{"id":"https://openalex.org/W3187845168","doi":"https://doi.org/10.1109/tnse.2021.3100864","title":"HNF: Hybrid Neural Filtering Based on Centrality-Aware Random Walk for Personalized Recommendation","display_name":"HNF: Hybrid Neural Filtering Based on Centrality-Aware Random Walk for Personalized Recommendation","publication_year":2021,"publication_date":"2021-07-30","ids":{"openalex":"https://openalex.org/W3187845168","doi":"https://doi.org/10.1109/tnse.2021.3100864","mag":"3187845168"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2021.3100864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2021.3100864","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Network Science and 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/A5082460527","display_name":"Shenghao Liu","orcid":"https://orcid.org/0000-0001-8993-8940"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenghao Liu","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8993-8940","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071384393","display_name":"Bang Wang","orcid":"https://orcid.org/0000-0002-0312-4805"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bang Wang","raw_affiliation_strings":["School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0312-4805","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049154222","display_name":"Laurence T. Yang","orcid":"https://orcid.org/0000-0002-7986-4244"},"institutions":[{"id":"https://openalex.org/I197191942","display_name":"St. Francis Xavier University","ror":"https://ror.org/01wcaxs37","country_code":"CA","type":"education","lineage":["https://openalex.org/I197191942"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Laurence T. Yang","raw_affiliation_strings":["Department of Computer Science, St.Francis Xavier University, Antigonish, NS, Canada"],"raw_orcid":"https://orcid.org/0000-0002-7986-4244","affiliations":[{"raw_affiliation_string":"Department of Computer Science, St.Francis Xavier University, Antigonish, NS, Canada","institution_ids":["https://openalex.org/I197191942"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["Department of Computer Science, University of Illinois, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0000-0002-3491-5968","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Illinois, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6883,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.93655156,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"9","issue":"3","first_page":"1056","last_page":"1066"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9977999925613403,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/centrality","display_name":"Centrality","score":0.7367336750030518},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6638762354850769},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.6630165576934814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6570320725440979},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5280063152313232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47652968764305115},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3098156452178955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16088971495628357},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11883127689361572}],"concepts":[{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.7367336750030518},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6638762354850769},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.6630165576934814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6570320725440979},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5280063152313232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47652968764305115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3098156452178955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16088971495628357},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11883127689361572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2021.3100864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2021.3100864","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3357159087","display_name":"\u57fa\u4e8e\u5f02\u6784\u878d\u5408\u4e0e\u6807\u6ce8\u62df\u5408\u7684\u591a\u5c42\u6b21\u81ea\u6cbb\u6307\u7eb9\u5730\u56fe\u7684\u7814\u7a76\u4e0e\u5e94\u7528","funder_award_id":"61771209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1508314812","https://openalex.org/W1536060130","https://openalex.org/W1630120994","https://openalex.org/W1854214752","https://openalex.org/W2008886893","https://openalex.org/W2025605741","https://openalex.org/W2040873223","https://openalex.org/W2047729491","https://openalex.org/W2056246507","https://openalex.org/W2062713333","https://openalex.org/W2140310134","https://openalex.org/W2270277444","https://openalex.org/W2287847324","https://openalex.org/W2340502990","https://openalex.org/W2567566020","https://openalex.org/W2596860718","https://openalex.org/W2605350416","https://openalex.org/W2739871713","https://openalex.org/W2743104969","https://openalex.org/W2743159750","https://openalex.org/W2745413481","https://openalex.org/W2750004028","https://openalex.org/W2750181766","https://openalex.org/W2788728386","https://openalex.org/W2796104693","https://openalex.org/W2799012401","https://openalex.org/W2807021761","https://openalex.org/W2884134047","https://openalex.org/W2893775232","https://openalex.org/W2903831494","https://openalex.org/W2914259457","https://openalex.org/W2914576459","https://openalex.org/W2917997148","https://openalex.org/W2945827670","https://openalex.org/W2947936100","https://openalex.org/W2953498051","https://openalex.org/W2954123367","https://openalex.org/W2955966953","https://openalex.org/W2962756421","https://openalex.org/W2963146368","https://openalex.org/W2991423131","https://openalex.org/W2994685662","https://openalex.org/W2998101974","https://openalex.org/W3011131042","https://openalex.org/W3038439974","https://openalex.org/W3040127368","https://openalex.org/W3049724972","https://openalex.org/W3080576782","https://openalex.org/W3081199790","https://openalex.org/W3100278010","https://openalex.org/W3100790518","https://openalex.org/W3100848837","https://openalex.org/W3102150201","https://openalex.org/W3105787366","https://openalex.org/W3124675547","https://openalex.org/W4231990774","https://openalex.org/W6639055396","https://openalex.org/W6680830989","https://openalex.org/W6684754188","https://openalex.org/W6726873649"],"related_works":["https://openalex.org/W4229078645","https://openalex.org/W1977345676","https://openalex.org/W4282032776","https://openalex.org/W2047552823","https://openalex.org/W4321606905","https://openalex.org/W3130445735","https://openalex.org/W2105110616","https://openalex.org/W2747930654","https://openalex.org/W2739658809","https://openalex.org/W2419362237"],"abstract_inverted_index":{"Social":[0],"computing":[1],"which":[2],"analyzes":[3],"users\u2019":[4,35],"behaviors":[5],"can":[6],"help":[7],"personalized":[8,18],"recommender":[9,19],"system":[10],"to":[11,26,49,78,101,112,120],"extract":[12],"preferences":[13],"of":[14,17,29,53,63,82,105,148],"users.":[15],"Most":[16],"systems":[20],"exploit":[21],"a":[22,44,86,93],"user-item":[23,83,87,94,106],"rating":[24,95,125],"matrix":[25],"learn":[27,50,79,102],"representations":[28,54,81,104,116,119,123],"users":[30],"and":[31,55,71,117],"items":[32],"for":[33,58,124],"predicting":[34],"ratings":[36],"on":[37,92,130],"items.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42],"design":[43],"new":[45],"framework,":[46],"called":[47],"HNF,":[48],"two":[51],"kinds":[52],"fuse":[56,113],"them":[57],"recommendation.":[59],"Our":[60],"HNF":[61,140],"consists":[62],"atopological":[64],"neural":[65,68],"filtering(TNF)":[66],"module,collaborative":[67],"filtering(CNF)":[69],"module":[70,76,99,110],"prediction":[72,109],"module.":[73],"The":[74,97,108],"TNF":[75],"is":[77,100],"topological":[80,115],"interactions":[84],"from":[85],"bipartite":[88],"graph":[89],"constructed":[90],"based":[91],"matrix.":[96],"CNF":[98],"collaborative":[103,118],"interactions.":[107],"aims":[111],"the":[114,143],"generate":[121],"hybrid":[122],"prediction.":[126],"We":[127],"conduct":[128],"experiments":[129],"three":[131],"real-world":[132],"public":[133],"datasets.":[134],"Results":[135],"validate":[136],"that":[137],"our":[138],"proposed":[139],"algorithm":[141],"outperforms":[142],"state-of-the-art":[144],"algorithms":[145],"in":[146],"terms":[147],"higher":[149],"evaluation":[150],"metrics.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
