{"id":"https://openalex.org/W4281688356","doi":"https://doi.org/10.3233/web-210484","title":"Intelligent retrieval method of library document information based on hidden topic mining","display_name":"Intelligent retrieval method of library document information based on hidden topic mining","publication_year":2022,"publication_date":"2022-06-07","ids":{"openalex":"https://openalex.org/W4281688356","doi":"https://doi.org/10.3233/web-210484"},"language":"en","primary_location":{"id":"doi:10.3233/web-210484","is_oa":false,"landing_page_url":"https://doi.org/10.3233/web-210484","pdf_url":null,"source":{"id":"https://openalex.org/S4210183871","display_name":"Web Intelligence","issn_l":"2405-6456","issn":["2405-6456","2405-6464"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Web Intelligence","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/A5089896447","display_name":"AN Yu-jie","orcid":null},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie An","raw_affiliation_strings":["The Library, Hebei University of Engineering, Handan 056038, China"],"affiliations":[{"raw_affiliation_string":"The Library, Hebei University of Engineering, Handan 056038, China","institution_ids":["https://openalex.org/I106079672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102628672","display_name":"Yuwei Yan","orcid":"https://orcid.org/0009-0005-6418-0412"},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuwei Yan","raw_affiliation_strings":["Logistics Management Office, Hebei University of Engineering, Handan 056038, China"],"affiliations":[{"raw_affiliation_string":"Logistics Management Office, Hebei University of Engineering, Handan 056038, China","institution_ids":["https://openalex.org/I106079672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102628672"],"corresponding_institution_ids":["https://openalex.org/I106079672"],"apc_list":null,"apc_paid":null,"fwci":0.7125,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74266455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"20","issue":"2","first_page":"93","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.8489999771118164,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.8489999771118164,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.801800012588501,"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.7864999771118164,"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":0.7977879643440247},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.734333872795105},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.684918224811554},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.6645617485046387},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5833308100700378},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5352006554603577},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5147254467010498},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.5018424987792969},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4523237645626068},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4272998571395874},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3003091812133789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27255499362945557},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.1644068956375122},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08416503667831421}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7977879643440247},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.734333872795105},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.684918224811554},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.6645617485046387},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5833308100700378},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5352006554603577},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5147254467010498},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.5018424987792969},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4523237645626068},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4272998571395874},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3003091812133789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27255499362945557},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.1644068956375122},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08416503667831421},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/web-210484","is_oa":false,"landing_page_url":"https://doi.org/10.3233/web-210484","pdf_url":null,"source":{"id":"https://openalex.org/S4210183871","display_name":"Web Intelligence","issn_l":"2405-6456","issn":["2405-6456","2405-6464"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Web Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2770789935","https://openalex.org/W2804450002","https://openalex.org/W2806571500","https://openalex.org/W2910303837","https://openalex.org/W3119837547","https://openalex.org/W3138769765"],"related_works":["https://openalex.org/W74952720","https://openalex.org/W3028990185","https://openalex.org/W1579794579","https://openalex.org/W2165159668","https://openalex.org/W3186475613","https://openalex.org/W1985466664","https://openalex.org/W2154282042","https://openalex.org/W2161475985","https://openalex.org/W2097605975","https://openalex.org/W1580192285"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,38,75],"overcome":[3],"the":[4,40,51,66,72,77,82,96,100,105,112,120,125],"problems":[5],"of":[6,11,24,43,56],"retrieval":[7,15,22,84,94,101,107,113,126],"accuracy":[8,102,108,127],"and":[9,47,111,128],"time-consuming":[10],"traditional":[12,93],"document":[13,26,45,57],"information":[14,27,58,80],"methods,":[16,95],"this":[17],"paper":[18],"designs":[19],"an":[20],"intelligent":[21],"method":[23,98,122],"library":[25,44,78],"based":[28,49],"on":[29,50],"hidden":[30,41],"topic":[31],"mining.":[32],"Firstly,":[33],"LDA":[34],"model":[35,68],"is":[36,59,69,115],"used":[37],"mine":[39],"topics":[42],"information,":[46],"then,":[48],"mining":[52],"results,":[53],"similarity":[54],"degree":[55],"calculated":[60],"in":[61,71],"inference":[62],"network":[63],"model.":[64],"Finally,":[65],"Bayesian":[67],"constructed":[70],"sample":[73],"space":[74,85],"retrieve":[76],"literature":[79],"under":[81],"maximum":[83],"coverage.":[86],"Experimental":[87],"results":[88],"show":[89],"that,":[90],"compared":[91],"with":[92,104],"proposed":[97,121],"improves":[99,124],"significantly,":[103],"highest":[106],"reaching":[109],"99%,":[110],"time":[114],"significantly":[116],"reduced,":[117],"indicating":[118],"that":[119],"effectively":[123],"timeliness.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-03T06:13:14.889584","created_date":"2025-10-10T00:00:00"}