],"module":[134,151],"captures":[135],"information,":[137],"pattern":[139],"in":[140],"preference":[142],"importance":[145],"multi-head":[149],"extends":[152],"diversity":[154],"preferences.":[162],"performance":[165],"improved":[167],"using":[168,189],"item's":[170,177],"temporal":[171],"representation.":[178],"Experiments":[179],"compare":[180],"algorithm":[183],"with":[184,210],"several":[185],"state-of-the-art":[186],"methods":[188,205],"three":[190],"real-world":[191],"datasets.":[192],"experimental":[194],"results":[195],"demonstrate":[196,207],"context-aware":[200],"outperforms":[203],"traditional":[204],"effectiveness":[209],"captured":[215],"by":[216],"mechanism.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}