{"id":"https://openalex.org/W3032675404","doi":"https://doi.org/10.1109/tkde.2020.2998695","title":"DRprofiling: Deep Reinforcement User Profiling for Recommendations in Heterogenous Information Networks","display_name":"DRprofiling: Deep Reinforcement User Profiling for Recommendations in Heterogenous Information Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3032675404","doi":"https://doi.org/10.1109/tkde.2020.2998695","mag":"3032675404"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.2998695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2998695","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/A5075528828","display_name":"Huizhi Liang","orcid":"https://orcid.org/0000-0003-4408-4528"},"institutions":[{"id":"https://openalex.org/I71052956","display_name":"University of Reading","ror":"https://ror.org/05v62cm79","country_code":"GB","type":"education","lineage":["https://openalex.org/I71052956"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Huizhi Liang","raw_affiliation_strings":["Computer Science, University of Reading, Reading, U.K"],"affiliations":[{"raw_affiliation_string":"Computer Science, University of Reading, Reading, U.K","institution_ids":["https://openalex.org/I71052956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5075528828"],"corresponding_institution_ids":["https://openalex.org/I71052956"],"apc_list":null,"apc_paid":null,"fwci":4.2705,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.94925603,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9847999811172485,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8798276782035828},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.8477668762207031},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.7549506425857544},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7148345708847046},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7129963636398315},{"id":"https://openalex.org/keywords/user-information","display_name":"User information","score":0.44583678245544434},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.44387632608413696},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39021146297454834},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.34521782398223877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32670700550079346},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3200624883174896},{"id":"https://openalex.org/keywords/information-system","display_name":"Information system","score":0.25701770186424255},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.24120336771011353}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8798276782035828},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.8477668762207031},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7549506425857544},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7148345708847046},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7129963636398315},{"id":"https://openalex.org/C2777622855","wikidata":"https://www.wikidata.org/wiki/Q7901844","display_name":"User information","level":3,"score":0.44583678245544434},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.44387632608413696},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39021146297454834},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.34521782398223877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32670700550079346},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3200624883174896},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.25701770186424255},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.24120336771011353},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tkde.2020.2998695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2998695","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"},{"id":"pmh:oai:centaur.reading.ac.uk:90823","is_oa":false,"landing_page_url":"https://centaur.reading.ac.uk/view/creators/90008875.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4306402273","display_name":"CentAUR (University of Reading)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71052956","host_organization_name":"University of Reading","host_organization_lineage":["https://openalex.org/I71052956"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:eprints.ncl.ac.uk:279373","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402485","display_name":"Newcastle University ePrints (Newcastle Univesity)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I84884186","host_organization_name":"Newcastle University","host_organization_lineage":["https://openalex.org/I84884186"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1512387364","https://openalex.org/W1988578917","https://openalex.org/W2054141820","https://openalex.org/W2062797058","https://openalex.org/W2067473587","https://openalex.org/W2078863333","https://openalex.org/W2094524282","https://openalex.org/W2135263912","https://openalex.org/W2138108551","https://openalex.org/W2145339207","https://openalex.org/W2151498529","https://openalex.org/W2157881433","https://openalex.org/W2171960770","https://openalex.org/W2283196293","https://openalex.org/W2295128594","https://openalex.org/W2295989666","https://openalex.org/W2475334473","https://openalex.org/W2550483918","https://openalex.org/W2565989828","https://openalex.org/W2743104969","https://openalex.org/W2787933113","https://openalex.org/W2788295351","https://openalex.org/W2792839191","https://openalex.org/W2945623882","https://openalex.org/W2962886429","https://openalex.org/W2963707260","https://openalex.org/W2963842088","https://openalex.org/W3098087397","https://openalex.org/W3100789280","https://openalex.org/W4241811150","https://openalex.org/W6630221451","https://openalex.org/W6678830454","https://openalex.org/W6680830989","https://openalex.org/W6694521564","https://openalex.org/W6759896672","https://openalex.org/W6767649332"],"related_works":["https://openalex.org/W2114753133","https://openalex.org/W2489977678","https://openalex.org/W1485340534","https://openalex.org/W4385242450","https://openalex.org/W3042298328","https://openalex.org/W2392634181","https://openalex.org/W134681502","https://openalex.org/W1682193014","https://openalex.org/W2132546753","https://openalex.org/W110866207"],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"are":[2,57],"popular":[3],"for":[4,90],"personalization":[5],"in":[6,186],"online":[7,25],"communities.":[8],"Users,":[9],"items,":[10,72],"and":[11,20,73,126,146,167,175],"other":[12,74],"affiliated":[13],"information":[14,30,79,123],"such":[15],"as":[16,99],"tags,":[17],"item":[18],"genres,":[19],"user":[21,87,94,145],"friends":[22],"of":[23,37,77,180],"an":[24,49,138,147],"community":[26],"form":[27],"a":[28,84,100,110,128,144,159],"heterogenous":[29,122],"network.":[31,80],"User":[32],"profiling":[33,88,95],"is":[34,97,137,184],"the":[35,43,68,78,120,153,181],"foundation":[36],"personalized":[38],"recommender":[39,91],"systems.":[40,92],"It":[41],"provides":[42],"basis":[44],"to":[45,53,133,163,170],"discover":[46],"knowledge":[47,169],"about":[48],"individual":[50],"user\u2019s":[51],"interests":[52],"items.":[54],"Typically,":[55],"users":[56],"profiled":[58],"with":[59,109,119],"their":[60],"direct":[61],"explicit":[62],"or":[63,140],"implicit":[64],"ratings,":[65],"which":[66,105],"ignored":[67],"inter-connections":[69],"among":[70],"users,":[71,172],"entity":[75],"nodes":[76],"This":[81],"paper":[82,157],"proposes":[83,158],"deep":[85],"reinforcement":[86],"approach":[89],"The":[93,115,178],"process":[96,162],"framed":[98],"sequential":[101],"decision":[102,129],"making":[103,130],"problem":[104],"can":[106],"be":[107],"solved":[108],"Reinforcement":[111],"Learning":[112],"(RL)":[113],"agent.":[114],"RL":[116,154],"agent":[117],"interacts":[118],"external":[121],"network":[124,132],"environment":[125],"learns":[127],"policy":[131],"decide":[134],"whether":[135],"there":[136],"interest":[139],"preference":[141],"path":[142],"between":[143],"unobserved":[148],"item.":[149],"To":[150],"effectively":[151],"train":[152],"agent,":[155],"this":[156],"multi-iteration":[160],"training":[161],"combine":[164],"both":[165],"expert":[166],"data-specific":[168],"profile":[171],"generate":[173],"meta-paths,":[174],"make":[176],"recommendations.":[177],"effectiveness":[179],"proposed":[182],"approaches":[183],"demonstrated":[185],"experiments":[187],"conducted":[188],"on":[189],"three":[190],"datasets.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
