{"id":"https://openalex.org/W3012642003","doi":"https://doi.org/10.1145/3366423.3380178","title":"Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit","display_name":"Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3012642003","doi":"https://doi.org/10.1145/3366423.3380178","mag":"3012642003"},"language":"en","primary_location":{"id":"doi:10.1145/3366423.3380178","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380178","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3366423.3380178","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100352416","display_name":"Xian Wu","orcid":"https://orcid.org/0000-0003-0840-5857"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xian Wu","raw_affiliation_strings":["university of notre dame, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"university of notre dame, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004451990","display_name":"Suleyman Cetintas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suleyman Cetintas","raw_affiliation_strings":["Yahoo Research, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Research, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046957909","display_name":"Deguang Kong","orcid":"https://orcid.org/0000-0001-9415-8439"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deguang Kong","raw_affiliation_strings":["Google, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103253730","display_name":"L\u00fc Miao","orcid":"https://orcid.org/0000-0003-2337-9319"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miao Lu","raw_affiliation_strings":["Yahoo Research, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Research, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009644404","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0002-4408-1952"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["Yahoo Research, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Research, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068157871","display_name":"Nitesh V. Chawla","orcid":"https://orcid.org/0000-0003-3932-5956"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nitesh Chawla","raw_affiliation_strings":["University of Notre Dame, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame, USA","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3013,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81920936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"995","last_page":"1005"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9991000294685364,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9951000213623047,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9929999709129333,"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/modal","display_name":"Modal","score":0.7294684052467346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6719565391540527},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5035476088523865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5027387142181396},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4657866060733795},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.4374571144580841},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19109567999839783},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13421911001205444}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7294684052467346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6719565391540527},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5035476088523865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5027387142181396},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4657866060733795},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.4374571144580841},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19109567999839783},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13421911001205444},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3366423.3380178","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380178","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3366423.3380178","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380178","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W282081402","https://openalex.org/W1949591461","https://openalex.org/W2010187764","https://openalex.org/W2045865594","https://openalex.org/W2064556564","https://openalex.org/W2091158010","https://openalex.org/W2102937240","https://openalex.org/W2112420033","https://openalex.org/W2137028279","https://openalex.org/W2138909795","https://openalex.org/W2147892741","https://openalex.org/W2153579005","https://openalex.org/W2167489871","https://openalex.org/W2340290367","https://openalex.org/W2340502990","https://openalex.org/W2344889085","https://openalex.org/W2358698356","https://openalex.org/W2475334473","https://openalex.org/W2532022121","https://openalex.org/W2548459939","https://openalex.org/W2604433096","https://openalex.org/W2605350416","https://openalex.org/W2725606191","https://openalex.org/W2741249238","https://openalex.org/W2743104969","https://openalex.org/W2787933113","https://openalex.org/W2788967985","https://openalex.org/W2798369493","https://openalex.org/W2950978108","https://openalex.org/W2951573205","https://openalex.org/W2962755588","https://openalex.org/W2962756421","https://openalex.org/W2962818688","https://openalex.org/W2963243812","https://openalex.org/W2964059111","https://openalex.org/W2964330179"],"related_works":["https://openalex.org/W2379392295","https://openalex.org/W3160965418","https://openalex.org/W613940353","https://openalex.org/W2320915480","https://openalex.org/W2362990116","https://openalex.org/W2381300099","https://openalex.org/W2391251536","https://openalex.org/W2714992399","https://openalex.org/W2383812217","https://openalex.org/W2362198218"],"abstract_inverted_index":{"Contextual":[0],"multi-armed":[1],"bandit":[2],"algorithms":[3],"have":[4,34,103],"received":[5],"significant":[6,22],"attention":[7],"in":[8,17,81],"modeling":[9],"users\u2019":[10,79],"preferences":[11,80],"for":[12,99],"online":[13],"personalized":[14],"recommender":[15],"systems":[16],"a":[18,30,41],"timely":[19],"manner.":[20],"While":[21],"progress":[23],"has":[24],"been":[25,36],"made":[26],"along":[27],"this":[28],"direction,":[29],"few":[31],"major":[32],"challenges":[33],"not":[35,76],"well":[37],"addressed":[38],"yet:":[39],"(i)":[40],"vast":[42],"majority":[43],"of":[44,58],"the":[45,66,82],"literature":[46,63],"is":[47],"based":[48,89],"on":[49,90],"linear":[50],"models":[51],"that":[52],"cannot":[53],"capture":[54],"complex":[55],"non-linear":[56],"inter-dependencies":[57],"user-item":[59],"interactions;":[60],"(ii)":[61],"existing":[62],"mainly":[64,88],"ignores":[65],"latent":[67],"relations":[68],"among":[69],"users":[70,101],"and":[71,93],"non-recommended":[72],"items:":[73],"hence":[74],"may":[75],"properly":[77],"reflect":[78],"real-world;":[83],"(iii)":[84],"current":[85],"solutions":[86],"are":[87,94],"historical":[91],"data":[92],"prone":[95],"to":[96],"cold-start":[97],"problems":[98],"new":[100],"who":[102],"no":[104],"interaction":[105],"history.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
