{"id":"https://openalex.org/W4225614464","doi":"https://doi.org/10.1145/3507548.3507582","title":"Text Recommendation Algorithm Fused with BERT Semantic Information","display_name":"Text Recommendation Algorithm Fused with BERT Semantic Information","publication_year":2021,"publication_date":"2021-12-04","ids":{"openalex":"https://openalex.org/W4225614464","doi":"https://doi.org/10.1145/3507548.3507582"},"language":"en","primary_location":{"id":"doi:10.1145/3507548.3507582","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3507548.3507582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Computer Science and Artificial Intelligence","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/A5108924164","display_name":"Xingyun Xie","orcid":"https://orcid.org/0009-0001-2561-555X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingyun Xie","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012087411","display_name":"Zifeng Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zifeng Ren","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089799736","display_name":"Yuming Gu","orcid":"https://orcid.org/0000-0002-8928-9685"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuming Gu","raw_affiliation_strings":["Zhongguancun Smart City Co.,Ltd, China"],"affiliations":[{"raw_affiliation_string":"Zhongguancun Smart City Co.,Ltd, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108046739","display_name":"Chengwen Zhang","orcid":"https://orcid.org/0000-0001-6767-9909"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengwen Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108924164"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34525193,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"223","last_page":"227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9976000189781189,"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":0.9976000189781189,"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":0.9861999750137329,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9754999876022339,"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/computer-science","display_name":"Computer science","score":0.8467705845832825},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6359851360321045},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.6285786628723145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.588917076587677},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.585806131362915},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5749220252037048},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.47491392493247986},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.45649614930152893},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43402713537216187},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4289560317993164},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1688390076160431},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07845091819763184}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8467705845832825},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6359851360321045},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.6285786628723145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.588917076587677},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.585806131362915},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5749220252037048},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.47491392493247986},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.45649614930152893},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43402713537216187},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4289560317993164},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1688390076160431},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07845091819763184},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3507548.3507582","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3507548.3507582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2142255604","https://openalex.org/W2523056093","https://openalex.org/W2741859754","https://openalex.org/W2742272831","https://openalex.org/W2884851420","https://openalex.org/W2976476443","https://openalex.org/W3105966348","https://openalex.org/W3188117086"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2176214140","https://openalex.org/W2516873349"],"abstract_inverted_index":{"Faced":[0],"with":[1,7,24],"the":[2,11,13,29,32,52,57,60,87,98,102,106,110,113,119,138,144],"problem":[3],"of":[4,15,31,59,92,101,105,112,147],"text":[5,83,108,120,139,162],"recommendation":[6,17,33,156],"massive":[8],"data":[9],"on":[10,20],"Internet,":[12],"use":[14],"a":[16,38,154],"method":[18],"based":[19],"deep":[21],"learning":[22],"combined":[23],"semantic":[25,66,135],"information":[26,67,136],"will":[27],"improve":[28],"accuracy":[30],"results.":[34],"Therefore,":[35],"we":[36,75,96],"propose":[37],"HyReB":[39,50,124,148],"(Hybrid":[40],"Recommendation":[41],"algorithm":[42,49,125],"combining":[43],"BERT":[44,53,77,88,134],"and":[45,63,71,78,85,109,132,152],"CNN":[46,61],"network).":[47],"The":[48,123],"uses":[51],"word":[54,89,115],"vector":[55,90,116],"as":[56],"input":[58],"network":[62],"incorporates":[64,133],"external":[65],"in":[68],"features":[69],"extraction":[70,129,146],"topic":[72,93,114],"classification.":[73],"Then":[74],"combine":[76],"TextRank":[79],"algorithms":[80],"to":[81,117],"extract":[82],"keywords":[84],"calculate":[86],"similarity":[91,111],"word.":[94],"Finally,":[95],"do":[97],"weighted":[99],"calculation":[100],"label":[103],"proportion":[104],"recommended":[107],"make":[118],"top-N":[121],"recommendation.":[122,140,163],"makes":[126],"user":[127],"interest":[128],"more":[130,150],"refined":[131],"into":[137],"Experiments":[141],"show":[142],"that":[143],"feature":[145],"is":[149],"accurate":[151,161],"has":[153],"better":[155],"effect":[157],"when":[158],"performing":[159],"small-scale":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}