{"id":"https://openalex.org/W3007676315","doi":"https://doi.org/10.1109/bigdata47090.2019.9005686","title":"GRADI: Towards Group Recommendation Using Attentive Dual Top-Down and Bottom-Up Influences","display_name":"GRADI: Towards Group Recommendation Using Attentive Dual Top-Down and Bottom-Up Influences","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007676315","doi":"https://doi.org/10.1109/bigdata47090.2019.9005686","mag":"3007676315"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9005686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","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/A5006968903","display_name":"Zhixiang He","orcid":"https://orcid.org/0000-0003-0030-5915"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Zhixiang He","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022507249","display_name":"Chi-Yin Chow","orcid":"https://orcid.org/0000-0002-9566-0743"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chi-Yin Chow","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018287566","display_name":"Jia-Dong Zhang","orcid":"https://orcid.org/0000-0001-6378-5894"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jia-Dong Zhang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100369033","display_name":"Ning Li","orcid":"https://orcid.org/0000-0002-6224-1809"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ning Li","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006968903"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":2.0349,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90465528,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"631","last_page":"636"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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":0.9843000173568726,"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/T10028","display_name":"Topic Modeling","score":0.9775999784469604,"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/group","display_name":"Group (periodic table)","score":0.7894775867462158},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.7201943397521973},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5659805536270142},{"id":"https://openalex.org/keywords/top-down-and-bottom-up-design","display_name":"Top-down and bottom-up design","score":0.5267343521118164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49148619174957275},{"id":"https://openalex.org/keywords/entertainment","display_name":"Entertainment","score":0.4634167551994324},{"id":"https://openalex.org/keywords/climbing","display_name":"Climbing","score":0.4398079812526703},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.41532444953918457},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.40724706649780273},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.3597348630428314},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2856225371360779},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15275004506111145},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.11577388644218445},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09964212775230408},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08263033628463745},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.07254922389984131}],"concepts":[{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.7894775867462158},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.7201943397521973},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5659805536270142},{"id":"https://openalex.org/C135798126","wikidata":"https://www.wikidata.org/wiki/Q2167279","display_name":"Top-down and bottom-up design","level":2,"score":0.5267343521118164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49148619174957275},{"id":"https://openalex.org/C512170562","wikidata":"https://www.wikidata.org/wiki/Q173799","display_name":"Entertainment","level":2,"score":0.4634167551994324},{"id":"https://openalex.org/C95038775","wikidata":"https://www.wikidata.org/wiki/Q22857","display_name":"Climbing","level":2,"score":0.4398079812526703},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.41532444953918457},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.40724706649780273},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3597348630428314},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2856225371360779},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15275004506111145},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.11577388644218445},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09964212775230408},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08263033628463745},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.07254922389984131},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9005686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9005686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","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":39,"referenced_works":["https://openalex.org/W96341436","https://openalex.org/W1522301498","https://openalex.org/W1527499847","https://openalex.org/W1533861849","https://openalex.org/W1570159982","https://openalex.org/W1938107111","https://openalex.org/W1994389483","https://openalex.org/W2003605635","https://openalex.org/W2021674147","https://openalex.org/W2062993469","https://openalex.org/W2064702560","https://openalex.org/W2080567541","https://openalex.org/W2092594752","https://openalex.org/W2114079787","https://openalex.org/W2151094178","https://openalex.org/W2156387975","https://openalex.org/W2172118809","https://openalex.org/W2510551615","https://openalex.org/W2516131069","https://openalex.org/W2605350416","https://openalex.org/W2626473670","https://openalex.org/W2753222962","https://openalex.org/W2798538558","https://openalex.org/W2911417107","https://openalex.org/W2912701824","https://openalex.org/W2914110038","https://openalex.org/W2951217911","https://openalex.org/W2955081857","https://openalex.org/W2963323306","https://openalex.org/W2963403868","https://openalex.org/W2964121744","https://openalex.org/W4248672808","https://openalex.org/W4301312111","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6631714367","https://openalex.org/W6631943919","https://openalex.org/W6682889407","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4249931501","https://openalex.org/W1988185375","https://openalex.org/W2331805603","https://openalex.org/W2075959928","https://openalex.org/W2154901060","https://openalex.org/W2166481065","https://openalex.org/W2067443318","https://openalex.org/W3147483844"],"abstract_inverted_index":{"Most":[0],"of":[1,13,32,42,75,160,188,224,246],"current":[2],"group":[3,15,57,65,88,102,120,154,165,180,190,200],"recommenders":[4],"only":[5],"consider":[6],"the":[7,11,20,23,30,40,52,73,77,80,84,98,116,147,169,175,179,182,186,198,204,209,212,222,226,235],"bottom-up":[8,148,205],"influences,":[9,54],"i.e.,":[10,55],"preference":[12,31,41,159,187],"a":[14,33,43,56,64,87,101,119,132,153,161,164,189,192,229],"is":[16,166,195,218],"greatly":[17],"affected":[18],"by":[19,173,202],"members":[21,78,85,99,123,210,227],"in":[22,47,79,86,100,163],"group.":[24,45,81],"For":[25,82],"example,":[26],"children":[27],"usually":[28],"dominate":[29],"family":[34],"while":[35],"senior":[36],"experts":[37],"often":[38,66],"lead":[39],"professional":[44],"However,":[46],"reality":[48],"there":[49],"also":[50],"exist":[51],"top-down":[53,150,176],"inherently":[58],"affects":[59],"its":[60,122,156],"every":[61],"member,":[62],"because":[63],"has":[67],"some":[68],"distinct":[69],"themes":[70],"which":[71],"limit":[72],"preferences":[74,223],"all":[76,208,225],"instance,":[83],"for":[89,103,135],"sports":[90],"may":[91],"prefer":[92],"hiking":[93],"and":[94,110,121,149,155,239],"rock":[95],"climbing,":[96],"whereas":[97],"entertainment":[104],"would":[105],"like":[106],"to":[107,181,211,220],"watch":[108],"movies":[109],"play":[111],"games.":[112],"In":[113,184],"other":[114,258],"words,":[115],"influences":[117,151,177,206],"between":[118,152,237],"are":[124],"dual.":[125],"To":[126],"this":[127,129],"end,":[128],"paper":[130],"proposes":[131],"new":[133],"model":[134],"Group":[136],"Recommendation":[137],"using":[138],"Attentive":[139],"Dual":[140],"Influences":[141],"(GRADI)":[142],"that":[143,255],"simultaneously":[144],"explores":[145],"both":[146],"members.":[157],"The":[158],"member":[162,171],"represented":[167,196],"as":[168,197],"group-specific":[170],"embedding":[172],"modeling":[174],"from":[178,207],"member.":[183],"addition,":[185],"on":[191,228,250],"target":[193,230],"item":[194],"item-specific":[199],"representation":[201],"considering":[203],"group,":[213],"where":[214],"an":[215],"attentive":[216],"mechanism":[217],"developed":[219],"aggregate":[221],"item.":[231],"Furthermore,":[232],"GRADI":[233,256],"investigates":[234],"interactions":[236],"groups":[238],"items":[240],"with":[241],"neural":[242],"collaborative":[243],"filtering.":[244],"Results":[245],"extensive":[247],"experiments":[248],"conducted":[249],"two":[251],"real-world":[252],"datasets":[253],"show":[254],"outperforms":[257],"state-of-the-art":[259],"models.":[260]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-02-13T13:36:01.753593","created_date":"2025-10-10T00:00:00"}
