{"id":"https://openalex.org/W4385488704","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191725","title":"Recommendation with Dynamic Natural Language Explanations","display_name":"Recommendation with Dynamic Natural Language Explanations","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385488704","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191725"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191725","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","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/A5100407758","display_name":"Xi Li","orcid":"https://orcid.org/0000-0003-3023-1662"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xi Li","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China,Beijing,China","Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China,Beijing,China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China","institution_ids":["https://openalex.org/I4210096250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101658564","display_name":"Jingsen Zhang","orcid":"https://orcid.org/0000-0003-2997-3386"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingsen Zhang","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China,Beijing,China","Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China,Beijing,China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China","institution_ids":["https://openalex.org/I4210096250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112972631","display_name":"Xiaohe Bo","orcid":"https://orcid.org/0009-0006-3853-3218"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohe Bo","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University,Beijing,China","School of Artificial Intelligence, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University,Beijing,China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101573205","display_name":"Lei Wang","orcid":"https://orcid.org/0009-0002-7769-6918"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China,Beijing,China","Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China","Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China,Beijing,China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101755392","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0003-0144-1775"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Chen","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China,Beijing,China","Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China","Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China,Beijing,China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100407758"],"corresponding_institution_ids":["https://openalex.org/I4210096250","https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":0.4589,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67388645,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"521","issue":null,"first_page":"01","last_page":"08"},"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/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.991599977016449,"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/computer-science","display_name":"Computer science","score":0.8347797393798828},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6689459085464478},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6316480040550232},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.5661293268203735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.525642991065979},{"id":"https://openalex.org/keywords/user-satisfaction","display_name":"User satisfaction","score":0.504097580909729},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.46511533856391907},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4454807639122009},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4325195550918579},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3753144145011902},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3367663025856018},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3117363750934601},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.1692211925983429}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8347797393798828},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6689459085464478},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6316480040550232},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.5661293268203735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.525642991065979},{"id":"https://openalex.org/C3017893058","wikidata":"https://www.wikidata.org/wiki/Q999278","display_name":"User satisfaction","level":2,"score":0.504097580909729},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.46511533856391907},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4454807639122009},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4325195550918579},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3753144145011902},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3367663025856018},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3117363750934601},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.1692211925983429},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191725","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1985854669","https://openalex.org/W2006822005","https://openalex.org/W2101105183","https://openalex.org/W2152184085","https://openalex.org/W2154652894","https://openalex.org/W2171279286","https://openalex.org/W2739992143","https://openalex.org/W2740167620","https://openalex.org/W2749348810","https://openalex.org/W2798435682","https://openalex.org/W2798713837","https://openalex.org/W2809307135","https://openalex.org/W2919115771","https://openalex.org/W2963367478","https://openalex.org/W2964044287","https://openalex.org/W2965744319","https://openalex.org/W2984100107","https://openalex.org/W3094497946","https://openalex.org/W3100480425","https://openalex.org/W3101366597","https://openalex.org/W3175536494","https://openalex.org/W4299286960","https://openalex.org/W6682631176","https://openalex.org/W6685115820","https://openalex.org/W6692935382"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W3092950680","https://openalex.org/W1657011257","https://openalex.org/W2537376277","https://openalex.org/W2063989329","https://openalex.org/W1548943108","https://openalex.org/W2624385866","https://openalex.org/W2071480855","https://openalex.org/W2808833968"],"abstract_inverted_index":{"Explaining":[0],"recommendation":[1,15],"with":[2,58],"natural":[3],"languages":[4],"has":[5],"shown":[6],"to":[7,12,71,87,92,118,134,155,172],"be":[8,190],"an":[9,73],"effective":[10],"strategy":[11],"improve":[13],"the":[14,31,41,50,59,79,94,100,107,120,136,147,157,165,174,186,200,214],"pervasiveness":[16],"and":[17,47,49,98,124,141,197,206,220],"user":[18,42,52,80,95,121,158],"satisfaction.":[19],"While":[20],"recent":[21],"years":[22],"have":[23,55],"witnessed":[24],"many":[25],"promising":[26],"models,":[27],"they":[28],"mostly":[29],"consider":[30],"user-item":[32],"interactions":[33,123],"as":[34],"independent":[35,116],"samples.":[36],"However,":[37],"in":[38,66,184],"real-world":[39,182],"scenarios,":[40],"preference":[43],"is":[44,86],"always":[45],"dynamic":[46,81],"evolving,":[48],"current":[51,166],"behaviors":[53,159],"may":[54],"strong":[56],"correlations":[57],"previous":[60],"ones.":[61],"To":[62],"bridge":[63],"this":[64,67],"gap,":[65],"paper,":[68],"we":[69,112,128,150,211],"propose":[70],"build":[72,88],"explainable":[74],"recommender":[75],"model":[76,91,119,178],"by":[77,104,192],"considering":[78],"preference.":[82],"Our":[83],"general":[84],"idea":[85],"a":[89,130,152],"sequential":[90,122],"capture":[93],"history":[96,148],"behaviors,":[97],"then":[99],"explanations":[101,216],"are":[102,161],"generated":[103,215],"summarizing":[105],"all":[106],"past":[108],"interactions.":[109],"In":[110,209],"specific,":[111],"firstly":[113],"deploy":[114],"two":[115],"components":[117],"reviews":[125],"separately.":[126],"Then,":[127],"design":[129],"duration-aware":[131],"attention":[132],"mechanism":[133],"discriminate":[135],"importance":[137],"of":[138,176,202],"different":[139],"items":[140],"reviews.":[142],"For":[143],"more":[144],"effectively":[145],"modeling":[146],"information,":[149],"introduce":[151],"denoising":[153],"module":[154],"remove":[156],"which":[160,185],"less":[162],"important":[163],"for":[164],"prediction.":[167],"We":[168],"conduct":[169],"extensive":[170],"experiments":[171],"demonstrate":[173],"effectiveness":[175],"our":[177],"based":[179],"on":[180,199],"three":[181],"datasets,":[183],"best":[187],"performance":[188],"can":[189],"improved":[191],"about":[193],"13.3%,":[194],"6.5%,":[195],"5.0%":[196],"1.9%":[198],"metrics":[201],"BLEU-1,":[203],"ROUGE-1,":[204],"ROUGE-2":[205],"MAE,":[207],"respectively.":[208],"addition,":[210],"also":[212],"evaluate":[213],"from":[217],"both":[218],"qualitative":[219,221],"perspectives.":[222]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
